medical imaging hologram

Biomedical Imaging

Addressing the challenges of speed, quantification, and cost

출판물

자료 보기:

- PadChest-GR: A Bilingual Chest X-ray Dataset for Grounded Radiology Report Generation
  
  Daniel Coelho de Castro, Aurelia Bustos, Shruthi Bannur, Stephanie Hyland, Kenza Bouzid, Maria Teodora Wetscherek, Maria Dolores Sánchez-Valverde, Lara Jaques-Pérez, Lourdes Pérez-Rodríguez, Kenji Takeda, José María Salinas-Serrano, Javier Alvarez-Valle, Joaquín Galant-Herrero, Antonio Pertusa
  
  NEJM AI | June 2025, (AIdbp2401120)
  
  Publication DOI Preprint 다운로드 프로젝트
- Exploring Scalable Medical Image Encoders Beyond Text Supervision
  
  Fernando Pérez-García, Harshita Sharma, Sam Bond-Taylor, Kenza Bouzid, Valentina Salvatelli, Maximilian Ilse, Shruthi Bannur, Daniel Coelho de Castro, Anton Schwaighofer, Matthew P Lungren, Noel Codella, Stephanie Hyland, Javier Alvarez-Valle, Ozan Oktay
  
  Nature Machine Intelligence | January 2025, 제 7 권: pp. 119-130
  
  Publication DOI 다운로드 프로젝트
- MAIRA-Seg: Enhancing Radiology Report Generation with Segmentation-Aware Multimodal Large Language Models
  
  Harshita Sharma, Valentina Salvatelli, Shaury Srivastav, Kenza Bouzid, Shruthi Bannur, Daniel Coelho de Castro, Maximilian Ilse, Sam Bond-Taylor, Mercy Ranjit, Fabian Falck, Fernando Pérez-García, Anton Schwaighofer, Hannah Richardson (nee Murfet), Maria Teodora Wetscherek, Stephanie Hyland, Javier Alvarez-Valle
  
  Machine Learning for Health Symposium 2024 | December 2024
  
  Publication Preprint 프로젝트
- OSAIRIS: Lessons Learned from the Hospital-Based Implementation and Evaluation of an Open-Source Deep-Learning Model for Radiotherapy Image Segmentation
  
  Alexandra Constantinou, Andrew Hoole, David C. Wong, G. S. Sagoo, Javier Alvarez-Valle, Kenji Takeda, Tom Griffiths, Amy Edwards, Andrew Robinson, Liam Stubbington, Niall Bolger, Yvonne Rimmer, Thiraviyam Elumalai, K. T. Jayaprakash, Richard Benson, Ian Gleeson, Rebecca Sen, Louisa Stockton, Tian Wang, Stephanie Brown, E. Gatfield, C. Sanghera, Alexandros Mourounas, Barry Evans, Anita Anthony, Renteng Hou, Marian Toomey, K. Wildschut, Aviva Grisby, Gill Barnett, Rose McMullen, Raj Jena
  
  Clinical Oncology | October 2024
  
  DOI Github Github Github Github 프로젝트 프로젝트
- MAIRA-2: Grounded Radiology Report Generation
  
  Shruthi Bannur, Kenza Bouzid, Daniel Coelho de Castro, Anton Schwaighofer, Sam Bond-Taylor, Maximilian Ilse, Fernando Pérez-García, Valentina Salvatelli, Harshita Sharma, Felix Meissen, Mercy Ranjit, Shaury Srivastav, Julia Gong, Fabian Falck, Ozan Oktay, Anja Thieme, Matthew P Lungren, Maria Teodora Wetscherek, Javier Alvarez-Valle, Stephanie Hyland
  
  MSR-TR-2024-18 | June 2024
  
  글쓴이 Microsoft
  
  Preprint PDF Github 다운로드 프로젝트
- Multimodal Healthcare AI: Identifying and Designing Clinically Relevant Vision-Language Applications for Radiology
  
  Nur Yildirim, Hannah Richardson (nee Murfet), Maria T Wetscherek, Junaid Bajwa, Joseph Jacob, Mark A Pinnock, Stephen Harris, Daniel Coelho de Castro, Shruthi Bannur, Stephanie Hyland, Pratik Ghosh, Mercy Ranjit, Kenza Bouzid, Anton Schwaighofer, Fernando Pérez-García, Harshita Sharma, Ozan Oktay, Matthew P Lungren, Javier Alvarez-Valle, Aditya Nori, Anja Thieme
  
  CHI 2024 | May 2024
  
  Preprint Publication 프로젝트
- Challenges for Responsible AI Design and Workflow Integration in Healthcare: A Case Study of Automatic Feeding Tube Qualification in Radiology
  
  Anja Thieme, Abhijith Rajamohan, Benjamin Cooper, Heather Groombridge, Robert Simister, Barney Wong, Nicholas Woznitza, Mark Ames Pinnock, Maria Teodora Wetscherek, Cecily Morrison, Hannah Richardson (nee Murfet), Fernando Pérez-García, Stephanie Hyland, Shruthi Bannur, Daniel Coelho de Castro, Kenza Bouzid, Anton Schwaighofer, Mercy Ranjit, Harshita Sharma, Matthew P Lungren, Ozan Oktay, Javier Alvarez-Valle, Aditya Nori, Stephen Harris, Joseph Jacob
  
  ACM ToCHI | August 2025, 제 32 권(2): pp. 1-61
  
  Publication DOI 프로젝트
- Enabling large-scale screening of Barrett’s esophagus using weakly supervised deep learning in histopathology
  
  Kenza Bouzid, Harshita Sharma, Sarah Killcoyne, Daniel Coelho de Castro, Anton Schwaighofer, Maximilian Ilse, Valentina Salvatelli, Ozan Oktay, Sumanth Murthy, Lucas Bordeaux, Luiza Moore, Maria O'Donovan, Anja Thieme, Aditya Nori, Marcel Gehrung, Javier Alvarez-Valle
  
  Nature Communications | March 2024, 제 15 권
  
  DOI Publication PDF
- RadEdit: Stress-Testing Biomedical Vision Models via Diffusion Image Editing
  
  Fernando Pérez-García, Sam Bond-Taylor, Pedro P. Sanchez, Boris van Breugel, Daniel Coelho de Castro, Harshita Sharma, Valentina Salvatelli, Maria T. A. Wetscherek, Hannah Richardson (nee Murfet), Matthew P Lungren, Aditya Nori, Javier Alvarez-Valle, Ozan Oktay, Maximilian Ilse
  
  ECCV 2024 | December 2023
  
  Publication DOI Preprint 프로젝트
- MAIRA-1: A specialised large multimodal model for radiology report generation
  
  Stephanie Hyland, Shruthi Bannur, Kenza Bouzid, Daniel Coelho de Castro, Mercy Ranjit, Anton Schwaighofer, Fernando Pérez-García, Valentina Salvatelli, Shaury Srivastav, Anja Thieme, Noel Codella, Matthew P Lungren, Maria Teodora Wetscherek, Ozan Oktay, Javier Alvarez-Valle
  
  MSR-TR-2023-47 | November 2023
  
  글쓴이 Microsoft
  
  Publication 프로젝트
- Exploring the Boundaries of GPT-4 in Radiology
  
  Qianchu Liu, Stephanie Hyland, Shruthi Bannur, Kenza Bouzid, Daniel Coelho de Castro, Maria Teodora Wetscherek, Robert Tinn, Harshita Sharma, Fernando Pérez-García, Anton Schwaighofer, Pranav Rajpurkar, Sameer Tajdin Khanna, Hoifung Poon, Naoto Usuyama, Anja Thieme, Aditya Nori, Matthew P Lungren, Ozan Oktay, Javier Alvarez-Valle
  
  EMNLP 2023 | October 2023
  
  PDF Publication 프로젝트
- Learning to Exploit Temporal Structure for Biomedical Vision-Language Processing
  
  Shruthi Bannur, Stephanie Hyland, Flora Liu, Fernando Pérez-García, Maximilian Ilse, Daniel Coelho de Castro, Benedikt Boecking, Harshita Sharma, Kenza Bouzid, Anja Thieme, Anton Schwaighofer, Maria Teodora Wetscherek, Matthew Lungren, Aditya Nori, Javier Alvarez-Valle, Ozan Oktay
  
  The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) | June 2023
  
  Preprint 다운로드 프로젝트
- Foundation Models in Healthcare: Opportunities, Risks & Strategies Forward
  
  Anja Thieme, Aditya Nori, Marzyeh Ghassemi, Rishi Bommasani, Tariq Osman Andersen, Ewa Luger
  
  CHI 2023 | April 2023
  
  Publication 프로젝트
- Using Thematic Analysis in Healthcare HCI at CHI: A Scoping Review
  
  Robert Bowman, Camille Nadal, Kellie Morrissey, Anja Thieme, Gavin Doherty
  
  CHI 2023 | April 2023
  
  Publication
- Deep Learning Models for COVID-19 Chest X-ray Classification: Preventing Shortcut Learning Using Feature Disentanglement
  
  Caleb Robinson, Anusua Trivedi, Marian Blazes, Anthony Ortiz, Jocelyn Desbiens, Sunil Gupta, Rahul Dodhia, Pavan K Bhatraju, W Conrad Liles, Aaron Lee, Jayashree Kalpathy-Cramer, Juan M. Lavista Ferres
  
  PLOS | October 2022
  
  Publication PDF 프로젝트 프로젝트
- Making the Most of Text Semantics to Improve Biomedical Vision-Language Processing
  
  Benedikt Boecking, Naoto Usuyama, Shruthi Bannur, Daniel Coelho de Castro, Anton Schwaighofer, Stephanie Hyland, Maria Teodora Wetscherek, Tristan Naumann, Aditya Nori, Javier Alvarez-Valle, Hoifung Poon, Ozan Oktay
  
  The European Conference on Computer Vision (ECCV) | October 2022
  
  Preprint 동영상 다운로드 다운로드 프로젝트
- Active label cleaning for improved dataset quality under resource constraints
  
  Melanie Bernhardt, Daniel Coelho de Castro, Ryutaro Tanno, Anton Schwaighofer, Kerem C. Tezcan, Miguel Monteiro, Shruthi Bannur, Matthew P. Lungren, Aditya Nori, Ben Glocker, Javier Alvarez-Valle, Ozan Oktay
  
  Nature Communications | March 2022, 제 13 권(1161): pp. 1-11
  
  Publication Github 프로젝트 프로젝트
- Effective Deep Learning Approaches for Predicting COVID-19 Outcomes from Chest Computed Tomography Volumes
  
  Anusua Trivedi, Anthony Ortiz, Caleb Robinson, Jocelyn Desbiens, Marian Blazes, Sunil Gupta, Rahul Dodhia, Pavan Bhatraju, W Conrad Liles, Aaron Lee, Juan M. Lavista Ferres
  
  Nature Scientific Reports | February 2022
  
  Publication PDF 프로젝트 프로젝트
- Machine Learning for Auto-Segmentation in Radiotherapy Planning
  
  K Harrison, H Pullen, C Welsh, Ozan Oktay, Javier Alvarez-Valle, R Jena
  
  The Royal College of Radiologists – Clinical Oncology | January 2022, 제 34 권(2): pp. 74-88
  
  Publication 프로젝트 프로젝트
- Sociodemographic and clinical features predictive of SARS-CoV-2 test positivity across healthcare visit-types
  
  Jimmy Phuong, Stephanie Hyland, Stephen J. Mooney, Dustin R. Long, Kenji Takeda, Monica S. Vavilala, Kenton O’Hara
  
  PLOS ONE | October 2021
  
  Publication 프로젝트
- fastMRI+: Clinical Pathology Annotations for Knee and Brain Fully Sampled Multi-Coil MRI Data
  
  Ruiyang Zhao, Burhaneddin Yaman, Yuxin Zhang, Russell Stewart, Austin Dixon, Florian Knoll, Zhengnan Huang, Yvonne W. Lui, Michael Hansen, Matthew P. Lungren
  
  arXiv: Computer Vision and Pattern Recognition | September 2021, 제 arXiv:2109.03812 권
  
  Publication Github 프로젝트
- Hierarchical Analysis of Visual COVID-19 Features from Chest Radiographs
  
  Shruthi Bannur, Ozan Oktay, Melanie Bernhardt, Anton Schwaighofer, Rajesh Jena, Besmira Nushi, Sharan Wadhwani, Aditya Nori, Kal Natarajan, Shazad Ashraf, Javier Alvarez-Valle, Daniel Coelho de Castro
  
  ICML 2021 Workshop on Interpretable Machine Learning in Healthcare | July 2021
  
  PDF Preprint 프로젝트 프로젝트 프로젝트 프로젝트
- Addressing the Exorbitant Cost of Labeling Medical Images with Active Learning
  
  Saba Rahimi, Ozan Oktay, Javier Alvarez-Valle, Sujeeth Bharadwaj
  
  International Conference on Machine Learning in Medical Imaging and Analysis | June 2021
  
  Best Presentation Award
  
  Publication 프로젝트
- Automated Deep Segmentation of Healthy Organs in PSMA PET/CT Images
  
  Ivan Klyuzhin, Guillaume Chausse, Ingrid Bloise, Juan M. Lavista Ferres, Carlos Uribe, Arman Rahmim
  
  Journal of Nuclear Medicine | May 2021
  
  Publication 프로젝트
- Secure Medical Image Analysis with CrypTFlow
  
  Javier Alvarez-Valle, Pratik Bhatu, Nishanth Chandran, Divya Gupta, Aditya Nori, Aseem Rastogi, Mayank Rathee, Rahul Sharma, Shubham Ugare
  
  NeurIPS PPML Workshop | December 2020
  
  Publication 프로젝트 프로젝트
- Evaluation of Deep Learning to Augment Image Guided Radiotherapy for Head and Neck and Prostate Cancers
  
  Ozan Oktay, Jay Nanavati, Anton Schwaighofer, David Carter, Melissa Bristow, Ryutaro Tanno, Gill Barnett, David Noble, Yvonne Rimmer, Rajesh Jena, Ben Glocker, Kenton O'Hara, Christopher Bishop, Javier Alvarez-Valle, Aditya Nori
  
  JAMA | November 2020
  
  Publication 동영상 Github 프로젝트
- Binary Mode Multinomial Deep Learning Model for more efficient Automated Diabetic Retinopathy Detection
  
  Anusua Trivedi, J. Desbiens, Ron Gross, S. Gupta, Juan M. Lavista Ferres, Rahul Dodhia
  
  NeurIPS 2019 | December 2019
  
  PDF 프로젝트
- Unsupervised Learning for Cell-level Visual Representation in Histopathology Images with Generative Adversarial Networks
  
  Bo Hu, Ye Tang, Eric Chang, Yubo Fan, Maode Lai, Yan Xu
  
  IEEE Journal of Biomedical and Health Informatics | May 2019
  
  Publication 프로젝트
- Predicting breast tumor proliferation from whole-slide images: The TUPAC16 challenge
  
  Mitko Veta, Yujing J. Heng, Nikolas Stathonikos, Babak Ehteshami Bejnordi, Francisco Beca, Thomas Wollmann, Karl Rohr, Manan A. Shah, Dayong Wang, Mikael Rousson, Martin Hedlund, David Tellez, Francesco Ciompi, Erwan Zerhouni, David Lanyi, Matheus Viana, Vassili Kovalev, Vitali Liauchuk, Hady Ahmady Phoulady, Talha Qaiser, Simon Graham, Nasir Rajpoot, Erik Sjöblom, Jesper Molin, Kyunghyun Paeng, Sangheum Hwang, Sunggyun Park, Zhipeng Jia, Eric Chang, Yan Xu, Andrew H. Beck, Paul J. van Diest, Josien P. W. Pluim
  
  Medical Image Analysis | March 2019
  
  Publication 프로젝트
- 3D Convolutional Neural Networks for Tumor Segmentation using Long-range 2D Context
  
  Pawel Mlynarski, Herve' Delingette, Antonio Criminisi, Nicholas Ayache
  
  Computerized Medical Imaging and Graphics | February 2019
  
  Publication 프로젝트
- Unsupervised 3D End-to-End Medical Image Registration with Volume Tweening Network
  
  Tingfung Lau, Ji Luo, Shengyu Zhao, Eric Chang, Yan Xu
  
  February 2019
  
  Publication 프로젝트
- Deep Learning with Mixed Supervision for Brain Tumor Segmentation
  
  Pawel Mlynarski, Herve' Delingette, Antonio Criminisi, Nicholas Ayache
  
  December 2018
  
  Publication 프로젝트
- Autosegmentation of prostate anatomy for radiation treatment planning using deep decision forests of radiomic features
  
  M. W. Macomber, M. H. Phillips, Ivan Tarapov, R. Jena, Aditya Nori, David Carter, Loic Le Folgoc, Antonio Criminisi, M. J. Nyflot
  
  Physics in Medicine and Biology | November 2018, 제 63 권(23): pp. 235002-235002
  
  DOI PDF Publication
- Autosegmentation of prostate anatomy for radiation treatment planning using deep decision forests of radiomic features
  
  Meghan W Macomber, Mark Phillips, Ivan Tarapov, Rajesh Jena, Aditya Nori, David Carter, Loic Le Folgoc, Antonio Criminisi, Matthew J Nyflot
  
  Physics in Medicine & Biology | November 2018, 제 63 권(23)
  
  Publication 프로젝트
- Autofocus Layer for Semantic Segmentation
  
  Yao Qin, Konstantinos Kamnitsas, Siddharth Ancha, Jay Nanavati, Garrison W. Cottrell, Antonio Criminisi, Aditya Nori
  
  International Conference on Medical Image Computing & Computer Assisted Intervention (MICCAI) | September 2018
  
  DOI Publication 프로젝트
- Semi-Supervised Learning via Compact Latent Space Clustering
  
  Konstantinos Kamnitsas, Daniel C. Castro, Loic Le Folgoc, Ian Walker, Ryutaro Tanno, Daniel Rueckert, Ben Glocker, Antonio Criminisi, Aditya Nori
  
  International Conference on Machine Learning (ICML) | June 2018
  
  Publication Publication 프로젝트
- MRI Image-to-Image Translation for Cross-Modality Image Registration and Segmentation
  
  Qianye Yang, Nannan Li, Zixu Zhao, Xingyu Fan, Eric Chang, Yan Xu
  
  January 2018
  
  Publication 프로젝트
- Unsupervised End-to-end Learning for Deformable Medical Image Registration
  
  Siyuan Shan, Wen Yan, Xiaoqing Guo, Eric Chang, Yubo Fan, Yan Xu
  
  January 2018
  
  Publication 프로젝트
- Gland instance segmentation using deep multichannel neural networks
  
  Yan Xu, Yang Li, Yipei Wang, Mingyuan Liu, Yubo Fan, Maode Lai, Eric Chang
  
  IEEE Transactions on Biomedical Engineering | December 2017
  
  출판 프로젝트
- Constrained Deep Weak Supervision for Histopathology Image Segmentation
  
  Zhipeng Jia, Xingyi Huang, Eric Chang, Yan Xu
  
  IEEE Transactions on Medical Imaging | November 2017
  
  출판 프로젝트
- Parallel multiple instance learning for extremely large histopathology image analysis
  
  Yan Xu, Yeshu Li, Zhengyang Shen, Ziwei Wu, Teng Gao, Yubo Fan, Maode Lai, Eric Chang
  
  BMC bioinformatics | August 2017
  
  출판 프로젝트
- Unsupervised domain adaptation in brain lesion segmentation with adversarial networks
  
  Konstantinos Kamnitsas, Christian Baumgartner, Christian Ledig, Virginia F.J. Newcombe, Joanna P. Simpson, Andrew D. Kane, David K. Menon, Aditya Nori, Antonio Criminisi, Daniel Rueckert, Ben Glocker
  
  Information Processing in Medical Imaging (IPMI) | June 2017
  
  Publication 프로젝트
- Spectral Kernels for Probabilistic Analysis and Clustering of Shapes
  
  Loic Le Folgoc, Aditya Nori, Antonio Criminisi
  
  Information Processing in Medical Imaging (IPMI) | June 2017
  
  DOI PDF Publication 프로젝트
- Large scale tissue histopathology image classification, segmentation, and visualization via deep convolutional activation features
  
  Yan Xu, Zhipeng Jia, Liang-Bo Wang, Yuqing Ai, Fang Zhang, Maode Lai, Eric Chang
  
  Bmc Bioinformatics | May 2017
  
  출판 프로젝트
- Image Quality Transfer and Applications in Diffusion MRI
  
  Daniel C. Alexander, Darko Zikic, Aurobrata Gosh, Ryutaro Tanno, Viktor Wottschel, Jiaying Zhang, Enrico Kaden, Tim B. Dirby, Stamatios N. Sotiropoulos, Hui Zhang, Antonio Criminisi
  
  Neuroimage | March 2017
  
  Publication 프로젝트
- Sparse Bayesian registration of medical images for self-tuning of parameters and spatially adaptive parametrization of displacements.
  
  Loic Le Folgoc, Hervé Delingette, Antonio Criminisi, Nicholas Ayache
  
  Medical Image Analysis | January 2017, 제 36 권: pp. 79-97
  
  PDF DOI 프로젝트
- Quantifying Registration Uncertainty with Sparse Bayesian Modeling
  
  Loic Le Folgoc, Hervé Delingette, Antonio Criminisi, Nicholas Ayache
  
  IEEE Transactions on Medical Imaging | December 2016
  
  Publication 프로젝트
- DeepMedic for Brain Tumor Segmentation
  
  Konstantinos Kamnitsas, Enzo Ferrante, Sarah Parisot, Christian Ledig, Aditya Nori, Antonio Criminisi, Daniel Rueckert, Ben Glocker
  
  MICCAI Brain Lesion Workshop | October 2016
  
  DOI PDF Publication 프로젝트
- Lifted Auto-Context Forests for Brain Tumour Segmentation
  
  Loic Le Folgoc, Aditya Nori, Siddharth Ancha, Antonio Criminisi
  
  MICCAI Brain Lesion Workshop | October 2016
  
  DOI PDF Publication 프로젝트
- Generalisability of Image Quality Transfer: Can we approximate in-vivo human brains from dead monkey brains?
  
  Aurobrata Ghosh, V. Wottschel, Enrico Kaden, H. Zhang, Stamatios N. Sotiropoulos, D. Zikic, T. B. Dyrby, Antonio Criminisi, Daniel C. Alexander
  
  April 2016
  
  Publication 프로젝트 프로젝트
- Decision Forests, Convolutional Networks and the Models in-Between
  
  Yani Ioannou, Duncan Robertson, D. Zikic, Peter Kontschieder, Jamie Shotton, Matthew Brown, Antonio Criminisi
  
  March 2016
  
  DOI Publication 프로젝트 프로젝트
- 3D-SIFT-Flow for atlas-based CT liver image segmentation
  
  Yan Xu, Chenchao Xu, Xiao Kuang, Hongkai Wang, Eric Chang, Weimin Huang, Yubo Fan
  
  January 2016
  
  출판 프로젝트
- Assessing Multiple Sclerosis with Kinect: Designing Computer Vision Systems for Real-World Use
  
  Cecily Morrison, Kit Huckvale, Bob Corish, Jonas Dorn, Peter Kontschieder, Kenton O'Hara, ASSESS MS Team, Antonio Criminisi, Abigail Sellen
  
  Human-Computer Interaction | January 2016
  
  Publication Publication 프로젝트 프로젝트
- Gland Instance Segmentation by Deep Multichannel Side Supervision
  
  Eric Chang
  
  January 2016
  
  출판 프로젝트
- Improving Indoor Mobility of the Visually Impaired with Depth-Based Spatial Sound
  
  Simon Blessenohl, Cecily Morrison, Antonio Criminisi, Jamie Shotton
  
  ICCV-ACVR workshop | December 2015
  
  DOI PDF PDF Publication 프로젝트
- Spectral Forests: Learning of Surface Data, Application to Cortical Parcellation
  
  Herve Lombaert, Antonio Criminisi, Nicholas Ayache
  
  Medical Image Computing and Computer Assisted Intervention (MICCAI) | October 2015
  
  DOI PDF Publication 프로젝트 프로젝트
- Prediction of expanded disability status scale subscores of motor dysfunction in multiple sclerosis using depth-sensing computer vision
  
  M. D'Souza, J. Burggraaff, P. Kontschieder, J. Dorn, C.P. Kamm, S. Seinheimer, P. Tewarie, C. Morrison, Abigail Sellen, Antonio Criminisi, F. Dahlke, B Uitdehaag, L. Kappos
  
  Multiple Sclerosis Journal | October 2015, 제 21 권: pp. 409-409
  
  Publication 프로젝트
- Video-based paired-comparison ranking: a validation tool for fine-grained measurements of motor dysfunction in multiple sclerosis
  
  J. Burggraaff, J. Dorn, M. D'Souza, C. P. Kamm, P. Tewarie, P. Kontschieder, Cecily Morrison, A. Criminisi, F. Dahlke, L. Kappos, B. M. J. Uitdehaag, Antonio Criminisi , Abigail Sellen
  
  Multiple Sclerosis Journal | September 2015, 제 21 권: pp. 127-128
  
  Publication 프로젝트
- Finetuned convolutional neural nets for cardiac MRI acquisition plane recognition
  
  J. Margeta, Antonio Criminisi, R. Cabrera Lozoya, D. C. Lee, N. Ayache
  
  Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization | June 2015
  
  Publication Publication 프로젝트
- Deep Convolutional Activation Features for Large Scale Brain Tumor Histopathology Image Classification and Segmentation
  
  Eric Chang
  
  January 2015
  
  출판 프로젝트

- Challenges for Responsible AI Design and Workflow Integration in Healthcare: A Case Study of Automatic Feeding Tube Qualification in Radiology
  
  Anja Thieme, Abhijith Rajamohan, Benjamin Cooper, Heather Groombridge, Robert Simister, Barney Wong, Nicholas Woznitza, Mark Ames Pinnock, Maria Teodora Wetscherek, Cecily Morrison, Hannah Richardson (nee Murfet), Fernando Pérez-García, Stephanie Hyland, Shruthi Bannur, Daniel Coelho de Castro, Kenza Bouzid, Anton Schwaighofer, Mercy Ranjit, Harshita Sharma, Matthew P Lungren, Ozan Oktay, Javier Alvarez-Valle, Aditya Nori, Stephen Harris, Joseph Jacob
  
  ACM ToCHI | August 2025, 제 32 권(2): pp. 1-61
  
  Publication DOI 프로젝트
- PadChest-GR: A Bilingual Chest X-ray Dataset for Grounded Radiology Report Generation
  
  Daniel Coelho de Castro, Aurelia Bustos, Shruthi Bannur, Stephanie Hyland, Kenza Bouzid, Maria Teodora Wetscherek, Maria Dolores Sánchez-Valverde, Lara Jaques-Pérez, Lourdes Pérez-Rodríguez, Kenji Takeda, José María Salinas-Serrano, Javier Alvarez-Valle, Joaquín Galant-Herrero, Antonio Pertusa
  
  NEJM AI | June 2025, (AIdbp2401120)
  
  Publication DOI Preprint 다운로드 프로젝트
- Exploring Scalable Medical Image Encoders Beyond Text Supervision
  
  Fernando Pérez-García, Harshita Sharma, Sam Bond-Taylor, Kenza Bouzid, Valentina Salvatelli, Maximilian Ilse, Shruthi Bannur, Daniel Coelho de Castro, Anton Schwaighofer, Matthew P Lungren, Noel Codella, Stephanie Hyland, Javier Alvarez-Valle, Ozan Oktay
  
  Nature Machine Intelligence | January 2025, 제 7 권: pp. 119-130
  
  Publication DOI 다운로드 프로젝트
- MAIRA-Seg: Enhancing Radiology Report Generation with Segmentation-Aware Multimodal Large Language Models
  
  Harshita Sharma, Valentina Salvatelli, Shaury Srivastav, Kenza Bouzid, Shruthi Bannur, Daniel Coelho de Castro, Maximilian Ilse, Sam Bond-Taylor, Mercy Ranjit, Fabian Falck, Fernando Pérez-García, Anton Schwaighofer, Hannah Richardson (nee Murfet), Maria Teodora Wetscherek, Stephanie Hyland, Javier Alvarez-Valle
  
  Machine Learning for Health Symposium 2024 | December 2024
  
  Publication Preprint 프로젝트
- MAIRA-2: Grounded Radiology Report Generation
  
  Shruthi Bannur, Kenza Bouzid, Daniel Coelho de Castro, Anton Schwaighofer, Sam Bond-Taylor, Maximilian Ilse, Fernando Pérez-García, Valentina Salvatelli, Harshita Sharma, Felix Meissen, Mercy Ranjit, Shaury Srivastav, Julia Gong, Fabian Falck, Ozan Oktay, Anja Thieme, Matthew P Lungren, Maria Teodora Wetscherek, Javier Alvarez-Valle, Stephanie Hyland
  
  MSR-TR-2024-18 | June 2024
  
  글쓴이 Microsoft
  
  Preprint PDF Github 다운로드 프로젝트
- Multimodal Healthcare AI: Identifying and Designing Clinically Relevant Vision-Language Applications for Radiology
  
  Nur Yildirim, Hannah Richardson (nee Murfet), Maria T Wetscherek, Junaid Bajwa, Joseph Jacob, Mark A Pinnock, Stephen Harris, Daniel Coelho de Castro, Shruthi Bannur, Stephanie Hyland, Pratik Ghosh, Mercy Ranjit, Kenza Bouzid, Anton Schwaighofer, Fernando Pérez-García, Harshita Sharma, Ozan Oktay, Matthew P Lungren, Javier Alvarez-Valle, Aditya Nori, Anja Thieme
  
  CHI 2024 | May 2024
  
  Preprint Publication 프로젝트
- Enabling large-scale screening of Barrett’s esophagus using weakly supervised deep learning in histopathology
  
  Kenza Bouzid, Harshita Sharma, Sarah Killcoyne, Daniel Coelho de Castro, Anton Schwaighofer, Maximilian Ilse, Valentina Salvatelli, Ozan Oktay, Sumanth Murthy, Lucas Bordeaux, Luiza Moore, Maria O'Donovan, Anja Thieme, Aditya Nori, Marcel Gehrung, Javier Alvarez-Valle
  
  Nature Communications | March 2024, 제 15 권
  
  DOI Publication PDF
- RadEdit: Stress-Testing Biomedical Vision Models via Diffusion Image Editing
  
  Fernando Pérez-García, Sam Bond-Taylor, Pedro P. Sanchez, Boris van Breugel, Daniel Coelho de Castro, Harshita Sharma, Valentina Salvatelli, Maria T. A. Wetscherek, Hannah Richardson (nee Murfet), Matthew P Lungren, Aditya Nori, Javier Alvarez-Valle, Ozan Oktay, Maximilian Ilse
  
  ECCV 2024 | December 2023
  
  Publication DOI Preprint 프로젝트
- MAIRA-1: A specialised large multimodal model for radiology report generation
  
  Stephanie Hyland, Shruthi Bannur, Kenza Bouzid, Daniel Coelho de Castro, Mercy Ranjit, Anton Schwaighofer, Fernando Pérez-García, Valentina Salvatelli, Shaury Srivastav, Anja Thieme, Noel Codella, Matthew P Lungren, Maria Teodora Wetscherek, Ozan Oktay, Javier Alvarez-Valle
  
  MSR-TR-2023-47 | November 2023
  
  글쓴이 Microsoft
  
  Publication 프로젝트
- Exploring the Boundaries of GPT-4 in Radiology
  
  Qianchu Liu, Stephanie Hyland, Shruthi Bannur, Kenza Bouzid, Daniel Coelho de Castro, Maria Teodora Wetscherek, Robert Tinn, Harshita Sharma, Fernando Pérez-García, Anton Schwaighofer, Pranav Rajpurkar, Sameer Tajdin Khanna, Hoifung Poon, Naoto Usuyama, Anja Thieme, Aditya Nori, Matthew P Lungren, Ozan Oktay, Javier Alvarez-Valle
  
  EMNLP 2023 | October 2023
  
  PDF Publication 프로젝트
- Learning to Exploit Temporal Structure for Biomedical Vision-Language Processing
  
  Shruthi Bannur, Stephanie Hyland, Flora Liu, Fernando Pérez-García, Maximilian Ilse, Daniel Coelho de Castro, Benedikt Boecking, Harshita Sharma, Kenza Bouzid, Anja Thieme, Anton Schwaighofer, Maria Teodora Wetscherek, Matthew Lungren, Aditya Nori, Javier Alvarez-Valle, Ozan Oktay
  
  The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) | June 2023
  
  Preprint 다운로드 프로젝트
- Foundation Models in Healthcare: Opportunities, Risks & Strategies Forward
  
  Anja Thieme, Aditya Nori, Marzyeh Ghassemi, Rishi Bommasani, Tariq Osman Andersen, Ewa Luger
  
  CHI 2023 | April 2023
  
  Publication 프로젝트
- Making the Most of Text Semantics to Improve Biomedical Vision-Language Processing
  
  Benedikt Boecking, Naoto Usuyama, Shruthi Bannur, Daniel Coelho de Castro, Anton Schwaighofer, Stephanie Hyland, Maria Teodora Wetscherek, Tristan Naumann, Aditya Nori, Javier Alvarez-Valle, Hoifung Poon, Ozan Oktay
  
  The European Conference on Computer Vision (ECCV) | October 2022
  
  Preprint 동영상 다운로드 다운로드 프로젝트
- Active label cleaning for improved dataset quality under resource constraints
  
  Melanie Bernhardt, Daniel Coelho de Castro, Ryutaro Tanno, Anton Schwaighofer, Kerem C. Tezcan, Miguel Monteiro, Shruthi Bannur, Matthew P. Lungren, Aditya Nori, Ben Glocker, Javier Alvarez-Valle, Ozan Oktay
  
  Nature Communications | March 2022, 제 13 권(1161): pp. 1-11
  
  Publication Github 프로젝트 프로젝트
- fastMRI+: Clinical Pathology Annotations for Knee and Brain Fully Sampled Multi-Coil MRI Data
  
  Ruiyang Zhao, Burhaneddin Yaman, Yuxin Zhang, Russell Stewart, Austin Dixon, Florian Knoll, Zhengnan Huang, Yvonne W. Lui, Michael Hansen, Matthew P. Lungren
  
  arXiv: Computer Vision and Pattern Recognition | September 2021, 제 arXiv:2109.03812 권
  
  Publication Github 프로젝트
- Hierarchical Analysis of Visual COVID-19 Features from Chest Radiographs
  
  Shruthi Bannur, Ozan Oktay, Melanie Bernhardt, Anton Schwaighofer, Rajesh Jena, Besmira Nushi, Sharan Wadhwani, Aditya Nori, Kal Natarajan, Shazad Ashraf, Javier Alvarez-Valle, Daniel Coelho de Castro
  
  ICML 2021 Workshop on Interpretable Machine Learning in Healthcare | July 2021
  
  PDF Preprint 프로젝트 프로젝트 프로젝트 프로젝트
- Addressing the Exorbitant Cost of Labeling Medical Images with Active Learning
  
  Saba Rahimi, Ozan Oktay, Javier Alvarez-Valle, Sujeeth Bharadwaj
  
  International Conference on Machine Learning in Medical Imaging and Analysis | June 2021
  
  Best Presentation Award
  
  Publication 프로젝트
- Automated Deep Segmentation of Healthy Organs in PSMA PET/CT Images
  
  Ivan Klyuzhin, Guillaume Chausse, Ingrid Bloise, Juan M. Lavista Ferres, Carlos Uribe, Arman Rahmim
  
  Journal of Nuclear Medicine | May 2021
  
  Publication 프로젝트
- Secure Medical Image Analysis with CrypTFlow
  
  Javier Alvarez-Valle, Pratik Bhatu, Nishanth Chandran, Divya Gupta, Aditya Nori, Aseem Rastogi, Mayank Rathee, Rahul Sharma, Shubham Ugare
  
  NeurIPS PPML Workshop | December 2020
  
  Publication 프로젝트 프로젝트
- Evaluation of Deep Learning to Augment Image Guided Radiotherapy for Head and Neck and Prostate Cancers
  
  Ozan Oktay, Jay Nanavati, Anton Schwaighofer, David Carter, Melissa Bristow, Ryutaro Tanno, Gill Barnett, David Noble, Yvonne Rimmer, Rajesh Jena, Ben Glocker, Kenton O'Hara, Christopher Bishop, Javier Alvarez-Valle, Aditya Nori
  
  JAMA | November 2020
  
  Publication 동영상 Github 프로젝트
- Deep Learning with Mixed Supervision for Brain Tumor Segmentation
  
  Pawel Mlynarski, Herve' Delingette, Antonio Criminisi, Nicholas Ayache
  
  December 2018
  
  Publication 프로젝트
- Autofocus Layer for Semantic Segmentation
  
  Yao Qin, Konstantinos Kamnitsas, Siddharth Ancha, Jay Nanavati, Garrison W. Cottrell, Antonio Criminisi, Aditya Nori
  
  International Conference on Medical Image Computing & Computer Assisted Intervention (MICCAI) | September 2018
  
  DOI Publication 프로젝트
- Semi-Supervised Learning via Compact Latent Space Clustering
  
  Konstantinos Kamnitsas, Daniel C. Castro, Loic Le Folgoc, Ian Walker, Ryutaro Tanno, Daniel Rueckert, Ben Glocker, Antonio Criminisi, Aditya Nori
  
  International Conference on Machine Learning (ICML) | June 2018
  
  Publication Publication 프로젝트
- Unsupervised domain adaptation in brain lesion segmentation with adversarial networks
  
  Konstantinos Kamnitsas, Christian Baumgartner, Christian Ledig, Virginia F.J. Newcombe, Joanna P. Simpson, Andrew D. Kane, David K. Menon, Aditya Nori, Antonio Criminisi, Daniel Rueckert, Ben Glocker
  
  Information Processing in Medical Imaging (IPMI) | June 2017
  
  Publication 프로젝트
- Spectral Kernels for Probabilistic Analysis and Clustering of Shapes
  
  Loic Le Folgoc, Aditya Nori, Antonio Criminisi
  
  Information Processing in Medical Imaging (IPMI) | June 2017
  
  DOI PDF Publication 프로젝트
- Lifted Auto-Context Forests for Brain Tumour Segmentation
  
  Loic Le Folgoc, Aditya Nori, Siddharth Ancha, Antonio Criminisi
  
  MICCAI Brain Lesion Workshop | October 2016
  
  DOI PDF Publication 프로젝트
- DeepMedic for Brain Tumor Segmentation
  
  Konstantinos Kamnitsas, Enzo Ferrante, Sarah Parisot, Christian Ledig, Aditya Nori, Antonio Criminisi, Daniel Rueckert, Ben Glocker
  
  MICCAI Brain Lesion Workshop | October 2016
  
  DOI PDF Publication 프로젝트
- Generalisability of Image Quality Transfer: Can we approximate in-vivo human brains from dead monkey brains?
  
  Aurobrata Ghosh, V. Wottschel, Enrico Kaden, H. Zhang, Stamatios N. Sotiropoulos, D. Zikic, T. B. Dyrby, Antonio Criminisi, Daniel C. Alexander
  
  April 2016
  
  Publication 프로젝트 프로젝트
- Decision Forests, Convolutional Networks and the Models in-Between
  
  Yani Ioannou, Duncan Robertson, D. Zikic, Peter Kontschieder, Jamie Shotton, Matthew Brown, Antonio Criminisi
  
  March 2016
  
  DOI Publication 프로젝트 프로젝트
- Improving Indoor Mobility of the Visually Impaired with Depth-Based Spatial Sound
  
  Simon Blessenohl, Cecily Morrison, Antonio Criminisi, Jamie Shotton
  
  ICCV-ACVR workshop | December 2015
  
  DOI PDF PDF Publication 프로젝트
- Spectral Forests: Learning of Surface Data, Application to Cortical Parcellation
  
  Herve Lombaert, Antonio Criminisi, Nicholas Ayache
  
  Medical Image Computing and Computer Assisted Intervention (MICCAI) | October 2015
  
  DOI PDF Publication 프로젝트 프로젝트
- Prediction of expanded disability status scale subscores of motor dysfunction in multiple sclerosis using depth-sensing computer vision
  
  M. D'Souza, J. Burggraaff, P. Kontschieder, J. Dorn, C.P. Kamm, S. Seinheimer, P. Tewarie, C. Morrison, Abigail Sellen, Antonio Criminisi, F. Dahlke, B Uitdehaag, L. Kappos
  
  Multiple Sclerosis Journal | October 2015, 제 21 권: pp. 409-409
  
  Publication 프로젝트
- Video-based paired-comparison ranking: a validation tool for fine-grained measurements of motor dysfunction in multiple sclerosis
  
  J. Burggraaff, J. Dorn, M. D'Souza, C. P. Kamm, P. Tewarie, P. Kontschieder, Cecily Morrison, A. Criminisi, F. Dahlke, L. Kappos, B. M. J. Uitdehaag, Antonio Criminisi , Abigail Sellen
  
  Multiple Sclerosis Journal | September 2015, 제 21 권: pp. 127-128
  
  Publication 프로젝트
- Finetuned convolutional neural nets for cardiac MRI acquisition plane recognition
  
  J. Margeta, Antonio Criminisi, R. Cabrera Lozoya, D. C. Lee, N. Ayache
  
  Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization | June 2015
  
  Publication Publication 프로젝트
- Challenges for Responsible AI Design and Workflow Integration in Healthcare: A Case Study of Automatic Feeding Tube Qualification in Radiology
  
  Anja Thieme, Abhijith Rajamohan, Benjamin Cooper, Heather Groombridge, Robert Simister, Barney Wong, Nicholas Woznitza, Mark Ames Pinnock, Maria Teodora Wetscherek, Cecily Morrison, Hannah Richardson (nee Murfet), Fernando Pérez-García, Stephanie Hyland, Shruthi Bannur, Daniel Coelho de Castro, Kenza Bouzid, Anton Schwaighofer, Mercy Ranjit, Harshita Sharma, Matthew P Lungren, Ozan Oktay, Javier Alvarez-Valle, Aditya Nori, Stephen Harris, Joseph Jacob
  
  ACM ToCHI | August 2025, 제 32 권(2): pp. 1-61
  
  Publication DOI 프로젝트
- PadChest-GR: A Bilingual Chest X-ray Dataset for Grounded Radiology Report Generation
  
  Daniel Coelho de Castro, Aurelia Bustos, Shruthi Bannur, Stephanie Hyland, Kenza Bouzid, Maria Teodora Wetscherek, Maria Dolores Sánchez-Valverde, Lara Jaques-Pérez, Lourdes Pérez-Rodríguez, Kenji Takeda, José María Salinas-Serrano, Javier Alvarez-Valle, Joaquín Galant-Herrero, Antonio Pertusa
  
  NEJM AI | June 2025, (AIdbp2401120)
  
  Publication DOI Preprint 다운로드 프로젝트
- Exploring Scalable Medical Image Encoders Beyond Text Supervision
  
  Fernando Pérez-García, Harshita Sharma, Sam Bond-Taylor, Kenza Bouzid, Valentina Salvatelli, Maximilian Ilse, Shruthi Bannur, Daniel Coelho de Castro, Anton Schwaighofer, Matthew P Lungren, Noel Codella, Stephanie Hyland, Javier Alvarez-Valle, Ozan Oktay
  
  Nature Machine Intelligence | January 2025, 제 7 권: pp. 119-130
  
  Publication DOI 다운로드 프로젝트
- MAIRA-Seg: Enhancing Radiology Report Generation with Segmentation-Aware Multimodal Large Language Models
  
  Harshita Sharma, Valentina Salvatelli, Shaury Srivastav, Kenza Bouzid, Shruthi Bannur, Daniel Coelho de Castro, Maximilian Ilse, Sam Bond-Taylor, Mercy Ranjit, Fabian Falck, Fernando Pérez-García, Anton Schwaighofer, Hannah Richardson (nee Murfet), Maria Teodora Wetscherek, Stephanie Hyland, Javier Alvarez-Valle
  
  Machine Learning for Health Symposium 2024 | December 2024
  
  Publication Preprint 프로젝트
- OSAIRIS: Lessons Learned from the Hospital-Based Implementation and Evaluation of an Open-Source Deep-Learning Model for Radiotherapy Image Segmentation
  
  Alexandra Constantinou, Andrew Hoole, David C. Wong, G. S. Sagoo, Javier Alvarez-Valle, Kenji Takeda, Tom Griffiths, Amy Edwards, Andrew Robinson, Liam Stubbington, Niall Bolger, Yvonne Rimmer, Thiraviyam Elumalai, K. T. Jayaprakash, Richard Benson, Ian Gleeson, Rebecca Sen, Louisa Stockton, Tian Wang, Stephanie Brown, E. Gatfield, C. Sanghera, Alexandros Mourounas, Barry Evans, Anita Anthony, Renteng Hou, Marian Toomey, K. Wildschut, Aviva Grisby, Gill Barnett, Rose McMullen, Raj Jena
  
  Clinical Oncology | October 2024
  
  DOI Github Github Github Github 프로젝트 프로젝트
- MAIRA-2: Grounded Radiology Report Generation
  
  Shruthi Bannur, Kenza Bouzid, Daniel Coelho de Castro, Anton Schwaighofer, Sam Bond-Taylor, Maximilian Ilse, Fernando Pérez-García, Valentina Salvatelli, Harshita Sharma, Felix Meissen, Mercy Ranjit, Shaury Srivastav, Julia Gong, Fabian Falck, Ozan Oktay, Anja Thieme, Matthew P Lungren, Maria Teodora Wetscherek, Javier Alvarez-Valle, Stephanie Hyland
  
  MSR-TR-2024-18 | June 2024
  
  글쓴이 Microsoft
  
  Preprint PDF Github 다운로드 프로젝트
- Enabling large-scale screening of Barrett’s esophagus using weakly supervised deep learning in histopathology
  
  Kenza Bouzid, Harshita Sharma, Sarah Killcoyne, Daniel Coelho de Castro, Anton Schwaighofer, Maximilian Ilse, Valentina Salvatelli, Ozan Oktay, Sumanth Murthy, Lucas Bordeaux, Luiza Moore, Maria O'Donovan, Anja Thieme, Aditya Nori, Marcel Gehrung, Javier Alvarez-Valle
  
  Nature Communications | March 2024, 제 15 권
  
  DOI Publication PDF
- RadEdit: Stress-Testing Biomedical Vision Models via Diffusion Image Editing
  
  Fernando Pérez-García, Sam Bond-Taylor, Pedro P. Sanchez, Boris van Breugel, Daniel Coelho de Castro, Harshita Sharma, Valentina Salvatelli, Maria T. A. Wetscherek, Hannah Richardson (nee Murfet), Matthew P Lungren, Aditya Nori, Javier Alvarez-Valle, Ozan Oktay, Maximilian Ilse
  
  ECCV 2024 | December 2023
  
  Publication DOI Preprint 프로젝트
- Exploring the Boundaries of GPT-4 in Radiology
  
  Qianchu Liu, Stephanie Hyland, Shruthi Bannur, Kenza Bouzid, Daniel Coelho de Castro, Maria Teodora Wetscherek, Robert Tinn, Harshita Sharma, Fernando Pérez-García, Anton Schwaighofer, Pranav Rajpurkar, Sameer Tajdin Khanna, Hoifung Poon, Naoto Usuyama, Anja Thieme, Aditya Nori, Matthew P Lungren, Ozan Oktay, Javier Alvarez-Valle
  
  EMNLP 2023 | October 2023
  
  PDF Publication 프로젝트
- Learning to Exploit Temporal Structure for Biomedical Vision-Language Processing
  
  Shruthi Bannur, Stephanie Hyland, Flora Liu, Fernando Pérez-García, Maximilian Ilse, Daniel Coelho de Castro, Benedikt Boecking, Harshita Sharma, Kenza Bouzid, Anja Thieme, Anton Schwaighofer, Maria Teodora Wetscherek, Matthew Lungren, Aditya Nori, Javier Alvarez-Valle, Ozan Oktay
  
  The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) | June 2023
  
  Preprint 다운로드 프로젝트
- Deep Learning Models for COVID-19 Chest X-ray Classification: Preventing Shortcut Learning Using Feature Disentanglement
  
  Caleb Robinson, Anusua Trivedi, Marian Blazes, Anthony Ortiz, Jocelyn Desbiens, Sunil Gupta, Rahul Dodhia, Pavan K Bhatraju, W Conrad Liles, Aaron Lee, Jayashree Kalpathy-Cramer, Juan M. Lavista Ferres
  
  PLOS | October 2022
  
  Publication PDF 프로젝트 프로젝트
- Making the Most of Text Semantics to Improve Biomedical Vision-Language Processing
  
  Benedikt Boecking, Naoto Usuyama, Shruthi Bannur, Daniel Coelho de Castro, Anton Schwaighofer, Stephanie Hyland, Maria Teodora Wetscherek, Tristan Naumann, Aditya Nori, Javier Alvarez-Valle, Hoifung Poon, Ozan Oktay
  
  The European Conference on Computer Vision (ECCV) | October 2022
  
  Preprint 동영상 다운로드 다운로드 프로젝트
- Active label cleaning for improved dataset quality under resource constraints
  
  Melanie Bernhardt, Daniel Coelho de Castro, Ryutaro Tanno, Anton Schwaighofer, Kerem C. Tezcan, Miguel Monteiro, Shruthi Bannur, Matthew P. Lungren, Aditya Nori, Ben Glocker, Javier Alvarez-Valle, Ozan Oktay
  
  Nature Communications | March 2022, 제 13 권(1161): pp. 1-11
  
  Publication Github 프로젝트 프로젝트
- Effective Deep Learning Approaches for Predicting COVID-19 Outcomes from Chest Computed Tomography Volumes
  
  Anusua Trivedi, Anthony Ortiz, Caleb Robinson, Jocelyn Desbiens, Marian Blazes, Sunil Gupta, Rahul Dodhia, Pavan Bhatraju, W Conrad Liles, Aaron Lee, Juan M. Lavista Ferres
  
  Nature Scientific Reports | February 2022
  
  Publication PDF 프로젝트 프로젝트
- Machine Learning for Auto-Segmentation in Radiotherapy Planning
  
  K Harrison, H Pullen, C Welsh, Ozan Oktay, Javier Alvarez-Valle, R Jena
  
  The Royal College of Radiologists – Clinical Oncology | January 2022, 제 34 권(2): pp. 74-88
  
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- Sociodemographic and clinical features predictive of SARS-CoV-2 test positivity across healthcare visit-types
  
  Jimmy Phuong, Stephanie Hyland, Stephen J. Mooney, Dustin R. Long, Kenji Takeda, Monica S. Vavilala, Kenton O’Hara
  
  PLOS ONE | October 2021
  
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- fastMRI+: Clinical Pathology Annotations for Knee and Brain Fully Sampled Multi-Coil MRI Data
  
  Ruiyang Zhao, Burhaneddin Yaman, Yuxin Zhang, Russell Stewart, Austin Dixon, Florian Knoll, Zhengnan Huang, Yvonne W. Lui, Michael Hansen, Matthew P. Lungren
  
  arXiv: Computer Vision and Pattern Recognition | September 2021, 제 arXiv:2109.03812 권
  
  Publication Github 프로젝트
- Hierarchical Analysis of Visual COVID-19 Features from Chest Radiographs
  
  Shruthi Bannur, Ozan Oktay, Melanie Bernhardt, Anton Schwaighofer, Rajesh Jena, Besmira Nushi, Sharan Wadhwani, Aditya Nori, Kal Natarajan, Shazad Ashraf, Javier Alvarez-Valle, Daniel Coelho de Castro
  
  ICML 2021 Workshop on Interpretable Machine Learning in Healthcare | July 2021
  
  PDF Preprint 프로젝트 프로젝트 프로젝트 프로젝트
- Addressing the Exorbitant Cost of Labeling Medical Images with Active Learning
  
  Saba Rahimi, Ozan Oktay, Javier Alvarez-Valle, Sujeeth Bharadwaj
  
  International Conference on Machine Learning in Medical Imaging and Analysis | June 2021
  
  Best Presentation Award
  
  Publication 프로젝트
- Automated Deep Segmentation of Healthy Organs in PSMA PET/CT Images
  
  Ivan Klyuzhin, Guillaume Chausse, Ingrid Bloise, Juan M. Lavista Ferres, Carlos Uribe, Arman Rahmim
  
  Journal of Nuclear Medicine | May 2021
  
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- Secure Medical Image Analysis with CrypTFlow
  
  Javier Alvarez-Valle, Pratik Bhatu, Nishanth Chandran, Divya Gupta, Aditya Nori, Aseem Rastogi, Mayank Rathee, Rahul Sharma, Shubham Ugare
  
  NeurIPS PPML Workshop | December 2020
  
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- Evaluation of Deep Learning to Augment Image Guided Radiotherapy for Head and Neck and Prostate Cancers
  
  Ozan Oktay, Jay Nanavati, Anton Schwaighofer, David Carter, Melissa Bristow, Ryutaro Tanno, Gill Barnett, David Noble, Yvonne Rimmer, Rajesh Jena, Ben Glocker, Kenton O'Hara, Christopher Bishop, Javier Alvarez-Valle, Aditya Nori
  
  JAMA | November 2020
  
  Publication 동영상 Github 프로젝트
- Binary Mode Multinomial Deep Learning Model for more efficient Automated Diabetic Retinopathy Detection
  
  Anusua Trivedi, J. Desbiens, Ron Gross, S. Gupta, Juan M. Lavista Ferres, Rahul Dodhia
  
  NeurIPS 2019 | December 2019
  
  PDF 프로젝트
- Unsupervised Learning for Cell-level Visual Representation in Histopathology Images with Generative Adversarial Networks
  
  Bo Hu, Ye Tang, Eric Chang, Yubo Fan, Maode Lai, Yan Xu
  
  IEEE Journal of Biomedical and Health Informatics | May 2019
  
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- Predicting breast tumor proliferation from whole-slide images: The TUPAC16 challenge
  
  Mitko Veta, Yujing J. Heng, Nikolas Stathonikos, Babak Ehteshami Bejnordi, Francisco Beca, Thomas Wollmann, Karl Rohr, Manan A. Shah, Dayong Wang, Mikael Rousson, Martin Hedlund, David Tellez, Francesco Ciompi, Erwan Zerhouni, David Lanyi, Matheus Viana, Vassili Kovalev, Vitali Liauchuk, Hady Ahmady Phoulady, Talha Qaiser, Simon Graham, Nasir Rajpoot, Erik Sjöblom, Jesper Molin, Kyunghyun Paeng, Sangheum Hwang, Sunggyun Park, Zhipeng Jia, Eric Chang, Yan Xu, Andrew H. Beck, Paul J. van Diest, Josien P. W. Pluim
  
  Medical Image Analysis | March 2019
  
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- Unsupervised 3D End-to-End Medical Image Registration with Volume Tweening Network
  
  Tingfung Lau, Ji Luo, Shengyu Zhao, Eric Chang, Yan Xu
  
  February 2019
  
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- 3D Convolutional Neural Networks for Tumor Segmentation using Long-range 2D Context
  
  Pawel Mlynarski, Herve' Delingette, Antonio Criminisi, Nicholas Ayache
  
  Computerized Medical Imaging and Graphics | February 2019
  
  Publication 프로젝트
- Deep Learning with Mixed Supervision for Brain Tumor Segmentation
  
  Pawel Mlynarski, Herve' Delingette, Antonio Criminisi, Nicholas Ayache
  
  December 2018
  
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- Autosegmentation of prostate anatomy for radiation treatment planning using deep decision forests of radiomic features
  
  M. W. Macomber, M. H. Phillips, Ivan Tarapov, R. Jena, Aditya Nori, David Carter, Loic Le Folgoc, Antonio Criminisi, M. J. Nyflot
  
  Physics in Medicine and Biology | November 2018, 제 63 권(23): pp. 235002-235002
  
  DOI PDF Publication
- Autosegmentation of prostate anatomy for radiation treatment planning using deep decision forests of radiomic features
  
  Meghan W Macomber, Mark Phillips, Ivan Tarapov, Rajesh Jena, Aditya Nori, David Carter, Loic Le Folgoc, Antonio Criminisi, Matthew J Nyflot
  
  Physics in Medicine & Biology | November 2018, 제 63 권(23)
  
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- MRI Image-to-Image Translation for Cross-Modality Image Registration and Segmentation
  
  Qianye Yang, Nannan Li, Zixu Zhao, Xingyu Fan, Eric Chang, Yan Xu
  
  January 2018
  
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- Unsupervised End-to-end Learning for Deformable Medical Image Registration
  
  Siyuan Shan, Wen Yan, Xiaoqing Guo, Eric Chang, Yubo Fan, Yan Xu
  
  January 2018
  
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- Gland instance segmentation using deep multichannel neural networks
  
  Yan Xu, Yang Li, Yipei Wang, Mingyuan Liu, Yubo Fan, Maode Lai, Eric Chang
  
  IEEE Transactions on Biomedical Engineering | December 2017
  
  출판 프로젝트
- Constrained Deep Weak Supervision for Histopathology Image Segmentation
  
  Zhipeng Jia, Xingyi Huang, Eric Chang, Yan Xu
  
  IEEE Transactions on Medical Imaging | November 2017
  
  출판 프로젝트
- Parallel multiple instance learning for extremely large histopathology image analysis
  
  Yan Xu, Yeshu Li, Zhengyang Shen, Ziwei Wu, Teng Gao, Yubo Fan, Maode Lai, Eric Chang
  
  BMC bioinformatics | August 2017
  
  출판 프로젝트
- Unsupervised domain adaptation in brain lesion segmentation with adversarial networks
  
  Konstantinos Kamnitsas, Christian Baumgartner, Christian Ledig, Virginia F.J. Newcombe, Joanna P. Simpson, Andrew D. Kane, David K. Menon, Aditya Nori, Antonio Criminisi, Daniel Rueckert, Ben Glocker
  
  Information Processing in Medical Imaging (IPMI) | June 2017
  
  Publication 프로젝트
- Spectral Kernels for Probabilistic Analysis and Clustering of Shapes
  
  Loic Le Folgoc, Aditya Nori, Antonio Criminisi
  
  Information Processing in Medical Imaging (IPMI) | June 2017
  
  DOI PDF Publication 프로젝트
- Large scale tissue histopathology image classification, segmentation, and visualization via deep convolutional activation features
  
  Yan Xu, Zhipeng Jia, Liang-Bo Wang, Yuqing Ai, Fang Zhang, Maode Lai, Eric Chang
  
  Bmc Bioinformatics | May 2017
  
  출판 프로젝트
- Image Quality Transfer and Applications in Diffusion MRI
  
  Daniel C. Alexander, Darko Zikic, Aurobrata Gosh, Ryutaro Tanno, Viktor Wottschel, Jiaying Zhang, Enrico Kaden, Tim B. Dirby, Stamatios N. Sotiropoulos, Hui Zhang, Antonio Criminisi
  
  Neuroimage | March 2017
  
  Publication 프로젝트
- Sparse Bayesian registration of medical images for self-tuning of parameters and spatially adaptive parametrization of displacements.
  
  Loic Le Folgoc, Hervé Delingette, Antonio Criminisi, Nicholas Ayache
  
  Medical Image Analysis | January 2017, 제 36 권: pp. 79-97
  
  PDF DOI 프로젝트
- Quantifying Registration Uncertainty with Sparse Bayesian Modeling
  
  Loic Le Folgoc, Hervé Delingette, Antonio Criminisi, Nicholas Ayache
  
  IEEE Transactions on Medical Imaging | December 2016
  
  Publication 프로젝트
- Lifted Auto-Context Forests for Brain Tumour Segmentation
  
  Loic Le Folgoc, Aditya Nori, Siddharth Ancha, Antonio Criminisi
  
  MICCAI Brain Lesion Workshop | October 2016
  
  DOI PDF Publication 프로젝트
- DeepMedic for Brain Tumor Segmentation
  
  Konstantinos Kamnitsas, Enzo Ferrante, Sarah Parisot, Christian Ledig, Aditya Nori, Antonio Criminisi, Daniel Rueckert, Ben Glocker
  
  MICCAI Brain Lesion Workshop | October 2016
  
  DOI PDF Publication 프로젝트
- 3D-SIFT-Flow for atlas-based CT liver image segmentation
  
  Yan Xu, Chenchao Xu, Xiao Kuang, Hongkai Wang, Eric Chang, Weimin Huang, Yubo Fan
  
  January 2016
  
  출판 프로젝트
- Gland Instance Segmentation by Deep Multichannel Side Supervision
  
  Eric Chang
  
  January 2016
  
  출판 프로젝트
- Deep Convolutional Activation Features for Large Scale Brain Tumor Histopathology Image Classification and Segmentation
  
  Eric Chang
  
  January 2015
  
  출판 프로젝트
- Exploring Scalable Medical Image Encoders Beyond Text Supervision
  
  Fernando Pérez-García, Harshita Sharma, Sam Bond-Taylor, Kenza Bouzid, Valentina Salvatelli, Maximilian Ilse, Shruthi Bannur, Daniel Coelho de Castro, Anton Schwaighofer, Matthew P Lungren, Noel Codella, Stephanie Hyland, Javier Alvarez-Valle, Ozan Oktay
  
  Nature Machine Intelligence | January 2025, 제 7 권: pp. 119-130
  
  Publication DOI 다운로드 프로젝트
- RadEdit: Stress-Testing Biomedical Vision Models via Diffusion Image Editing
  
  Fernando Pérez-García, Sam Bond-Taylor, Pedro P. Sanchez, Boris van Breugel, Daniel Coelho de Castro, Harshita Sharma, Valentina Salvatelli, Maria T. A. Wetscherek, Hannah Richardson (nee Murfet), Matthew P Lungren, Aditya Nori, Javier Alvarez-Valle, Ozan Oktay, Maximilian Ilse
  
  ECCV 2024 | December 2023
  
  Publication DOI Preprint 프로젝트
- MAIRA-1: A specialised large multimodal model for radiology report generation
  
  Stephanie Hyland, Shruthi Bannur, Kenza Bouzid, Daniel Coelho de Castro, Mercy Ranjit, Anton Schwaighofer, Fernando Pérez-García, Valentina Salvatelli, Shaury Srivastav, Anja Thieme, Noel Codella, Matthew P Lungren, Maria Teodora Wetscherek, Ozan Oktay, Javier Alvarez-Valle
  
  MSR-TR-2023-47 | November 2023
  
  글쓴이 Microsoft
  
  Publication 프로젝트
- Learning to Exploit Temporal Structure for Biomedical Vision-Language Processing
  
  Shruthi Bannur, Stephanie Hyland, Flora Liu, Fernando Pérez-García, Maximilian Ilse, Daniel Coelho de Castro, Benedikt Boecking, Harshita Sharma, Kenza Bouzid, Anja Thieme, Anton Schwaighofer, Maria Teodora Wetscherek, Matthew Lungren, Aditya Nori, Javier Alvarez-Valle, Ozan Oktay
  
  The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) | June 2023
  
  Preprint 다운로드 프로젝트
- Making the Most of Text Semantics to Improve Biomedical Vision-Language Processing
  
  Benedikt Boecking, Naoto Usuyama, Shruthi Bannur, Daniel Coelho de Castro, Anton Schwaighofer, Stephanie Hyland, Maria Teodora Wetscherek, Tristan Naumann, Aditya Nori, Javier Alvarez-Valle, Hoifung Poon, Ozan Oktay
  
  The European Conference on Computer Vision (ECCV) | October 2022
  
  Preprint 동영상 다운로드 다운로드 프로젝트
- Active label cleaning for improved dataset quality under resource constraints
  
  Melanie Bernhardt, Daniel Coelho de Castro, Ryutaro Tanno, Anton Schwaighofer, Kerem C. Tezcan, Miguel Monteiro, Shruthi Bannur, Matthew P. Lungren, Aditya Nori, Ben Glocker, Javier Alvarez-Valle, Ozan Oktay
  
  Nature Communications | March 2022, 제 13 권(1161): pp. 1-11
  
  Publication Github 프로젝트 프로젝트
- Hierarchical Analysis of Visual COVID-19 Features from Chest Radiographs
  
  Shruthi Bannur, Ozan Oktay, Melanie Bernhardt, Anton Schwaighofer, Rajesh Jena, Besmira Nushi, Sharan Wadhwani, Aditya Nori, Kal Natarajan, Shazad Ashraf, Javier Alvarez-Valle, Daniel Coelho de Castro
  
  ICML 2021 Workshop on Interpretable Machine Learning in Healthcare | July 2021
  
  PDF Preprint 프로젝트 프로젝트 프로젝트 프로젝트
- Addressing the Exorbitant Cost of Labeling Medical Images with Active Learning
  
  Saba Rahimi, Ozan Oktay, Javier Alvarez-Valle, Sujeeth Bharadwaj
  
  International Conference on Machine Learning in Medical Imaging and Analysis | June 2021
  
  Best Presentation Award
  
  Publication 프로젝트
- Deep Learning with Mixed Supervision for Brain Tumor Segmentation
  
  Pawel Mlynarski, Herve' Delingette, Antonio Criminisi, Nicholas Ayache
  
  December 2018
  
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- Autosegmentation of prostate anatomy for radiation treatment planning using deep decision forests of radiomic features
  
  M. W. Macomber, M. H. Phillips, Ivan Tarapov, R. Jena, Aditya Nori, David Carter, Loic Le Folgoc, Antonio Criminisi, M. J. Nyflot
  
  Physics in Medicine and Biology | November 2018, 제 63 권(23): pp. 235002-235002
  
  DOI PDF Publication
- Image Quality Transfer and Applications in Diffusion MRI
  
  Daniel C. Alexander, Darko Zikic, Aurobrata Gosh, Ryutaro Tanno, Viktor Wottschel, Jiaying Zhang, Enrico Kaden, Tim B. Dirby, Stamatios N. Sotiropoulos, Hui Zhang, Antonio Criminisi
  
  Neuroimage | March 2017
  
  Publication 프로젝트
- Sparse Bayesian registration of medical images for self-tuning of parameters and spatially adaptive parametrization of displacements.
  
  Loic Le Folgoc, Hervé Delingette, Antonio Criminisi, Nicholas Ayache
  
  Medical Image Analysis | January 2017, 제 36 권: pp. 79-97
  
  PDF DOI 프로젝트
- Quantifying Registration Uncertainty with Sparse Bayesian Modeling
  
  Loic Le Folgoc, Hervé Delingette, Antonio Criminisi, Nicholas Ayache
  
  IEEE Transactions on Medical Imaging | December 2016
  
  Publication 프로젝트
- Generalisability of Image Quality Transfer: Can we approximate in-vivo human brains from dead monkey brains?
  
  Aurobrata Ghosh, V. Wottschel, Enrico Kaden, H. Zhang, Stamatios N. Sotiropoulos, D. Zikic, T. B. Dyrby, Antonio Criminisi, Daniel C. Alexander
  
  April 2016
  
  Publication 프로젝트 프로젝트
- Decision Forests, Convolutional Networks and the Models in-Between
  
  Yani Ioannou, Duncan Robertson, D. Zikic, Peter Kontschieder, Jamie Shotton, Matthew Brown, Antonio Criminisi
  
  March 2016
  
  DOI Publication 프로젝트 프로젝트
- Assessing Multiple Sclerosis with Kinect: Designing Computer Vision Systems for Real-World Use
  
  Cecily Morrison, Kit Huckvale, Bob Corish, Jonas Dorn, Peter Kontschieder, Kenton O'Hara, ASSESS MS Team, Antonio Criminisi, Abigail Sellen
  
  Human-Computer Interaction | January 2016
  
  Publication Publication 프로젝트 프로젝트
- Improving Indoor Mobility of the Visually Impaired with Depth-Based Spatial Sound
  
  Simon Blessenohl, Cecily Morrison, Antonio Criminisi, Jamie Shotton
  
  ICCV-ACVR workshop | December 2015
  
  DOI PDF PDF Publication 프로젝트
- Spectral Forests: Learning of Surface Data, Application to Cortical Parcellation
  
  Herve Lombaert, Antonio Criminisi, Nicholas Ayache
  
  Medical Image Computing and Computer Assisted Intervention (MICCAI) | October 2015
  
  DOI PDF Publication 프로젝트 프로젝트
- Prediction of expanded disability status scale subscores of motor dysfunction in multiple sclerosis using depth-sensing computer vision
  
  M. D'Souza, J. Burggraaff, P. Kontschieder, J. Dorn, C.P. Kamm, S. Seinheimer, P. Tewarie, C. Morrison, Abigail Sellen, Antonio Criminisi, F. Dahlke, B Uitdehaag, L. Kappos
  
  Multiple Sclerosis Journal | October 2015, 제 21 권: pp. 409-409
  
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- Video-based paired-comparison ranking: a validation tool for fine-grained measurements of motor dysfunction in multiple sclerosis
  
  J. Burggraaff, J. Dorn, M. D'Souza, C. P. Kamm, P. Tewarie, P. Kontschieder, Cecily Morrison, A. Criminisi, F. Dahlke, L. Kappos, B. M. J. Uitdehaag, Antonio Criminisi , Abigail Sellen
  
  Multiple Sclerosis Journal | September 2015, 제 21 권: pp. 127-128
  
  Publication 프로젝트
- Finetuned convolutional neural nets for cardiac MRI acquisition plane recognition
  
  J. Margeta, Antonio Criminisi, R. Cabrera Lozoya, D. C. Lee, N. Ayache
  
  Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization | June 2015
  
  Publication Publication 프로젝트
- Challenges for Responsible AI Design and Workflow Integration in Healthcare: A Case Study of Automatic Feeding Tube Qualification in Radiology
  
  Anja Thieme, Abhijith Rajamohan, Benjamin Cooper, Heather Groombridge, Robert Simister, Barney Wong, Nicholas Woznitza, Mark Ames Pinnock, Maria Teodora Wetscherek, Cecily Morrison, Hannah Richardson (nee Murfet), Fernando Pérez-García, Stephanie Hyland, Shruthi Bannur, Daniel Coelho de Castro, Kenza Bouzid, Anton Schwaighofer, Mercy Ranjit, Harshita Sharma, Matthew P Lungren, Ozan Oktay, Javier Alvarez-Valle, Aditya Nori, Stephen Harris, Joseph Jacob
  
  ACM ToCHI | August 2025, 제 32 권(2): pp. 1-61
  
  Publication DOI 프로젝트
- Multimodal Healthcare AI: Identifying and Designing Clinically Relevant Vision-Language Applications for Radiology
  
  Nur Yildirim, Hannah Richardson (nee Murfet), Maria T Wetscherek, Junaid Bajwa, Joseph Jacob, Mark A Pinnock, Stephen Harris, Daniel Coelho de Castro, Shruthi Bannur, Stephanie Hyland, Pratik Ghosh, Mercy Ranjit, Kenza Bouzid, Anton Schwaighofer, Fernando Pérez-García, Harshita Sharma, Ozan Oktay, Matthew P Lungren, Javier Alvarez-Valle, Aditya Nori, Anja Thieme
  
  CHI 2024 | May 2024
  
  Preprint Publication 프로젝트
- Using Thematic Analysis in Healthcare HCI at CHI: A Scoping Review
  
  Robert Bowman, Camille Nadal, Kellie Morrissey, Anja Thieme, Gavin Doherty
  
  CHI 2023 | April 2023
  
  Publication
- Foundation Models in Healthcare: Opportunities, Risks & Strategies Forward
  
  Anja Thieme, Aditya Nori, Marzyeh Ghassemi, Rishi Bommasani, Tariq Osman Andersen, Ewa Luger
  
  CHI 2023 | April 2023
  
  Publication 프로젝트
- Assessing Multiple Sclerosis with Kinect: Designing Computer Vision Systems for Real-World Use
  
  Cecily Morrison, Kit Huckvale, Bob Corish, Jonas Dorn, Peter Kontschieder, Kenton O'Hara, ASSESS MS Team, Antonio Criminisi, Abigail Sellen
  
  Human-Computer Interaction | January 2016
  
  Publication Publication 프로젝트 프로젝트
- Prediction of expanded disability status scale subscores of motor dysfunction in multiple sclerosis using depth-sensing computer vision
  
  M. D'Souza, J. Burggraaff, P. Kontschieder, J. Dorn, C.P. Kamm, S. Seinheimer, P. Tewarie, C. Morrison, Abigail Sellen, Antonio Criminisi, F. Dahlke, B Uitdehaag, L. Kappos
  
  Multiple Sclerosis Journal | October 2015, 제 21 권: pp. 409-409
  
  Publication 프로젝트
- Video-based paired-comparison ranking: a validation tool for fine-grained measurements of motor dysfunction in multiple sclerosis
  
  J. Burggraaff, J. Dorn, M. D'Souza, C. P. Kamm, P. Tewarie, P. Kontschieder, Cecily Morrison, A. Criminisi, F. Dahlke, L. Kappos, B. M. J. Uitdehaag, Antonio Criminisi , Abigail Sellen
  
  Multiple Sclerosis Journal | September 2015, 제 21 권: pp. 127-128
  
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- Secure Medical Image Analysis with CrypTFlow
  
  Javier Alvarez-Valle, Pratik Bhatu, Nishanth Chandran, Divya Gupta, Aditya Nori, Aseem Rastogi, Mayank Rathee, Rahul Sharma, Shubham Ugare
  
  NeurIPS PPML Workshop | December 2020
  
  Publication 프로젝트 프로젝트
- Secure Medical Image Analysis with CrypTFlow
  
  Javier Alvarez-Valle, Pratik Bhatu, Nishanth Chandran, Divya Gupta, Aditya Nori, Aseem Rastogi, Mayank Rathee, Rahul Sharma, Shubham Ugare
  
  NeurIPS PPML Workshop | December 2020
  
  Publication 프로젝트 프로젝트

- Challenges for Responsible AI Design and Workflow Integration in Healthcare: A Case Study of Automatic Feeding Tube Qualification in Radiology
  
  Anja Thieme, Abhijith Rajamohan, Benjamin Cooper, Heather Groombridge, Robert Simister, Barney Wong, Nicholas Woznitza, Mark Ames Pinnock, Maria Teodora Wetscherek, Cecily Morrison, Hannah Richardson (nee Murfet), Fernando Pérez-García, Stephanie Hyland, Shruthi Bannur, Daniel Coelho de Castro, Kenza Bouzid, Anton Schwaighofer, Mercy Ranjit, Harshita Sharma, Matthew P Lungren, Ozan Oktay, Javier Alvarez-Valle, Aditya Nori, Stephen Harris, Joseph Jacob
  
  ACM ToCHI | August 2025, 제 32 권(2): pp. 1-61
  
  Publication DOI 프로젝트
- PadChest-GR: A Bilingual Chest X-ray Dataset for Grounded Radiology Report Generation
  
  Daniel Coelho de Castro, Aurelia Bustos, Shruthi Bannur, Stephanie Hyland, Kenza Bouzid, Maria Teodora Wetscherek, Maria Dolores Sánchez-Valverde, Lara Jaques-Pérez, Lourdes Pérez-Rodríguez, Kenji Takeda, José María Salinas-Serrano, Javier Alvarez-Valle, Joaquín Galant-Herrero, Antonio Pertusa
  
  NEJM AI | June 2025, (AIdbp2401120)
  
  Publication DOI Preprint 다운로드 프로젝트
- Exploring Scalable Medical Image Encoders Beyond Text Supervision
  
  Fernando Pérez-García, Harshita Sharma, Sam Bond-Taylor, Kenza Bouzid, Valentina Salvatelli, Maximilian Ilse, Shruthi Bannur, Daniel Coelho de Castro, Anton Schwaighofer, Matthew P Lungren, Noel Codella, Stephanie Hyland, Javier Alvarez-Valle, Ozan Oktay
  
  Nature Machine Intelligence | January 2025, 제 7 권: pp. 119-130
  
  Publication DOI 다운로드 프로젝트
- OSAIRIS: Lessons Learned from the Hospital-Based Implementation and Evaluation of an Open-Source Deep-Learning Model for Radiotherapy Image Segmentation
  
  Alexandra Constantinou, Andrew Hoole, David C. Wong, G. S. Sagoo, Javier Alvarez-Valle, Kenji Takeda, Tom Griffiths, Amy Edwards, Andrew Robinson, Liam Stubbington, Niall Bolger, Yvonne Rimmer, Thiraviyam Elumalai, K. T. Jayaprakash, Richard Benson, Ian Gleeson, Rebecca Sen, Louisa Stockton, Tian Wang, Stephanie Brown, E. Gatfield, C. Sanghera, Alexandros Mourounas, Barry Evans, Anita Anthony, Renteng Hou, Marian Toomey, K. Wildschut, Aviva Grisby, Gill Barnett, Rose McMullen, Raj Jena
  
  Clinical Oncology | October 2024
  
  DOI Github Github Github Github 프로젝트 프로젝트
- Enabling large-scale screening of Barrett’s esophagus using weakly supervised deep learning in histopathology
  
  Kenza Bouzid, Harshita Sharma, Sarah Killcoyne, Daniel Coelho de Castro, Anton Schwaighofer, Maximilian Ilse, Valentina Salvatelli, Ozan Oktay, Sumanth Murthy, Lucas Bordeaux, Luiza Moore, Maria O'Donovan, Anja Thieme, Aditya Nori, Marcel Gehrung, Javier Alvarez-Valle
  
  Nature Communications | March 2024, 제 15 권
  
  DOI Publication PDF
- Deep Learning Models for COVID-19 Chest X-ray Classification: Preventing Shortcut Learning Using Feature Disentanglement
  
  Caleb Robinson, Anusua Trivedi, Marian Blazes, Anthony Ortiz, Jocelyn Desbiens, Sunil Gupta, Rahul Dodhia, Pavan K Bhatraju, W Conrad Liles, Aaron Lee, Jayashree Kalpathy-Cramer, Juan M. Lavista Ferres
  
  PLOS | October 2022
  
  Publication PDF 프로젝트 프로젝트
- Active label cleaning for improved dataset quality under resource constraints
  
  Melanie Bernhardt, Daniel Coelho de Castro, Ryutaro Tanno, Anton Schwaighofer, Kerem C. Tezcan, Miguel Monteiro, Shruthi Bannur, Matthew P. Lungren, Aditya Nori, Ben Glocker, Javier Alvarez-Valle, Ozan Oktay
  
  Nature Communications | March 2022, 제 13 권(1161): pp. 1-11
  
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  Anusua Trivedi, Anthony Ortiz, Caleb Robinson, Jocelyn Desbiens, Marian Blazes, Sunil Gupta, Rahul Dodhia, Pavan Bhatraju, W Conrad Liles, Aaron Lee, Juan M. Lavista Ferres
  
  Nature Scientific Reports | February 2022
  
  Publication PDF 프로젝트 프로젝트
- Machine Learning for Auto-Segmentation in Radiotherapy Planning
  
  K Harrison, H Pullen, C Welsh, Ozan Oktay, Javier Alvarez-Valle, R Jena
  
  The Royal College of Radiologists – Clinical Oncology | January 2022, 제 34 권(2): pp. 74-88
  
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  Jimmy Phuong, Stephanie Hyland, Stephen J. Mooney, Dustin R. Long, Kenji Takeda, Monica S. Vavilala, Kenton O’Hara
  
  PLOS ONE | October 2021
  
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  Ruiyang Zhao, Burhaneddin Yaman, Yuxin Zhang, Russell Stewart, Austin Dixon, Florian Knoll, Zhengnan Huang, Yvonne W. Lui, Michael Hansen, Matthew P. Lungren
  
  arXiv: Computer Vision and Pattern Recognition | September 2021, 제 arXiv:2109.03812 권
  
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- Automated Deep Segmentation of Healthy Organs in PSMA PET/CT Images
  
  Ivan Klyuzhin, Guillaume Chausse, Ingrid Bloise, Juan M. Lavista Ferres, Carlos Uribe, Arman Rahmim
  
  Journal of Nuclear Medicine | May 2021
  
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- Evaluation of Deep Learning to Augment Image Guided Radiotherapy for Head and Neck and Prostate Cancers
  
  Ozan Oktay, Jay Nanavati, Anton Schwaighofer, David Carter, Melissa Bristow, Ryutaro Tanno, Gill Barnett, David Noble, Yvonne Rimmer, Rajesh Jena, Ben Glocker, Kenton O'Hara, Christopher Bishop, Javier Alvarez-Valle, Aditya Nori
  
  JAMA | November 2020
  
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- Unsupervised Learning for Cell-level Visual Representation in Histopathology Images with Generative Adversarial Networks
  
  Bo Hu, Ye Tang, Eric Chang, Yubo Fan, Maode Lai, Yan Xu
  
  IEEE Journal of Biomedical and Health Informatics | May 2019
  
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- Predicting breast tumor proliferation from whole-slide images: The TUPAC16 challenge
  
  Mitko Veta, Yujing J. Heng, Nikolas Stathonikos, Babak Ehteshami Bejnordi, Francisco Beca, Thomas Wollmann, Karl Rohr, Manan A. Shah, Dayong Wang, Mikael Rousson, Martin Hedlund, David Tellez, Francesco Ciompi, Erwan Zerhouni, David Lanyi, Matheus Viana, Vassili Kovalev, Vitali Liauchuk, Hady Ahmady Phoulady, Talha Qaiser, Simon Graham, Nasir Rajpoot, Erik Sjöblom, Jesper Molin, Kyunghyun Paeng, Sangheum Hwang, Sunggyun Park, Zhipeng Jia, Eric Chang, Yan Xu, Andrew H. Beck, Paul J. van Diest, Josien P. W. Pluim
  
  Medical Image Analysis | March 2019
  
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- 3D Convolutional Neural Networks for Tumor Segmentation using Long-range 2D Context
  
  Pawel Mlynarski, Herve' Delingette, Antonio Criminisi, Nicholas Ayache
  
  Computerized Medical Imaging and Graphics | February 2019
  
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- Autosegmentation of prostate anatomy for radiation treatment planning using deep decision forests of radiomic features
  
  M. W. Macomber, M. H. Phillips, Ivan Tarapov, R. Jena, Aditya Nori, David Carter, Loic Le Folgoc, Antonio Criminisi, M. J. Nyflot
  
  Physics in Medicine and Biology | November 2018, 제 63 권(23): pp. 235002-235002
  
  DOI PDF Publication
- Autosegmentation of prostate anatomy for radiation treatment planning using deep decision forests of radiomic features
  
  Meghan W Macomber, Mark Phillips, Ivan Tarapov, Rajesh Jena, Aditya Nori, David Carter, Loic Le Folgoc, Antonio Criminisi, Matthew J Nyflot
  
  Physics in Medicine & Biology | November 2018, 제 63 권(23)
  
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- Gland instance segmentation using deep multichannel neural networks
  
  Yan Xu, Yang Li, Yipei Wang, Mingyuan Liu, Yubo Fan, Maode Lai, Eric Chang
  
  IEEE Transactions on Biomedical Engineering | December 2017
  
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- Constrained Deep Weak Supervision for Histopathology Image Segmentation
  
  Zhipeng Jia, Xingyi Huang, Eric Chang, Yan Xu
  
  IEEE Transactions on Medical Imaging | November 2017
  
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- Parallel multiple instance learning for extremely large histopathology image analysis
  
  Yan Xu, Yeshu Li, Zhengyang Shen, Ziwei Wu, Teng Gao, Yubo Fan, Maode Lai, Eric Chang
  
  BMC bioinformatics | August 2017
  
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  Yan Xu, Zhipeng Jia, Liang-Bo Wang, Yuqing Ai, Fang Zhang, Maode Lai, Eric Chang
  
  Bmc Bioinformatics | May 2017
  
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- Image Quality Transfer and Applications in Diffusion MRI
  
  Daniel C. Alexander, Darko Zikic, Aurobrata Gosh, Ryutaro Tanno, Viktor Wottschel, Jiaying Zhang, Enrico Kaden, Tim B. Dirby, Stamatios N. Sotiropoulos, Hui Zhang, Antonio Criminisi
  
  Neuroimage | March 2017
  
  Publication 프로젝트
- Sparse Bayesian registration of medical images for self-tuning of parameters and spatially adaptive parametrization of displacements.
  
  Loic Le Folgoc, Hervé Delingette, Antonio Criminisi, Nicholas Ayache
  
  Medical Image Analysis | January 2017, 제 36 권: pp. 79-97
  
  PDF DOI 프로젝트
- Quantifying Registration Uncertainty with Sparse Bayesian Modeling
  
  Loic Le Folgoc, Hervé Delingette, Antonio Criminisi, Nicholas Ayache
  
  IEEE Transactions on Medical Imaging | December 2016
  
  Publication 프로젝트
- Assessing Multiple Sclerosis with Kinect: Designing Computer Vision Systems for Real-World Use
  
  Cecily Morrison, Kit Huckvale, Bob Corish, Jonas Dorn, Peter Kontschieder, Kenton O'Hara, ASSESS MS Team, Antonio Criminisi, Abigail Sellen
  
  Human-Computer Interaction | January 2016
  
  Publication Publication 프로젝트 프로젝트
- Prediction of expanded disability status scale subscores of motor dysfunction in multiple sclerosis using depth-sensing computer vision
  
  M. D'Souza, J. Burggraaff, P. Kontschieder, J. Dorn, C.P. Kamm, S. Seinheimer, P. Tewarie, C. Morrison, Abigail Sellen, Antonio Criminisi, F. Dahlke, B Uitdehaag, L. Kappos
  
  Multiple Sclerosis Journal | October 2015, 제 21 권: pp. 409-409
  
  Publication 프로젝트
- Video-based paired-comparison ranking: a validation tool for fine-grained measurements of motor dysfunction in multiple sclerosis
  
  J. Burggraaff, J. Dorn, M. D'Souza, C. P. Kamm, P. Tewarie, P. Kontschieder, Cecily Morrison, A. Criminisi, F. Dahlke, L. Kappos, B. M. J. Uitdehaag, Antonio Criminisi , Abigail Sellen
  
  Multiple Sclerosis Journal | September 2015, 제 21 권: pp. 127-128
  
  Publication 프로젝트
- Finetuned convolutional neural nets for cardiac MRI acquisition plane recognition
  
  J. Margeta, Antonio Criminisi, R. Cabrera Lozoya, D. C. Lee, N. Ayache
  
  Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization | June 2015
  
  Publication Publication 프로젝트
- MAIRA-Seg: Enhancing Radiology Report Generation with Segmentation-Aware Multimodal Large Language Models
  
  Harshita Sharma, Valentina Salvatelli, Shaury Srivastav, Kenza Bouzid, Shruthi Bannur, Daniel Coelho de Castro, Maximilian Ilse, Sam Bond-Taylor, Mercy Ranjit, Fabian Falck, Fernando Pérez-García, Anton Schwaighofer, Hannah Richardson (nee Murfet), Maria Teodora Wetscherek, Stephanie Hyland, Javier Alvarez-Valle
  
  Machine Learning for Health Symposium 2024 | December 2024
  
  Publication Preprint 프로젝트
- Multimodal Healthcare AI: Identifying and Designing Clinically Relevant Vision-Language Applications for Radiology
  
  Nur Yildirim, Hannah Richardson (nee Murfet), Maria T Wetscherek, Junaid Bajwa, Joseph Jacob, Mark A Pinnock, Stephen Harris, Daniel Coelho de Castro, Shruthi Bannur, Stephanie Hyland, Pratik Ghosh, Mercy Ranjit, Kenza Bouzid, Anton Schwaighofer, Fernando Pérez-García, Harshita Sharma, Ozan Oktay, Matthew P Lungren, Javier Alvarez-Valle, Aditya Nori, Anja Thieme
  
  CHI 2024 | May 2024
  
  Preprint Publication 프로젝트
- RadEdit: Stress-Testing Biomedical Vision Models via Diffusion Image Editing
  
  Fernando Pérez-García, Sam Bond-Taylor, Pedro P. Sanchez, Boris van Breugel, Daniel Coelho de Castro, Harshita Sharma, Valentina Salvatelli, Maria T. A. Wetscherek, Hannah Richardson (nee Murfet), Matthew P Lungren, Aditya Nori, Javier Alvarez-Valle, Ozan Oktay, Maximilian Ilse
  
  ECCV 2024 | December 2023
  
  Publication DOI Preprint 프로젝트
- Exploring the Boundaries of GPT-4 in Radiology
  
  Qianchu Liu, Stephanie Hyland, Shruthi Bannur, Kenza Bouzid, Daniel Coelho de Castro, Maria Teodora Wetscherek, Robert Tinn, Harshita Sharma, Fernando Pérez-García, Anton Schwaighofer, Pranav Rajpurkar, Sameer Tajdin Khanna, Hoifung Poon, Naoto Usuyama, Anja Thieme, Aditya Nori, Matthew P Lungren, Ozan Oktay, Javier Alvarez-Valle
  
  EMNLP 2023 | October 2023
  
  PDF Publication 프로젝트
- Learning to Exploit Temporal Structure for Biomedical Vision-Language Processing
  
  Shruthi Bannur, Stephanie Hyland, Flora Liu, Fernando Pérez-García, Maximilian Ilse, Daniel Coelho de Castro, Benedikt Boecking, Harshita Sharma, Kenza Bouzid, Anja Thieme, Anton Schwaighofer, Maria Teodora Wetscherek, Matthew Lungren, Aditya Nori, Javier Alvarez-Valle, Ozan Oktay
  
  The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) | June 2023
  
  Preprint 다운로드 프로젝트
- Using Thematic Analysis in Healthcare HCI at CHI: A Scoping Review
  
  Robert Bowman, Camille Nadal, Kellie Morrissey, Anja Thieme, Gavin Doherty
  
  CHI 2023 | April 2023
  
  Publication
- Foundation Models in Healthcare: Opportunities, Risks & Strategies Forward
  
  Anja Thieme, Aditya Nori, Marzyeh Ghassemi, Rishi Bommasani, Tariq Osman Andersen, Ewa Luger
  
  CHI 2023 | April 2023
  
  Publication 프로젝트
- Making the Most of Text Semantics to Improve Biomedical Vision-Language Processing
  
  Benedikt Boecking, Naoto Usuyama, Shruthi Bannur, Daniel Coelho de Castro, Anton Schwaighofer, Stephanie Hyland, Maria Teodora Wetscherek, Tristan Naumann, Aditya Nori, Javier Alvarez-Valle, Hoifung Poon, Ozan Oktay
  
  The European Conference on Computer Vision (ECCV) | October 2022
  
  Preprint 동영상 다운로드 다운로드 프로젝트
- Hierarchical Analysis of Visual COVID-19 Features from Chest Radiographs
  
  Shruthi Bannur, Ozan Oktay, Melanie Bernhardt, Anton Schwaighofer, Rajesh Jena, Besmira Nushi, Sharan Wadhwani, Aditya Nori, Kal Natarajan, Shazad Ashraf, Javier Alvarez-Valle, Daniel Coelho de Castro
  
  ICML 2021 Workshop on Interpretable Machine Learning in Healthcare | July 2021
  
  PDF Preprint 프로젝트 프로젝트 프로젝트 프로젝트
- Addressing the Exorbitant Cost of Labeling Medical Images with Active Learning
  
  Saba Rahimi, Ozan Oktay, Javier Alvarez-Valle, Sujeeth Bharadwaj
  
  International Conference on Machine Learning in Medical Imaging and Analysis | June 2021
  
  Best Presentation Award
  
  Publication 프로젝트
- Secure Medical Image Analysis with CrypTFlow
  
  Javier Alvarez-Valle, Pratik Bhatu, Nishanth Chandran, Divya Gupta, Aditya Nori, Aseem Rastogi, Mayank Rathee, Rahul Sharma, Shubham Ugare
  
  NeurIPS PPML Workshop | December 2020
  
  Publication 프로젝트 프로젝트
- Binary Mode Multinomial Deep Learning Model for more efficient Automated Diabetic Retinopathy Detection
  
  Anusua Trivedi, J. Desbiens, Ron Gross, S. Gupta, Juan M. Lavista Ferres, Rahul Dodhia
  
  NeurIPS 2019 | December 2019
  
  PDF 프로젝트
- Autofocus Layer for Semantic Segmentation
  
  Yao Qin, Konstantinos Kamnitsas, Siddharth Ancha, Jay Nanavati, Garrison W. Cottrell, Antonio Criminisi, Aditya Nori
  
  International Conference on Medical Image Computing & Computer Assisted Intervention (MICCAI) | September 2018
  
  DOI Publication 프로젝트
- Semi-Supervised Learning via Compact Latent Space Clustering
  
  Konstantinos Kamnitsas, Daniel C. Castro, Loic Le Folgoc, Ian Walker, Ryutaro Tanno, Daniel Rueckert, Ben Glocker, Antonio Criminisi, Aditya Nori
  
  International Conference on Machine Learning (ICML) | June 2018
  
  Publication Publication 프로젝트
- Unsupervised domain adaptation in brain lesion segmentation with adversarial networks
  
  Konstantinos Kamnitsas, Christian Baumgartner, Christian Ledig, Virginia F.J. Newcombe, Joanna P. Simpson, Andrew D. Kane, David K. Menon, Aditya Nori, Antonio Criminisi, Daniel Rueckert, Ben Glocker
  
  Information Processing in Medical Imaging (IPMI) | June 2017
  
  Publication 프로젝트
- Spectral Kernels for Probabilistic Analysis and Clustering of Shapes
  
  Loic Le Folgoc, Aditya Nori, Antonio Criminisi
  
  Information Processing in Medical Imaging (IPMI) | June 2017
  
  DOI PDF Publication 프로젝트
- Lifted Auto-Context Forests for Brain Tumour Segmentation
  
  Loic Le Folgoc, Aditya Nori, Siddharth Ancha, Antonio Criminisi
  
  MICCAI Brain Lesion Workshop | October 2016
  
  DOI PDF Publication 프로젝트
- DeepMedic for Brain Tumor Segmentation
  
  Konstantinos Kamnitsas, Enzo Ferrante, Sarah Parisot, Christian Ledig, Aditya Nori, Antonio Criminisi, Daniel Rueckert, Ben Glocker
  
  MICCAI Brain Lesion Workshop | October 2016
  
  DOI PDF Publication 프로젝트
- 3D-SIFT-Flow for atlas-based CT liver image segmentation
  
  Yan Xu, Chenchao Xu, Xiao Kuang, Hongkai Wang, Eric Chang, Weimin Huang, Yubo Fan
  
  January 2016
  
  출판 프로젝트
- Gland Instance Segmentation by Deep Multichannel Side Supervision
  
  Eric Chang
  
  January 2016
  
  출판 프로젝트
- Improving Indoor Mobility of the Visually Impaired with Depth-Based Spatial Sound
  
  Simon Blessenohl, Cecily Morrison, Antonio Criminisi, Jamie Shotton
  
  ICCV-ACVR workshop | December 2015
  
  DOI PDF PDF Publication 프로젝트
- Spectral Forests: Learning of Surface Data, Application to Cortical Parcellation
  
  Herve Lombaert, Antonio Criminisi, Nicholas Ayache
  
  Medical Image Computing and Computer Assisted Intervention (MICCAI) | October 2015
  
  DOI PDF Publication 프로젝트 프로젝트
- Deep Convolutional Activation Features for Large Scale Brain Tumor Histopathology Image Classification and Segmentation
  
  Eric Chang
  
  January 2015
  
  출판 프로젝트
- MAIRA-2: Grounded Radiology Report Generation
  
  Shruthi Bannur, Kenza Bouzid, Daniel Coelho de Castro, Anton Schwaighofer, Sam Bond-Taylor, Maximilian Ilse, Fernando Pérez-García, Valentina Salvatelli, Harshita Sharma, Felix Meissen, Mercy Ranjit, Shaury Srivastav, Julia Gong, Fabian Falck, Ozan Oktay, Anja Thieme, Matthew P Lungren, Maria Teodora Wetscherek, Javier Alvarez-Valle, Stephanie Hyland
  
  MSR-TR-2024-18 | June 2024
  
  글쓴이 Microsoft
  
  Preprint PDF Github 다운로드 프로젝트
- MAIRA-1: A specialised large multimodal model for radiology report generation
  
  Stephanie Hyland, Shruthi Bannur, Kenza Bouzid, Daniel Coelho de Castro, Mercy Ranjit, Anton Schwaighofer, Fernando Pérez-García, Valentina Salvatelli, Shaury Srivastav, Anja Thieme, Noel Codella, Matthew P Lungren, Maria Teodora Wetscherek, Ozan Oktay, Javier Alvarez-Valle
  
  MSR-TR-2023-47 | November 2023
  
  글쓴이 Microsoft
  
  Publication 프로젝트
- Unsupervised 3D End-to-End Medical Image Registration with Volume Tweening Network
  
  Tingfung Lau, Ji Luo, Shengyu Zhao, Eric Chang, Yan Xu
  
  February 2019
  
  Publication 프로젝트
- MRI Image-to-Image Translation for Cross-Modality Image Registration and Segmentation
  
  Qianye Yang, Nannan Li, Zixu Zhao, Xingyu Fan, Eric Chang, Yan Xu
  
  January 2018
  
  Publication 프로젝트
- Unsupervised End-to-end Learning for Deformable Medical Image Registration
  
  Siyuan Shan, Wen Yan, Xiaoqing Guo, Eric Chang, Yubo Fan, Yan Xu
  
  January 2018
  
  Publication 프로젝트
- Deep Learning with Mixed Supervision for Brain Tumor Segmentation
  
  Pawel Mlynarski, Herve' Delingette, Antonio Criminisi, Nicholas Ayache
  
  December 2018
  
  Publication 프로젝트
- Generalisability of Image Quality Transfer: Can we approximate in-vivo human brains from dead monkey brains?
  
  Aurobrata Ghosh, V. Wottschel, Enrico Kaden, H. Zhang, Stamatios N. Sotiropoulos, D. Zikic, T. B. Dyrby, Antonio Criminisi, Daniel C. Alexander
  
  April 2016
  
  Publication 프로젝트 프로젝트
- Decision Forests, Convolutional Networks and the Models in-Between
  
  Yani Ioannou, Duncan Robertson, D. Zikic, Peter Kontschieder, Jamie Shotton, Matthew Brown, Antonio Criminisi
  
  March 2016
  
  DOI Publication 프로젝트 프로젝트