Stephanie Hyland

Principal Researcher

Papiers de Collaboration

Afficher par:

- 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, Vol 32(2): pp. 1-61
  
  Publication DOI Projet
- 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 Télécharger Projet
- 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, Vol 7: pp. 119-130
  
  Publication DOI Télécharger Projet
- 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 Projet
- MedImageInsight: An Open-Source Embedding Model for General Domain Medical Imaging
  
  Noel Codella, Yu Gu, Shrey Jain, Ho Hin Lee, Asma Ben Abacha, Alberto Santamaria-Pang, Will Guyman, Natieek Sangani, Sheng Zhang, Hoifung Poon, Stephanie Hyland, Shruthi Bannur, Javier Alvarez-Valle, Xue Li, John Garett, Alan McMillan, Gaurav Rajguru, Madhu Maddi, Nilesh Vijayrania, Reehan Bhimai, Nick Mecklenburg, Rupal Jain, Daniel Holstein, Naveen Gaur, Vijay Aski, Jenq-Neng Hwang, Thomas Lin, Ivan Tarapov, Matthew P Lungren, Mu Wei
  
  October 2024
  
  Publication
- 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
  
  Publié par Microsoft
  
  Preprint PDF Github Télécharger Projet
- 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 Projet
- 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
  
  Publié par Microsoft
  
  Publication Projet
- 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 Projet
- 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 Télécharger Projet
- Framing Machine Learning Opportunities for Hypotension Prediction in Perioperative Care: A Socio-technical Perspective
  
  Pratik Ghosh, Karen L. Posner, Stephanie L. Hyland, Stephanie Hyland, Wil van Cleve, Melissa Bristow, Dustin R. Long, Konstantina Palla, B. Nair, Christine Fong, Ronald Pauldine, M. Vavilala, Kenton O'hara
  
  ACM Transactions on Computer-Human Interaction | April 2023, Vol 30: pp. 1-33
  
  DOI Publication
- Compositional Zero-Shot Domain Transfer with Text-to-Text Models
  
  Fangyu Liu, Qianchu Liu, Shruthi Bannur, Fernando Pérez-García, Naoto Usuyama, Sheng Zhang, Tristan Naumann, Aditya Nori, Hoifung Poon, Javier Alvarez-Valle, Ozan Oktay, Stephanie Hyland
  
  TACL 2023 | March 2023
  
  Publication Projet
- 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 Vidéo Télécharger Télécharger Projet
- Predicting the impact of treatments over time with uncertainty aware neural differential equations
  
  Edward De Brouwer, Javier González, Stephanie Hyland
  
  International Conference on Artificial Intelligence and Statistics (AISTATS 2022) | February 2022
  
  Publication
- Intraoperative prediction of post-anaesthesia care unit hypotension
  
  Konstantina Palla, Stephanie Hyland, Karen Posner, Pratik Ghosh, Bala Nair, Melissa Bristow, Yoana Paleva, Ben Williams, Christine Fong, Wil Van Cleve, Dustin R Long, Ronald Pauldine, Kenton O'Hara, Kenji Takeda, Monica S Vavilala, Kenton O'Hara
  
  British Journal of Anaesthesia | December 2021
  
  Online ahead of print.
  
  Publication DOI Projet
- 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 Projet
- An Empirical Study on the Intrinsic Privacy of SGD
  
  Stephanie Hyland, Shruti Tople
  
  Theory and Practice of Differential Privacy (CCS Worshop) | November 2020
  
  Publication
- Predicting Length of Stay in the Intensive Care Unit with Temporal Pointwise Convolutional Networks
  
  Emma Rocheteau, Pietro Liò, Stephanie Hyland
  
  HSYS2020 | September 2020
  
  Publication Projet

- 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, Vol 32(2): pp. 1-61
  
  Publication DOI Projet
- 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 Télécharger Projet
- 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, Vol 7: pp. 119-130
  
  Publication DOI Télécharger Projet
- 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 Projet
- MedImageInsight: An Open-Source Embedding Model for General Domain Medical Imaging
  
  Noel Codella, Yu Gu, Shrey Jain, Ho Hin Lee, Asma Ben Abacha, Alberto Santamaria-Pang, Will Guyman, Natieek Sangani, Sheng Zhang, Hoifung Poon, Stephanie Hyland, Shruthi Bannur, Javier Alvarez-Valle, Xue Li, John Garett, Alan McMillan, Gaurav Rajguru, Madhu Maddi, Nilesh Vijayrania, Reehan Bhimai, Nick Mecklenburg, Rupal Jain, Daniel Holstein, Naveen Gaur, Vijay Aski, Jenq-Neng Hwang, Thomas Lin, Ivan Tarapov, Matthew P Lungren, Mu Wei
  
  October 2024
  
  Publication
- 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
  
  Publié par Microsoft
  
  Preprint PDF Github Télécharger Projet
- 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 Projet
- 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
  
  Publié par Microsoft
  
  Publication Projet
- 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 Projet
- 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 Télécharger Projet
- Framing Machine Learning Opportunities for Hypotension Prediction in Perioperative Care: A Socio-technical Perspective
  
  Pratik Ghosh, Karen L. Posner, Stephanie L. Hyland, Stephanie Hyland, Wil van Cleve, Melissa Bristow, Dustin R. Long, Konstantina Palla, B. Nair, Christine Fong, Ronald Pauldine, M. Vavilala, Kenton O'hara
  
  ACM Transactions on Computer-Human Interaction | April 2023, Vol 30: pp. 1-33
  
  DOI Publication
- Compositional Zero-Shot Domain Transfer with Text-to-Text Models
  
  Fangyu Liu, Qianchu Liu, Shruthi Bannur, Fernando Pérez-García, Naoto Usuyama, Sheng Zhang, Tristan Naumann, Aditya Nori, Hoifung Poon, Javier Alvarez-Valle, Ozan Oktay, Stephanie Hyland
  
  TACL 2023 | March 2023
  
  Publication Projet
- 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 Vidéo Télécharger Télécharger Projet
- Predicting the impact of treatments over time with uncertainty aware neural differential equations
  
  Edward De Brouwer, Javier González, Stephanie Hyland
  
  International Conference on Artificial Intelligence and Statistics (AISTATS 2022) | February 2022
  
  Publication
- Intraoperative prediction of post-anaesthesia care unit hypotension
  
  Konstantina Palla, Stephanie Hyland, Karen Posner, Pratik Ghosh, Bala Nair, Melissa Bristow, Yoana Paleva, Ben Williams, Christine Fong, Wil Van Cleve, Dustin R Long, Ronald Pauldine, Kenton O'Hara, Kenji Takeda, Monica S Vavilala, Kenton O'Hara
  
  British Journal of Anaesthesia | December 2021
  
  Online ahead of print.
  
  Publication DOI Projet
- 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, Vol 32(2): pp. 1-61
  
  Publication DOI Projet
- 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 Télécharger Projet
- 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, Vol 7: pp. 119-130
  
  Publication DOI Télécharger Projet
- 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 Projet
- MedImageInsight: An Open-Source Embedding Model for General Domain Medical Imaging
  
  Noel Codella, Yu Gu, Shrey Jain, Ho Hin Lee, Asma Ben Abacha, Alberto Santamaria-Pang, Will Guyman, Natieek Sangani, Sheng Zhang, Hoifung Poon, Stephanie Hyland, Shruthi Bannur, Javier Alvarez-Valle, Xue Li, John Garett, Alan McMillan, Gaurav Rajguru, Madhu Maddi, Nilesh Vijayrania, Reehan Bhimai, Nick Mecklenburg, Rupal Jain, Daniel Holstein, Naveen Gaur, Vijay Aski, Jenq-Neng Hwang, Thomas Lin, Ivan Tarapov, Matthew P Lungren, Mu Wei
  
  October 2024
  
  Publication
- 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
  
  Publié par Microsoft
  
  Preprint PDF Github Télécharger Projet
- 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 Projet
- 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 Télécharger Projet
- Compositional Zero-Shot Domain Transfer with Text-to-Text Models
  
  Fangyu Liu, Qianchu Liu, Shruthi Bannur, Fernando Pérez-García, Naoto Usuyama, Sheng Zhang, Tristan Naumann, Aditya Nori, Hoifung Poon, Javier Alvarez-Valle, Ozan Oktay, Stephanie Hyland
  
  TACL 2023 | March 2023
  
  Publication Projet
- 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 Vidéo Télécharger Télécharger Projet
- Intraoperative prediction of post-anaesthesia care unit hypotension
  
  Konstantina Palla, Stephanie Hyland, Karen Posner, Pratik Ghosh, Bala Nair, Melissa Bristow, Yoana Paleva, Ben Williams, Christine Fong, Wil Van Cleve, Dustin R Long, Ronald Pauldine, Kenton O'Hara, Kenji Takeda, Monica S Vavilala, Kenton O'Hara
  
  British Journal of Anaesthesia | December 2021
  
  Online ahead of print.
  
  Publication DOI Projet
- 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 Projet
- Predicting Length of Stay in the Intensive Care Unit with Temporal Pointwise Convolutional Networks
  
  Emma Rocheteau, Pietro Liò, Stephanie Hyland
  
  HSYS2020 | September 2020
  
  Publication Projet
- 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, Vol 7: pp. 119-130
  
  Publication DOI Télécharger Projet
- MedImageInsight: An Open-Source Embedding Model for General Domain Medical Imaging
  
  Noel Codella, Yu Gu, Shrey Jain, Ho Hin Lee, Asma Ben Abacha, Alberto Santamaria-Pang, Will Guyman, Natieek Sangani, Sheng Zhang, Hoifung Poon, Stephanie Hyland, Shruthi Bannur, Javier Alvarez-Valle, Xue Li, John Garett, Alan McMillan, Gaurav Rajguru, Madhu Maddi, Nilesh Vijayrania, Reehan Bhimai, Nick Mecklenburg, Rupal Jain, Daniel Holstein, Naveen Gaur, Vijay Aski, Jenq-Neng Hwang, Thomas Lin, Ivan Tarapov, Matthew P Lungren, Mu Wei
  
  October 2024
  
  Publication
- 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
  
  Publié par Microsoft
  
  Publication Projet
- 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 Télécharger Projet
- 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 Vidéo Télécharger Télécharger Projet
- 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, Vol 32(2): pp. 1-61
  
  Publication DOI Projet
- 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 Projet
- Framing Machine Learning Opportunities for Hypotension Prediction in Perioperative Care: A Socio-technical Perspective
  
  Pratik Ghosh, Karen L. Posner, Stephanie L. Hyland, Stephanie Hyland, Wil van Cleve, Melissa Bristow, Dustin R. Long, Konstantina Palla, B. Nair, Christine Fong, Ronald Pauldine, M. Vavilala, Kenton O'hara
  
  ACM Transactions on Computer-Human Interaction | April 2023, Vol 30: pp. 1-33
  
  DOI Publication
- An Empirical Study on the Intrinsic Privacy of SGD
  
  Stephanie Hyland, Shruti Tople
  
  Theory and Practice of Differential Privacy (CCS Worshop) | November 2020
  
  Publication

- 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, Vol 32(2): pp. 1-61
  
  Publication DOI Projet
- 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 Télécharger Projet
- 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, Vol 7: pp. 119-130
  
  Publication DOI Télécharger Projet
- Framing Machine Learning Opportunities for Hypotension Prediction in Perioperative Care: A Socio-technical Perspective
  
  Pratik Ghosh, Karen L. Posner, Stephanie L. Hyland, Stephanie Hyland, Wil van Cleve, Melissa Bristow, Dustin R. Long, Konstantina Palla, B. Nair, Christine Fong, Ronald Pauldine, M. Vavilala, Kenton O'hara
  
  ACM Transactions on Computer-Human Interaction | April 2023, Vol 30: pp. 1-33
  
  DOI Publication
- Intraoperative prediction of post-anaesthesia care unit hypotension
  
  Konstantina Palla, Stephanie Hyland, Karen Posner, Pratik Ghosh, Bala Nair, Melissa Bristow, Yoana Paleva, Ben Williams, Christine Fong, Wil Van Cleve, Dustin R Long, Ronald Pauldine, Kenton O'Hara, Kenji Takeda, Monica S Vavilala, Kenton O'Hara
  
  British Journal of Anaesthesia | December 2021
  
  Online ahead of print.
  
  Publication DOI Projet
- 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 Projet
- 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 Projet
- 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 Projet
- 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 Projet
- 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 Télécharger Projet
- Compositional Zero-Shot Domain Transfer with Text-to-Text Models
  
  Fangyu Liu, Qianchu Liu, Shruthi Bannur, Fernando Pérez-García, Naoto Usuyama, Sheng Zhang, Tristan Naumann, Aditya Nori, Hoifung Poon, Javier Alvarez-Valle, Ozan Oktay, Stephanie Hyland
  
  TACL 2023 | March 2023
  
  Publication Projet
- 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 Vidéo Télécharger Télécharger Projet
- Predicting the impact of treatments over time with uncertainty aware neural differential equations
  
  Edward De Brouwer, Javier González, Stephanie Hyland
  
  International Conference on Artificial Intelligence and Statistics (AISTATS 2022) | February 2022
  
  Publication
- An Empirical Study on the Intrinsic Privacy of SGD
  
  Stephanie Hyland, Shruti Tople
  
  Theory and Practice of Differential Privacy (CCS Worshop) | November 2020
  
  Publication
- Predicting Length of Stay in the Intensive Care Unit with Temporal Pointwise Convolutional Networks
  
  Emma Rocheteau, Pietro Liò, Stephanie Hyland
  
  HSYS2020 | September 2020
  
  Publication Projet
- MedImageInsight: An Open-Source Embedding Model for General Domain Medical Imaging
  
  Noel Codella, Yu Gu, Shrey Jain, Ho Hin Lee, Asma Ben Abacha, Alberto Santamaria-Pang, Will Guyman, Natieek Sangani, Sheng Zhang, Hoifung Poon, Stephanie Hyland, Shruthi Bannur, Javier Alvarez-Valle, Xue Li, John Garett, Alan McMillan, Gaurav Rajguru, Madhu Maddi, Nilesh Vijayrania, Reehan Bhimai, Nick Mecklenburg, Rupal Jain, Daniel Holstein, Naveen Gaur, Vijay Aski, Jenq-Neng Hwang, Thomas Lin, Ivan Tarapov, Matthew P Lungren, Mu Wei
  
  October 2024
  
  Publication
- 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
  
  Publié par Microsoft
  
  Preprint PDF Github Télécharger Projet
- 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
  
  Publié par Microsoft
  
  Publication Projet