Valentina Salvatelli

Senior Applied Researcher

Papiers de Collaboration

Afficher par:

- 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
- 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
- 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, Vol 15
  
  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 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 Limits of Synthetic Creation of Solar EUV Images via Image-to-image Translation
  
  Valentina Salvatelli, Luiz F. G. dos Santos, Souvik Bose, Brad Neuberg, Mark C. M. Cheung, Miho Janvier, Meng Jin, Yarin Gal, Atilim Güneş Baydin
  
  ApJ | October 2022
  
  Publication
- RaVÆn: unsupervised change detection of extreme events using ML on-board satellites
  
  Vít Růžička, Anna Vaughan, Daniele De Martini, James Fulton, Valentina Salvatelli, Chris Bridges, Gonzalo Mateo-Garcia, Valentina Zantedeschi
  
  Nature Scientific Reports | October 2022
  
  Publication
- Multichannel autocalibration for the Atmospheric Imaging Assembly using machine learning
  
  Luiz F. G. Dos Santos, Souvik Bose, Valentina Salvatelli, Brad Neuberg, Mark C. M. Cheung , Miho Janvier, Meng Jin, Yarin Gal, Paul Boerner, Atılım Güneş Baydin
  
  A&A | February 2021
  
  Publication
- EXPRESS: Utilising artificial intelligence to determine patients at risk of a rare disease: idiopathic pulmonary arterial hypertension
  
  Valentina Salvatelli
  
  Pulmonary Circulation | November 2019
  
  Publication

- 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
- 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
- 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, Vol 15
  
  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 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 Limits of Synthetic Creation of Solar EUV Images via Image-to-image Translation
  
  Valentina Salvatelli, Luiz F. G. dos Santos, Souvik Bose, Brad Neuberg, Mark C. M. Cheung, Miho Janvier, Meng Jin, Yarin Gal, Atilim Güneş Baydin
  
  ApJ | October 2022
  
  Publication
- RaVÆn: unsupervised change detection of extreme events using ML on-board satellites
  
  Vít Růžička, Anna Vaughan, Daniele De Martini, James Fulton, Valentina Salvatelli, Chris Bridges, Gonzalo Mateo-Garcia, Valentina Zantedeschi
  
  Nature Scientific Reports | October 2022
  
  Publication
- Multichannel autocalibration for the Atmospheric Imaging Assembly using machine learning
  
  Luiz F. G. Dos Santos, Souvik Bose, Valentina Salvatelli, Brad Neuberg, Mark C. M. Cheung , Miho Janvier, Meng Jin, Yarin Gal, Paul Boerner, Atılım Güneş Baydin
  
  A&A | February 2021
  
  Publication
- EXPRESS: Utilising artificial intelligence to determine patients at risk of a rare disease: idiopathic pulmonary arterial hypertension
  
  Valentina Salvatelli
  
  Pulmonary Circulation | November 2019
  
  Publication
- 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
- 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
- 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, Vol 15
  
  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 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
- 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 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 Limits of Synthetic Creation of Solar EUV Images via Image-to-image Translation
  
  Valentina Salvatelli, Luiz F. G. dos Santos, Souvik Bose, Brad Neuberg, Mark C. M. Cheung, Miho Janvier, Meng Jin, Yarin Gal, Atilim Güneş Baydin
  
  ApJ | October 2022
  
  Publication
- RaVÆn: unsupervised change detection of extreme events using ML on-board satellites
  
  Vít Růžička, Anna Vaughan, Daniele De Martini, James Fulton, Valentina Salvatelli, Chris Bridges, Gonzalo Mateo-Garcia, Valentina Zantedeschi
  
  Nature Scientific Reports | October 2022
  
  Publication
- Multichannel autocalibration for the Atmospheric Imaging Assembly using machine learning
  
  Luiz F. G. Dos Santos, Souvik Bose, Valentina Salvatelli, Brad Neuberg, Mark C. M. Cheung , Miho Janvier, Meng Jin, Yarin Gal, Paul Boerner, Atılım Güneş Baydin
  
  A&A | February 2021
  
  Publication

- 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
- 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 Projet
- 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
- 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
- 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, Vol 15
  
  DOI Publication PDF
- Exploring the Limits of Synthetic Creation of Solar EUV Images via Image-to-image Translation
  
  Valentina Salvatelli, Luiz F. G. dos Santos, Souvik Bose, Brad Neuberg, Mark C. M. Cheung, Miho Janvier, Meng Jin, Yarin Gal, Atilim Güneş Baydin
  
  ApJ | October 2022
  
  Publication
- RaVÆn: unsupervised change detection of extreme events using ML on-board satellites
  
  Vít Růžička, Anna Vaughan, Daniele De Martini, James Fulton, Valentina Salvatelli, Chris Bridges, Gonzalo Mateo-Garcia, Valentina Zantedeschi
  
  Nature Scientific Reports | October 2022
  
  Publication
- Multichannel autocalibration for the Atmospheric Imaging Assembly using machine learning
  
  Luiz F. G. Dos Santos, Souvik Bose, Valentina Salvatelli, Brad Neuberg, Mark C. M. Cheung , Miho Janvier, Meng Jin, Yarin Gal, Paul Boerner, Atılım Güneş Baydin
  
  A&A | February 2021
  
  Publication
- EXPRESS: Utilising artificial intelligence to determine patients at risk of a rare disease: idiopathic pulmonary arterial hypertension
  
  Valentina Salvatelli
  
  Pulmonary Circulation | November 2019
  
  Publication