Stephanie Hyland

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

NeurIPS 2024 | December 2024

Preprint DOI Project

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 Flack, Ozan Oktay, Anja Thieme, Matthew P Lungren, Maria Teodora Wetscherek, Javier Alvarez-Valle, Stephanie Hyland

MSR-TR-2024-18 | June 2024

Published by Microsoft

Preprint PDF Github Github Download Project

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 Project

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

2405.05299 | May 2024

Published by arXiv

Preprint PDF Project

RAD-DINO: 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

MSR-TR-2024-5 | January 2024

Published by Microsoft

Preprint Download Project

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

Published by Microsoft

Publication Project

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 Project

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 Download Project

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 Project

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 Video Download Download Project

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 Project

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 Project

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 Project

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

NeurIPS 2024 | December 2024

Preprint DOI Project

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 Flack, Ozan Oktay, Anja Thieme, Matthew P Lungren, Maria Teodora Wetscherek, Javier Alvarez-Valle, Stephanie Hyland

MSR-TR-2024-18 | June 2024

Published by Microsoft

Preprint PDF Github Github Download Project

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 Project

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

2405.05299 | May 2024

Published by arXiv

Preprint PDF Project

RAD-DINO: 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

MSR-TR-2024-5 | January 2024

Published by Microsoft

Preprint Download Project

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

Published by Microsoft

Publication Project

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 Project

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 Download Project

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 Project

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 Video Download Download Project

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 Project

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

NeurIPS 2024 | December 2024

Preprint DOI Project

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 Flack, Ozan Oktay, Anja Thieme, Matthew P Lungren, Maria Teodora Wetscherek, Javier Alvarez-Valle, Stephanie Hyland

MSR-TR-2024-18 | June 2024

Published by Microsoft

Preprint PDF Github Github Download Project

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

2405.05299 | May 2024

Published by arXiv

Preprint PDF Project

RAD-DINO: 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

MSR-TR-2024-5 | January 2024

Published by Microsoft

Preprint Download Project

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 Project

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 Download Project

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 Project

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 Video Download Download Project

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 Project

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 Project

Predicting Length of Stay in the Intensive Care Unit with Temporal Pointwise Convolutional Networks

Emma Rocheteau, Pietro Liò, Stephanie Hyland

HSYS2020 | September 2020

Publication Project

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

RAD-DINO: 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

MSR-TR-2024-5 | January 2024

Published by Microsoft

Preprint Download Project

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

Published by Microsoft

Publication Project

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 Download Project

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 Video Download Download Project

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 Project

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

2405.05299 | May 2024

Published by arXiv

Preprint PDF Project

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

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

NeurIPS 2024 | December 2024

Preprint DOI Project

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 Project

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 Project

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 Download Project

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 Project

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 Video Download Download Project

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 Project

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 Flack, Ozan Oktay, Anja Thieme, Matthew P Lungren, Maria Teodora Wetscherek, Javier Alvarez-Valle, Stephanie Hyland

MSR-TR-2024-18 | June 2024

Published by Microsoft

Preprint PDF Github Github Download Project

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

2405.05299 | May 2024

Published by arXiv

Preprint PDF Project

RAD-DINO: 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

MSR-TR-2024-5 | January 2024

Published by Microsoft

Preprint Download Project

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

Published by Microsoft

Publication Project

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 Project

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 Project