Stephanie L. Hyland

54 papers A* 5A 1Misc 2Journal 36Unranked 8

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Challenges for Responsible AI Design and Workflow Integration in Healthcare: A Case Study of Automatic Feeding Tube Qualification in Radiology. ACM Trans. Comput. Hum. Interact. Anja Thieme, Abhijith Rajamohan, Benjamin Cooper, Heather Groombridge, Robert Simister, Barney Wong, Nicholas Woznitza, Mark A. Pinnock, Maria T. A. Wetscherek, Cecily Morrison, Hannah Richardson, Fernando Pérez-García, Stephanie L. Hyland, Shruthi Bannur, Daniel Coelho de Castro, Kenza Bouzid, Anton Schwaighofer, Mercy Prasanna Ranjit, Harshita Sharma, Matthew P. Lungren, Ozan Oktay, Javier Alvarez-Valle, Aditya V. Nori, Steve K. Harris, Joseph Jacob
2025	J	`jnl`	Closing the Performance Gap Between AI and Radiologists in Chest X-Ray Reporting. CoRR Harshita Sharma, Maxwell Reynolds, Valentina Salvatelli, Anne-Marie G. Sykes, Kelly K. Horst, Anton Schwaighofer, Maximilian Ilse, Olesya Melnichenko, Sam Bond-Taylor, Fernando Pérez-García, Vamshi K. Mugu, Alex Chan, Ceylan Colak, Shelby A. Swartz, Motassem B. Nashawaty, Austin J. Gonzalez, Heather A. Ouellette, Selnur B. Erdal, Beth A. Schueler, Maria Teodora Wetscherek, Noel Codella, Mohit Jain, Shruthi Bannur, Kenza Bouzid, Daniel C. Castro, Stephanie L. Hyland, Panos Korfiatis, Ashish Khandelwal, Javier Alvarez-Valle
2025	J	`jnl`	Exploring scalable medical image encoders beyond text supervision. Nat. Mac. Intell. Fernando Pérez-García, Harshita Sharma, Sam Bond-Taylor, Kenza Bouzid, Valentina Salvatelli, Maximilian Ilse, Shruthi Bannur, Daniel C. Castro, Anton Schwaighofer, Matthew P. Lungren, Maria Teodora Wetscherek, Noel Codella, Stephanie L. Hyland, Javier Alvarez-Valle, Ozan Oktay
2025	J	`jnl`	Insights into a radiology-specialised multimodal large language model with sparse autoencoders. CoRR Kenza Bouzid, Shruthi Bannur, Felix Meissen, Daniel Coelho de Castro, Anton Schwaighofer, Javier Alvarez-Valle, Stephanie L. Hyland
2025	J	`jnl`	NOVA: An Agentic Framework for Automated Histopathology Analysis and Discovery. CoRR Anurag J. Vaidya, Felix Meissen, Daniel C. Castro, Shruthi Bannur, Tristan Lazard, Drew F. K. Williamson, Faisal Mahmood, Javier Alvarez-Valle, Stephanie L. Hyland, Kenza Bouzid
2025	J	`jnl`	RMS: a ML-based system for ICU respiratory monitoring and resource planning. npj Digit. Medicine Matthias Hüser, Xinrui Lyu, Martin Faltys, Alizée Pace, David Berger, Marine Hoche, Stephanie L. Hyland, Hugo Yèche, Manuel Burger, Tobias M. Merz, Gunnar Rätsch
2024	J	`jnl`	An X-Ray Is Worth 15 Features: Sparse Autoencoders for Interpretable Radiology Report Generation. CoRR Ahmed Abdulaal, Hugo Fry, Nina Montaña Brown, Ayodeji Ijishakin, Jack Gao, Stephanie L. Hyland, Daniel C. Alexander, Daniel C. Castro
2024	J	`jnl`	Challenges for Responsible AI Design and Workflow Integration in Healthcare: A Case Study of Automatic Feeding Tube Qualification in Radiology. CoRR Anja Thieme, Abhijith Rajamohan, Benjamin Cooper, Heather Groombridge, Robert Simister, Barney Wong, Nicholas Woznitza, Mark Ames Pinnock, Maria Teodora Wetscherek, Cecily Morrison, Hannah Richardson, Fernando Pérez-García, Stephanie L. Hyland, Shruthi Bannur, Daniel C. Castro, Kenza Bouzid, Anton Schwaighofer, Mercy Ranjit, Harshita Sharma, Matthew P. Lungren, Ozan Oktay, Javier Alvarez-Valle, Aditya V. Nori, Stephen Harris, Joseph Jacob
2024	—	`conf`	MAIRA at RRG24: A specialised large multimodal model for radiology report generation. BioNLP@ACL Shaury Srivastav, Mercy Ranjit, Fernando Pérez-García, Kenza Bouzid, Shruthi Bannur, Daniel C. Castro, Anton Schwaighofer, Harshita Sharma, Maximilian Ilse, Valentina Salvatelli, Sam Bond-Taylor, Fabian Falck, Anja Thieme, Hannah Richardson, Matthew P. Lungren, Stephanie L. Hyland, Javier Alvarez-Valle
2024	J	`jnl`	MAIRA-2: Grounded Radiology Report Generation. CoRR Shruthi Bannur, Kenza Bouzid, Daniel C. 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 L. Hyland
2024	—	`conf`	MAIRA-Seg: Enhancing Radiology Report Generation with Segmentation-Aware Multimodal Large Language Models. ML4H@NeurIPS Harshita Sharma, Valentina Salvatelli, Shaury Srivastav, Kenza Bouzid, Shruthi Bannur, Daniel C. Castro, Maximilian Ilse, Sam Bond-Taylor, Mercy Prasanna Ranjit, Fabian Falck, Fernando Pérez-García, Anton Schwaighofer, Hannah Richardson, Maria Wetscherek, Stephanie L. Hyland, Javier Alvarez-Valle
2024	J	`jnl`	MAIRA-Seg: Enhancing Radiology Report Generation with Segmentation-Aware Multimodal Large Language Models. CoRR Harshita Sharma, Valentina Salvatelli, Shaury Srivastav, Kenza Bouzid, Shruthi Bannur, Daniel C. Castro, Maximilian Ilse, Sam Bond-Taylor, Mercy Prasanna Ranjit, Fabian Falck, Fernando Pérez-García, Anton Schwaighofer, Hannah Richardson, Maria Teodora Wetscherek, Stephanie L. Hyland, Javier Alvarez-Valle
2024	J	`jnl`	MedImageInsight: An Open-Source Embedding Model for General Domain Medical Imaging. CoRR Noel C. F. Codella, Ying Jin, Shrey Jain, Yu Gu, Ho Hin Lee, Asma Ben Abacha, Alberto Santamaría-Pang, Will Guyman, Naiteek Sangani, Sheng Zhang, Hoifung Poon, Stephanie L. Hyland, Shruthi Bannur, Javier Alvarez-Valle, Xue Li, John W. Garrett, Alan B. McMillan, Gaurav Rajguru, Madhu Maddi, Nilesh Vijayrania, Rehaan Bhimai, Nick Mecklenburg, Rupal Jain, Daniel Holstein, Naveen Gaur, Vijay Aski, Jenq-Neng Hwang, Thomas Lin, Ivan Tarapov, Matthew P. Lungren, Mu Wei
2024	A*	`conf`	Multimodal Healthcare AI: Identifying and Designing Clinically Relevant Vision-Language Applications for Radiology. CHI Nur Yildirim, Hannah Richardson, Maria Teodora Wetscherek, Junaid Bajwa, Joseph Jacob, Mark Ames Pinnock, Stephen Harris, Daniel Coelho de Castro, Shruthi Bannur, Stephanie L. Hyland, Pratik Ghosh, Mercy Ranjit, Kenza Bouzid, Anton Schwaighofer, Fernando Pérez-García, Harshita Sharma, Ozan Oktay, Matthew P. Lungren, Javier Alvarez-Valle, Aditya V. Nori, Anja Thieme
2024	J	`jnl`	Multimodal Healthcare AI: Identifying and Designing Clinically Relevant Vision-Language Applications for Radiology. CoRR Nur Yildirim, Hannah Richardson, Maria T. A. Wetscherek, Junaid Bajwa, Joseph Jacob, Mark A. Pinnock, Stephen Harris, Daniel Coelho de Castro, Shruthi Bannur, Stephanie L. Hyland, Pratik Ghosh, Mercy Ranjit, Kenza Bouzid, Anton Schwaighofer, Fernando Pérez-García, Harshita Sharma, Ozan Oktay, Matthew P. Lungren, Javier Alvarez-Valle, Aditya V. Nori, Anja Thieme
2024	J	`jnl`	PadChest-GR: A Bilingual Chest X-ray Dataset for Grounded Radiology Report Generation. CoRR Daniel C. Castro, Aurelia Bustos, Shruthi Bannur, Stephanie L. Hyland, Kenza Bouzid, Maria Teodora Wetscherek, M. Sánchez-Valverde, Lara Jaques-Pérez, Lourdes Pérez-Rodríguez, Kenji Takeda, José María Salinas, Javier Alvarez-Valle, Joaquin Galant, Antonio Pertusa
2024	J	`jnl`	RAD-DINO: Exploring Scalable Medical Image Encoders Beyond Text Supervision. CoRR Fernando Pérez-García, Harshita Sharma, Sam Bond-Taylor, Kenza Bouzid, Valentina Salvatelli, Maximilian Ilse, Shruthi Bannur, Daniel C. Castro, Anton Schwaighofer, Matthew P. Lungren, Maria Wetscherek, Noel Codella, Stephanie L. Hyland, Javier Alvarez-Valle, Ozan Oktay
2023	—	`conf`	Compatibility in Missing Data Handling Across the Prediction Model Pipeline: A Simulation Study. MedInfo Antonia Tsvetanova, Matthew Sperrin, David A. Jenkins, Niels Peek, Iain E. Buchan, Stephanie L. Hyland, Glen P. Martin
2023	J	`jnl`	Compositional Zero-Shot Domain Transfer with Text-to-Text Models. CoRR Fangyu Liu, Qianchu Liu, Shruthi Bannur, Fernando Pérez-García, Naoto Usuyama, Sheng Zhang, Tristan Naumann, Aditya V. Nori, Hoifung Poon, Javier Alvarez-Valle, Ozan Oktay, Stephanie L. Hyland
2023	J	`jnl`	Compositional Zero-Shot Domain Transfer with Text-to-Text Models. Trans. Assoc. Comput. Linguistics Fangyu Liu, Qianchu Liu, Shruthi Bannur, Fernando Pérez-García, Naoto Usuyama, Sheng Zhang, Tristan Naumann, Aditya V. Nori, Hoifung Poon, Javier Alvarez-Valle, Ozan Oktay, Stephanie L. Hyland
2023	A*	`conf`	Exploring the Boundaries of GPT-4 in Radiology. EMNLP Qianchu Liu, Stephanie L. Hyland, Shruthi Bannur, Kenza Bouzid, Daniel C. Castro, Maria Wetscherek, Robert Tinn, Harshita Sharma, Fernando Pérez-García, Anton Schwaighofer, Pranav Rajpurkar, Sameer Tajdin Khanna, Hoifung Poon, Naoto Usuyama, Anja Thieme, Aditya V. Nori, Matthew P. Lungren, Ozan Oktay, Javier Alvarez-Valle
2023	J	`jnl`	Exploring the Boundaries of GPT-4 in Radiology. CoRR Qianchu Liu, Stephanie L. Hyland, Shruthi Bannur, Kenza Bouzid, Daniel C. 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 V. Nori, Matthew P. Lungren, Ozan Oktay, Javier Alvarez-Valle
2023	J	`jnl`	Framing Machine Learning Opportunities for Hypotension Prediction in Perioperative Care: A Socio-technical Perspective: Socio-technical perspectives on hypotension prediction. ACM Trans. Comput. Hum. Interact. Pratik Ghosh, Karen L. Posner, Stephanie L. Hyland, Wil van Cleve, Melissa Bristow, Dustin R. Long, Konstantina Palla, Bala Nair, Christine Fong, Ronald Pauldine, Monica S. Vavilala, Kenton O'Hara
2023	A*	`conf`	Learning to Exploit Temporal Structure for Biomedical Vision-Language Processing. CVPR Shruthi Bannur, Stephanie L. Hyland, Qianchu Liu, Fernando Pérez-García, Maximilian Ilse, Daniel C. Castro, Benedikt Boecking, Harshita Sharma, Kenza Bouzid, Anja Thieme, Anton Schwaighofer, Maria Wetscherek, Matthew P. Lungren, Aditya V. Nori, Javier Alvarez-Valle, Ozan Oktay
2023	J	`jnl`	Learning to Exploit Temporal Structure for Biomedical Vision-Language Processing. CoRR Shruthi Bannur, Stephanie L. Hyland, Qianchu Liu, Fernando Pérez-García, Maximilian Ilse, Daniel C. Castro, Benedikt Boecking, Harshita Sharma, Kenza Bouzid, Anja Thieme, Anton Schwaighofer, Maria Wetscherek, Matthew P. Lungren, Aditya V. Nori, Javier Alvarez-Valle, Ozan Oktay
2023	J	`jnl`	MAIRA-1: A specialised large multimodal model for radiology report generation. CoRR Stephanie L. Hyland, Shruthi Bannur, Kenza Bouzid, Daniel C. 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
2022	J	`jnl`	Looking for Out-of-Distribution Environments in Critical Care: A case study with the eICU Database. CoRR Dimitris Spathis, Stephanie L. Hyland
2022	—	`conf`	Making the Most of Text Semantics to Improve Biomedical Vision-Language Processing. ECCV (36) Benedikt Boecking, Naoto Usuyama, Shruthi Bannur, Daniel C. Castro, Anton Schwaighofer, Stephanie L. Hyland, Maria Wetscherek, Tristan Naumann, Aditya V. Nori, Javier Alvarez-Valle, Hoifung Poon, Ozan Oktay
2022	J	`jnl`	Making the Most of Text Semantics to Improve Biomedical Vision-Language Processing. CoRR Benedikt Boecking, Naoto Usuyama, Shruthi Bannur, Daniel C. Castro, Anton Schwaighofer, Stephanie L. Hyland, Maria Wetscherek, Tristan Naumann, Aditya V. Nori, Javier Alvarez-Valle, Hoifung Poon, Ozan Oktay
2022	A	`conf`	Predicting the impact of treatments over time with uncertainty aware neural differential equations. AISTATS Edward De Brouwer, Javier González, Stephanie L. Hyland
2022	J	`jnl`	Predicting the impact of treatments over time with uncertainty aware neural differential equations. CoRR Edward De Brouwer, Javier González Hernández, Stephanie L. Hyland
2021	J	`jnl`	Early prediction of respiratory failure in the intensive care unit. CoRR Matthias Hüser, Martin Faltys, Xinrui Lyu, Chris Barber, Stephanie L. Hyland, Tobias M. Merz, Gunnar Rätsch
2021	—	`ed.`	I (Still) Can't Believe It's Not Better! Workshop at NeurIPS 2021, Virtual Workshop, December 13, 2021. ICBINB@NeurIPS Melanie F. Pradier, Aaron Schein, Stephanie L. Hyland, Francisco J. R. Ruiz, Jessica Zosa Forde
2021	Misc	`conf`	Inconsistencies in handling missing data across stages of prediction modelling: a review of methods used. AMIA Antonia Tsvetanova, Glen P. Martin, Matthew Sperrin, Niels Peek, Iain E. Buchan, Stephanie L. Hyland
2021	—	`conf`	Inconsistencies in handling missing data across stages of prediction modelling: a review of methods used. ICHI Antonia Tsvetanova, Matthew Sperrin, Niels Peek, Iain E. Buchan, Stephanie L. Hyland, Glen P. Martin
2021	—	`conf`	Temporal pointwise convolutional networks for length of stay prediction in the intensive care unit. CHIL Emma Rocheteau, Pietro Liò, Stephanie L. Hyland
2020	J	`jnl`	ML4H Abstract Track 2020. CoRR Emily Alsentzer, Matthew B. A. McDermott, Fabian Falck, Suproteem K. Sarkar, Subhrajit Roy, Stephanie L. Hyland
2020	—	`conf`	Machine Learning for Health (ML4H) 2020: Advancing Healthcare for All. ML4H@NeurIPS Suproteem K. Sarkar, Subhrajit Roy, Emily Alsentzer, Matthew B. A. McDermott, Fabian Falck, Ioana Bica, Griffin Adams, Stephen Pfohl, Stephanie L. Hyland
2020	—	`ed.`	Machine Learning for Health Workshop, ML4H@NeurIPS 2020, Virtual Event, 11 December 2020 ML4H@NeurIPS Emily Alsentzer, Matthew B. A. McDermott, Fabian Falck, Suproteem K. Sarkar, Subhrajit Roy, Stephanie L. Hyland
2020	J	`jnl`	Predicting Length of Stay in the Intensive Care Unit with Temporal Pointwise Convolutional Networks. CoRR Emma Rocheteau, Pietro Liò, Stephanie L. Hyland
2020	J	`jnl`	Temporal Pointwise Convolutional Networks for Length of Stay Prediction in the Intensive Care Unit. CoRR Emma Rocheteau, Pietro Liò, Stephanie L. Hyland
2019	J	`jnl`	Machine learning for early prediction of circulatory failure in the intensive care unit. CoRR Stephanie L. Hyland, Martin Faltys, Matthias Hüser, Xinrui Lyu, Thomas Gumbsch, Cristóbal Esteban, Christian Bock, Max Horn, Michael Moor, Bastian Rieck, Marc Zimmermann, Dean A. Bodenham, Karsten M. Borgwardt, Gunnar Rätsch, Tobias M. Merz
2019	J	`jnl`	On the Intrinsic Privacy of Stochastic Gradient Descent. CoRR Stephanie L. Hyland, Shruti Tople
2019	J	`jnl`	Unsupervised Extraction of Phenotypes from Cancer Clinical Notes for Association Studies. CoRR Stefan G. Stark, Stephanie L. Hyland, Melanie Fernandes Pradier, Kjong-Van Lehmann, Andreas Wicki, Fernando Pérez-Cruz, Julia E. Vogt, Gunnar Rätsch
2018	Misc	`conf`	A Machine Learning-based Early Warning System for Circulatory System Deterioration in Intensive Care Unit Patients. AMIA Stephanie L. Hyland, Martin Faltys, Matthias Hüser, Xinrui Lyu, Cristóbal Esteban, Gunnar Rätsch, Tobias Merz
2018	J	`jnl`	Improving Clinical Predictions through Unsupervised Time Series Representation Learning. CoRR Xinrui Lyu, Matthias Hüser, Stephanie L. Hyland, George Zerveas, Gunnar Rätsch
2018	—	`conf`	Predicting circulatory system deterioration in intensive care unit patients. AIH@IJCAI Stephanie L. Hyland, Matthias Hüser, Xinrui Lyu, Martin Faltys, Tobias Merz, Gunnar Rätsch
2017	A*	`conf`	Learning Unitary Operators with Help From u(n). AAAI Stephanie L. Hyland, Gunnar Rätsch
2017	J	`jnl`	Real-valued (Medical) Time Series Generation with Recurrent Conditional GANs. CoRR Cristóbal Esteban, Stephanie L. Hyland, Gunnar Rätsch
2016	A*	`conf`	A Generative Model of Words and Relationships from Multiple Sources. AAAI Stephanie L. Hyland, Theofanis Karaletsos, Gunnar Rätsch
2016	J	`jnl`	Knowledge Transfer with Medical Language Embeddings. CoRR Stephanie L. Hyland, Theofanis Karaletsos, Gunnar Rätsch
2016	J	`jnl`	Learning Unitary Operators with Help From u(n). CoRR Stephanie L. Hyland, Gunnar Rätsch
2016	J	`jnl`	Neural Document Embeddings for Intensive Care Patient Mortality Prediction. CoRR Paulina Grnarova, Florian Schmidt, Stephanie L. Hyland, Carsten Eickhoff
2015	J	`jnl`	A Generative Model of Words and Relationships from Multiple Sources. CoRR Stephanie L. Hyland, Theofanis Karaletsos, Gunnar Rätsch