Stephanie L. Hyland

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 40

Top Topics

Intensive Care Unit

Language Processing

Machine Learning

Top Venues

Publications

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
MAIRA-2: Grounded Radiology Report Generation. CoRR (2024)
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
Multimodal Healthcare AI: Identifying and Designing Clinically Relevant Vision-Language Applications for Radiology. CHI (2024)
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
RAD-DINO: Exploring Scalable Medical Image Encoders Beyond Text Supervision. CoRR (2024)
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
Challenges for Responsible AI Design and Workflow Integration in Healthcare: A Case Study of Automatic Feeding Tube Qualification in Radiology. CoRR (2024)
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
Multimodal Healthcare AI: Identifying and Designing Clinically Relevant Vision-Language Applications for Radiology. CoRR (2024)
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
Learning to Exploit Temporal Structure for Biomedical Vision-Language Processing. CoRR (2023)
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
Exploring the Boundaries of GPT-4 in Radiology. EMNLP (2023)
Antonia Tsvetanova, Matthew Sperrin, David A. Jenkins, Niels Peek, Iain E. Buchan, Stephanie L. Hyland, Glen P. Martin
Compatibility in Missing Data Handling Across the Prediction Model Pipeline: A Simulation Study. MedInfo (2023)
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
Learning to Exploit Temporal Structure for Biomedical Vision-Language Processing. CVPR (2023)
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
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. 30 (5) (2023)
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
Compositional Zero-Shot Domain Transfer with Text-to-Text Models. CoRR (2023)
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
Compositional Zero-Shot Domain Transfer with Text-to-Text Models. Trans. Assoc. Comput. Linguistics 11 (2023)
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
Exploring the Boundaries of GPT-4 in Radiology. CoRR (2023)
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
MAIRA-1: A specialised large multimodal model for radiology report generation. CoRR (2023)
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
Making the Most of Text Semantics to Improve Biomedical Vision-Language Processing. ECCV (36) (2022)
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
Making the Most of Text Semantics to Improve Biomedical Vision-Language Processing. CoRR (2022)
Edward De Brouwer, Javier González Hernández, Stephanie L. Hyland
Predicting the impact of treatments over time with uncertainty aware neural differential equations. CoRR (2022)
Edward De Brouwer, Javier Gonzalez, Stephanie L. Hyland
Predicting the impact of treatments over time with uncertainty aware neural differential equations. AISTATS (2022)
Dimitris Spathis, Stephanie L. Hyland
Looking for Out-of-Distribution Environments in Critical Care: A case study with the eICU Database. CoRR (2022)
Antonia Tsvetanova, Glen P. Martin, Matthew Sperrin, Niels Peek, Iain E. Buchan, Stephanie L. Hyland
Inconsistencies in handling missing data across stages of prediction modelling: a review of methods used. AMIA (2021)
Matthias Hüser, Martin Faltys, Xinrui Lyu, Chris Barber, Stephanie L. Hyland, Tobias M. Merz, Gunnar Rätsch
Early prediction of respiratory failure in the intensive care unit. CoRR (2021)
Antonia Tsvetanova, Matthew Sperrin, Niels Peek, Iain E. Buchan, Stephanie L. Hyland, Glen P. Martin
Inconsistencies in handling missing data across stages of prediction modelling: a review of methods used. ICHI (2021)
Emma Rocheteau, Pietro Liò, Stephanie L. Hyland
Temporal pointwise convolutional networks for length of stay prediction in the intensive care unit. CHIL (2021)
Emma Rocheteau, Pietro Liò, Stephanie L. Hyland
Predicting Length of Stay in the Intensive Care Unit with Temporal Pointwise Convolutional Networks. CoRR (2020)
Suproteem K. Sarkar, Subhrajit Roy, Emily Alsentzer, Matthew B. A. McDermott, Fabian Falck, Ioana Bica, Griffin Adams, Stephen Pfohl, Stephanie L. Hyland
Machine Learning for Health (ML4H) 2020: Advancing Healthcare for All. ML4H@NeurIPS (2020)
Emma Rocheteau, Pietro Liò, Stephanie L. Hyland
Temporal Pointwise Convolutional Networks for Length of Stay Prediction in the Intensive Care Unit. CoRR (2020)
Emily Alsentzer, Matthew B. A. McDermott, Fabian Falck, Suproteem K. Sarkar, Subhrajit Roy, Stephanie L. Hyland
ML4H Abstract Track 2020. CoRR (2020)
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
Machine learning for early prediction of circulatory failure in the intensive care unit. CoRR (2019)
Stefan G. Stark, Stephanie L. Hyland, Melanie Fernandes Pradier, Kjong Lehmann, Andreas Wicki, Fernando Pérez-Cruz, Julia E. Vogt, Gunnar Rätsch
Unsupervised Extraction of Phenotypes from Cancer Clinical Notes for Association Studies. CoRR (2019)
Stephanie L. Hyland, Shruti Tople
On the Intrinsic Privacy of Stochastic Gradient Descent. CoRR (2019)
Stephanie L. Hyland, Matthias Hüser, Xinrui Lyu, Martin Faltys, Tobias Merz, Gunnar Rätsch
Predicting circulatory system deterioration in intensive care unit patients. AIH@IJCAI (2018)
Xinrui Lyu, Matthias Hüser, Stephanie L. Hyland, George Zerveas, Gunnar Rätsch
Improving Clinical Predictions through Unsupervised Time Series Representation Learning. CoRR (2018)
Stephanie L. Hyland, Martin Faltys, Matthias Hüser, Xinrui Lyu, Cristóbal Esteban, Gunnar Rätsch, Tobias Merz
A Machine Learning-based Early Warning System for Circulatory System Deterioration in Intensive Care Unit Patients. AMIA (2018)
Cristóbal Esteban, Stephanie L. Hyland, Gunnar Rätsch
Real-valued (Medical) Time Series Generation with Recurrent Conditional GANs. CoRR (2017)
Stephanie L. Hyland, Gunnar Rätsch
Learning Unitary Operators with Help From u(n). AAAI (2017)
Stephanie L. Hyland, Theofanis Karaletsos, Gunnar Rätsch
Knowledge Transfer with Medical Language Embeddings. CoRR (2016)
Stephanie L. Hyland, Gunnar Rätsch
Learning Unitary Operators with Help From u(n). CoRR (2016)
Stephanie L. Hyland, Theofanis Karaletsos, Gunnar Rätsch
A Generative Model of Words and Relationships from Multiple Sources. AAAI (2016)
Paulina Grnarova, Florian Schmidt, Stephanie L. Hyland, Carsten Eickhoff
Neural Document Embeddings for Intensive Care Patient Mortality Prediction. CoRR (2016)
Stephanie L. Hyland, Theofanis Karaletsos, Gunnar Rätsch
A Generative Model of Words and Relationships from Multiple Sources. CoRR (2015)