Stephanie L. Hyland
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
10
Venues
8
Active years
2016–2024
Best venue rank
A*
Where they publish
Papers
10 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | CHI | Multimodal Healthcare AI: Identifying and Designing Clinically Relevant Vision-Language Applications for Radiology. | 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 Prez-Garca, Harshita Sharma, Ozan Oktay, Matthew P. Lungren, Javier Alvarez-Valle, Aditya V. Nori, Anja Thieme |
| 2023 | CVPR | Learning to Exploit Temporal Structure for Biomedical Vision-Language Processing. | Shruthi Bannur, Stephanie L. Hyland, Qianchu Liu, Fernando Prez-Garca, 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 | EMNLP | Exploring the Boundaries of GPT-4 in Radiology. | Qianchu Liu, Stephanie L. Hyland, Shruthi Bannur, Kenza Bouzid, Daniel C. Castro, Maria Wetscherek, Robert Tinn, Harshita Sharma, Fernando Prez-Garca, Anton Schwaighofer, Pranav Rajpurkar, Sameer Tajdin Khanna, Hoifung Poon, Naoto Usuyama, Anja Thieme, Aditya V. Nori, Matthew P. Lungren, Ozan Oktay, Javier Alvarez-Valle |
| 2022 | AISTATS | Predicting the impact of treatments over time with uncertainty aware neural differential equations. | Edward De Brouwer, Javier Gonzlez, Stephanie L. Hyland |
| 2022 | ECCV | Making the Most of Text Semantics to Improve Biomedical Vision-Language Processing. | 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 |
| 2021 | AMIA | Inconsistencies in handling missing data across stages of prediction modelling: a review of methods used. | Antonia Tsvetanova, Glen P. Martin, Matthew Sperrin, Niels Peek, Iain E. Buchan, Stephanie L. Hyland |
| 2018 | AMIA | A Machine Learning-based Early Warning System for Circulatory System Deterioration in Intensive Care Unit Patients. | Stephanie L. Hyland, Martin Faltys, Matthias Hser, Xinrui Lyu, Cristbal Esteban, Gunnar Rtsch, Tobias Merz |
| 2018 | IJCAI | Predicting circulatory system deterioration in intensive care unit patients. | Stephanie L. Hyland, Matthias Hser, Xinrui Lyu, Martin Faltys, Tobias Merz, Gunnar Rtsch |
| 2017 | AAAI | Learning Unitary Operators with Help From u(n). | Stephanie L. Hyland, Gunnar Rtsch |
| 2016 | AAAI | A Generative Model of Words and Relationships from Multiple Sources. | Stephanie L. Hyland, Theofanis Karaletsos, Gunnar Rtsch |