SH
Stephanie Hyland
cs.LGcs.CLcs.CVstat.MLcs.AIstat.APcs.HCeess.IVStatistical modelsArtificial Intelligence
On Valency
published · living versionsW_e3f7vbsb·v1 · currentpublished
Attribution-based diagnostics for single-cell foundation models
with Farnoush Rezaei Jafari, Tristan Lazard, Kenza Bouzid, Shruthi Bannur +4
1 version
Preprints & journals
42 papers in the corpus · 2015–2026Sparse concept attribution for histomorphological hypothesis generation from whole-slide classifiers2609.02985v1 · Tristan Lazard, Kenza Bouzid, Julius Hense et al.2026 · 0 citationsarXiv
RMS: a ML-based system for ICU respiratory monitoring and resource planning.41419550 · Hüser, Matthias, Lyu, Xinrui, Faltys, Martin et al.2025 · 6 citationsNPJ digital medicine. 2025;8(1):775
Closing the Performance Gap Between AI and Radiologists in Chest X-Ray Reporting2511.21735v1 · Harshita Sharma, Maxwell C. Reynolds, Valentina Salvatelli et al.2025 · 0 citationsarXiv
NOVA: An Agentic Framework for Automated Histopathology Analysis and Discovery2511.11324v1 · Anurag J. Vaidya, Felix Meissen, Daniel C. Castro et al.2025 · 0 citationsarXiv
Insights into a radiology-specialised multimodal large language model with sparse autoencoders2507.12950v2 · Kenza Bouzid, Shruthi Bannur, Felix Meissen et al.2025 · 0 citationsarXiv
Compatibility of Missing Data Handling Methods across the Stages of Producing Clinical Prediction Models2504.06799v3 · Antonia Tsvetanova, Matthew Sperrin, David A. Jenkins et al.2025 · 0 citationsarXiv
MAIRA-Seg: Enhancing Radiology Report Generation with Segmentation-Aware Multimodal Large Language Models2411.11362v1 · Harshita Sharma, Valentina Salvatelli, Shaury Srivastav et al.2024 · 1 citationarXiv
PadChest-GR: A Bilingual Chest X-ray Dataset for Grounded Radiology Report Generation2411.05085v2 · Daniel C. Castro, Aurelia Bustos, Shruthi Bannur et al.2024 · 28 citationsarXiv
MedImageInsight: An Open-Source Embedding Model for General Domain Medical Imaging2410.06542v1 · Noel C. F. Codella, Ying Jin, Shrey Jain et al.2024 · 4 citationsarXiv
An X-Ray Is Worth 15 Features: Sparse Autoencoders for Interpretable Radiology Report Generation2410.03334v1 · Ahmed Abdulaal, Hugo Fry, Nina Montana-Brown et al.2024 · 2 citationsarXiv
MAIRA-2: Grounded Radiology Report Generation2406.04449v2 · Shruthi Bannur, Kenza Bouzid, Daniel C. Castro et al.2024 · 19 citationsarXiv
Challenges for Responsible AI Design and Workflow Integration in Healthcare: A Case Study of Automatic Feeding Tube Qualification in Radiology2405.05299v1 · Anja Thieme, Abhijith Rajamohan, Benjamin Cooper et al.2024 · 10 citationsarXiv
Multimodal Healthcare AI: Identifying and Designing Clinically Relevant Vision-Language Applications for Radiology2402.14252v1 · Nur Yildirim, Hannah Richardson, Maria T. Wetscherek et al.2024 · 82 citationsarXiv
Compatibility in Missing Data Handling Across the Prediction Model Pipeline: A Simulation Study.38269704 · Tsvetanova, Antonia, Sperrin, Matthew, Jenkins, David et al.2024 · 2 citationsStudies in health technology and informatics. 2024;310:1476-1477
Exploring scalable medical image encoders beyond text supervision2401.10815v3 · Fernando P'erez-Garc'ia, Harshita Sharma, Sam Bond-Taylor et al.2024 · 88 citationsNature Machine Intelligence (2025)
MAIRA-1: A specialised large multimodal model for radiology report generation2311.13668v3 · Stephanie L. Hyland, Shruthi Bannur, Kenza Bouzid et al.2023 · 16 citationsarXiv
Exploring the Boundaries of GPT-4 in Radiology2310.14573v1 · Qianchu Liu, Stephanie Hyland, Shruthi Bannur et al.2023 · 25 citationsarXiv
Compositional Zero-Shot Domain Transfer with Text-to-Text Models2303.13386v1 · Fangyu Liu, Qianchu Liu, Shruthi Bannur et al.2023 · 5 citationsarXiv
Learning to Exploit Temporal Structure for Biomedical Vision-Language Processing2301.04558v2 · Shruthi Bannur, Stephanie Hyland, Qianchu Liu et al.2023 · 224 citationsarXiv
Leveraging electronic health records for data science: common pitfalls and how to avoid them.36154811 · Sauer, Christopher M, Chen, Li-Ching, Hyland, Stephanie L et al.2022 · 168 citationsThe Lancet. Digital health. 2022;4(12):e893-e898
Looking for Out-of-Distribution Environments in Multi-center Critical Care Data2205.13398v2 · Dimitris Spathis, Stephanie L. Hyland2022 · 1 citationarXiv
Making the Most of Text Semantics to Improve Biomedical Vision--Language Processing2204.09817v4 · Benedikt Boecking, Naoto Usuyama, Shruthi Bannur et al.2022 · 312 citationsComputer Vision - ECCV 2022, LNCS vol 13696, pp 1-21
Predicting the impact of treatments over time with uncertainty aware neural differential equations2202.11987v1 · Edward De Brouwer, Javier Gonz'alez Hern'andez, Stephanie Hyland2022 · 5 citationsAISTATS 2022
Intraoperative prediction of postanaesthesia care unit hypotension.34924175 · Palla, Konstantina, Hyland, Stephanie L, Posner, Karen et al.2022 · 39 citationsBritish journal of anaesthesia. 2022;128(4):623-635
Sociodemographic and clinical features predictive of SARS-CoV-2 test positivity across healthcare visit-types.34648552 · Phuong, Jimmy, Hyland, Stephanie L, Mooney, Stephen J et al.2021 · 3 citationsPloS one. 2021;16(10):e0258339
Missing data was handled inconsistently in UK prediction models: a review of method used.34520847 · Tsvetanova, Antonia, Sperrin, Matthew, Peek, Niels et al.2022 · 63 citationsJournal of clinical epidemiology. 2021;140:149-158
Early prediction of respiratory failure in the intensive care unit2105.05728v1 · Matthias Huser, Martin Faltys, Xinrui Lyu et al.2021 · 1 citationarXiv
ML4H Abstract Track 20202011.11554v1 · Emily Alsentzer, Matthew B. A. McDermott, Fabian Falck et al.2020 · 0 citationsarXiv
Temporal Pointwise Convolutional Networks for Length of Stay Prediction in the Intensive Care Unit2007.09483v4 · Emma Rocheteau, Pietro Lio, Stephanie Hyland2020 · 70 citationsarXiv
Predicting Length of Stay in the Intensive Care Unit with Temporal Pointwise Convolutional Networks2006.16109v2 · Emma Rocheteau, Pietro Lio, Stephanie Hyland2020 · 3 citationsarXiv
Early prediction of circulatory failure in the intensive care unit using machine learning.32152583 · Hyland, Stephanie L, Faltys, Martin, Hüser, Matthias et al.2020 · 475 citationsNature medicine. 2020;26(3):364-373
An Empirical Study on the Intrinsic Privacy of SGD1912.02919v4 · Stephanie L. Hyland, Shruti Tople2019 · 2 citationsarXiv
A Bayesian Nonparametric Approach to Discover Clinico-Genetic Associations across Cancer Types10.1101/623215v1 · Pradier, M. F., Hyland, S. L., Stark, S. G. et al.2019 · 0 citationsbioRxiv
Unsupervised Extraction of Phenotypes from Cancer Clinical Notes for Association Studies1904.12973v2 · Stefan G. Stark, Stephanie L. Hyland, Melanie F. Pradier et al.2019 · 4 citationsarXiv
Machine learning for early prediction of circulatory failure in the intensive care unit1904.07990v2 · Stephanie L. Hyland, Martin Faltys, Matthias Huser et al.2019 · 3 citationsarXiv
Improving Clinical Predictions through Unsupervised Time Series Representation Learning1812.00490v1 · Xinrui Lyu, Matthias Hueser, Stephanie L. Hyland et al.2018 · 22 citationsarXiv
Real-valued (Medical) Time Series Generation with Recurrent Conditional GANs1706.02633v2 · Crist'obal Esteban, Stephanie L. Hyland, Gunnar Ratsch2017 · 567 citationsarXiv
Neural Document Embeddings for Intensive Care Patient Mortality Prediction1612.00467v1 · Paulina Grnarova, Florian Schmidt, Stephanie L. Hyland et al.2016 · 46 citationsarXiv
Learning Unitary Operators with Help From u(n)1607.04903v3 · Stephanie L. Hyland, Gunnar Ratsch2016 · 30 citationsarXiv
Knowledge Transfer with Medical Language Embeddings1602.03551v1 · Stephanie L. Hyland, Theofanis Karaletsos, Gunnar Ratsch2016 · 1 citationarXiv
A Generative Model of Words and Relationships from Multiple Sources1510.00259v2 · Stephanie L. Hyland, Theofanis Karaletsos, Gunnar Ratsch2015 · 5 citationsarXiv
Identification of active transcriptional regulatory elements from GRO-seq data.25799441 · Danko, Charles G, Hyland, Stephanie L, Core, Leighton J et al.2015 · 228 citationsNature methods. 2015;12(5):433-8
Career total: 65 works. 42 are in this corpus.
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