Kim Branson

According to our database, Kim Branson authored at least 15 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Learning Across the Divide: Personalised Federated Learning for Robust Clinical Modelling Under Data-View Heterogeneity.

Soheila Molaei, Anshul Thakur, Lei A. Clifton, Andrew A. S. Soltan, Patrick Schwab, Danielle Belgrave, Kim Branson, David A. Clifton

IEEE J. Biomed. Health Informatics, March, 2026

Neuro-Symbolic Federated Learning over Heterogeneous Data-Views: A Structured Approach to Distributive EHR Modelling.

Soheila Molaei, Bahareh Fatemi, Anshul Thakur, Andrew A. S. Soltan, Fazle Rabbi, Andreas L. Opdahl, Kim Branson, Patrick Schwab, Danielle Belgrave, David A. Clifton

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Sample Selection Bias in Machine Learning for Healthcare.

Vinod Kumar Chauhan, Lei A. Clifton, Achille Salaün, Huiqi Yvonne Lu, Kim Branson, Patrick Schwab, Gaurav Nigam, David A. Clifton

ACM Trans. Comput. Heal., October, 2025

Sensing Cardiac Health Across Scenarios and Devices: A Multi-Modal Foundation Model Pretrained on Heterogeneous Data from 1.7 Million Individuals.

Xiao Gu, Wei Tang, Jinpei Han, Veer Sangha, Fenglin Liu, Shreyank N. Gowda, Antônio H. Ribeiro, Patrick Schwab, Kim Branson, Lei A. Clifton, Antonio Luiz P. Ribeiro, Zhangdaihong Liu, David A. Clifton

CoRR, July, 2025

Aligning, Autoencoding and Prompting Large Language Models for Novel Disease Reporting.

Fenglin Liu, Xian Wu, Jinfa Huang, Bang Yang, Kim Branson, Patrick Schwab, Lei A. Clifton, Ping Zhang, Jiebo Luo, Yefeng Zheng, David A. Clifton

IEEE Trans. Pattern Anal. Mach. Intell., May, 2025

Multi-megabase scale genome interpretation with genetic language models.

Frederik Träuble, Lachlan Stuart, Andreas Georgiou, Pascal Notin, Arash Mehrjou, Ron Schwessinger, Mathieu Chevalley, Kim Branson, Bernhard Schölkopf, Cornelia van Duijn, Debora S. Marks, Patrick Schwab

CoRR, January, 2025

A multimodal multidomain multilingual medical foundation model for zero shot clinical diagnosis.

Fenglin Liu, Zheng Li, Qingyu Yin, Jinfa Huang, Jiebo Luo, Anshul Thakur, Kim Branson, Patrick Schwab, Bing Yin, Xian Wu, Yefeng Zheng, David A. Clifton

npj Digit. Medicine, 2025

Optimising Clinical Federated Learning through Mode Connectivity-based Model Aggregation.

Anshul Thakur, Soheila Molaei, Patrick Schwab, Danielle Belgrave, Kim Branson, David A. Clifton

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

Information Transfer Across Clinical Tasks via Adaptive Parameter Optimisation.

Anshul Thakur, Elena Gal, Soheila Molaei, Xiao Gu, Patrick Schwab, Danielle Belgrave, Kim Branson, David A. Clifton

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024

Knowledge abstraction and filtering based federated learning over heterogeneous data views in healthcare.

Anshul Thakur, Soheila Molaei, Pafue Christy Nganjimi, Andrew A. S. Soltan, Patrick Schwab, Kim Branson, David A. Clifton

npj Digit. Medicine, 2024

Publisher Correction: Knowledge abstraction and filtering based federated learning over heterogeneous data views in healthcare.

Anshul Thakur, Soheila Molaei, Pafue Christy Nganjimi, Fenglin Liu, Andrew A. S. Soltan, Patrick Schwab, Kim Branson, David A. Clifton

npj Digit. Medicine, 2024

2022

Neural graphical modelling in continuous-time: consistency guarantees and algorithms.

Alexis Bellot, Kim Branson, Mihaela van der Schaar

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Consistency of mechanistic causal discovery in continuous-time using Neural ODEs.

Alexis Bellot, Kim Branson, Mihaela van der Schaar

CoRR, 2021

All You Need is Color: Image Based Spatial Gene Expression Prediction Using Neural Stain Learning.

Muhammad Dawood, Kim Branson, Nasir M. Rajpoot, Fayyaz ul Amir Afsar Minhas

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2021

ALBRT: Cellular Composition Prediction in Routine Histology Images.

Muhammad Dawood, Kim Branson, Nasir M. Rajpoot, Fayyaz ul Amir Afsar Minhas

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021