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Publications from the Cerebro-cardiovascular Health Engineering (COCHE) project at the University of Oxford

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Publications

  • FedExIT - missing class-agnostic semi-supervised federated learning with extreme imbalance tackling scheme Pramit Saha, Divyanshu Mishra, Felix Wagner, Konstantinos Kamnitsas, J. Alison Noble, Information Fusion, Volume 130, June 2026, 104080  https://doi.org/10.1016/j.inffus.2025.104080
  • On the public dissemination and open sourcing of ultrasound resources, datasets and deep learning models Mohammad Alsharid, Xiaoqing Guo, Qianhui Men, Pramit Saha, Divyanshu Mishra, Rahul Ahuja, Cheng Ouyang & J. Alison Noble , npj Digital Medicine 8, Article number:777 (2025)https://doi.org/10.1038/s41746-025-02162-4
  • T1:The human factor in explainable artificial intelligence: clinician variability in trust, reliance, and performance Angus Nicolson, Elizabeth Bradburn, Yarin Gal, Aris T. Papageorghiou & J. Alison Noble, npj Digital Medicine 8, Article number: 658 (2025)https://doi.org/10.1038/s41746-025-02023-0 
  • T1: ScanAhead: Simplifying standard plane acquisition of fetal head ultrasound Qianhui Men, He Zhao,  Lior Drukker, Aris T. Papageorghiou,  J. Alison Noble, Medical Image Analysis, Volume 104, August 2025, 103614   https://doi.org/10.1016/j.media.2025.103614 
  • T1: Towards Human-AI Collaboration in Healthcare: Guided Deferral Systems with Large Language Models. Joshua Strong, Qianhui Men, Alison Noble, ICML 2024 Workshop on LLMs and Cognition https://openreview.net/forum?id=4c5rg9y4me 
  • T1:  MedVLM-R1: Incentivizing Medical Reasoning Capability of Vision-Language Models (VLMs) via Reinforcement Learning, Jiazhen Pan, Che Liu, Junde Wu, Fenglin Liu, Jiayuan Zhu, Hongwei Bran Li, Chen Chen, Cheng Ouyan,  Daniel Rueckert, In: Gee, J.C., et al. Medical Image Computing and Computer Assisted Intervention – MICCAI 2025. MICCAI 2025. Lecture Notes in Computer Science, vol 15966. Springer, Cham.https://doi.org/10.1007/978-3-032-04981-0_32
  • T2:F3OCUS - Federated Finetuning of Vision-Language Foundation Models with Optimal Client Layer Updating Strategy via Multi-objective Meta-Heuristics, Pramit Saha, Felix Wagner, Divyanshu Mishra, Can Peng, Anshul Thakur, David Clifton, Konstantinos Kamnitsas, J. Alison Noble, 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Nashville, TN, USA, 2025, pp. 20006-20017 doi: 10.1109/CVPR52734.2025.01863 
  • T2: Self-supervised Normality Learning and Divergence Vector-Guided Model Merging for Zero-Shot Congenital Heart Disease Detection in Fetal Ultrasound Videos. Pramit Saha, Divyanshu Mishra, Netzahualcoyotl Hernandez-Cruz, Olga Patey, Aris T. Papageorghiou, Yuki M. Asano, and J. Alison Noble. 2025.  In Medical Image Computing and Computer Assisted Intervention – MICCAI 2025: 28th International Conference, Daejeon, South Korea, September 23–27, 2025, Proceedings, Part VII. Springer-Verlag, Berlin, Heidelberg, 560–571. https://doi.org/10.1007/978-3-032-04981-0_53 
  • T2:Review of Federated Learning and Machine Learning-Based Methods for Medical Image Analysis, Netzahualcoyotl Hernandez-Cruz, Pramit Saha, Md Mostafa Kamal Sarker, J. Alison Noble.Big Data and Cognitive Computing. 2024; 8(9):99. https://doi.org/10.3390/bdcc8090099