Diffeomorphic Brain Shape Modelling Using Gauss-Newton Optimisation. - Yaël Balbastre; Mikael Brudfors; Kevin Bronik; John Ashburner (MICCAI (1), 2018)

An algorithm for learning shape and appearance models without annotations. - John Ashburner; Mikael Brudfors; Kevin Bronik; Yaël Balbastre (Medical Image Anal., 2019)

Learning to Segment When Experts Disagree. - Le Zhang 005; Ryutaro Tanno; Kevin Bronik; Chen Jin; Parashkev Nachev; Frederik Barkhof; Olga Ciccarelli; Daniel C. Alexander (MICCAI (1), 2020)

Automated Variance-Based Sensitivity Analysis of a Heterogeneous Atomistic-Continuum System. - Kevin Bronik; Werner Muller Roa; Maxime Vassaux; Wouter Edeling; Peter V. Coveney (ICCS (4), 2022)

FabSim3: An automation toolkit for verified simulations using high performance computing. - Derek Groen; Hamid Arabnejad; Diana Suleimenova; Wouter Edeling; Erwan Raffin; Yani Xue; Kevin Bronik; Nicolas Monnier; Peter V. Coveney (Comput. Phys. Commun., 2023)

Learning to restore multiple image degradations simultaneously. - Le Zhang 005; Kevin Bronik; Bartlomiej W. Papiez (Pattern Recognit., 2023)

Learning from multiple annotators for medical image segmentation. - Le Zhang 005; Ryutaro Tanno; Moucheng Xu; Yawen Huang; Kevin Bronik; Chen Jin; Joseph Jacob; Yefeng Zheng 001; Ling Shao 001; Olga Ciccarelli; Frederik Barkhof; Daniel C. Alexander (Pattern Recognit., 2023)

Conditional advancement of machine learning algorithm via fuzzy neural network. - Kevin Bronik; Le Zhang 005 (Pattern Recognit., 2024)

Automatic Plane Pose Estimation for Cardiac Left Ventricle Coverage Estimation via Deep Adversarial Regression Network. - Le Zhang 005; Kevin Bronik; Stefan K. Piechnik; Joao A. C. Lima; Stefan Neubauer; Steffen E. Petersen; Alejandro F. Frangi (IEEE Trans. Artif. Intell., 2024)

DiffuSeg: Domain-Driven Diffusion for Medical Image Segmentation. - Le Zhang 005; Fuping Wu; Kevin Bronik; Bartlomiej W. Papiez (IEEE J. Biomed. Health Informatics, 2025)