Kevin Bronik

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 10

Top Topics

Top Venues

Pattern Recognit.

Medical Image Anal.

Publications

Kevin Bronik, Le Zhang
Conditional advancement of machine learning algorithm via fuzzy neural network. Pattern Recognit. 155 (2024)
Le Zhang, Kevin Bronik, Bartlomiej W. Papiez
Learning to restore multiple image degradations simultaneously. Pattern Recognit. 136 (2023)
Derek Groen, Hamid Arabnejad, Diana Suleimenova, Wouter Edeling, Erwan Raffin, Yani Xue, Kevin Bronik, Nicolas Monnier, Peter V. Coveney
FabSim3: An automation toolkit for verified simulations using high performance computing. Comput. Phys. Commun. 283 (2023)
Le Zhang, Ryutaro Tanno, Moucheng Xu, Yawen Huang, Kevin Bronik, Chen Jin, Joseph Jacob, Yefeng Zheng, Ling Shao, Olga Ciccarelli, Frederik Barkhof, Daniel C. Alexander
Learning from multiple annotators for medical image segmentation. Pattern Recognit. 138 (2023)
Kevin Bronik, Werner Muller Roa, Maxime Vassaux, Wouter Edeling, Peter V. Coveney
Automated Variance-Based Sensitivity Analysis of a Heterogeneous Atomistic-Continuum System. ICCS (4) (2022)
Le Zhang, Ryutaro Tanno, Kevin Bronik, Chen Jin, Parashkev Nachev, Frederik Barkhof, Olga Ciccarelli, Daniel C. Alexander
Learning to Segment When Experts Disagree. MICCAI (1) (2020)
John Ashburner, Mikael Brudfors, Kevin Bronik, Yaël Balbastre
An algorithm for learning shape and appearance models without annotations. Medical Image Anal. 55 (2019)
Yaël Balbastre, Mikael Brudfors, Kevin Bronik, John Ashburner
Diffeomorphic Brain Shape Modelling Using Gauss-Newton Optimisation. MICCAI (1) (2018)
Yaël Balbastre, Mikael Brudfors, Kevin Bronik, John Ashburner
Diffeomorphic brain shape modelling using Gauss-Newton optimisation. CoRR (2018)
John Ashburner, Mikael Brudfors, Kevin Bronik, Yaël Balbastre
An Algorithm for Learning Shape and Appearance Models without Annotations. CoRR (2018)