Kevin Bronik

14 papers Journal 10Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
DiffuSeg: Domain-Driven Diffusion for Medical Image Segmentation.
IEEE J. Biomed. Health Informatics
Le Zhang, Fuping Wu, Kevin Bronik, Bartlomiej W. Papiez
2025 — conf
Emerging Semantic Segmentation from Positive and Negative Coarse Label Learning.
MLMI@MICCAI
Le Zhang, Fuping Wu, Arun J. Thirunavukarasu, Kevin Bronik, Thomas E. Nichols, Bartlomiej W. Papiez
2025 J jnl
Emerging Semantic Segmentation from Positive and Negative Coarse Label Learning.
CoRR
Le Zhang, Fuping Wu, Arun J. Thirunavukarasu, Kevin Bronik, Thomas E. Nichols, Bartlomiej W. Papiez
2024 J jnl
Automatic Plane Pose Estimation for Cardiac Left Ventricle Coverage Estimation via Deep Adversarial Regression Network.
IEEE Trans. Artif. Intell.
Le Zhang, Kevin Bronik, Stefan K. Piechnik, Joao A. C. Lima, Stefan Neubauer, Steffen E. Petersen, Alejandro F. Frangi
2024 J jnl
Conditional advancement of machine learning algorithm via fuzzy neural network.
Pattern Recognit.
Kevin Bronik, Le Zhang
2023 J jnl
FabSim3: An automation toolkit for verified simulations using high performance computing.
Comput. Phys. Commun.
Derek Groen, Hamid Arabnejad, Diana Suleimenova, Wouter Edeling, Erwan Raffin, Yani Xue, Kevin Bronik, Nicolas Monnier, Peter V. Coveney
2023 J jnl
Learning from multiple annotators for medical image segmentation.
Pattern Recognit.
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
2023 J jnl
Learning to restore multiple image degradations simultaneously.
Pattern Recognit.
Le Zhang, Kevin Bronik, Bartlomiej W. Papiez
2022 — conf
Automated Variance-Based Sensitivity Analysis of a Heterogeneous Atomistic-Continuum System.
ICCS (4)
Kevin Bronik, Werner Muller Roa, Maxime Vassaux, Wouter Edeling, Peter V. Coveney
2020 — conf
Learning to Segment When Experts Disagree.
MICCAI (1)
Le Zhang, Ryutaro Tanno, Kevin Bronik, Chen Jin, Parashkev Nachev, Frederik Barkhof, Olga Ciccarelli, Daniel C. Alexander
2019 J jnl
An algorithm for learning shape and appearance models without annotations.
Medical Image Anal.
John Ashburner, Mikael Brudfors, Kevin Bronik, Yaël Balbastre
2018 J jnl
An Algorithm for Learning Shape and Appearance Models without Annotations.
CoRR
John Ashburner, Mikael Brudfors, Kevin Bronik, Yaël Balbastre
2018 — conf
Diffeomorphic Brain Shape Modelling Using Gauss-Newton Optimisation.
MICCAI (1)
Yaël Balbastre, Mikael Brudfors, Kevin Bronik, John Ashburner
2018 J jnl
Diffeomorphic brain shape modelling using Gauss-Newton optimisation.
CoRR
Yaël Balbastre, Mikael Brudfors, Kevin Bronik, John Ashburner