Mikael Brudfors

Postdoc, King's College London

Joined

February 2021

Names

Mikael Brudfors (Preferred)

Emails

****@kcl.ac.uk (Confirmed)

Personal Links

Homepage

DBLP

Career & Education History

Postdoc

King's College London (kcl.ac.uk)

2019 – Present

Advisors, Relations & Conflicts

No relations added

Expertise

No areas of expertise listed

Publications

Fitting Segmentation Networks on Varying Image Resolutions using Splatting
Mikael Brudfors, Yaël Balbastre, John Ashburner, Geraint Rees, Parashkev Nachev, Sebastien Ourselin, M. Jorge Cardoso
- 10 Dec 2021 (modified: 15 Feb 2026)
- Submitted to MIDL 2022
- Readers: Everyone
An MRF-UNet Product of Experts for Image Segmentation
Mikael Brudfors, Yaël Balbastre, John Ashburner, Geraint Rees, Parashkev Nachev, Sebastien Ourselin, M. Jorge Cardoso
- Published: 31 Mar 2021, Last Modified: 15 Feb 2026
- MIDL 2021
- Readers: Everyone
Model-based multi-parameter mapping
Yaël Balbastre, Mikael Brudfors, Michela Azzarito, Christian Lambert, Martina F. Callaghan, John Ashburner
- 2021 (modified: 30 Oct 2024)
- CoRR 2021
- Readers: Everyone
Joint Total Variation ESTATICS for Robust Multi-Parameter Mapping
Yaël Balbastre, Mikael Brudfors, Michela Azzarito, Christian Lambert, Martina F. Callaghan, John Ashburner
- 2020 (modified: 30 Oct 2024)
- CoRR 2020
- Readers: Everyone
Joint Total Variation ESTATICS for Robust Multi-parameter Mapping
Yaël Balbastre, Mikael Brudfors, Michela Azzarito, Christian Lambert, Martina F. Callaghan, John Ashburner
- 2020 (modified: 30 Oct 2024)
- MICCAI (2) 2020
- Readers: Everyone
Groupwise Multimodal Image Registration Using Joint Total Variation
Mikael Brudfors, Yaël Balbastre, John Ashburner
- 2020 (modified: 30 Oct 2024)
- MIUA 2020
- Readers: Everyone
Flexible Bayesian Modelling for Nonlinear Image Registration
Mikael Brudfors, Yaël Balbastre, Guillaume Flandin, Parashkev Nachev, John Ashburner
- 2020 (modified: 30 Oct 2024)
- MICCAI (3) 2020
- Readers: Everyone
Empirical Bayesian Mixture Models for Medical Image Translation
Mikael Brudfors, John Ashburner, Parashkev Nachev, Yaël Balbastre
- 2019 (modified: 30 Oct 2024)
- SASHIMI@MICCAI 2019
- Readers: Everyone
ABCD Neurocognitive Prediction Challenge 2019: Predicting Individual Fluid Intelligence Scores from Structural MRI Using Probabilistic Segmentation and Kernel Ridge Regression
Ágoston Mihalik, Mikael Brudfors, Maria Robu, Fabio S. Ferreira, Hongxiang Lin, Anita Rau, Tong Wu, Stefano B. Blumberg, Baris Kanber, Maira Tariq, Mar Estarellas Garcia, Cemre Zor, Daniil I. Nikitichev, Janaina Mourão Miranda, Neil P. Oxtoby
- 2019 (modified: 05 Nov 2023)
- ABCD-NP@MICCAI 2019
- Readers: Everyone
Nonlinear Markov Random Fields Learned via Backpropagation
Mikael Brudfors, Yaël Balbastre, John Ashburner
- 2019 (modified: 30 Oct 2024)
- IPMI 2019
- Readers: Everyone

View all 16 publications

Co-Authors

View all 33 co-authors