Mikael Brudfors

Orcid: 0000-0002-2884-2336

According to our database1, Mikael Brudfors authored at least 20 papers between 2015 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Learn2Reg: Comprehensive Multi-Task Medical Image Registration Challenge, Dataset and Evaluation in the Era of Deep Learning.
IEEE Trans. Medical Imaging, March, 2023

Large-kernel Attention for Efficient and Robust Brain Lesion Segmentation.
CoRR, 2023

2022
Fitting Segmentation Networks on Varying Image Resolutions Using Splatting.
Proceedings of the Medical Image Understanding and Analysis - 26th Annual Conference, 2022

2021
Model-based multi-parameter mapping.
Medical Image Anal., 2021

Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning.
CoRR, 2021

Factorisation-based Image Labelling.
CoRR, 2021

Correcting inter-scan motion artefacts in quantitative R1 mapping at 7T.
CoRR, 2021

An MRF-UNet Product of Experts for Image Segmentation.
Proceedings of the Medical Imaging with Deep Learning, 7-9 July 2021, Lübeck, Germany., 2021

2020
Groupwise Multimodal Image Registration Using Joint Total Variation.
Proceedings of the Medical Image Understanding and Analysis - 24th Annual Conference, 2020

Flexible Bayesian Modelling for Nonlinear Image Registration.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Joint Total Variation ESTATICS for Robust Multi-parameter Mapping.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2019
An algorithm for learning shape and appearance models without annotations.
Medical Image Anal., 2019

A Tool for Super-Resolving Multimodal Clinical MRI.
CoRR, 2019

ABCD Neurocognitive Prediction Challenge 2019: Predicting Individual Residual Fluid Intelligence Scores from Cortical Grey Matter Morphology.
Proceedings of the Adolescent Brain Cognitive Development Neurocognitive Prediction, 2019

ABCD Neurocognitive Prediction Challenge 2019: Predicting Individual Fluid Intelligence Scores from Structural MRI Using Probabilistic Segmentation and Kernel Ridge Regression.
Proceedings of the Adolescent Brain Cognitive Development Neurocognitive Prediction, 2019

Empirical Bayesian Mixture Models for Medical Image Translation.
Proceedings of the Simulation and Synthesis in Medical Imaging, 2019

Nonlinear Markov Random Fields Learned via Backpropagation.
Proceedings of the Information Processing in Medical Imaging, 2019

2018
MRI Super-Resolution Using Multi-channel Total Variation.
Proceedings of the Medical Image Understanding and Analysis - 22nd Conference, 2018

Diffeomorphic Brain Shape Modelling Using Gauss-Newton Optimisation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

2015
Towards real-time, tracker-less 3D ultrasound guidance for spine anaesthesia.
Int. J. Comput. Assist. Radiol. Surg., 2015


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