Mikael Brudfors

According to our database, Mikael Brudfors authored at least 22 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Automated Surgical Skill Assessment in Endoscopic Pituitary Surgery using Real-time Instrument Tracking on a High-fidelity Bench-top Phantom.

Adrito Das, Bilal Sidiqi, Laurent Mennillo, Zhehua Mao, Mikael Brudfors, Miguel Xochicale, Danyal Z. Khan, Nicola Newall, John G. Hanrahan, Matthew J. Clarkson, Danail Stoyanov, Hani J. Marcus, Sophia Bano

CoRR, 2024

Monai for Deep-Learning Based CBCT Reconstruction.

Mikael Brudfors, Mark Graham, Hyungon Ryu, Oliver Kutter

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

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

Alessa Hering, Lasse Hansen, Tony C. W. Mok, Albert C. S. Chung, Hanna Siebert, Stephanie Häger, Annkristin Lange, Sven Kuckertz, Stefan Heldmann, Wei Shao, Sulaiman Vesal, Mirabela Rusu, Geoffrey A. Sonn, Théo Estienne, Maria Vakalopoulou, Luyi Han, Yunzhi Huang, Pew-Thian Yap, Mikael Brudfors, Yaël Balbastre, Samuel Joutard, Marc Modat, Gal Lifshitz, Dan Raviv, Jinxin Lv, Qiang Li, Vincent Jaouen, Dimitris Visvikis, Constance Fourcade, Mathieu Rubeaux, Wentao Pan, Zhe Xu, Bailiang Jian, Francesca De Benetti, Marek Wodzinski, Niklas Gunnarsson, Jens Sjölund, Daniel Grzech, Huaqi Qiu, Zeju Li, Alexander Thorley, Jinming Duan, Christoph Großbröhmer, Andrew Hoopes, Ingerid Reinertsen, Yiming Xiao, Bennett A. Landman, Yuankai Huo, Keelin Murphy, Nikolas Lessmann, Bram van Ginneken, Adrian V. Dalca, Mattias P. Heinrich

IEEE Trans. Medical Imaging, March, 2023

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

Liam F. Chalcroft, Ruben Lourenço Pereira, Mikael Brudfors, Andrew S. Kayser, Mark D'Esposito, Cathy J. Price, Ioannis Pappas, John Ashburner

CoRR, 2023

2022

Fitting Segmentation Networks on Varying Image Resolutions Using Splatting.

Mikael Brudfors, Yaël Balbastre, John Ashburner, Geraint Rees, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso

Proceedings of the Medical Image Understanding and Analysis - 26th Annual Conference, 2022

2021

Model-based multi-parameter mapping.

Yaël Balbastre, Mikael Brudfors, Michela Azzarito, Christian Lambert, Martina F. Callaghan, John Ashburner

Medical Image Anal., 2021

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

Alessa Hering, Lasse Hansen, Tony C. W. Mok, Albert C. S. Chung, Hanna Siebert, Stephanie Häger, Annkristin Lange, Sven Kuckertz, Stefan Heldmann, Wei Shao, Sulaiman Vesal, Mirabela Rusu, Geoffrey A. Sonn, Théo Estienne, Maria Vakalopoulou, Luyi Han, Yunzhi Huang, Mikael Brudfors, Yaël Balbastre, Samuel Joutard, Marc Modat, Gal Lifshitz, Dan Raviv, Jinxin Lv, Qiang Li, Vincent Jaouen, Dimitris Visvikis, Constance Fourcade, Mathieu Rubeaux, Wentao Pan, Zhe Xu, Bailiang Jian, Francesca De Benetti, Marek Wodzinski, Niklas Gunnarsson, Huaqi Qiu, Zeju Li, Christoph Großbröhmer, Andrew Hoopes, Ingerid Reinertsen, Yiming Xiao, Bennett A. Landman, Yuankai Huo, Keelin Murphy, Bram van Ginneken, Adrian V. Dalca, Mattias P. Heinrich

CoRR, 2021

Factorisation-based Image Labelling.

Yu Yan, Yaël Balbastre, Mikael Brudfors, John Ashburner

CoRR, 2021

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

Yaël Balbastre, Ali Aghaeifar, Nadège Corbin, Mikael Brudfors, John Ashburner, Martina F. Callaghan

CoRR, 2021

An MRF-UNet Product of Experts for Image Segmentation.

Mikael Brudfors, Yaël Balbastre, John Ashburner, Geraint Rees, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso

Proceedings of the Medical Imaging with Deep Learning, 7-9 July 2021, Lübeck, Germany., 2021

2020

Groupwise Multimodal Image Registration Using Joint Total Variation.

Mikael Brudfors, Yaël Balbastre, John Ashburner

Proceedings of the Medical Image Understanding and Analysis - 24th Annual Conference, 2020

Flexible Bayesian Modelling for Nonlinear Image Registration.

Mikael Brudfors, Yaël Balbastre, Guillaume Flandin, Parashkev Nachev, John Ashburner

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Joint Total Variation ESTATICS for Robust Multi-parameter Mapping.

Yaël Balbastre, Mikael Brudfors, Michela Azzarito, Christian Lambert, Martina F. Callaghan, John Ashburner

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2019

An algorithm for learning shape and appearance models without annotations.

John Ashburner, Mikael Brudfors, Kevin Bronik, Yaël Balbastre

Medical Image Anal., 2019

A Tool for Super-Resolving Multimodal Clinical MRI.

Mikael Brudfors, Yaël Balbastre, Parashkev Nachev, John Ashburner

CoRR, 2019

ABCD Neurocognitive Prediction Challenge 2019: Predicting Individual Residual Fluid Intelligence Scores from Cortical Grey Matter Morphology.

Neil P. Oxtoby, Fabio S. Ferreira, Ágoston Mihalik, Tong Wu, Mikael Brudfors, Hongxiang Lin, Anita Rau, Stefano B. Blumberg, Maria Robu, Cemre Zor, Maira Tariq, Mar Estarellas Garcia, Baris Kanber, Daniil I. Nikitichev, Janaina Mourão Miranda

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.

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

Proceedings of the Adolescent Brain Cognitive Development Neurocognitive Prediction, 2019

Empirical Bayesian Mixture Models for Medical Image Translation.

Mikael Brudfors, John Ashburner, Parashkev Nachev, Yaël Balbastre

Proceedings of the Simulation and Synthesis in Medical Imaging, 2019

Nonlinear Markov Random Fields Learned via Backpropagation.

Mikael Brudfors, Yaël Balbastre, John Ashburner

Proceedings of the Information Processing in Medical Imaging, 2019

2018

MRI Super-Resolution Using Multi-channel Total Variation.

Mikael Brudfors, Yaël Balbastre, Parashkev Nachev, John Ashburner

Proceedings of the Medical Image Understanding and Analysis - 22nd Conference, 2018

Diffeomorphic Brain Shape Modelling Using Gauss-Newton Optimisation.

Yaël Balbastre, Mikael Brudfors, Kevin Bronik, John Ashburner

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.

Mikael Brudfors, Alexander Seitel, Abtin Rasoulian, Andras Lasso, Victoria A. Lessoway, Jill Osborn, Atsuto Maki, Robert N. Rohling, Purang Abolmaesumi

Int. J. Comput. Assist. Radiol. Surg., 2015