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)

Diffeomorphic Brain Shape Modelling Using Gauss-Newton Optimisation. - Yaël Balbastre; Mikael Brudfors; Kevin Bronik; John Ashburner (MICCAI (1), 2018)

MRI Super-Resolution Using Multi-channel Total Variation. - Mikael Brudfors; Yaël Balbastre; Parashkev Nachev; John Ashburner (MIUA, 2018)

Nonlinear Markov Random Fields Learned via Backpropagation. - Mikael Brudfors; Yaël Balbastre; John Ashburner (IPMI, 2019)

Empirical Bayesian Mixture Models for Medical Image Translation. - Mikael Brudfors; John Ashburner; Parashkev Nachev; Yaël Balbastre (SASHIMI@MICCAI, 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; et al. (ABCD-NP@MICCAI, 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; et al. (ABCD-NP@MICCAI, 2019)

A Tool for Super-Resolving Multimodal Clinical MRI. - Mikael Brudfors; Yaël Balbastre; Parashkev Nachev; John Ashburner (CoRR, 2019)

An algorithm for learning shape and appearance models without annotations. - John Ashburner; Mikael Brudfors; Kevin Bronik; Yaël Balbastre (Medical Image Anal., 2019)

Joint Total Variation ESTATICS for Robust Multi-parameter Mapping. - Yaël Balbastre; Mikael Brudfors; Michela Azzarito; Christian Lambert; Martina F. Callaghan; John Ashburner (MICCAI (2), 2020)

Flexible Bayesian Modelling for Nonlinear Image Registration. - Mikael Brudfors; Yaël Balbastre; Guillaume Flandin; Parashkev Nachev; John Ashburner (MICCAI (3), 2020)

Groupwise Multimodal Image Registration Using Joint Total Variation. - Mikael Brudfors; Yaël Balbastre; John Ashburner (MIUA, 2020)

An MRF-UNet Product of Experts for Image Segmentation. - Mikael Brudfors; Yaël Balbastre; John Ashburner; Geraint Rees 001; Parashkev Nachev; Sébastien Ourselin; M. Jorge Cardoso (MIDL, 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)

Factorisation-based Image Labelling. - Yu Yan; Yaël Balbastre; Mikael Brudfors; John Ashburner (CoRR, 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 008; Sulaiman Vesal; Mirabela Rusu; et al. (CoRR, 2021)

Model-based multi-parameter mapping. - Yaël Balbastre; Mikael Brudfors; Michela Azzarito; Christian Lambert; Martina F. Callaghan; John Ashburner (Medical Image Anal., 2021)

Fitting Segmentation Networks on Varying Image Resolutions Using Splatting. - Mikael Brudfors; Yaël Balbastre; John Ashburner; Geraint Rees 001; Parashkev Nachev; Sébastien Ourselin; M. Jorge Cardoso (MIUA, 2022)

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)

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 008; Sulaiman Vesal; Mirabela Rusu; et al. (IEEE Trans. Medical Imaging, 2023)

Monai for Deep-Learning Based CBCT Reconstruction. - Mikael Brudfors; Mark Graham; Hyungon Ryu; Oliver Kutter (ICASSP Workshops, 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; et al. (CoRR, 2024)

SPM 25: open source neuroimaging analysis software. - Tim M. Tierney; Nicholas Alexander; John Ashburner; Nicole Labra Avila; Yaël Balbastre; Gareth R. Barnes; Yulia Bezsudnova; Mikael Brudfors; Korbinian Eckstein; Guillaume Flandin; Karl J. Friston; Amirhossein Jafarian; et al. (J. Open Source Softw., 2025)