| Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning A Hering, L Hansen, TCW Mok, ACS Chung, H Siebert, S Häger, A Lange, ... IEEE Transactions on Medical Imaging 42 (3), 697-712, 2022 | 122 | 2022 |
| Outcome after acute ischemic stroke is linked to sex-specific lesion patterns AK Bonkhoff, MD Schirmer, M Bretzner, S Hong, RW Regenhardt, ... Nature communications 12 (1), 3289, 2021 | 50 | 2021 |
| ABCD neurocognitive prediction challenge 2019: Predicting individual fluid intelligence scores from structural MRI using probabilistic segmentation and kernel ridge regression A Mihalik, M Brudfors, M Robu, FS Ferreira, H Lin, A Rau, T Wu, ... Challenge in Adolescent Brain Cognitive Development Neurocognitive …, 2019 | 30 | 2019 |
| Towards real-time, tracker-less 3D ultrasound guidance for spine anaesthesia M Brudfors, A Seitel, A Rasoulian, A Lasso, VA Lessoway, J Osborn, ... International journal of computer assisted radiology and surgery 10, 855-865, 2015 | 29 | 2015 |
| Biomedical image analysis competitions: The state of current participation practice M Eisenmann, A Reinke, V Weru, MD Tizabi, F Isensee, TJ Adler, ... arXiv preprint arXiv:2212.08568, 2022 | 23 | 2022 |
| MRI super-resolution using multi-channel total variation M Brudfors, Y Balbastre, P Nachev, J Ashburner Medical Image Understanding and Analysis: 22nd Conference, MIUA 2018 …, 2018 | 22 | 2018 |
| Flexible Bayesian modelling for nonlinear image registration M Brudfors, Y Balbastre, G Flandin, P Nachev, J Ashburner Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 17 | 2020 |
| Machine phenotyping of cluster headache and its response to verapamil AR Tso, M Brudfors, D Danno, L Grangeon, S Cheema, M Matharu, ... Brain 144 (2), 655-664, 2021 | 12 | 2021 |
| ABCD Neurocognitive Prediction Challenge 2019: Predicting individual residual fluid intelligence scores from cortical grey matter morphology NP Oxtoby, FS Ferreira, A Mihalik, T Wu, M Brudfors, H Lin, A Rau, ... Challenge in Adolescent Brain Cognitive Development Neurocognitive …, 2019 | 11 | 2019 |
| A tool for super-resolving multimodal clinical MRI M Brudfors, Y Balbastre, P Nachev, J Ashburner arXiv preprint arXiv:1909.01140, 2019 | 11 | 2019 |
| An algorithm for learning shape and appearance models without annotations J Ashburner, M Brudfors, K Bronik, Y Balbastre Medical image analysis 55, 197-215, 2019 | 11 | 2019 |
| Nonlinear Markov random fields learned via backpropagation M Brudfors, Y Balbastre, J Ashburner Information Processing in Medical Imaging: 26th International Conference …, 2019 | 10 | 2019 |
| ConoSurf: Open‐source 3D scanning system based on a conoscopic holography device for acquiring surgical surfaces M Brudfors, V García‐Vázquez, B Sesé‐Lucio, E Marinetto, M Desco, ... The International Journal of Medical Robotics and Computer Assisted Surgery …, 2017 | 8 | 2017 |
| MRI-GENIE and GISCOME Investigators and the International Stroke Genetics Consortium AK Bonkhoff, MD Schirmer, M Bretzner, S Hong, RW Regenhardt, ... Outcome after acute ischemic stroke is linked to sexspecific lesion patterns …, 2021 | 6 | 2021 |
| Empirical bayesian mixture models for medical image translation M Brudfors, J Ashburner, P Nachev, Y Balbastre Simulation and Synthesis in Medical Imaging: 4th International Workshop …, 2019 | 6 | 2019 |
| Factorisation-based image labelling Y Yan, Y Balbastre, M Brudfors, J Ashburner Frontiers in Neuroscience 15, 818604, 2022 | 5 | 2022 |
| Model-based multi-parameter mapping Y Balbastre, M Brudfors, M Azzarito, C Lambert, MF Callaghan, ... Medical Image Analysis 73, 102149, 2021 | 5 | 2021 |
| An MRF-UNet product of experts for image segmentation M Brudfors, Y Balbastre, J Ashburner, G Rees, P Nachev, S Ourselin, ... Medical Imaging with Deep Learning, 48-59, 2021 | 5 | 2021 |
| Joint total variation ESTATICS for robust multi-parameter mapping Y Balbastre, M Brudfors, M Azzarito, C Lambert, MF Callaghan, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 5 | 2020 |
| Correcting inter‐scan motion artifacts in quantitative R1 mapping at 7T Y Balbastre, A Aghaeifar, N Corbin, M Brudfors, J Ashburner, ... Magnetic Resonance in Medicine 88 (1), 280-291, 2022 | 4 | 2022 |
John AshburnerProfessor of Imaging Science, Wellcome Centre for Human Neuroimaging, UCL Institute ofVerified email at ucl.ac.uk
