Mikael Brudfors

35 papers Journal 23Unranked 12

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Learn2Reg 2024: New Benchmark Datasets Driving Progress on New Challenges. CoRR Lasse Hansen, Wiebke Heyer, Christoph Großbröhmer, Frederic Madesta, Thilo Sentker, Jiazheng Wang, Yuxi Zhang, Hang Zhang, Min Liu, Junyi Wang, Xi Zhu, Yuhua Li, Liwen Wang, Daniil Morozov, Nazim Haouchine, Joel Honkamaa, Pekka Marttinen, Yichao Zhou, Zuopeng Tan, Zhuoyuan Wang, Yi Wang, Hongchao Zhou, Shunbo Hu, Yi Zhang, Qian Tao, Lukas Förner, Thomas Wendler, Bailiang Jian, Christian Wachinger, Jin Kim, Dan Ruan, Marek Wodzinski, Henning Müller, Tony C. W. Mok, Xi Jia, Jinming Duan, Mikael Brudfors, Seyed-Ahmad Ahmadi, Yunzheng Zhu, William Hsu, Tina Kapur, William M. Wells, Alexandra J. Golby, Aaron Carass, Harrison X. Bai, Yihao Liu, Perrine Paul-Gilloteaux, Joakim Lindblad, Natasa Sladoje, Andreas Walter, Junyu Chen, Reuben Dorent, Alessa Hering, Mattias P. Heinrich
2025	J	`jnl`	SPM 25: open source neuroimaging analysis software. J. Open Source Softw. 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, Olivia S. Kowalczyk, Vladimir Litvak, Johan Medrano, Stephanie Mellor, George C. O'Neill, Thomas Parr, Adeel Razi, Ryan C. Timms, Peter Zeidman
2024	J	`jnl`	Automated Surgical Skill Assessment in Endoscopic Pituitary Surgery using Real-time Instrument Tracking on a High-fidelity Bench-top Phantom. CoRR 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
2024	—	`conf`	Monai for Deep-Learning Based CBCT Reconstruction. ICASSP Workshops Mikael Brudfors, Mark Graham, Hyungon Ryu, Oliver Kutter
2023	J	`jnl`	Large-kernel Attention for Efficient and Robust Brain Lesion Segmentation. CoRR Liam F. Chalcroft, Ruben Lourenço Pereira, Mikael Brudfors, Andrew S. Kayser, Mark D'Esposito, Cathy J. Price, Ioannis Pappas, John Ashburner
2023	J	`jnl`	Learn2Reg: Comprehensive Multi-Task Medical Image Registration Challenge, Dataset and Evaluation in the Era of Deep Learning. IEEE Trans. Medical Imaging 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
2022	—	`conf`	Fitting Segmentation Networks on Varying Image Resolutions Using Splatting. MIUA Mikael Brudfors, Yaël Balbastre, John Ashburner, Geraint Rees, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
2022	J	`jnl`	Fitting Segmentation Networks on Varying Image Resolutions using Splatting. CoRR Mikael Brudfors, Yaël Balbastre, John Ashburner, Geraint Rees, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
2021	—	`conf`	An MRF-UNet Product of Experts for Image Segmentation. MIDL Mikael Brudfors, Yaël Balbastre, John Ashburner, Geraint Rees, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
2021	J	`jnl`	An MRF-UNet Product of Experts for Image Segmentation. CoRR Mikael Brudfors, Yaël Balbastre, John Ashburner, Geraint Rees, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
2021	J	`jnl`	Correcting inter-scan motion artefacts in quantitative R1 mapping at 7T. CoRR Yaël Balbastre, Ali Aghaeifar, Nadège Corbin, Mikael Brudfors, John Ashburner, Martina F. Callaghan
2021	J	`jnl`	Factorisation-based Image Labelling. CoRR Yu Yan, Yaël Balbastre, Mikael Brudfors, John Ashburner
2021	J	`jnl`	Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning. CoRR 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
2021	J	`jnl`	Model-based multi-parameter mapping. CoRR Yaël Balbastre, Mikael Brudfors, Michela Azzarito, Christian Lambert, Martina F. Callaghan, John Ashburner
2021	J	`jnl`	Model-based multi-parameter mapping. Medical Image Anal. Yaël Balbastre, Mikael Brudfors, Michela Azzarito, Christian Lambert, Martina F. Callaghan, John Ashburner
2020	—	`conf`	Flexible Bayesian Modelling for Nonlinear Image Registration. MICCAI (3) Mikael Brudfors, Yaël Balbastre, Guillaume Flandin, Parashkev Nachev, John Ashburner
2020	J	`jnl`	Flexible Bayesian Modelling for Nonlinear Image Registration. CoRR Mikael Brudfors, Yaël Balbastre, Guillaume Flandin, Parashkev Nachev, John Ashburner
2020	—	`conf`	Groupwise Multimodal Image Registration Using Joint Total Variation. MIUA Mikael Brudfors, Yaël Balbastre, John Ashburner
2020	J	`jnl`	Groupwise Multimodal Image Registration using Joint Total Variation. CoRR Mikael Brudfors, Yaël Balbastre, John Ashburner
2020	J	`jnl`	Joint Total Variation ESTATICS for Robust Multi-Parameter Mapping. CoRR Yaël Balbastre, Mikael Brudfors, Michela Azzarito, Christian Lambert, Martina F. Callaghan, John Ashburner
2020	—	`conf`	Joint Total Variation ESTATICS for Robust Multi-parameter Mapping. MICCAI (2) Yaël Balbastre, Mikael Brudfors, Michela Azzarito, Christian Lambert, Martina F. Callaghan, John Ashburner
2019	J	`jnl`	A Tool for Super-Resolving Multimodal Clinical MRI. CoRR Mikael Brudfors, Yaël Balbastre, Parashkev Nachev, John Ashburner
2019	—	`conf`	ABCD Neurocognitive Prediction Challenge 2019: Predicting Individual Fluid Intelligence Scores from Structural MRI Using Probabilistic Segmentation and Kernel Ridge Regression. ABCD-NP@MICCAI 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	—	`conf`	ABCD Neurocognitive Prediction Challenge 2019: Predicting Individual Residual Fluid Intelligence Scores from Cortical Grey Matter Morphology. ABCD-NP@MICCAI 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
2019	J	`jnl`	An algorithm for learning shape and appearance models without annotations. Medical Image Anal. John Ashburner, Mikael Brudfors, Kevin Bronik, Yaël Balbastre
2019	—	`conf`	Empirical Bayesian Mixture Models for Medical Image Translation. SASHIMI@MICCAI Mikael Brudfors, John Ashburner, Parashkev Nachev, Yaël Balbastre
2019	J	`jnl`	Empirical Bayesian Mixture Models for Medical Image Translation. CoRR Mikael Brudfors, John Ashburner, Parashkev Nachev, Yaël Balbastre
2019	—	`conf`	Nonlinear Markov Random Fields Learned via Backpropagation. IPMI Mikael Brudfors, Yaël Balbastre, John Ashburner
2019	J	`jnl`	Nonlinear Markov Random Fields Learned via Backpropagation. CoRR Mikael Brudfors, Yaël Balbastre, John Ashburner
2018	J	`jnl`	An Algorithm for Learning Shape and Appearance Models without Annotations. CoRR John Ashburner, Mikael Brudfors, Kevin Bronik, Yaël Balbastre
2018	—	`conf`	Diffeomorphic Brain Shape Modelling Using Gauss-Newton Optimisation. MICCAI (1) Yaël Balbastre, Mikael Brudfors, Kevin Bronik, John Ashburner
2018	J	`jnl`	Diffeomorphic brain shape modelling using Gauss-Newton optimisation. CoRR Yaël Balbastre, Mikael Brudfors, Kevin Bronik, John Ashburner
2018	—	`conf`	MRI Super-Resolution Using Multi-channel Total Variation. MIUA Mikael Brudfors, Yaël Balbastre, Parashkev Nachev, John Ashburner
2018	J	`jnl`	MRI Super-Resolution using Multi-Channel Total Variation. CoRR Mikael Brudfors, Yaël Balbastre, Parashkev Nachev, John Ashburner
2015	J	`jnl`	Towards real-time, tracker-less 3D ultrasound guidance for spine anaesthesia. Int. J. Comput. Assist. Radiol. Surg. Mikael Brudfors, Alexander Seitel, Abtin Rasoulian, Andras Lasso, Victoria A. Lessoway, Jill Osborn, Atsuto Maki, Robert N. Rohling, Purang Abolmaesumi