Yaël Balbastre

47 papers A* 2B 1Journal 30Unranked 13

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Fully Automated Segmentation of Fiber Bundles in Anatomic Tracing Data. CDMRI@MICCAI Kyriaki-Margarita Bintsi, Yaël Balbastre, Jingjing Wu, Julia F. Lehman, Suzanne N. Haber, Anastasia Yendiki
2025	J	`jnl`	Fully Automated Segmentation of Fiber Bundles in Anatomic Tracing Data. CoRR Kyriaki-Margarita Bintsi, Yaël Balbastre, Jingjing Wu, Julia F. Lehman, Suzanne N. Haber, Anastasia Yendiki
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
2025	A*	`conf`	Schwarz-Schur Involution: Lightspeed Differentiable Sparse Linear Solvers. ICML Yu Wang, S. Mazdak Abulnaga, Yaël Balbastre, Bruce Fischl
2024	J	`jnl`	A label-free and data-free training strategy for vasculature segmentation in serial sectioning OCT data. CoRR Etienne Chollet, Yaël Balbastre, Caroline Magnain, Bruce Fischl, Hui Wang
2024	A*	`conf`	Fully Convolutional Slice-to-Volume Reconstruction for Single-Stack MRI. CVPR Sean I. Young, Yaël Balbastre, Bruce Fischl, Polina Golland, Juan Eugenio Iglesias
2024	J	`jnl`	Learn2Synth: Learning Optimal Data Synthesis Using Hypergradients. CoRR Xiaoling Hu, Oula Puonti, Juan Eugenio Iglesias, Bruce Fischl, Yaël Balbastre
2024	J	`jnl`	Neurovascular Segmentation in sOCT with Deep Learning and Synthetic Training Data. CoRR Etienne Chollet, Yaël Balbastre, Chiara Mauri, Caroline Magnain, Bruce Fischl, Hui Wang
2023	J	`jnl`	Diffeomorphic Multi-Resolution Deep Learning Registration for Applications in Breast MRI. CoRR Matthew G. French, Gonzalo D. Maso Talou, Thiranja P. Babarenda Gamage, Martyn P. Nash, Poul M. F. Nielsen, Anthony J. Doyle, Juan Eugenio Iglesias, Yaël Balbastre, Sean I. Young
2023	J	`jnl`	Fully Convolutional Slice-to-Volume Reconstruction for Single-Stack MRI. CoRR Sean I. Young, Yaël Balbastre, Bruce Fischl, Polina Golland, Juan Eugenio Iglesias
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
2022	—	`conf`	SuperWarp: Supervised Learning and Warping on U-Net for Invariant Subvoxel-Precise Registration. WBIR Sean I. Young, Yaël Balbastre, Adrian V. Dalca, William M. Wells III, Juan Eugenio Iglesias, Bruce Fischl
2022	J	`jnl`	SuperWarp: Supervised Learning and Warping on U-Net for Invariant Subvoxel-Precise Registration. CoRR Sean I. Young, Yaël Balbastre, Adrian V. Dalca, William M. Wells III, Juan Eugenio Iglesias, Bruce Fischl
2022	J	`jnl`	Volumetric Characterization of Microvasculature in Ex Vivo Human Brain Samples By Serial Sectioning Optical Coherence Tomography. IEEE Trans. Biomed. Eng. Jiarui Yang, Shuaibin Chang, Ichun Anderson Chen, Sreekanth Kura, Grace A. Rosen, Nicole A. Saltiel, Bertrand R. Huber, Divya Varadarajan, Yaël Balbastre, Caroline Magnain, Shih-Chi Chen, Bruce Fischl, Ann C. McKee, David A. Boas, Hui Wang
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`	Joint super-resolution and synthesis of 1 mm isotropic MP-RAGE volumes from clinical MRI exams with scans of different orientation, resolution and contrast. NeuroImage Juan Eugenio Iglesias, Benjamin Billot, Yaël Balbastre, Azadeh Tabari, John Conklin, R. Gilberto González, Daniel C. Alexander, Polina Golland, Brian L. Edlow, Bruce Fischl
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
2020	J	`jnl`	Joint super-resolution and synthesis of 1 mm isotropic MP-RAGE volumes from clinical MRI exams with scans of different orientation, resolution and contrast. CoRR Juan Eugenio Iglesias, Benjamin Billot, Yaël Balbastre, Azadeh Tabari, John Conklin, Daniel C. Alexander, Polina Golland, Brian L. Edlow, Bruce Fischl
2019	J	`jnl`	A Tool for Super-Resolving Multimodal Clinical MRI. CoRR Mikael Brudfors, Yaël Balbastre, Parashkev Nachev, John Ashburner
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
2017	J	`jnl`	Primatologist: A modular segmentation pipeline for macaque brain morphometry. NeuroImage Yaël Balbastre, Denis Rivière, Nicolas Souedet, Clara Fischer, Anne-Sophie Hérard, Susannah Williams, Michel E. Vandenberghe, Julien Flament, Romina Aron-Badin, Philippe Hantraye, Jean-François Mangin, Thierry Delzescaux
2016	B	`conf`	Automated cell individualization and counting in cerebral microscopic images. ICIP Zhenzhen You, Michel E. Vandenberghe, Yaël Balbastre, Nicolas Souedet, Philippe Hantraye, Caroline Jan, Anne-Sophie Hérard, Thierry Delzescaux
2016	—	`—`	Développement et validation d'outils pour l'analyse morphologique du cerveau de Macaque. (Morphometry Analysis Tools for the Macaque Brain : Development and Validation). Yaël Balbastre
2015	—	`conf`	A Quantitative Approach to Characterize MR Contrasts with Histology. Brainles@MICCAI Yaël Balbastre, Michel E. Vandenberghe, Anne-Sophie Hérard, Pauline Gipchtein, Caroline Jan, Anselme L. Perrier, Philippe Hantraye, Romina Aron-Badin, Jean-François Mangin, Thierry Delzescaux
2015	—	`conf`	Robust supervised segmentation of neuropathology whole-slide microscopy images. EMBC Michel E. Vandenberghe, Yaël Balbastre, Nicolas Souedet, Anne-Sophie Hérard, Marc Dhenain, Frédérique Frouin, Thierry Delzescaux