Yaël Balbastre

ORCID

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 38

Top Venues

University of Paris-Saclay, France (PHD)

Education History

University of Paris-Saclay, France

PHD

Publications

Etienne Chollet, Yaël Balbastre, Chiara Mauri, Caroline Magnain, Bruce Fischl, Hui Wang
Neurovascular Segmentation in sOCT with Deep Learning and Synthetic Training Data. CoRR (2024)
Etienne Chollet, Yaël Balbastre, Caroline Magnain, Bruce Fischl, Hui Wang
A label-free and data-free training strategy for vasculature segmentation in serial sectioning OCT data. CoRR (2024)
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
Diffeomorphic Multi-Resolution Deep Learning Registration for Applications in Breast MRI. CoRR (2023)
Sean I. Young, Yaël Balbastre, Bruce Fischl, Polina Golland, Juan Eugenio Iglesias
Fully Convolutional Slice-to-Volume Reconstruction for Single-Stack MRI. CoRR (2023)
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
Learn2Reg: Comprehensive Multi-Task Medical Image Registration Challenge, Dataset and Evaluation in the Era of Deep Learning. IEEE Trans. Medical Imaging 42 (3) (2023)
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
Volumetric Characterization of Microvasculature in Ex Vivo Human Brain Samples By Serial Sectioning Optical Coherence Tomography. IEEE Trans. Biomed. Eng. 69 (12) (2022)
Sean I. Young, Yaël Balbastre, Adrian V. Dalca, William M. Wells III, Juan Eugenio Iglesias, Bruce Fischl
SuperWarp: Supervised Learning and Warping on U-Net for Invariant Subvoxel-Precise Registration. WBIR (2022)
Mikael Brudfors, Yaël Balbastre, John Ashburner, Geraint Rees, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
Fitting Segmentation Networks on Varying Image Resolutions Using Splatting. MIUA (2022)
Mikael Brudfors, Yaël Balbastre, John Ashburner, Geraint Rees, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
Fitting Segmentation Networks on Varying Image Resolutions using Splatting. CoRR (2022)
Sean I. Young, Yaël Balbastre, Adrian V. Dalca, William M. Wells III, Juan Eugenio Iglesias, Bruce Fischl
SuperWarp: Supervised Learning and Warping on U-Net for Invariant Subvoxel-Precise Registration. CoRR (2022)
Mikael Brudfors, Yaël Balbastre, John Ashburner, Geraint Rees, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
An MRF-UNet Product of Experts for Image Segmentation. CoRR (2021)
Yaël Balbastre, Mikael Brudfors, Michela Azzarito, Christian Lambert, Martina F. Callaghan, John Ashburner
Model-based multi-parameter mapping. Medical Image Anal. 73 (2021)
Juan Eugenio Iglesias, Benjamin Billot, Yaël Balbastre, Azadeh Tabari, John Conklin, R. Gilberto González, Daniel C. Alexander, Polina Golland, Brian L. Edlow, Bruce Fischl
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 237 (2021)
Yaël Balbastre, Ali Aghaeifar, Nadège Corbin, Mikael Brudfors, John Ashburner, Martina F. Callaghan
Correcting inter-scan motion artefacts in quantitative R1 mapping at 7T. CoRR (2021)
Yaël Balbastre, Mikael Brudfors, Michela Azzarito, Christian Lambert, Martina F. Callaghan, John Ashburner
Model-based multi-parameter mapping. CoRR (2021)
Yu Yan, Yaël Balbastre, Mikael Brudfors, John Ashburner
Factorisation-based Image Labelling. CoRR (2021)
Mikael Brudfors, Yaël Balbastre, John Ashburner, Geraint Rees, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
An MRF-UNet Product of Experts for Image Segmentation. MIDL (2021)
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
Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning. CoRR (2021)
Yaël Balbastre, Mikael Brudfors, Michela Azzarito, Christian Lambert, Martina F. Callaghan, John Ashburner
Joint Total Variation ESTATICS for Robust Multi-parameter Mapping. MICCAI (2) (2020)
Mikael Brudfors, Yaël Balbastre, Guillaume Flandin, Parashkev Nachev, John Ashburner
Flexible Bayesian Modelling for Nonlinear Image Registration. MICCAI (3) (2020)
Mikael Brudfors, Yaël Balbastre, Guillaume Flandin, Parashkev Nachev, John Ashburner
Flexible Bayesian Modelling for Nonlinear Image Registration. CoRR (2020)
Yaël Balbastre, Mikael Brudfors, Michela Azzarito, Christian Lambert, Martina F. Callaghan, John Ashburner
Joint Total Variation ESTATICS for Robust Multi-Parameter Mapping. CoRR (2020)
Mikael Brudfors, Yaël Balbastre, John Ashburner
Groupwise Multimodal Image Registration using Joint Total Variation. CoRR (2020)
Mikael Brudfors, Yaël Balbastre, John Ashburner
Groupwise Multimodal Image Registration Using Joint Total Variation. MIUA (2020)
Juan Eugenio Iglesias, Benjamin Billot, Yaël Balbastre, Azadeh Tabari, John Conklin, Daniel C. Alexander, Polina Golland, Brian L. Edlow, Bruce Fischl
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 (2020)
Mikael Brudfors, John Ashburner, Parashkev Nachev, Yaël Balbastre
Empirical Bayesian Mixture Models for Medical Image Translation. CoRR (2019)
John Ashburner, Mikael Brudfors, Kevin Bronik, Yaël Balbastre
An algorithm for learning shape and appearance models without annotations. Medical Image Anal. 55 (2019)
Mikael Brudfors, John Ashburner, Parashkev Nachev, Yaël Balbastre
Empirical Bayesian Mixture Models for Medical Image Translation. SASHIMI@MICCAI (2019)
Mikael Brudfors, Yaël Balbastre, Parashkev Nachev, John Ashburner
A Tool for Super-Resolving Multimodal Clinical MRI. CoRR (2019)
Mikael Brudfors, Yaël Balbastre, John Ashburner
Nonlinear Markov Random Fields Learned via Backpropagation. CoRR (2019)
Mikael Brudfors, Yaël Balbastre, John Ashburner
Nonlinear Markov Random Fields Learned via Backpropagation. IPMI (2019)
Yaël Balbastre, Mikael Brudfors, Kevin Bronik, John Ashburner
Diffeomorphic Brain Shape Modelling Using Gauss-Newton Optimisation. MICCAI (1) (2018)
Mikael Brudfors, Yaël Balbastre, Parashkev Nachev, John Ashburner
MRI Super-Resolution Using Multi-channel Total Variation. MIUA (2018)
Yaël Balbastre, Mikael Brudfors, Kevin Bronik, John Ashburner
Diffeomorphic brain shape modelling using Gauss-Newton optimisation. CoRR (2018)
John Ashburner, Mikael Brudfors, Kevin Bronik, Yaël Balbastre
An Algorithm for Learning Shape and Appearance Models without Annotations. CoRR (2018)
Mikael Brudfors, Yaël Balbastre, Parashkev Nachev, John Ashburner
MRI Super-Resolution using Multi-Channel Total Variation. CoRR (2018)
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
Primatologist: A modular segmentation pipeline for macaque brain morphometry. NeuroImage 162 (2017)
Zhenzhen You, Michel E. Vandenberghe, Yaël Balbastre, Nicolas Souedet, Philippe Hantraye, Caroline Jan, Anne-Sophie Hérard, Thierry Delzescaux
Automated cell individualization and counting in cerebral microscopic images. ICIP (2016)
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
A Quantitative Approach to Characterize MR Contrasts with Histology. Brainles@MICCAI (2015)
Michel E. Vandenberghe, Yaël Balbastre, Nicolas Souedet, Anne-Sophie Hérard, Marc Dhenain, Frédérique Frouin, Thierry Delzescaux
Robust supervised segmentation of neuropathology whole-slide microscopy images. EMBC (2015)

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Publication Activity (10 Years)

Top Topics

Top Venues

Yaël Balbastre