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Journal Articles
- 2024
- [j28]Hamza Kebiri
, Ali Gholipour
Deep learning microstructure estimation of developing brains from diffusion MRI: A newborn and fetal study. Medical Image Anal. 95: 103186 (2024) - [j27]Thomas Sanchez
FetMRQC: A robust quality control system for multi-centric fetal brain MRI. Medical Image Anal. 97: 103282 (2024) - 2023
- [j26]Kelly Payette
Fetal brain tissue annotation and segmentation challenge results. Medical Image Anal. 88: 102833 (2023) - [j25]Cristina Sainz Martinez, Meritxell Bach Cuadra
BigBrain-MR: a new digital phantom with anatomically-realistic magnetic resonance properties at 100-µm resolution for magnetic resonance methods development. NeuroImage 273: 120074 (2023) - [j24]Tommaso Di Noto
Towards Automated Brain Aneurysm Detection in TOF-MRA: Open Data, Weak Labels, and Anatomical Knowledge. Neuroinformatics 21(1): 21-34 (2023) - 2022
- [j23]Sébastien Tourbier
Connectome Mapper 3: A Flexible and Open-Source Pipeline Software for Multiscale Multimodal Human Connectome Mapping. J. Open Source Softw. 7(74): 4248 (2022) - 2021
- [j22]Francesco La Rosa
MPRAGE to MP2RAGE UNI translation via generative adversarial network improves the automatic tissue and lesion segmentation in multiple sclerosis patients. Comput. Biol. Medicine 132: 104297 (2021) - [j21]Thomas Yu, Erick Jorge Canales-Rodríguez
Model-informed machine learning for multi-component T2 relaxometry. Medical Image Anal. 69: 101940 (2021) - 2020
- [j20]Maria Deprez
Higher Order Spherical Harmonics Reconstruction of Fetal Diffusion MRI With Intensity Correction. IEEE Trans. Medical Imaging 39(4): 1104-1113 (2020) - 2017
- [j19]Sébastien Tourbier
Automated template-based brain localization and extraction for fetal brain MRI reconstruction. NeuroImage 155: 460-472 (2017) - 2016
- [j18]Oscar Esteban
Diffantom: Whole-Brain Diffusion MRI Phantoms Derived from Real Datasets of the Human Connectome Project. Frontiers Neuroinformatics 10: 4 (2016) - [j17]Oscar Esteban
Surface-driven registration method for the structure-informed segmentation of diffusion MR images. NeuroImage 139: 450-461 (2016) - 2015
- [j16]Sébastien Tourbier
An efficient total variation algorithm for super-resolution in fetal brain MRI with adaptive regularization. NeuroImage 118: 584-597 (2015) - [j15]Sandro I. De Zanet, Carlos Ciller, Tobias Rudolph, Philippe Maeder, Francis L. Munier, Aubin Balmer, Meritxell Bach Cuadra, Jens Kowal:
Landmark Detection for Fusion of Fundus and MRI Toward a Patient-Specific Multimodal Eye Model. IEEE Trans. Biomed. Eng. 62(2): 532-540 (2015) - 2014
- [j14]Oscar Esteban
MBIS: Multivariate Bayesian Image Segmentation tool. Comput. Methods Programs Biomed. 115(2): 76-94 (2014) - [j13]Sylvia Rueda, Sana Fathima, Caroline L. Knight, Mohammad Yaqub
Evaluation and Comparison of Current Fetal Ultrasound Image Segmentation Methods for Biometric Measurements: A Grand Challenge. IEEE Trans. Medical Imaging 33(4): 797-813 (2014) - 2013
- [j12]Subrahmanyam Gorthi
Weighted Shape-Based Averaging With Neighborhood Prior Model for Multiple Atlas Fusion-Based Medical Image Segmentation. IEEE Signal Process. Lett. 20(11): 1036-1039 (2013) - 2011
- [j11]Mariano Cabezas
A review of atlas-based segmentation for magnetic resonance brain images. Comput. Methods Programs Biomed. 104(3): 158- (2011) - [j10]Subrahmanyam Gorthi
Active deformation fields: Dense deformation field estimation for atlas-based segmentation using the active contour framework. Medical Image Anal. 15(6): 787-800 (2011) - [j9]Alexis Roche
On the convergence of EM-like algorithms for image segmentation using Markov random fields. Medical Image Anal. 15(6): 830-839 (2011) - 2009
- [j8]Rubén Cárdenes, Rodrigo de Luis García
A multidimensional segmentation evaluation for medical image data. Comput. Methods Programs Biomed. 96(2): 108-124 (2009) - [j7]Subrahmanyam Gorthi
Segmentation of Head and Neck Lymph Node Regions for Radiotherapy Planning Using Active Contour-Based Atlas Registration. IEEE J. Sel. Top. Signal Process. 3(1): 135-147 (2009) - 2008
- [j6]Marie Schaer
A Surface-Based Approach to Quantify Local Cortical Gyrification. IEEE Trans. Medical Imaging 27(2): 161-170 (2008) - 2006
- [j5]Meritxell Bach Cuadra
Dense deformation field estimation for atlas-based segmentation of pathological MR brain images. Comput. Methods Programs Biomed. 84(2-3): 66-75 (2006) - [j4]F. Javier Sánchez Castro, Claudio Pollo, Reto Meuli, Philippe Maeder, Olivier Cuisenaire
A Cross Validation Study of Deep Brain Stimulation Targeting: From Experts to Atlas-Based, Segmentation-Based and Automatic Registration Algorithms. IEEE Trans. Medical Imaging 25(11): 1440-1450 (2006) - 2005
- [j3]Claudio Pollo, Meritxell Bach Cuadra
Segmentation of brain structures in presence of a space-occupying lesion. NeuroImage 24(4): 990-996 (2005) - [j2]Meritxell Bach Cuadra, Leila Cammoun, Torsten Butz, Olivier Cuisenaire
Comparison and validation of tissue modelization and statistical classification methods in T1-weighted MR brain images. IEEE Trans. Medical Imaging 24(12): 1548-1565 (2005) - 2004
- [j1]Meritxell Bach Cuadra, Claudio Pollo, Anton Bardera
Atlas-based segmentation of pathological MR brain images using a model of lesion growth. IEEE Trans. Medical Imaging 23(10): 1301-1314 (2004)
Conference and Workshop Papers
- 2024
- [c46]Rizhong Lin
Cross-Age and Cross-Site Domain Shift Impacts on Deep Learning-Based White Matter Fiber Estimation in Newborn and Baby Brains. ISBI 2024: 1-5 - [c45]Maxence Wynen, Maxime Istasse, Pedro M. Gordaliza, Anna Stölting, Pietro Maggi, Benoît Macq, Meritxell Bach Cuadra:
Conflunet: Improving Confluent Lesion Identification In Multiple Sclerosis With Instance Segmentation. ISBI 2024: 1-5 - [c44]Thomas Sanchez
Assessing Data Quality on Fetal Brain MRI Reconstruction: A Multi-site and Multi-rater Study. PIPPI@MICCAI 2024: 46-56 - [c43]Vladyslav Zalevskyi, Thomas Sanchez, Margaux Roulet, Jordina Aviles Verdera, Jana Hutter, Hamza Kebiri, Meritxell Bach Cuadra:
Improving Cross-Domain Brain Tissue Segmentation in Fetal MRI with Synthetic Data. MICCAI (1) 2024: 437-447 - 2023
- [c42]Priscille de Dumast, Meritxell Bach Cuadra:
Domain Generalization in Fetal Brain MRI Segmentation with Multi-Reconstruction Augmentation. ISBI 2023: 1-5 - [c41]Kay Lächler, Hélène Lajous, Michael Unser
Self-Supervised Isotropic Superresolution Fetal Brain MRI. ISBI 2023: 1-5 - [c40]Nataliia Molchanova, Vatsal Raina, Andrey Malinin, Francesco La Rosa, Henning Müller
Novel Structural-Scale Uncertainty Measures and Error Retention Curves: Application to Multiple Sclerosis. ISBI 2023: 1-5 - [c39]Vatsal Raina, Nataliia Molchanova, Mara Graziani, Andrey Malinin, Henning Müller
Tackling Bias in the Dice Similarity Coefficient: Introducing NDSC for White Matter Lesion Segmentation. ISBI 2023: 1-5 - [c38]Thomas Sanchez
FetMRQC: Automated Quality Control for Fetal Brain MRI. PIPPI@MICCAI 2023: 3-16 - [c37]Hamza Kebiri
Robust Estimation of the Microstructure of the Early Developing Brain Using Deep Learning. MICCAI (7) 2023: 293-303 - [c36]Priscille de Dumast
Simulation-Based Parameter Optimization for Fetal Brain MRI Super-Resolution Reconstruction. MICCAI (7) 2023: 336-346 - 2022
- [c35]Priscille de Dumast, Hamza Kebiri, Kelly Payette
Synthetic Magnetic Resonance Images for Domain Adaptation: Application to Fetal Brain Tissue Segmentation. ISBI 2022: 1-5 - [c34]Hamza Kebiri
Slice Estimation in Diffusion MRI of Neonatal and Fetal Brains in Image and Spherical Harmonics Domains Using Autoencoders. CDMRI@MICCAI 2022: 3-13 - [c33]Athena Taymourtash
Spatio-Temporal Motion Correction and Iterative Reconstruction of In-Utero Fetal fMRI. MICCAI (6) 2022: 603-612 - 2021
- [c32]Hamza Kebiri
Quantitative Evaluation of Enhanced Multi-plane Clinical Fetal Diffusion MRI with a Crossing-Fiber Phantom. CDMRI@MICCAI 2021: 12-22 - [c31]Hélène Lajous
Simulated Half-Fourier Acquisitions Single-shot Turbo Spin Echo (HASTE) of the Fetal Brain: Application to Super-Resolution Reconstruction. UNSURE/PIPPI@MICCAI 2021: 157-167 - [c30]Priscille de Dumast, Hamza Kebiri
Segmentation of the Cortical Plate in Fetal Brain MRI with a Topological Loss. UNSURE/PIPPI@MICCAI 2021: 200-209 - [c29]Tommaso Di Noto
Diagnostic Surveillance of High-Grade Gliomas: Towards Automated Change Detection Using Radiology Report Classification. PKDD/ECML Workshops (2) 2021: 423-436 - 2020
- [c28]Tommaso Di Noto
An Anatomically-Informed 3D CNN for Brain Aneurysm Classification with Weak Labels. MLCN/RNO-AI@MICCAI 2020: 56-66 - [c27]Hélène Lajous
T2 Mapping from Super-Resolution-Reconstructed Clinical Fast Spin Echo Magnetic Resonance Acquisitions. MICCAI (2) 2020: 114-124 - [c26]Francesco La Rosa
Automated Detection of Cortical Lesions in Multiple Sclerosis Patients with 7T MRI. MICCAI (4) 2020: 584-593 - 2019
- [c25]Huu-Giao Nguyen, Alessia Pica, Jan Hrbacek, Damien C. Weber, Francesco La Rosa, Ann Schalenbourg, Raphael Sznitman, Meritxell Bach Cuadra:
A novel segmentation framework for uveal melanoma in magnetic resonance imaging based on class activation maps. MIDL 2019: 370-379 - 2018
- [c24]Francesco La Rosa
Shallow vs Deep Learning Architectures for White Matter Lesion Segmentation in the Early Stages of Multiple Sclerosis. BrainLes@MICCAI (1) 2018: 142-151 - [c23]Huu-Giao Nguyen, Alessia Pica, Philippe Maeder, Ann Schalenbourg, Marta Peroni, Jan Hrbacek, Damien C. Weber, Meritxell Bach Cuadra, Raphael Sznitman:
Ocular Structures Segmentation from Multi-sequences MRI Using 3D Unet with Fully Connected CRFs. COMPAY/OMIA@MICCAI 2018: 167-175 - 2017
- [c22]Elena Najdenovska
Towards an Automated Segmentation of the Ventro-Intermediate Thalamic Nucleus. CARE/CLIP@MICCAI 2017: 141-150 - [c21]Mário João Fartaria
Segmentation of Cortical and Subcortical Multiple Sclerosis Lesions Based on Constrained Partial Volume Modeling. MICCAI (3) 2017: 142-149 - 2015
- [c20]Sébastien Tourbier
Automatic brain extraction in fetal MRI using multi-atlas-based segmentation. Medical Imaging: Image Processing 2015: 94130Y - 2014
- [c19]Oscar Esteban
Simulation-based evaluation of susceptibility distortion correction methods in diffusion MRI for connectivity analysis. ISBI 2014: 738-741 - [c18]Sébastien Tourbier, Xavier Bresson, Patric Hagmann, Jean-Philippe Thiran
Efficient Total Variation Algorithm for Fetal Brain MRI Reconstruction. MICCAI (2) 2014: 252-259 - 2012
- [c17]Subrahmanyam Gorthi
Evaluation of atlas fusion strategies for segmentation of head and neck lymph nodes for radiotherapy planning. ISBI 2012: 1276-1279 - 2011
- [c16]Subrahmanyam Gorthi
Comparison of energy minimization methods for 3-D brain tissue classification. ICIP 2011: 57-60 - [c15]Francesca Pizzorni Ferrarese, Alessandro Daducci
Towards a diffusion image processing validation and accuracy prediction framework. ICIP 2011: 2269-2272 - [c14]Anca Ciurte, Nawal Houhou, Sergiu Nedevschi
An efficient segmentation method for ultrasound images based on a semi-supervised approach and patch-based features. ISBI 2011: 969-972 - 2008
- [c13]D. Ferrario, Meritxell Bach Cuadra, Marie Schaer, Nawal Houhou, Dominique Zosso, Stephan Eliez, Laurent Guibaud, Jean-Philippe Thiran:
Brain surface segmentation of Magnetic Resonance images of the fetus. EUSIPCO 2008: 1-5 - [c12]X. Pena Pina, Meritxell Bach Cuadra, Nicolas Kunz, Nathalie Just, Rolf Gruetter, Jean-Philippe Thiran:
Fast bias field correction for 9.4 tesla magnetic resonance imaging. EUSIPCO 2008: 1-5 - [c11]Valerie Duay
An Active Contour-Based Atlas Registration Model Applied to Automatic Subthalamic Nucleus Targeting on MRI: Method and Validation. MICCAI (2) 2008: 980-988 - [c10]Dominique Zosso
Bi-planar 2D-to-3D registration in Fourier domain for stereoscopic x-ray motion tracking. Medical Imaging: Image Processing 2008: 69140I - 2007
- [c9]Rubén Cárdenes, Meritxell Bach
Multimodal Evaluation for Medical Image Segmentation. CAIP 2007: 229-236 - [c8]Valerie Duay, Xavier Bresson, Nawal Houhou, Meritxell Bach Cuadra, Jean-Philippe Thiran:
Registration of multiple regions derived from the optical flow model and the active contour framework. EUSIPCO 2007: 282-286 - 2006
- [c7]Valerie Duay, Meritxell Bach Cuadra, Xavier Bresson, Jean-Philippe Thiran:
Dense deformation field estimation for atlas registration using the active contour framework. EUSIPCO 2006: 1-5 - 2005
- [c6]Xavier Gigandet, Meritxell Bach Cuadra, Abram Pointet, Leila Cammoun, Régis Caloz, Jean-Philippe Thiran
Region-based satellite image classification: method and validation. ICIP (3) 2005: 832-835 - [c5]F. Javier Sánchez Castro, Claudio Pollo, Reto Meuli, Philippe Maeder, Meritxell Bach Cuadra, Olivier Cuisenaire
Cross Validation of Experts Versus Registration Methods for Target Localization in Deep Brain Stimulation. MICCAI 2005: 417-424 - 2003
- [c4]Meritxell Bach Cuadra, Claudio Pollo, Anton Bardera, Olivier Cuisenaire, Jean-Guy Villemure, Jean-Philippe Thiran:
Atlas-based segmentation of pathological brain MR images. ICIP (1) 2003: 573-576 - 2002
- [c3]Meritxell Bach Cuadra, Bram Platel, Eduardo Solanas, Torsten Butz, Jean-Philippe Thiran
Validation of Tissue Modelization and Classification Techniques in T1-Weighted MR Brain Images. MICCAI (1) 2002: 290-297 - [c2]Meritxell Bach Cuadra, J. Gomez, Patric Hagmann, Claudio Pollo, Jean-Guy Villemure, Benoit M. Dawant, Jean-Philippe Thiran
Atlas-Based Segmentation of Pathological Brains Using a Model of Tumor Growth. MICCAI (1) 2002: 380-387 - 2001
- [c1]Meritxell Bach Cuadra, Olivier Cuisenaire, Reto Meuli, Jean-Philippe Thiran:
Automatic segmentation of internal structures of the brain in MR images using a tandem of affine and non-rigid registration of an anatomical brain atlas. ICIP (3) 2001: 1083-1086
Informal and Other Publications
- 2024
- [i29]Vladyslav Zalevskyi, Thomas Sanchez, Margaux Roulet, Jordina Aviles Verdera, Jana Hutter, Hamza Kebiri
Improving cross-domain brain tissue segmentation in fetal MRI with synthetic data. CoRR abs/2403.15103 (2024) - [i28]Federico Spagnolo, Nataliia Molchanova, Roger Schaer, Meritxell Bach Cuadra, Mario Ocampo-Pineda, Lester Melie-García, Cristina Granziera, Vincent Andrearczyk, Adrien Depeursinge:
Instance-level quantitative saliency in multiple sclerosis lesion segmentation. CoRR abs/2406.09335 (2024) - [i27]Nataliia Molchanova, Alessandro Cagol, Pedro M. Gordaliza, Mario Ocampo-Pineda, Po-Jui Lu, Matthias Weigel, Xinjie Chen, Adrien Depeursinge, Cristina Granziera, Henning Müller, Meritxell Bach Cuadra:
Interpretability of Uncertainty: Exploring Cortical Lesion Segmentation in Multiple Sclerosis. CoRR abs/2407.05761 (2024) - [i26]Rizhong Lin, Hamza Kebiri, Ali Gholipour, Yufei Chen, Jean-Philippe Thiran, Davood Karimi, Meritxell Bach Cuadra:
Ground-truth effects in learning-based fiber orientation distribution estimation in neonatal brains. CoRR abs/2409.01195 (2024) - [i25]Federico Spagnolo, Nataliia Molchanova, Mario Ocampo-Pineda, Lester Melie-García, Meritxell Bach Cuadra, Cristina Granziera, Vincent Andrearczyk, Adrien Depeursinge:
Exploiting XAI maps to improve MS lesion segmentation and detection in MRI. CoRR abs/2409.03772 (2024) - 2023
- [i24]Vatsal Raina, Nataliia Molchanova, Mara Graziani, Andrey Malinin, Henning Müller
Tackling Bias in the Dice Similarity Coefficient: Introducing nDSC for White Matter Lesion Segmentation. CoRR abs/2302.05432 (2023) - [i23]Thomas Sanchez, Oscar Esteban, Yvan Gomez, Elisenda Eixarch, Meritxell Bach Cuadra:
FetMRQC: Automated Quality Control for fetal brain MRI. CoRR abs/2304.05879 (2023) - [i22]Hamza Kebiri
Direct segmentation of brain white matter tracts in diffusion MRI. CoRR abs/2307.02223 (2023) - [i21]Thomas Sanchez, Oscar Esteban, Yvan Gomez, Alexandre Pron, Mériam Koob, Vincent Dunet, Nadine Girard, András Jakab
FetMRQC: an open-source machine learning framework for multi-centric fetal brain MRI quality control. CoRR abs/2311.04780 (2023) - [i20]Nataliia Molchanova, Vatsal Raina, Andrey Malinin, Francesco La Rosa, Adrien Depeursinge, Mark J. F. Gales, Cristina Granziera, Henning Müller
Structural-Based Uncertainty in Deep Learning Across Anatomical Scales: Analysis in White Matter Lesion Segmentation. CoRR abs/2311.08931 (2023) - [i19]Rizhong Lin
Cross-Age and Cross-Site Domain Shift Impacts on Deep Learning-Based White Matter Fiber Estimation in Newborn and Baby Brains. CoRR abs/2312.14773 (2023) - 2022
- [i18]Francesco La Rosa, Maxence Wynen, Omar Al-Louzi, Erin S. Beck, Till Huelnhagen, Pietro Maggi, Jean-Philippe Thiran, Tobias Kober, Russell T. Shinohara, Pascal Sati
Cortical lesions, central vein sign, and paramagnetic rim lesions in multiple sclerosis: emerging machine learning techniques and future avenues. CoRR abs/2201.07463 (2022) - [i17]Thomas Yu, Tom Hilbert, Gian Franco Piredda, Arun Joseph, Gabriele Bonanno, Salim Zenkhri, Patrick Omoumi, Meritxell Bach Cuadra, Erick Jorge Canales-Rodríguez, Tobias Kober, Jean-Philippe Thiran:
Validation and Generalizability of Self-Supervised Image Reconstruction Methods for Undersampled MRI. CoRR abs/2201.12535 (2022) - [i16]Kelly Payette, Hongwei Li, Priscille de Dumast, Roxane Licandro, Hui Ji, Md Mahfuzur Rahman Siddiquee, Daguang Xu, Andriy Myronenko, Hao Liu, Yuchen Pei, Lisheng Wang, Ying Peng, Juanying Xie, Huiquan Zhang, Guiming Dong, Hao Fu, Guotai Wang, ZunHyan Rieu, Donghyeon Kim, Hyun Gi Kim, Davood Karimi, Ali Gholipour, Helena R. Torres, Bruno Oliveira, João L. Vilaça
Fetal Brain Tissue Annotation and Segmentation Challenge Results. CoRR abs/2204.09573 (2022) - [i15]Andrey Malinin, Andreas Athanasopoulos, Muhamed Barakovic, Meritxell Bach Cuadra, Mark J. F. Gales, Cristina Granziera, Mara Graziani, Nikolay Kartashev, Konstantinos Kyriakopoulos, Po-Jui Lu, Nataliia Molchanova, Antonis Nikitakis, Vatsal Raina, Francesco La Rosa, Eli Sivena, Vasileios Tsarsitalidis, Efi Tsompopoulou, Elena Volf:
Shifts 2.0: Extending The Dataset of Real Distributional Shifts. CoRR abs/2206.15407 (2022) - [i14]Tommaso Di Noto, Meritxell Bach Cuadra, Chirine Atat, Eduardo Gamito Teiga, Monika Hegi, Andreas Hottinger, Patric Hagmann, Jonas Richiardi
Transfer learning with weak labels from radiology reports: application to glioma change detection. CoRR abs/2210.09698 (2022) - [i13]Nataliia Molchanova, Vatsal Raina, Andrey Malinin, Francesco La Rosa, Henning Müller
Novel structural-scale uncertainty measures and error retention curves: application to multiple sclerosis. CoRR abs/2211.04825 (2022) - [i12]Kay Lächler, Hélène Lajous, Michael Unser, Meritxell Bach Cuadra, Pol del Aguila Pla:
Self-Supervised Isotropic Superresolution Fetal Brain MRI. CoRR abs/2211.06502 (2022) - [i11]Priscille de Dumast, Meritxell Bach Cuadra:
Domain generalization in fetal brain MRI segmentation \\with multi-reconstruction augmentation. CoRR abs/2211.14282 (2022) - 2021
- [i10]Tommaso Di Noto, Guillaume Marie, Sébastien Tourbier, Yasser Alemán-Gómez, Oscar Esteban, Guillaume Saliou, Meritxell Bach Cuadra, Patric Hagmann, Jonas Richiardi:
Weak labels and anatomical knowledge: making deep learning practical for intracranial aneurysm detection in TOF-MRA. CoRR abs/2103.06168 (2021) - [i9]Hélène Lajous, Christopher W. Roy, Tom Hilbert, Priscille de Dumast, Sébastien Tourbier, Yasser Alemán-Gómez, Jérôme Yerly, Thomas Yu, Hamza Kebiri, Kelly Payette, Jean-Baptiste Ledoux, Reto Meuli, Patric Hagmann, András Jakab
FaBiAN: A Fetal Brain magnetic resonance Acquisition Numerical phantom. CoRR abs/2109.03624 (2021) - [i8]Priscille de Dumast, Hamza Kebiri, Kelly Payette, András Jakab, Hélène Lajous, Meritxell Bach Cuadra:
Synthetic magnetic resonance images for domain adaptation: Application to fetal brain tissue segmentation. CoRR abs/2111.04737 (2021) - [i7]Athena Taymourtash, Hamza Kebiri, Sébastien Tourbier, Ernst Schwartz, Karl-Heinz Nenning, Roxane Licandro, Daniel Sobotka, Hélène Lajous, Priscille de Dumast, Meritxell Bach Cuadra, Georg Langs:
4D iterative reconstruction of brain fMRI in the moving fetus. CoRR abs/2111.11394 (2021) - 2020
- [i6]Francesco La Rosa, Erin S. Beck, Ahmed Abdulkadir, Jean-Philippe Thiran, Daniel S. Reich, Pascal Sati
Automated Detection of Cortical Lesions in Multiple Sclerosis Patients with 7T MRI. CoRR abs/2008.06780 (2020) - [i5]Priscille de Dumast, Hamza Kebiri, Chirine Atat, Vincent Dunet, Mériam Koob, Meritxell Bach Cuadra:
Segmentation of the cortical plate in fetal brain MRI with a topological loss. CoRR abs/2010.12391 (2020) - [i4]Kelly Payette, Priscille de Dumast, Hamza Kebiri, Ivan Ezhov, Johannes C. Paetzold, Suprosanna Shit, Asim Iqbal, Romesa Khan, Raimund Kottke, Patrice Grehten, Hui Ji, Levente Lanczi, Marianna Nagy, Monika Beresova, Thi Dao Nguyen, Giancarlo Natalucci, Theofanis Karayannis, Bjoern H. Menze, Meritxell Bach Cuadra, András Jakab:
A comparison of automatic multi-tissue segmentation methods of the human fetal brain using the FeTA Dataset. CoRR abs/2010.15526 (2020) - [i3]Tommaso Di Noto, Guillaume Marie, Sébastien Tourbier, Yasser Alemán-Gómez, Guillaume Saliou, Meritxell Bach Cuadra, Patric Hagmann, Jonas Richiardi:
An anatomically-informed 3D CNN for brain aneurysm classification with weak labels. CoRR abs/2012.08645 (2020) - 2018
- [i2]Francesco La Rosa, Mário João Fartaria, Tobias Kober, Jonas Richiardi, Cristina Granziera, Jean-Philippe Thiran, Meritxell Bach Cuadra:
Shallow vs deep learning architectures for white matter lesion segmentation in the early stages of multiple sclerosis. CoRR abs/1809.03185 (2018) - 2014
- [i1]Oscar Esteban, Gert Wollny, Subrahmanyam Gorthi, María J. Ledesma-Carbayo, Jean-Philippe Thiran, Andrés Santos, Meritxell Bach Cuadra:
MBIS: Multivariate Bayesian Image Segmentation Tool. CoRR abs/1404.0600 (2014)
Coauthor Index
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