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Lajous H, Hilbert T, Roy CW, Tourbier S, de Dumast P, Alemán-Gómez Y, Yu T, Kebiri H, Ledoux JB, Hagmann P, Meuli R, Dunet V, Koob M, Stuber M, Kober T, Bach Cuadra M. Simulated Half-Fourier Acquisitions Single-shot Turbo spin Echo (HASTE) of the fetal brain: application to super-resolution reconstruction - UNSURE 2021: International Workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, 12959: 157-167, Strasbourg, France, September 2021

Schilling KG, Rheault F, Petit L, Hansen CB, Nath V, Yeh FC, Girard G, Barakovic M, Rafael-Patino J, Yu T, Fischi-Gomez E, Pizzolato M, Ocampo-Pineda M, Schiavi S, Canales-Rodríguez EJ, Daducci A, Granziera C, Innocenti G, Thiran JP, Mancini L, Wastling S, Cocozza S, Petracca M, Pontillo G, Mancini M, Vos SB, Vakharia VN, Duncan JS, Melero H, Manzanedo L, Sanz-Morales E, Peña-Melián A, Calamante F, Attyéw A, Cabeen RP, Korobova L, Toga AW, Vijayakumari AA, Parker D, Verma R, Radwan A, Sunaert S, Emsell L, De Luca A, Leemans A, Bajada CJ, Haroon H, Azadbakht H, Chamberland M, Genc S, Tax CMW, Yeh PH, Srikanchana R, Mcknight CD, Yang JYM, Chen J, Kelly CE, Yeh CH, Cochereau J, Maller JJ, Welton T, Almairac F, Seunarine KK, Clark CA, Zhang F, Makris N, Golby A, Rathi Y, O’Donnell LJ, Xia Y, Aydogan DB, Shi Y, Guerreiro Fernandes F, Raemaekers M, Warrington S, Michielse S, Ramírez-Manzanares A, Concha L, Aranda R, Rivera Meraz M, Lerma-Usabiaga G, Roitman L, Fekonja LS, Calarco N, Joseph M, Nakua H, Voineskos AN, Karan P, Grenier G, Haitz Legarreta JH, Adluru N, Nair VA, Prabhakaran V, Alexander AL, Kamagata K, Saito Y, Uchida W, Andica C, Abe M, Bayrak RG, Wheeler-Kingshott CAM, D’Angelo E, Palesi F, Savini G, Rolandi N, Guevara P, Houenou J, López-López N, Mangin JF, Poupon C, Román C, Vázquez A, Maffei C, Arantes M, Andrade JP, Silva SM, Calhoun VD, Caverzasi E, Sac S. Tractography dissection variability: What happens when 42 groups dissect 14 white matter bundles on the same dataset? - NeuroImage, 243(2021): 118502, August 2021

Cohen-Adad J, Alonso-Ortiz E, Abramovic M, Arneitz C, Atcheson N, Barlow L, Barry RL, Barth M, Battiston M, Büchel C, Budde M, Callot V, Combes AJE, De Leener B, Descoteaux M, Loureiro de Sousa P, Dostál M, Doyon J, Dvorak A, Eippert F, Epperson KR, Epperson KS, Freund P, Finsterbusch J, Foias A, Fratini M, Fukunaga I, Gandini Wheeler-Kingshott CAM, Germani G, Gilbert G, Giove F, Gros C, Grussu F, Hagiwara A, Henry PG, Horák T, Hori M, Joers J, Kamiya K, Karbasforoushan H, Keřkovský M, Khatibi A, Kim JW, Kinany N, Kitzler H, Kolind S, Kong Y, Kudlička P, Kuntke P, Kurniawan ND, Kusmia S, Labounek R, Laganà MM, Laule C, Law CS, Lenglet C, Leutritz T, Liu Y, Llufriu S, Mackey S, Martinez-Heras E, Mattera L, Nestrasil I, O’Grady KP, Papinutto N, Papp D, Pareto D, Parrish TB, Pichiecchio A, Prados F, Rovira A, Ruitenberg MJ, Samson RS, Savini G, Seif M, Seifert AC, Smith AK, Smith SA, Smith ZA, Solana E, Suzuki Y, Tackley G, Tinnermann A, Valošek J, Van De Ville D, Yiannakas MC, Weber KA, Weiskopf N, Wise RG, Wyss PO, Xu J. Open-access quantitative MRI data of the spinal cord and reproducibility across participants, sites and manufacturers - Scientific Data, 8: 219, August 2021

Cohen-Adad J, Alonso-Ortiz E, Abramovic M, Arneitz C, Atcheson N, Barlow L, Barry RL, Barth M, Battiston M, Büchel C, Budde M, Callot V, Combes AJE, De Leener B, Descoteaux M, Loureiro de Sousa P, Dostál M, Doyon J, Dvorak A, Eippert F, Epperson KR, Epperson KS, Freund P, Finsterbusch J, Foias A, Fratini M, Fukunaga I, Gandini Wheeler-Kingshott CAM, Germani G, Gilbert G, Giove F, Gros C, Grussu F, Hagiwara A, Henry PG, Horák T, Hori M, Joers J, Kamiya K, Karbasforoushan H, Keřkovský M, Khatibi A, Kim JW, Kinany N, Kitzler H, Kolind S, Kong Y, Kudlička P, Kuntke P, Kurniawan ND, Kusmia S, Labounek R, Laganà MM, Laule C, Law CS, Lenglet C, Leutritz T, Liu Y, Llufriu S, Mackey S, Martinez-Heras E, Mattera L, Nestrasil I, O’Grady KP, Papinutto N, Papp D, Pareto D, Parrish TB, Pichiecchio A, Prados F, Rovira A, Ruitenberg MJ, Samson RS, Savini G, Seif M, Seifert AC, Smith AK, Smith SA, Smith ZA, Solana E, Suzuki Y, Tackley G, Tinnermann A, Valošek J, Van De Ville D, Yiannakas MC, Weber KA, Weiskopf N, Wise RG, Wyss PO, Xu J. Generic acquisition protocol for quantitative MRI of the spinal cord - Nature Protocols, 18: 1257-1265, August 2021

Khawam M, de Dumast P, Deman P, Kebiri H, Yu T, Tourbier S, Lajous H, Hagmann P, Maeder P, Thiran JP, Meuli R, Dunet V, Bach Cuadra M, Koob M. Fetal brain biometric measurements on 3D super-resolution reconstructed T2-weighted MRI: an intra- and inter-observer agreement study - Frontiers in Pediatrics, 9(639476): , August 2021

Strijbis VIJ, de Bloeme CM, Jansen RW, Kebiri H, Nguyen H-G, de Jong JC, Moll AC, Bach Cuadra M, de Graaf P, Steenwijk MD. Multi-view convolutional neural networks for automated ocular structure and tumor segmentation in retinoblastoma - Scientific Reports, 11: 14590, July 2021

Klauser P, Cropley VL, Baumann PS, Lv J, Steullet P, Dwir D, Alemán-Gómez Y, Bach Cuadra M, Cuenod M, Do KQ, Conus P, Pantelis C, Fornito A, Van Rheenen TE, Zalesky A. White matter alterations between brain network hubs underlie processing speed impairment in patients with schizophrenia - Schizophrenia Bulletin, 2(1): , 2021

Payette K, de Dumast P, Kebiri H, Ivan Ezhov I, Paetzold JC, Shit S, Iqbal A, Khan R, Kottke R, Grehten P, Ji H, Lanczi L, Nagy M, Beresova M, Nguyen TD, Natalucci G, Karayannis T, Menze B, Bach Cuadra M, Jakab A. An automatic multi-tissue human fetal brain segmentation benchmark using the Fetal Tissue Annotation Dataset - Nature Scientific Data, 8: 167, July 2021

Lu P-J, Barakovic M, Weigel M, Rahmanzadeh R, Galbusera R, Schiavi S, Daducci A, La Rosa M, Bach Cuadra M, Sandkühler R, Kuhle J, Kappos L, Cattin P and Granziera C. GAMER-MRI in multiple sclerosis identifies the diffusion-based microstructural measures that are most sensitive to focal damage: A deep-learning-based analysis and clinico-biological validation - Frontiers in Neuroscience, 15: 647535, April 2021

Bommarito G, Tarun A, Farouj Y, Preti MG, Petracca M, Droby A, El Mendili MM, Inglese M, Van De Ville D. Altered anterior default mode network dynamics in progressive multiple sclerosis - Multiple Sclerosis Journal, 1: 11, June 2021

Siffredi V, Preti MG, Obertino S, Leventer RJ, Wood AG, McIlroy A, Anderson V, Spencer-Smith MM, Van De Ville D. Revisiting brain rewiring and plasticity in children born without corpus callosum - Wiley Periodicals, (1): 10, June 2021

Maggi P, Kuhle J, Schädelin S, van der Meer F, Weigel M, Galbusera R, Mathias A, Lu P-J, Rahmanzadeh R, Benkert P, La Rosa F, Bach Cuadra M, Sati P, Théaudin M, Pot C, van Pesch V, Leppert D, Stadelmann C, Kappos L, Du Pasquier R, Reich DS, Absinta M, Granziera C. Chronic white matter inflammation and serum neurofilament levels in multiple sclerosis - Neurology, 4(10): 1212, June 2021

Rey G, Bolton TAW, Julian Gaviria J, Piguet C, Preti MG, Favre S, Aubry J-M, Van De Ville D, Vuilleumier P. Dynamics of amygdala connectivity in bipolar disorders: a longitudinal study across mood states - Neuropsychopharmacology, O: 1-9, June 2021

Bommarito G, Tarun A, Farouj Y, Preti MG, Petracca M, Droby A, El Mendili MM, Inglese M, Van De Ville D. Altered anterior default mode network dynamics in progressive multiple sclerosis - Multiple Sclerosis Journal, 1: 11, June 2021

Denoyelle Q, Pham TA, del Aguila Pla P, Sage D, Unser M. Optimal-transport-based metric for SMLM - IEEE International Symposium on Biomedical Imaging (ISBI'21), : 797-801, Nice, France, April 2021

Klug J, Dirren E, Preti M, Machi P, Kleinschmidt A, Vargas Gomez M, Van De Ville D, Carrera E. Integrating regional perfusion CT information improves prediction of infarction after stroke - Journal of Cerebral Blood Flow & Metabolism, 41(3): 502-510, March 2021

La Rosa F, Yu T, Barquero G, Thiran JP, Granziera C, Bach Cuadra M. MPRAGE to MP2RAGE UNI translation via generative adversarial network improves the automatic tissue and lesion segmentation in multiple sclerosis patients - Computers in Biology and Medicine, 132(104297): , May 2021

Rahmanzadeh Reza, Lu P-J, Barakovic M, Weigel M, Maggi P, Nguyen TD, Schiavi S, Daducci A, La Rosa F, Schaedelin S, Absinta M, Reich DS, Sati P, Wang Y, Bach Cuadra M, Radue E-W, Kuhle J, Kappos L, Granziera C. Myelin and axon pathology in multiple sclerosis assessed by myelin water and multi-shell diffusion imaging - Brain, 10: 1093, March 2021

Spahr A, Bozorgtabar B, Thiran JP. Self-taught semi-supervised anomaly detection on upper limb X-rays - 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), : , Nice, France, April 2021

Barakovic M, Tax C, Rudrapatna U, Chamberland M, Rafael-Patino J, Granziera C, Thiran JP, Daducci A, Canales-Rodríguez EJ, Jones DK. Resolving bundle-specific intra-axonal T2 values within a voxel using diffusion-relaxation tract-based estimation - NeuroImage, 227(117617): , February 2021

Tomar D, Lortkipanidze M, Vray G, Bozorgtabar B, and Thiran JP. Self-attentive spatial adaptive normalization for cross-modality domain adaptation - IEEE Transactions on Medical Imaging, : , February 2021

Niendorf T, Beenakker J, Langner S, Erb-Eigner K, Bach Cuadra M, Beller E, Millward JM, Niendorf TM, Stachs O. Ophthalmic magnetic resonance imaging: Where are we (heading to)? - Current Eye Research, : , February 2021

Yoo J, Jin KH, Gupta H, Yerly J, Stuber M, Unser M. Time-dependent deep image prior for dynamic MRI - Cornell University, : , January 2021

Gauthier B, Brechet L, Lance F, Mange R, Herbelin B, Faivre N, Bolton TAW, Van De Ville D, Blanke O. First-person body view modulates the neural substrates of episodic memory and autonoetic consciousness: A functional connectivity study - NeuroImage, 223: , December 2020

Lu PJ, Yoo Y, Rahmanzadeh R, Galbusera R, Weigel M, Ceccaldi P, Nguyen TD, Spincemaille P, Wang Y, Daducci A, La Rosa F, Bach Cuadra M, Sandkühler R, Nael K, Doshi A, Fayad ZA, Kuhle J, Kappos L, Granziera C. GAMER MRI: Gated-attention mechanism ranking of multi-contrast MRI in brain pathology - NeuroImage Clinical, 29(102522): , December 2020

Bohra P, Campos J, Gupta H, Aziznejad S, Unser M. Learning activation functions in deep (spline) neural networks - IEEE Open Journal of Signal Processing, 1: 295 - 309, November 2020

Girard G, Caminiti R, Battaglia-Mayer A, St-Onge E, Ambrosen KS, Eskildsen SF, Krug K, Dyrby TB, Descoteaux M, Thiran JP, Innocenti GM. On the cortical connectivity in the macaque brain: A comparison of diffusion tractography and histological tracing data - NeuroImage, 221: 1, November 2020

Mahapatra D, Bozorgtabar B, Thiran JP, Shao L. Structure preserving stain normalization of histopathology images using self supervised semantic guidance - International Conference on Medical Image Computing and Computer-Assisted Intervention-MICCAI, : 309-319, Lima, Peru, October 2020

Abbet C, Zlobec I, Bozorgtabar B, Thiran JP. Divide-and-rule: self-supervised learning for survival analysis in colorectal cancer - International Conference on Medical Image Computing and Computer-Assisted Intervention-MICCAI, : 480-489, Lima, Peru, October 2020

Bozorgtabar B, Mahapatra D, Vray G, Thiran JP. SALAD: self-supervised aggregation learning for anomaly detection on X-Rays - International Conference on Medical Image Computing and Computer-Assisted Intervention-MICCAI, : 468-478, Lima, Peru, October 2020

Rensonnet G, Rafael-Patino J, Macq B, Thiran JP, Pizzolato M, Girard G. A Signal Peak Separation Index for axisymmetric B-tensor encoding - International Conference on Medical Image Computing and Computer-Assisted Intervention-MICCAI 2020 International Workshop on Computational Diffusion MRI, : , Lima, Peru, October 2020

Truffet R, Rafael-Patino J, Girard G, Pizzolato M, Barillo C, Thiran JP, Caruyer E. An evolutionary framework for microstructure-sensitive generalized diffusion gradient waveforms - International Conference on Medical Image Computing and Computer-Assisted Intervention-MICCAI, : 94-103, Lima, Peru, October 2020

Todea RA, Lu PJ, Fartaria de Oliveira MJ, Bonnier G, Du Pasquier R, Krueger G, Bach Cuadra M, Psychogios MN, Kappos L, Kuhle J, Granziera C. Evolution of cortical and white matter lesion load in early-stage multiple sclerosis: correlation with neuroaxonal damage and clinical changes - Frontiers in Neurology, 11(973): , September 2020

Barquero G, La Rosa F, Kebiri H, Lu P-J, Rahmanzadeh R, Weigel M, Fartaria M J, Kober T, Théaudin M, Du Pasquier R, Sati P, Reich DS, Absinta M, Granziera C, Maggi P, Bach Cuadra M. RimNet: A deep 3D multimodal MRI architecture for paramagnetic rim lesion assessment in multiple sclerosis - NeuroImage: Clinical, 28(102412): , September 2020

La Rosa F, Beck ES, Abdulkadir A, Thiran JP, Reich DS, Sati P, Bach Cuadra M. Automated detection of cortical lesions in multiple sclerosis patients with 7T MRI - International Conference on Medical Image Computing and Computer-Assisted Intervention-MICCAI, : , Lima, Peru, October 2020

Lajous H, Hilbert T, Roy CW, Tourbier S, de Dumast P, Yu T, Thiran JP, Ledoux JB, Piccini D, Hagmann P, Meuli R, Kober T, Stuber M, van Heeswijk RB, Bach Cuadra M. T2 mapping from super-resolution-reconstructed clinical fast spin echo magnetic resonance acquisitions - International Conference on Medical Image Computing and Computer-Assisted Intervention-MICCAI, 12262: 114-124, Lima, Peru, October 2020

Yu T, Canales-Rodríguez EJ, Pizzolato M, Piredda G, Hilbert T, Fischi-Gomez E, Weigel M, Barakovic M, Bach Cuadra M, Granziera C, Kober T, Thiran JP. Model-lnformed machine learning for multi-component T2 relaxometry - Medical image Analysis, 69(101940): , July 2020

Alemán Y, Najdenovska E, Roine T, Fartaria MJ, Canales-Rodríguez EJ, Rovó Z, Hagmann P, Conus P, Do KQ, Klauser P, Steullet P, Baumann PS, Bach Cuadra M. Partial‐volume modeling reveals reduced gray matter in specific thalamic nuclei early in the time course of psychosis and chronic schizophrenia - Human Brain Mapping, 41(14): 4041-4061, July 2020

Bozorgtabar B, Mahapatra D, Zlobec I, Rau T, Thiran JP. Computational pathology - Frontiers in Medicine, 7: , June 2020

Marcadent S, Hofmeister J, Preti MG, Martin S, Van De Ville D, Montet X. Generative adversarial networks improve the reproducibility and discriminative power of radiomics features - Radiology: Artificial Intelligence, 2(3): , May 2020

Piccini D, Demesmaeker R, Heerfordt J, Yerly J, Di Sopra L, Masci PG, Schwitter J, Van De Ville D, Richiardi J, Kober T, Stuber M. Deep learning to automate reference-free image quality assessment of whole-heart MR images - Radiology: Artificial Intelligence, 2(3): e190123, May 2020

Bach Cuadra M, Favre J, Omoumi P. Quantification in musculoskeletal imaging using computational analysis and machine learning: Segmentation and radiomics - Seminars in Musculoskeletal Radiology, 24(1): 50-64, February 2020

Siffredi V, Preti MG, Kebets V, Obertino S, Leventer RJ, McIlroy A, Wood A, Anderson V, Spencer-Smith M, Van De Ville D. Structural neuroplastic responses preserve functional connectivity and neurobehavioural outcomes in children born without corpus callosum - Cerebral Cortex, 31: 1227-1239, May 2020

Pugin D, Hofmeister J, Gasche Y, Vulliemoz S, Lovblad KO, Van De Ville D, Haller S. Resting-state brain activity for early prediction outcome in post-anoxic comatose patients with indeterminate clinical prognosis - American Journal of Neuroradiology, 41: 1022-1030, May 2020

Maggi P, Fartaria M, Jorge J, La Rosa F, Absinta M, Sati P, Meuli R, Du Pasquier R, Reich D, Bach Cuadra M, Granziera C, Richiardi J, Kober T. CVSnet: A machine learning approach for automated central vein sign assessment in multiple sclerosis - NMR in Biomedicine, : , March 2020

del Aguila Pla P, Pellaco L, Dwivedi S, Händel P, Jaldén J. Clock synchronization over networks using sawtooth models - IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP'20), : 5945-5949, Barcelona, Spain, May 2020

De Zanet SI, Ciller C, Rudolph T, Maeder P, Munier F, Balmer A, Bach Cuadra M, Kowal JH. Landmark Detection for Fusion of Fundus and MRI Towards a Patient-Specific Multi-Modal Eye Model - IEEE Transactions on Biomedical Engineering, 62(2): 532-40, February 2015

Daducci A, Dal Palu A, Lemkaddem A, Thiran JP. COMMIT: Convex Optimization Modeling for Microstructure Informed Tractography - IEEE Transactions on Medical Imaging, 34(1): 246-57, January 2015

Daducci A, Canales-Rodríguez EJ, Zhang H, Dyrby TB, Alexander DC, Thiran J. Accelerated Microstructure Imaging via Convex Optimization (AMICO) from diffusion MRI data - NeuroImage, 105: 32-44, January 2015

Ciller C, De Zanet S, Rüegsegger MB, Pica A, Sznitman R, Thiran JP, Maeder P, Munier FL, Kowal JH, Bach Cuadra M. Automatic Segmentation of the Eye in 3D Magnetic Resonance Imaging: A Novel Statistical Shape Model for Treatment Planning of Retinoblastoma - International Journal of Radiation Oncology, Biology, Physics, 92(4): 794-802, July 2015

Bonnier G, Roche A, Romascano D, Simioni S, Meskaldji DE, Rotzinger D, Lin YC, Menegaz G, Schluep M, Du Pasquier R, Sumpf TJ, Frahm J, Thiran JP, Krueger G, Granziera C. Multicontrast MRI Quantification of Focal Inflammation and Degeneration in Multiple Sclerosis - BioMed Research International, : 569123, July 2015

Auría A, Daducci A, Thiran JP, Wiaux Y. Structured sparsity for spatially coherent fibre orientation estimation in diffusion MRI - NeuroImage, 115: 245-55, July 2015

Behjat H, Leonardi N, Sornmo L, Van De Ville D. Anatomically-adapted graph wavelets for improved group-level fMRI activation mapping - NeuroImage, 123: 185-99, December 2015

Tourbier S, Bresson X, Hagmann P, Thiran J-P, Meuli R, Bach Cuadra M. Efficient Total Variation Algorithm for Fetal Brain MRI Reconstruction - NeuroImage, 118: 584-97, September 2015

Rueda S, Fathima S, Knight CL, Yaqub M, Papageorghiou AT, Rahmatullah B, Foi A, Maggioni M, Pepe A, Tohka J, Stebbing R, Mcmanigle J, Ciurte A, Bresson, X, Bach Cuadra M, Sun C, Ponomarev G, Gelfand M, Kazanov M, Wang C, Chen H, Peng C, Hung C, Noble A. Evaluation and Comparison of Current Fetal Ultrasound Image Segmentation Methods for Biometric Measurements: A Grand Challenge - IEEE Transactions on Medical Imaging, 33(4): 797 - 813, August 2013