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La Rosa F., Dos Santos Silva J., Dereskewicz E., Invernizzi A., Cahan N., Galasso J., Garcia N., Graney R., Levy S., Verma G., Balchandani P., Reich D.S., Horton M., Greenspan H., Sumowski J., Bach Cuadra M., Beck E.S.. BrainAgeNeXt: Advancing brain age modeling for individuals with multiple sclerosis - Imaging Neuroscience, 3: , 25 February 2025
Richiardi J., Ravano V., Molchanova N., Gordaliza P. M., Kober T., Bach Cuadra M.. Domain shift, domain adaptation, and generalization: A focus on MRI - Trustworthy AI in Medical Imaging, Chapter 6: 127-151, 17 January 2025
Mach M., Amico E., Liégeois R., Preti M. G., Griffa A., Van De Ville D., Pedersen M.. Connectome embedding in multidimensional graph spaces - Network Neuroscience, 8(4): 1129–1148, 10 December 2024
Winther S., Lundell H., Rafael-Patiño J., Andersson M., Thiran J.-P., Dyrby T.B.. Susceptibility-induced internal gradients reveal axon morphology and cause anisotropic effects in the diffusion-weighted MRI signal - Scientific Reports, 14(1): , 28 November 2024
Manasseh G., Hilbert T., Fartaria M. J., Deverdun J., Bach Cuadra M., Maréchal B., Kober T., Dunet V.. Automated Quantitative Susceptibility and Morphometry MR Study: Feasibility and Interrelation Between Clinical Score, Lesion Load, Deep Grey Matter and Normal-Appearing White Matter in Multiple Sclerosis - MDPI Diagnostics, 14(23): 2669, 27 November 2024
Van Der Veek A., Loukas S., Lordier L., de Almeida J. S., Filippa M., Lazeyras F., Van De Ville D., Hüppi P. S.. Longitudinal functional brain connectivity maturation in premature newborn infants: Modulatory influence of early music enrichment - Imaging Neuroscience, 2: 1-18, 18 November 2024
Blanco R., Preti M. G., Koba C., Van De Ville D., Crimi, A.. Comparing structure–function relationships in brain networks using EEG and fNIRS - Scientific Reports, 14(28976): , 22 November 2024
Molchanova N., Raina V., Malinin A., La Rosa F., Depeursinge A., Gales M., Granziera C., Muller H., Graziani M., Bach Cuadra M.. Structural-based uncertainty in deep learning across anatomical scales: Analysis in white matter lesion segmentation - Computers in Biology and Medicine, 184: , 15 November 2024
Payette K., Steger C., Licandro R., de Dumast P., Li H.B., Barkovich M., Li L., Dannecker M., Chen C., Ouyang C., McConnell N., Miron A., Li Y., Uus A., Grigorescu I., Ramirez Gilliland P., Siddiquee M.M.R., Xu D., Myronenko A., Wang H., Huang Z., Ye J., Alenyà M., Comte V., Camara O., Masson J.-B., Nilsson A., Godard C., Mazher M., Qayyum A., Gao Y., Zhou H., Gao S., Fu J., Dong G., Wang G., Rieu Z., Yang H., Lee M., Płotka S., Grzeszczyk M.K., Sitek A., Vargas Daza L., Usma S., Arbelaez P., Lu W., Zhang W., Liang J., Valabregue R., Joshi A.A., Nayak K.N., Leahy R.M., Wilhelmi L., Dändliker A., Ji H., Gennari A.G., Jakovčić A., Klaić M., Adžić A., Marković P., Grabarić G., Kasprian G., Dovjak G., Rados M., Vasung L., Bach Cuadra M., Jakab A.. Multi-Center Fetal Brain Tissue Annotation (FeTA) Challenge 2022 Results - IEEE Transactions on Medical Imaging, 44(3): 1257 - 1272, 30 October 2024
Unser M.. From Kernel Methods to Neural Networks: A Unifying Variational Formulation - Foundations of Computational Mathematics, 24: 1779–1818, 17 October 2023
Segobin S., Haast R., Kumar V., Lella A., Alkemade A., Bach Cuadra M., Barbeau E., Felician O., Pergola G., Pitel A.-L., Saranathan M., Tourdias T., Hornberger M.. A roadmap towards standardized neuroimaging approaches for human thalamic nuclei - Nature Reviews Neuroscience, 25(12): 792-808, 17 October 2024
Spagnolo F., Molchanova N., Ocampo Pineda M., Melie-Garcia L., Bach Cuadra M., Granziera C., Andrearczyk V., Depeursinge A.. Exploiting XAI Maps to Improve MS Lesion Segmentation and Detection in MRI - International Conference on Medical Image Computing and Computer Assisted Intervention - MICCAI, : , Marrakesh, October 2024
Gordaliza P.M., Molchanova N., Wynen M., Maggi P., Cagol A., Graziera C., Bach Cuadra M.. Towards Longitudinal Characterization of Multiple Sclerosis Atrophy Employing SynthSeg Framework and Normative Modeling - Medical Image Computing and Computer Assisted Intervention - MICCAI, : , Marrakesh, October 2024
Molchanova N., Cagol A., Gordaliza P.M., Ocampo-Pineda M., Lu P.-J., Weigel M., Chen X., Depeursinge A., Granziera C., Müller H., Bach Cuadra M.. Interpretability of Uncertainty: Exploring Cortical Lesion Segmentation in Multiple Sclerosis - Medical Image Computing and Computer Assisted Intervention – MICCAI, : , Marrakech, October 2024
Sanchez T., Mihailov A., Gomez Y., Martí Juan G., Eixarch E., Jakab A., Dunet V., Koob M., Auzias G., Bach Cuadra M.. Assessing Data Quality on Fetal Brain MRI Reconstruction: A Multi-site and Multi-rater Study - International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), : , Marrakech, October 2024
Lin R., Kebiri H., Gholipour A., Chen Y., Thiran J.-Ph., Karimi D., Bach Cuadra M.. Ground-truth effects in learning-based fiber orientation distribution estimation in neonatal brains - International Conference on Medical Image Computing and Computer Assisted Intervention - MICCAI, : , Marrakech, October 2024
Bodenmann T.R., Gil N., Dorfner F.J., Cleveland M.C., Patel J.B., Bhat Brahmavar S., Guelen M.S., Pulido-Arias D., Kalpathy-Cramer J., Thiran J.-P., Rosen B.R., Gerstner E., Kim A. E., Bridge C. P.. Multimodal Deep Learning-Based Prediction of Immune Checkpoint Inhibitor Efficacy in Brain Metastases - MICCAI Workshop on Cancer Prevention through Early Detection, : , Marrakesh, 09 October 2024
Zalevskyi V., Sanchez T., Roulet M., Aviles Verdera J., Hutter J., Kebiri H., Bach Cuadra M.. Improving Cross-Domain Brain Tissue Segmentation in Fetal MRI with Synthetic Data - Medical Image Computing and Computer Assisted Intervention – MICCAI 2024, : , Marrakesh, October 2024
Hériard-Dubreuil B., Besson A., Cohen-Bacrie C., Thiran J.-P.. Enhancement of time-dependent coherent backscattering: Leveraging phase information - Physical Review B, 110: , 3 October 2024
Bocquillon C., Villarreal Haro J. L., Rafael-Lopez J., Thiran J.-P., Corouge I., Caruyer E.. Orientation dispersion estimated from multidimensional diffusion MRI: does it match simulated realistic microstructure? - ESMRMB 2024 - 40th Annual Meeting cientific European Society for Magnetic Resonance in Medecine and Biology, : , Barcelona, October 2024
Viñals R., Motta P., Thiran J.-P.. Enhancement of Ultrafast Ultrasound Images: a Performance Comparison Between CNN Trained with RF or IQ Images - 2024 IEEE Ultrasonics, Ferroelectrics, and Frequency Control Joint Symposium (UFFC-JS), : , Taipei, September 2024
Beuret S., Thiran J. P.. Using Windowed Radon Transform to Measure Local Coherence Independently of Speed-of-Sound Variations in Plane-Wave Imaging - 2024 IEEE Ultrasonics, Ferroelectrics, and Frequency Control Joint Symposium (UFFC-JS), : , Taipei, September 2024
Spagnolo F., Gordaliza P.M., Lu P.J., Ocampo Pineda M., Chen X., Weigel M., Wynen M., Absinta M., Maggi P., Bach Cuadra M., Andrearczyk V., Depeursinge A., Granziera C. 4o. Explainability in automatic Paramagnetic Rim Lesion classification - European Committee For Treatment And Research In Multiple Sclerosis, : , Copenhagen, September 2024
Wynen M., Vanden Bulcke C., Borrelli S., Gordaliza P.M., Stölting A., Macq B., Du Pasquier R., Filippi M., Absinta M., Reich D.S., Bach Cuadra M., Maggi P.. Towards Integration of the Central Vein Sign, Cortical Lesions and Paramagnetic Rim Lesions into Multiple Sclerosis Diagnosis: Insights from Explainable Machine Learning - European Committee for Treatment and Research in Multiple Sclerosis, : , Copenhagen, September 2024
Stampacchia S., Asadi S., Tomczyk S., Ribaldi F., Scheffler M., Lövblad K. O., Pievani M., Fall A. B., Preti M. G., Unschuld P. G., Van De Ville D., Blanke O., Frisoni G. B., Garibotto V., Amico E.. Fingerprints of brain disease: connectome identifiability in Alzheimer’s disease - Communications Biology, 7: 1169, 18 September 2024
Gomez Y., Valenzuela I., Marti G., Nakaki A., Crovetto F., Baud D., Sanchez T., Bach Cuadra M., Crispi F., Gratacos E., Eixarch E.. Fetal brain biometry and sulcal depth in uncomplicated pregnancies: an interrater correlation coefficient study in low- versus super-resolution MRI - International Society of Ultrasound in Obstetrics and Gynecology (ISUOG), : , Budapest, September 2024
Gomez Y., Valenzuela I., Marti G., Nakaki A., Crovetto F., Baud D., Sanchez T., Bach Cuadra M., Crispi F., Gratacos E., Eixarch E.. Fetal brain biometry and sulcal depth in uncomplicated pregnancies: an interrater correlation coefficient study in low- versus super-resolution MRI - Ultrasound in Obstetrics & Gynecology, 64: 90-90, 09 September 2024
Stampacchia S., Asadi S., Tomczyk S., Ribaldi F., Scheffler M., Lövblad K.O., Pievani M., Fall A.B., Preti M.G., Unschuld P.G., Van De Ville D., Blanke O., Frisoni G.B., Garibotto V., Amico E.. Longitudinal Analysis of Brain Function-Structure Dependencies in 22q11.2 Deletion Syndrome and Psychotic Symptoms - Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, 9(9): 882-895, 5 September 2024
Viñals R., Thiran J.-P.. Sequential CNN-Based Enhancement of Ultrafast Ultrasound Imaging for Sparse Arrays - 2024 32nd European Signal Processing Conference (EUSIPCO), : , Lyon, August 2024
Beuret S., Besson A., Sugimoto A., Thiran J.-P.. An Inverse-Problem Approach to the Estimation of Despeckled and Deconvolved Images From Radio-Frequency Signals in Pulse-Echo Ultrasound - IEEE Transactions on Computational Imaging, 10: 1191 - 1206, 12 August 2024
Loukas S., Filippa M., de Almeida J. S., Boehringer A. S., Tolsa C. B., Barcos-Munoz F., Grandjean D. M., Van De Ville D., Hüppi P. S.. Newborn’s neural representation of instrumental and vocal music as revealed by fMRI: A dynamic effective brain connectivity study - Human Brain Mapping, 45(10): , 12 July 2024
Sanchez T., Esteban O., Gomez Y., Pron A., Koob M., Dunet V., Girard N., Jakab A., Eixarch E., Auzias G., Bach Cuadra M.. FetMRQC: A robust quality control system for multi-centric fetal brain MRI - Medical Image Analysis, 97: , 24 July 2024
Ravano V., Andelova M., Piredda G.F., Sommer S., Caneschi S., Roccaro L., Krasensky J., Kudrna M., Uher T., Corredor-Jerez R. A., Disselhorst J. A., Maréchal B., Hilbert T., Thiran J.-P., Richiardi J., Horakova D., Vaneckova M., Kober T.. Microstructural characterization of multiple sclerosis lesion phenotypes using multiparametric longitudinal analysis - Journal of Neurology, 271(9): 5944-5957, 13 July 2024
Hild O., Berriet P., Nallet J., Salvi L., Lenoir M., Henriet J., Thiran J.-P., Auber F., Chaussy Y.. Automation of Wilms’ tumor segmentation by artificial intelligence - Cancer Imaging, 24(1): 83, 02 July 2024
Fall A.B., Preti M.G., Eshmawey M., Kagerer S.M., Van De Ville D., Unschuld P.G., Alzheimer’s Disease Neuroimaging Initiative. Functional network centrality indicates interactions between APOE4 and age across the clinical spectrum of Alzheimer’s Disease - NeuroImage: Clinical, 43(103635): , 26 June 2024
Okudzhava L., Schulz S., Pilorz V., Oster H., Fischi‐Gomez E., Girard G., Machann J., Thiran J.-P., Münte T. F., Heldmann M.. The interplay between white adipose tissue, adipokines, and structural gray matter changes - Human Brain Mapping, 45(9): e26752, 22 June 2024
Molchanova N., Maréchal B., Thiran J.-P., Kober T., Huelnhagen T., Richiardi J., Alzheimer's and the Disease Neuroimaging Initiative. Fast refacing of MR images with a generative neural network lowers re-identification risk and preserves volumetric consistency - Human Brain Mapping, 45(9): e26721, 20 June 2024
Montagrin A., Croote D.E., Preti M.G., Lerman L., Baxter M.G., Schiller D.. The hippocampus dissociates present from past and future goals - Nature Communications, 15(4815): , 06 June 2024
Wynen M., Istasse M., Macias Gordaliza P., Stölting A., Maggi P., Macq B., Bach Cuadra M.. Conflunet: Improving Confluent Lesion Identification In Multiple Sclerosis With Instance Segmentation - 2024 IEEE International Symposium on Biomedical Imaging (ISBI), : , Athens, May 2024
Lin R., Gholipour A., Thiran J.-P., Karimi D., Kebiri H., Bach Cuadra M.. Cross-Age and Cross-Site Domain Shift Impacts on Deep Learning-Based White Matter Fiber Estimation in Newborn and Baby Brains - 2024 IEEE International Symposium on Biomedical Imaging (ISBI), : , Athens, May 2024
Gardier R., Savoy A., Villarreal Haro J. L., Girard G., Canales-Rodríguez E. J., Fischi-Gomez E., Hertanu A., Jelescu I. O., Rafael-Patino J., Thiran J.-P.. Comparing Steam and PGSE Diffusion MRI Signal of RAT Lymph Nodes Using In-Silico Simulations - 2024 IEEE International Symposium on Biomedical Imaging (ISBI), : , Athens, May 2024
Vallejo-Aldana D., Ramírez-Manzanares A., Canales-Rodríguez E. J., Yu T., Cisneros-Mejorado A., Concha L., Rafael-Patiño J., Thiran J.-P.. In-Silico Trained AI for Enhanced T2 Spectrum Imaging and Myelin Water Fraction Mapping in Preclinical 7T MRI - 2024 IEEE International Symposium on Biomedical Imaging (ISBI), : , Athens, May 2024
Pourya M., Boquet-Pujadas A., Unser M.. A Box-Spline Framework for Inverse Problems With Continuous-Domain Sparsity Constraints - IEEE Transactions on Computational Imaging, 10: 790-805, 17 May 2024
James C. E., Müller D. M., Müller C. A. H., Van De Looij Y., Altenmüller E., Kliegel M., Van De Ville D., Marie D.. Randomized controlled trials of non-pharmacological interventions for healthy seniors: Effects on cognitive decline, brain plasticity and activities of daily living—A 23-year scoping review - Heliyon, 10(9): , 15 May 2024
Barranco J., Kebiri H., Esteban Ó., Sznitman R., Langner S., Stachs O., Luyken A. K., Stachs P., Franceschiello B., Bach Cuadra M.. A-Eye: quality control and deep learning segmentation of the complete eye in MRI - International Society for Magnetic Resonance in Medicine, : , Singapore, May 2024
Spagnolo F., Molchanova N., Schaer R., Ocampo-Pineda M., Bach Cuadra M., Melie-Garcia L., Granziera C., Andrearczyk V., Depeursinge A.. Instance-level explanations in multiple sclerosis lesion segmentation: a novel localized saliency map - International Society for Magnetic Resonance in Medicine, : , Singapore, May 2024
Sainz Martinez C., Marques J. P., Tuleasca C., Bach Cuadra M., Jorge J.. Probing the relationship between structure & function in the human thalamus: a contrast-focused, high-resolution study at 7T - International Society for Magnetic Resonance in Medicine, : , Singapore, May 2024
Wynen M., Macias Gordaliza P., Stölting A., Maggi P., Bach Cuadra M., Macq B.. Lesion Instance Segmentation in Multiple Sclerosis: Assessing the Efficacy of Statistical Lesion Splitting - International Society for Magnetic Resonance in Medicine, : , Singapore, May 2024
Kebiri H., Gholipour A., Vasung L., Lin R., Krsnik Ž., Karimi D., Bach Cuadra M.. Deep learning microstructure estimation of developing brains from diffusion MRI: A newborn and fetal study - Medical Image Analysis, 95: , 2 May 2024
Vidal J.P., Danet L., Péran P., Pariente J., Bach Cuadra M., Zahr N. M., Barbeau E. J., Saranathan M.. Robust thalamic nuclei segmentation from T1-weighted MRI using polynomial intensity transformation - Brain Structure and Function, 229: 087–1101, 28 March 2024
Lamon S., du Dumast P., Sanchez T., Dunet V., Pomar L., Vial Y., Koob M., Bach Cuadra M.. Assessment of fetal corpus callosum biometry by 3D super-resolution reconstructed T2-weighted magnetic resonance imaging - Frontiers in Neurology, section Pediatric Neurology, 15: , 26 March 2024
Okudzhava L., Schulz S., Fischi‐Gomez E., Girard G., Machann J., Koch P. J, Thiran J.-P., Münte T. F, Heldmann M.. White adipose tissue distribution and amount are associated with increased white matter connectivity - Human Brain Mapping, 45(5): e26654, 23 March 2024
Wynen M., Gordaliza P.M., Stölting A., Maggi P., Bach Cuadra M., Macq B.. Multimodal segmentation for paramagnetic rim lesion detection in multiple sclerosis - SPIE Medical Imaging, : , California, February 2024
Goujon A., Neumayer S., Unser M.. Learning Weakly Convex Regularizers for Convergent Image-Reconstruction Algorithms - SIAM Journal on Imaging Sciences, 17(1): 91–115, 18 January 2024
Canales‐Rodríguez E.J., Pizzolato M., Zhou F.-L., Barakovic M., Thiran J.-P., Jones D. K., Parker G. J. M., Dyrby T.B.. Pore size estimation in axon-mimicking microfibers with diffusion-relaxation MRI - Magnetic Resonance in Medicine, 91(6): 2579-2596, 08 January 2024