SP CHUV-UNIL (Computational Neuroanatomy and Fetal Imaging)
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
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
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
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
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
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
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
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
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
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
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
Bulcke CV, Wynen M, Detobel J, La Rosa F, Absinta M, Dricot L, Macq B, Bach Cuadra M, Maggi P. BMAT: An open-source BIDS managing and analysis tool - Neuroimage: Clinical, 36: 2213-1582, October 2022
La Rosa F, Wynen M, Al-Louzi O, Beck ES, Huelnhagen T, Maggi P, Thiran JP, Kober T, Shinohara RT, Sati P, Reich DS, Granziera C, Absinta M, Bach Cuadra M. Cortical lesions, central vein sign, and paramagnetic rim lesions in multiple sclerosis: Emerging machine learning techniques and future avenues - NeuroImage: Clinical, 36: 103205, September 2022
Taymourtash A, Kebiri H, Schwartz E, Nenning KH, Tourbier S, Kasprian G, Prayer D, Bach Cuadra M, Langs G. Spatio-temporal motion correction and iterative reconstruction of in-utero fetal fMRI - Medical Image Computing and Computer Assisted Intervention – MICCAI 2022, 13436: 603-612, September 2022
Rahmanzadeh R, Galbusera R, Lu PJ, Bahn E, Weigel M, Barakovic M, Franz J, Nguyen TD, Spincemaille P, Schiavi S, Daducci A, La Rosa F, Absinta M, Sati P, Bach Cuadra M, Radue EW, Leppert D, Kuhle J, Kappos L, Brück W, Reich DS, Stadelmann C, Wang Y, Granziera C. A new advanced MRI biomarker for remyelinated lesions in multiple sclerosis - Annals of Neurology, 92: 486-502, September 2022
Yu T, Hilbert T, Piredda GF, Joseph A, Bonanno G, Zenkhri S, Omoumi P, Bach Cuadra M, Canales-Rodriguez EJ, Kober T, Thiran JP. Validation and generalizability of self-supervised image reconstruction methods for undersampled MRI - Journal of Machine Learning for Biomedical Imaging, 22: 1-31, September 2022
Alemán-Gómez Y, Baumgartner T, Klauser P, Cleusix M, Jenni R, Hagmann P, Conus P, Do KQ, Bach Cuadra M, Baumann PS, Steullet P. Multimodal magnetic resonance imaging depicts widespread and subregion specific anomalies in the thalamus of early-psychosis and chronic schizophrenia patients - Schizophrenia Bulletin, 49(1): 196–207, September 2022
Müller J, La Rosa F, Beaumont J, Tsagkas C, Rahmanzadeh R, Weigel M, Bach Cuadra M, Gambarota G, Granziera C. Fluid and White Matter Suppression: New Sensitive 3 T Magnetic Resonance Imaging Contrasts for Cortical Lesion Detection in Multiple Sclerosis - Investigative Radiology, 1;57(9): 592-600, September 2022
Aleman-Gómez Y, Griffa A, Houde JC, Najdenovska E, Magon S, Bach Cuadra M, Descoteaux M, Hagmann P. A multi-scale probabilistic atlas of the human connectome - Scientific Data, 516: , August 2022
Di Noto T, Marie G, Tourbier S, Alemán-Gómez Y, Esteban O, Saliou G, Bach Cuadra M, Hagmann P, Richiardi J. Towards automated brain aneurysm detection in TOF-MRA: open data, weak labels, and anatomical knowledge - Neuroinformatics, 21(1): 21-34, August 2022
Tourbier S, Rue-Queralt J, Glomb K, Aleman-Gomez Y, Mullier E, Griffa A, Schöttner M, Wirsich J, Tuncel MA, Jancovic J, Bach Cuadra M, Hagmann P. Connectome mapper 3: A flexible and open-source pipeline software for multiscale multimodal human connectome mapping - Journal of Open Source Software, 7(74): 4248, June 2022
Lajous H, Roy CW, Hilbert T, de Dumast P, Tourbier S, Alemán-Gómez Y, Yerly J, Yu T, Kebiri H, Payette K, Ledoux JB, Meuli R, Hagmann P, Jakab A, Dunet V, Koob M, Kober T, Stuber M, Bach Cuadra M. A fetal brain Magnetic Resonance acquisition numerical phantom (FaBiAN) - Scientific Reports, 12: 8682, May 2022
Kebiri H, Canales-Rodríguez EJ, Lajous H, de Dumast P, Girard G, Alemán-Gómez Y, Koob M, Jakab A, Bach Cuadra M. Through-plane super-resolution with autoencoders in Diffusion Magnetic Resonance Imaging of the developing human brain - Frontiers in Neurology, 13: 827816, May 2022
Dumast P de, Kebiri H, Payette K, Jakab A, Lajous H, Bach Cuadra M. Synthetic magnetic resonance images for domain adaptation: Application to fetal brain tissue segmentation - 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI), 1(5): , March 2022
La Rosa F, Beck ES, Maranzano J, Todea R-A, van Gelderen P, de Zwart JA, Luciano NJ, Duyn JH, Thiran JP, Granziera C, Reich DS, Sati P, Bach Cuadra M. Multiple sclerosis cortical lesion detection with deep learning at ultra‐high‐field MRI - NMR in Biomedicine, 35(8): e4730, March 2022
Sima DM, Bach Cuadra M, Dyrby TB, Van Leemput K. Computational Neuroimage analysis tools for brain (diseases) biomarkers - Frontiers in Neuroscience, 16: , February 2022
Rahmanzadeh R, Weigel M, Lu PJ, Melie-Garcia L, Nguyen TD, Cagol A, La Rosa F, Barakovic M, Lutti A, Wang Y, Bach Cuadra M, Radue EW, Gaetano L, Kappos L, Kuhle J, Magon S, Granziera C. A comparative assessment of myelin-sensitive measures in multiple sclerosis patients and healthy subjects - NeuroImage: Clinical, 36: 103177, August 2022
Todea RA, Melie Garcia L, Barakovic M, Siebenborn N, Cagol A, Rahmanzadeh R, Galbusera R, Lu PJ, Weigel M, Ruberte E, Radue EW, Schaedelin S, Benkert P, Yaldizli O, Oechtering J, Sinnecker T, Müller S, Achtnichts L, Vehoff J, Disanto G, Findling O, Chan A, Salmen A, Pot C, Lalive P, Zecca C, Derfuss T, Remonda L, Wagner F, Vargas M, Du Pasquier R, Pravata E, Weber J, Gobbi C, Leppert D, Wuerfel J, Kober T, Marechal B, Corredor-Jerez R, Psychogios M, Lieb J, Kappos L, Bach Cuadra M, Kuhle J, Granziera C. Leman-PV as a clinical decision-support tool to assess MS activity: a multicentric longitudinal study at 1.5T and 3T MRI - ECTRIMS 2021 - Multiple Sclerosis Journal, 27(2_SUPPL): 499, October 2021
La Rosa F, Beck ES, Maranzano J, Thiran JP, Granziera C, Reich DS, Sati P, Bach Cuadra M. Automated detection of cortical lesions with single and multi-contrast 7T MRI - ECTRIMS 2021 - Multiple Sclerosis Journal, 27(2_SUPPL): 458-459, October 2021
La Rosa F, Lu PJ, Rahmanzadeh R, Cagol A, Barakovic M, Thiran JP, Granziera C, Bach Cuadra M. CLaiMS-Net: cortical lesions assessment in multiple sclerosis patients via a convolutional neural network and a single 3T MRI acquisition - ECTRIMS 2021 - Multiple Sclerosis Journal, 27(2_SUPPL): 457-458, October 2021
Müller J, Rahmanzadeh R, Tsagkas C, Barakovic M, Lu PJ, Yaldizli O, Weigel M, Beaumont J, La Rosa F, Bach Cuadra M, Kappos L, Kuhle J, Gambarota G, Granziera C. Cortical lesion detection using FLAWS in multiple sclerosis - ECTRIMS 2021 - Multiple Sclerosis Journal, 27(2_SUPPL): 465, October 2021
Rahmanzadeh R, Weigel M, Lu PJ, Melie-Garcia L, Nguyen TD, La Rosa F, Wang Y, Bach Cuadra M, Radue EW, Gaetano L, Magon S, Kappos L, Kuhle J, Granziera C. An assessment of intra-scanner reproducibility of myelin-sensitive MRI measures - ECTRIMS 2021 - Multiple Sclerosis Journal, 27(2_SUPPL): 430-431, October 2021
Kebiri H, Lajous H, Yasser Aleman-Gomez Y, Girard G, Canales Rodriguez E, Tourbier S, Pizzolato M, Ledoux JB, Fornari E, Jakab A, Bach Cuadra M. Quantitative evaluation of enhanced multi-plane clinical fetal diffusion MRI with a crossing-fiber phantom - 12th International Workshop, CDMRI 2021, 13006: 12-22, Strasbourg, France, October 2021
de Dumast P, Kebiri H, Atat C, Dunet V, Koob M, Bach Cuadra M. Segmentation of the cortical plate in fetal brain MRI with a topological loss - Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis. UNSURE 2021, PIPPI 2021, : , Strasbourg, France, October 2021
Di Noto T, Atat C, Gamito Teiga E, Hegi M, Hottinger A, Bach Cuadra M, Hagmann P, Richiardi J. Diagnostic surveillance of high-grade gliomas: towards automated change detection using radiology report classification - Applications of Machine Learning in Pharma and Healthcare Workshop, MICCAI, : , Strasbourg, France, September 2021
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 - Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis. UNSURE 2021, PIPPI 2021, 12959: 157-167, Strasbourg, France, September 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, 46(9): 1251-1270, September 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(639746): 651, 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