• Clement Poiret et al.: Attention-gated 3D CapsNet for robust hippocampal segmentation, Journal of Medical Imaging (Bellingham, Wash.) (2024)

• Sara Petiton et al.: How and why does deep ensemble coupled with transfer learning increase performance in bipolar disorder and schizophrenia classification, 21st IEEE International Symposium on Biomedical Imaging (ISBI 2024) (2024)

• Robin Louiset et al.: SepVAE - a contrastive VAE to separate pathological patterns from healthy ones, Medical Imaging with Deep Learning (MIDL) 2024 (2024)

• Robin Louiset et al.: SepCLR - Separating common from salient patterns with Contrastive Representation Learning, The Twelfth International Conference on Learning Representations (ICLR) 2024 (2024)

• Thibault Dupont et al.: Prediction of post-traumatic stress disorder in family members of ICU patients - a machine learning approach, Intensive Care Medicine (2024)

• Benoit Dufumier et al.: Exploring the potential of representation and transfer learning for anatomical neuroimaging - Application to psychiatry, NeuroImage (2024)

• Pierre Auriau et al.: Supervised Diagnosis Prediction from Cortical Sulci - Toward the Discovery of Eurodevelopmental Biomarkers in Mental Disorders, 21st IEEE International Symposium on Biomedical Imaging (ISBI 2024) (2024)

• Francesca Sibilia et al.: The relationship between negative life events and cortical structural connectivity in adolescents, IBRO Neuroscience Reports (2024)

• Clement Poiret et al.: Attention-gated 3D CapsNet for robust hippocampal segmentation, Journal of Medical Imaging (Bellingham, Wash.) (2024)

• Robin Louiset et al.: Separating common from salient patterns with Contrastive Representation Learning (2024)

• Nils Heukamp et al.: Adolescents’ pain-related ontogeny shares a neural basis with adults’ chronic pain in basothalamo-cortical organization, iScience (2024)

• Guillaume Gros et al.: Whole-brain gray matter maturation trajectories associated with autistic traits from adolescence to early adulthood, Brain Structure and Function (2024)

• Yi-Jun Ge et al.: Genetic architectures of cerebral ventricles and their overlap with neuropsychiatric traits, Nature Human Behaviour (2024)

• Benoit Dufumier et al.: Exploring the potential of representation and transfer learning for anatomical neuroimaging - Application to psychiatry, NeuroImage (2024)

• Haojing Duan et al.: Population clustering of structural brain aging and its association with brain development (2024)

• Sylvane Desrivières et al.: Machine learning models for diagnosis and risk prediction in eating disorders, depression, and alcohol use disorder (2024)

• Shi-Dong Chen et al.: The genetic architecture of the human hypothalamus and its involvement in neuropsychiatric behaviours and disorders, Nature Human Behaviour (2024)

• Lea Backhausen et al.: Adolescent to young adult longitudinal development of subcortical volumes in two European sites with four waves, Human Brain Mapping (2024)

• Corentin Ambroise et al.: Interpretable and integrative deep learning for discovering brain-behaviour associations with stability analysis (2024)

• Xiaoyu Wang et al.: A framework to improve the alignment of individual cytoarchitectonic maps of the Julich-Brain atlas using cortical folding landmarks, Cerebral Cortex (2024)

• Nicole Labra et al.: What do brain endocasts tell us? A comparative analysis of the accuracy of sulcal identification by experts and perspectives in palaeoanthropology, Journal of Anatomy (2024)

• Louise Guillon et al.: Identification of rare cortical folding patterns using unsupervised deep learning, Imaging Neuroscience (2024)

• Antoine Balzeau et al.: À la recherche des particularités du cerveau d’Homo neanderthalensis et d’Homo sapiens, Bulletins et mémoires de la Société d’Anthropologie de Paris. BMSAP (2024)

• Clement Poiret et al.: A fast and robust hippocampal subfields segmentation - HSF revealing lifespan volumetric dynamics, Frontiers in Neuroinformatics (2023)

• Robin Louiset et al.: SepVAE - a contrastive VAE to separate pathological patterns from healthy ones (2023)

• Anton Iftimovici et al.: Longitudinal MicroRNA Signature of Conversion to Psychosis, Schizophrenia Bulletin (2023)

• Anton Iftimovici et al.: Asynchronous neural maturation predicts transition to psychosis, Psychiatry and Clinical Neurosciences (2023)

• Justine Fraize et al.: Enhancing fetal alcohol spectrum disorders diagnosis with a classifier based on the intracerebellar gradient of volumetric undersizing, Human Brain Mapping (2023)

• Yannis Elandaloussi et al.: Understanding the relationship between cerebellar structure and social abilities, Molecular Autism (2023)

• Benoit Dufumier et al.: Rethinking Positive Sampling for Contrastive Learning with Kernel (2023)

• Benoit Dufumier et al.: Integrating Prior Knowledge in Contrastive Learning with Kernel, 40th International Conference on Machine Learning (ICML) 2023 (2023)

• Carlo Barbano et al.: Contrastive learning for regression in multi-site brain age prediction, IEEE 20th International Symposium on Biomedical Imaging (ISBI) 2023 (2023)

• Corentin Ambroise et al.: Multi-View Variational Autoencoders Allow for Interpretability Leveraging Digital Avatars - Application to the HBN Cohort, IEEE 20th International Symposium on Biomedical Imaging (ISBI) 2023 (2023)

• Sarah Yip et al.: Brain Networks and Adolescent Alcohol Use, JAMA Psychiatry (2023)

• Kaizhong Xue et al.: Covariation of preadult environmental exposures, adult brain imaging phenotypes, and adult personality traits, Molecular Psychiatry (2023)

• Chao Xie et al.: A shared neural basis underlying psychiatric comorbidity, Nature Medicine (2023)

• Shitong Xiang et al.: Association between vmPFC gray matter volume and smoking initiation in adolescents, Nature Communications (2023)

• Hélène Vulser et al.: Chronotype, Longitudinal Volumetric Brain Variations Throughout Adolescence, and Depressive Symptom Development, Journal of the American Academy of Child \& Adolescent Psychiatry (2023)

• Yan Sun et al.: Associations of DNA Methylation With Behavioral Problems, Gray Matter Volumes, and Negative Life Events Across Adolescence - Evidence From the Longitudinal IMAGEN Study, Biological Psychiatry (2023)

• Mathilde Roser et al.: 188. Cerebellar Vermis and Depressive Symptoms in Bipolar Disorder, Biological Psychiatry (2023)

• Lu Qi et al.: Differing impact of the COVID-19 pandemic on youth mental health - combined population and clinical study, BJPsych Open (2023)

• Maren Prignitz et al.: The Role of Empathy in Alcohol Use of Bullying Perpetrators and Victims - Lower Personal Empathic Distress Makes Male Perpetrators of Bullying More Vulnerable to Alcohol Use, International Journal of Environmental Research and Public Health (2023)

• Clement Poiret et al.: A fast and robust hippocampal subfields segmentation - HSF revealing lifespan volumetric dynamics, Frontiers in Neuroinformatics (2023)

• Clement Poiret et al.: Can we Agree? On the Rashomon Effect and the Reliability of Post-Hoc Explainable AI (2023)

• Lisa Pijnenburg et al.: Autistic traits and alcohol use in adolescents within the general population, European Child \& Adolescent Psychiatry (2023)

• Roberto Pagano et al.: Arc controls alcohol cue relapse by a central amygdala mechanism, Molecular Psychiatry (2023)

• Tochukwu Nweze et al.: Trajectories of cortical structures associated with stress across adolescence - a bivariate latent change score approach, Journal of Child Psychology and Psychiatry (2023)

• Xavier Navarri et al.: A biologically informed polygenic score of neuronal plasticity moderates the association between cognitive aptitudes and cortical thickness in adolescents, Developmental Cognitive Neuroscience (2023)

• Raka Maitra et al.: Psychotic Like Experiences in Healthy Adolescents are Underpinned by Lower Fronto-Temporal Cortical Gyrification - a Study from the IMAGEN Consortium, Schizophrenia Bulletin (2023)

• Robin Louiset et al.: SepVAE - a contrastive VAE to separate pathological patterns from healthy ones (2023)

• Leon Lotter et al.: Human cortex development is shaped by molecular and cellular brain systems, bioRxiv (2023)

• Zhijie Liao et al.: Hemispheric asymmetry in cortical thinning reflects intrinsic organization of the neurotransmitter systems and homotopic functional connectivity, Proceedings of the National Academy of Sciences (2023)

• Simone Kühn et al.: Trees for brains - Current residential tree cover density and its association with brain structure in young adults, Journal of Environmental Psychology (2023)

• Roxanna Korologou-Linden et al.: The bidirectional effects between cognitive ability and brain morphology - A life course Mendelian randomization analysis (2023)

• Fahad Khalid et al.: Multimodal MRI radiomic models to predict genomic mutations in diffuse intrinsic pontine glioma with missing imaging modalities, Frontiers in Medicine (2023)

• Anton Iftimovici et al.: Asynchronous neural maturation predicts transition to psychosis, Psychiatry and Clinical Neurosciences (2023)

• Nathalie Holz et al.: A stable and replicable neural signature of lifespan adversity in the adult brain, Nature Neuroscience (2023)

• Lisa Hemforth et al.: Interpretable automatic detection of incomplete hippocampal inversions using anatomical criteria, Medical Imaging 2023 - Image Processing (2023)

• C Gomez et al.: Exploration of the Neural Correlates of Consciousness Using Linear Latent Model, 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI) (2023)

• Harshvardhan Gazula et al.: Federated Analysis in COINSTAC Reveals Functional Network Connectivity and Spectral Links to Smoking and Alcohol Consumption in Nearly 2,000 Adolescent Brains, Neuroinformatics (2023)

• René Freichel et al.: Unravelling Robust Brain-Behavior Links of Depressive Symptoms Through Granular Network Models - Understanding Heterogeneity and Clinical Implications (2023)

• René Freichel et al.: Drinking Motives, Personality Traits, Life Stressors-Identifying Pathways to Harmful Alcohol Use in Adolescence Using a Panel Network Approach, Addiction (2023)

• Yannis Elandaloussi et al.: Understanding the relationship between cerebellar structure and social abilities, Molecular Autism (2023)

• Kevin Matos et al.: Temporo-basal sulcal connections - a manual annotation protocol and an investigation of sexual dimorphism and heritability, Brain Structure and Function (2023)

• Alice Chavanne et al.: Anxiety onset in adolescents - a machine-learning prediction, Molecular Psychiatry (2023)

• Zhipeng Cao et al.: Cortical profiles of numerous psychiatric disorders and normal development share a common pattern, Molecular Psychiatry (2023)

• Lea Backhausen et al.: Interplay of early negative life events, development of orbitofrontal cortical thickness and depression in young adulthood, JCPP Advances (2023)

• Corentin Ambroise et al.: Multi-View Variational Autoencoders Allow for Interpretability Leveraging Digital Avatars - Application to the HBN Cohort, IEEE 20th International Symposium on Biomedical Imaging (ISBI) 2023 (2023)

• Corentin Ambroise et al.: MixUp brain-cortical augmentations in self-supervised learning, International Workshop on Machine Learning in Clinical Neuroimaging (2023)

• Matthew Albaugh et al.: Differential associations of adolescent versus young adult cannabis initiation with longitudinal brain change and behavior, Molecular Psychiatry (2023)

• Elida Poo et al.: Fiber bundles simulator using exponential curves to validate fiber clustering algorithms, 18th International Symposium on Medical Information Processing and Analysis (2023)

• Joaquín Molina et al.: Group-wise cortical parcellation based on structural connectivity and hierarchical clustering, 18th International Symposium on Medical Information Processing and Analysis (2023)

• Mohammad Mohammadi et al.: ProbaStem, a pipeline towards the first high-resolution probabilistic atlas of the whole human brainstem, Brain Structure and Function (2023)

• Cristobal Mendoza et al.: Superficial white matter shape characterization using hierarchical clustering and a multi-subject bundle atlas, 18th International Symposium on Medical Information Processing and Analysis (2023)

• B. Herlin et al.: Cross-subject variability of the optic radiation anatomy in a cohort of 1065 healthy subjects, Surgical and Radiologic Anatomy (2023)

• Maëlig Chauvel et al.: In vivo mapping of the deep and superficial white matter connectivity in the chimpanzee brain, NeuroImage (2023)

• Maëlig Chauvel et al.: Comparative analysis of the chimpanzee and human brain superficial structural connectivities (2023)

• Alice Berre et al.: Effet de l’électroconvulsivothérapie sur la microstructure hippocampique dans la dépression sévère - une étude en neurite orientation dispersion and density imaging (NODDI), Journal of Neuroradiology (2023)

• Herve Lemaitre et al.: Genetic variations within human gained enhancer elements affect human brain sulcal morphology, NeuroImage (2023)

• Fahad Khalid et al.: Multimodal MRI radiomic models to predict genomic mutations in diffuse intrinsic pontine glioma with missing imaging modalities, Frontiers in Medicine (2023)

• Hamza Chegraoui et al.: Integrating multiomics and prior knowledge - a study of the Graphnet penalty impact, Bioinformatics (2023)

• Nabil Vindas et al.: GeoLab - Geometry-Based Tractography Parcellation of Superficial White Matter, 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI) (2023)

• Natalia Vidal et al.: Comparing White Matter Fiber Bundle Segmentation Methods for Autism Prediction, 2023 19th International Symposium on Medical Information Processing and Analysis (SIPAIM) (2023)

• Arina Rybina et al.: EOSC-Life Report on the work of the Open Call Projects (2023)

• Jérémy Raffin et al.: Cross-sectional associations between cortical thickness and physical activity in older adults with spontaneous memory complaints - The MAPT Study, Journal of Sport and Health Science (2023)

• Yarelis Prieto et al.: Multiscale cortical parcellation based on geodesic distance and hierarchical clustering, 2023 19th International Symposium on Medical Information Processing and Analysis (SIPAIM) (2023)

• Elida Poo et al.: Fiber bundles simulator using exponential curves to validate fiber clustering algorithms, 18th International Symposium on Medical Information Processing and Analysis (2023)

• Elida Poo et al.: BRAIN FIBER BUNDLE SIMULATOR USING SPLINE CURVES, IBRO Neuroscience Reports (2023)

• Vincent Planche et al.: Validity and Performance of Blood Biomarkers for Alzheimer Disease to Predict Dementia Risk in a Large Clinic-Based Cohort, Neurology (2023)

• Lisa Perus et al.: Impact of multidomain preventive strategies on functional brain connectivity in older adults with cognitive complaint - Subset from the Montpellier center of the ancillary MAPT-MRI study, Frontiers in Aging Neuroscience (2023)

• Joaquín Molina et al.: Group-wise cortical parcellation based on structural connectivity and hierarchical clustering, 18th International Symposium on Medical Information Processing and Analysis (2023)

• Arnaud Messé et al.: Structural basis of envelope and phase intrinsic coupling modes in the cerebral cortex, NeuroImage (2023)

• Cristobal Mendoza et al.: Superficial white matter shape characterization using hierarchical clustering and a multi-subject bundle atlas, 18th International Symposium on Medical Information Processing and Analysis (2023)

• Cristóbal Mendoza et al.: CONVEX HULL BASED FILTERING OF SUPERFICIAL WHITE MATTER FIBER BUNDLES, IBRO Neuroscience Reports (2023)

• Jérémie Lespinasse et al.: Associations among hypertension, dementia biomarkers, and cognition - The MEMENTO cohort, Alzheimer's \& Dementia (2023)

• Herve Lemaitre et al.: Genetic variations within human gained enhancer elements affect human brain sulcal morphology, NeuroImage (2023)

• Nicole Labra et al.: Comparative study of manual identification of brain foldings in a living human brain using a proxy-endocast obtained from MRI, Bulletins et mémoires de la Société d’Anthropologie de Paris. BMSAP (2023)

• William Hopkins et al.: Genetic determinants of individual variation in the superior temporal sulcus of chimpanzees (Pan troglodytes), Cerebral Cortex (2023)

• Miguel Guevara et al.: Définition de la normalité du fer intracérébral par IRM/QSM pour le diagnostic des maladies neurodégénératives, Journées Francophones de Radiologie 2023 (2023)

• Leslie Grasset et al.: Physical activity, biomarkers of brain pathologies and dementia risk - Results from the Memento clinical cohort, Alzheimer's \& Dementia (2023)

• Emmanuel Gonzalez-Bautista et al.: Development and Validation of a Cutoff for the Chair Stand Test as a Screening for Mobility Impairment in the Context of the Integrated Care for Older People Program, The Journals of Gerontology - Series A (2023)

• Andrea Gondová et al.: Predicting neurodevelopmental outcomes from neonatal cortical microstructure - A conceptual replication study, Neuroimage - Reports (2023)

• Ophelie Foubet et al.: On the Shapes of the Precentral Gyrus of Humans and Chimpanzees (2023)

• Héloïse De Vareilles et al.: Exploring the emergence of morphological asymmetries around the brain’s Sylvian fissure - a longitudinal study of shape variability in preterm infants, Cerebral Cortex (2023)

• H. Vareilles et al.: Development of cortical folds in the human brain - An attempt to review biological hypotheses, early neuroimaging investigations and functional correlates, Developmental Cognitive Neuroscience (2023)

• Maëlig Chauvel et al.: In vivo mapping of the deep and superficial white matter connectivity in the chimpanzee brain, NeuroImage (2023)

• Charles Laidi et al.: Cerebellar atypicalities in autism?, Biological Psychiatry (2022)

• Anton Iftimovici et al.: Brain anomalies in early psychosis - From secondary to primary psychosis, Neuroscience \& Biobehavioral Reviews (2022)

• Thomas Fovet et al.: Decoding Activity in Broca's Area Predicts the Occurrence of Auditory Hallucinations Across Subjects, Biological Psychiatry (2022)

• Benoit Dufumier et al.: OpenBHB - a Large-Scale Multi-Site Brain MRI Data-set for Age Prediction and Debiasing, NeuroImage (2022)

• Jiayuan Xu et al.: Global urbanicity is associated with brain and behaviour in young people, Nature Human Behaviour (2022)

• Jiayuan Xu et al.: A causal association of ANKRD37 with human hippocampal volume, Molecular Psychiatry (2022)

• Yara Toenders et al.: Predicting Depression Onset in Young People Based on Clinical, Cognitive, Environmental, and Neurobiological Data, Biological Psychiatry - Cognitive Neuroscience and Neuroimaging (2022)

• Roshan Rane et al.: Structural differences in adolescent brains can predict alcohol misuse, eLife (2022)

• Emily Perkins et al.: Assessing general versus specific liability for externalizing problems in adolescence - Concurrent and prospective prediction of symptoms of conduct disorder, ADHD, and substance use, Journal of Psychopathology and Clinical Science (2022)

• Max Owens et al.: Bayesian causal network modeling suggests adolescent cannabis use accelerates prefrontal cortical thinning, Translational Psychiatry (2022)

• Jonatan Ottino-González et al.: Brain structural covariance network differences in adults with alcohol dependence and heavy-drinking adolescents, Addiction (2022)

• Frauke Nees et al.: Global and Regional Structural Differences and Prediction of Autistic Traits during Adolescence, Brain Sciences (2022)

• Wen Li et al.: Anatomical connectivity profile development constrains medial-lateral topography in the dorsal prefrontal cortex, bioRxiv (2022)

• Anna Kaiser et al.: A Developmental Perspective on Facets of Impulsivity and Brain Activity Correlates From Adolescence to Adulthood, Biological Psychiatry - Cognitive Neuroscience and Neuroimaging (2022)

• Miguel Guevara et al.: Disentangling the variability of the superficial white matter organization using regional-tractogram-based population stratification, NeuroImage (2022)

• Antoine Grigis et al.: Interpretable Signature of Consciousness in Resting-State Functional Network Brain Activity, International Conference on Medical Image Computing and Computer-Assisted Intervention (2022)

• Chloé Gomez et al.: Characterization of Brain Activity Patterns Across States of Consciousness Based on Variational Auto-Encoders, International Conference on Medical Image Computing and Computer-Assisted Intervention (2022)

• Juliane Fröhner et al.: Associations of delay discounting and drinking trajectories from ages 14 to 22, Alcoholism - Clinical and Experimental Research (2022)

• Samuel Farrens et al.: PySAP - From Galaxies to Brains and Beyond, Astronomical Society of the Pacific Conference Series (2022)

• Benoit Dufumier et al.: OpenBHB - a Large-Scale Multi-Site Brain MRI Data-set for Age Prediction and Debiasing, NeuroImage (2022)

• Di Chen et al.: Brain Signatures During Reward Anticipation Predict Persistent Attention-Deficit/Hyperactivity Disorder Symptoms, Journal of the American Academy of Child and Adolescent Psychiatry (2022)

• Rachel Brouwer et al.: Genetic variants associated with longitudinal changes in brain structure across the lifespan, Nature neuroscience (2022)

• Boris Böttinger et al.: Orbitofrontal control of conduct problems? Evidence from healthy adolescents processing negative facial affect, European Child \& Adolescent Psychiatry (2022)

• Raïssa Yebga Hot et al.: A novel male Japanese quail structural connectivity atlas using ultra-high field diffusion MRI at 11.7 T, Brain Structure and Function (2022)

• S. Sarrazin et al.: A multicentric multimodal in vivo microscopy MRI study of bipolar disorder reveals axonal loss and demyelination, European Psychiatry (2022)

• Claudio Román et al.: Superficial white matter bundle atlas based on hierarchical fiber clustering over probabilistic tractography data, NeuroImage (2022)

• Leila Nabulsi et al.: Aberrant Subnetwork and Hub Dysconnectivity in Adult Bipolar Disorder - A Multicenter Graph Theory Analysis, Cerebral Cortex (2022)

• Miguel Guevara et al.: Disentangling the variability of the superficial white matter organization using regional-tractogram-based population stratification, NeuroImage (2022)

• Yasmina Mekki et al.: The genetic architecture of language functional connectivity, NeuroImage (2022)

• Arnaud Gloaguen et al.: Multiway generalized canonical correlation analysis, Biostatistics (2022)

• Annabelle Beaudoin et al.: Etude de la Pénalisation GraphNet en Analyse de Données Multi-blocs (2022)

• Michael Schirner et al.: Brain simulation as a cloud service - The Virtual Brain on EBRAINS, NeuroImage (2022)

• Claudio Román et al.: Superficial white matter bundle atlas based on hierarchical fiber clustering over probabilistic tractography data, NeuroImage (2022)

• Denis Rivière et al.: Browsing Multiple Subjects When the Atlas Adaptation Cannot Be Achieved via a Warping Strategy, Frontiers in Neuroinformatics (2022)

• Mélina Régy et al.: Association of \textitAPOE ε4 with cerebral gray matter volumes in non-demented older adults - The MEMENTO cohort study, NeuroImage (2022)

• Lisa Perus et al.: Effects of preventive interventions on neuroimaging biomarkers in subjects at-risk to develop Alzheimer's disease - A systematic review, Frontiers in Aging Neuroscience (2022)

• Marion Mortamais et al.: Sulcal morphology as cognitive decline predictor in older adults with memory complaints, Neurobiology of Aging (2022)

• Olivier Hanon et al.: Plasma amyloid beta predicts conversion to dementia in subjects with mild cognitive impairment - The BALTAZAR study, Alzheimer's \& Dementia (2022)

• Miguel Guevara et al.: Disentangling the variability of the superficial white matter organization using regional-tractogram-based population stratification, NeuroImage (2022)

• Leslie Grasset et al.: Explaining the association between social and lifestyle factors and cognitive functions - a pathway analysis in the Memento cohort, Alzheimer's Research \& Therapy (2022)

• David Devos et al.: Trial of Deferiprone in Parkinson’s Disease, New England Journal of Medicine (2022)

• Héloïse Vareilles et al.: Shape variability of the central sulcus in the developing brain - A longitudinal descriptive and predictive study in preterm infants, NeuroImage (2022)

• Giulia Coarelli et al.: Safety and efficacy of riluzole in spinocerebellar ataxia type 2 in France (ATRIL) - a multicentre, randomised, double-blind, placebo-controlled trial, The Lancet Neurology (2022)

• Joël Chavas et al.: Unsupervised Representation Learning of Cingulate Cortical Folding Patterns, Medical Image Computing and Computer Assisted Intervention – MICCAI 2022 (2022)

• Arnaud Cachia et al.: Mapping the human brain from the prenatal period to infancy using 3D magnetic reonance imaging, The Cambridge Handbook of Congitive Development (2022)

• Frederic Blanc et al.: Prodromal characteristics of dementia with Lewy bodies - baseline results of the MEMENTO memory clinics nationwide cohort, Alzheimer's Research \& Therapy (2022)

• Davide Angioni et al.: Neuroimaging correlates of persistent fatigue in older adults - A secondary analysis from the Multidomain Alzheimer Preventive Trial (MAPT) trial, Aging \& Mental Health (2022)

• D. Angioni et al.: Biomarkers of Age-Related Frailty and Frailty Related to Diseases - An Exploratory, Cross-Sectional Analysis from the MAPT Study, The Journal of nutrition, health and aging (2022)

• Camille Piguet et al.: Irritability Is Associated With Decreased Cortical Surface Area and Anxiety With Decreased Gyrification During Brain Development, Frontiers in Psychiatry (2021)

• Robin Louiset et al.: UCSL - A Machine Learning Expectation-Maximization framework for Unsupervised Clustering driven by Supervised Learning, Joint European Conference on Machine Learning and Knowledge Discovery in Databases (ECML/PKDD) 2021 (2021)

• Franz Hozer et al.: Lithium prevents grey matter atrophy in patients with bipolar disorder - an international multicenter study, Psychological Medicine (2021)

• Benoit Dufumier et al.: Contrastive Learning with Continuous Proxy Meta-Data for 3D MRI Classification, 24th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) 2021 (2021)

• Benoit Dufumier et al.: Conditional Alignment and Uniformity for Contrastive Learning with Continuous Proxy Labels (2021)

• Zuo Zhang et al.: Development of Disordered Eating Behaviors and Comorbid Depressive Symptoms in Adolescence - Neural and Psychopathological Predictors, Biological Psychiatry (2021)

• Chao Xie et al.: Reward Versus Nonreward Sensitivity of the Medial Versus Lateral Orbitofrontal Cortex Relates to the Severity of Depressive Symptoms, Biological Psychiatry - Cognitive Neuroscience and Neuroimaging (2021)

• Christiane Wesarg et al.: The interaction of child abuse and rs1360780 of the FKBP5 gene is associated with amygdala resting-state functional connectivity in young adults, Human brain mapping (2021)

• Lena Wendel et al.: Residual effects of cannabis-use on neuropsychological functioning, Cognitive Development (2021)

• Haiyan Wang et al.: Functional Connectivity Predicts Individual Development of Inhibitory Control during Adolescence, Cerebral Cortex (2021)

• Mira Tschorn et al.: Differential predictors for alcohol use in adolescents as a function of familial risk, Translational psychiatry (2021)

• Gunter Schumann et al.: Satellite Imaging of Global Urbanicity relates to Brain and Behavior in Young People (2021)

• Shile Qi et al.: Reward Processing in Novelty Seekers - A Transdiagnostic Psychiatric Imaging Biomarker, Biological Psychiatry (2021)

• Matthew Price et al.: Examination of the association between exposure to childhood maltreatment and brain structure in young adults - a machine learning analysis, Neuropsychopharmacology (2021)

• Camille Piguet et al.: Irritability Is Associated With Decreased Cortical Surface Area and Anxiety With Decreased Gyrification During Brain Development, Frontiers in Psychiatry (2021)

• Lukas Penninck et al.: Immune-Related Genetic Overlap Between Regional Gray Matter Reductions and Psychiatric Symptoms in Adolescents, and Gene-Set Validation in a Translational Model, Frontiers in Systems Neuroscience (2021)

• Max Owens et al.: Bayesian Causal Network Modeling Suggests Adolescent Cannabis Use Promotes Accelerated Prefrontal Cortical Thinning (2021)

• Amirhossein Modabbernia et al.: Linked patterns of biological and environmental covariation with brain structure in adolescence - a population-based longitudinal study, Molecular Psychiatry (2021)

• Robin Louiset et al.: UCSL - A Machine Learning Expectation-Maximization framework for Unsupervised Clustering driven by Supervised Learning, Joint European Conference on Machine Learning and Knowledge Discovery in Databases (ECML/PKDD) 2021 (2021)

• Zhijie Liao et al.: Similarity and stability of face network across populations and throughout adolescence and adulthood, NeuroImage (2021)

• Roxanna Korologou-Linden et al.: The bidirectional causal effects of brain morphology across the life course and risk of Alzheimer’s disease - A cross-cohort comparison and Mendelian randomization meta-analysis (2021)

• Tianye Jia et al.: Neural network involving medial orbitofrontal cortex and dorsal periaqueductal gray regulation in human alcohol abuse, Science Advances (2021)

• Iliyan Ivanov et al.: Substance Use Initiation, Particularly Alcohol, in Drug-Naive Adolescents - Possible Predictors and Consequences From a Large Cohort Naturalistic Study, Journal of the American Academy of Child and Adolescent Psychiatry (2021)

• Benoit Dufumier et al.: Contrastive Learning with Continuous Proxy Meta-Data for 3D MRI Classification, 24th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) 2021 (2021)

• Benoit Dufumier et al.: Conditional Alignment and Uniformity for Contrastive Learning with Continuous Proxy Labels (2021)

• Benoit Dufumier et al.: Benchmarking CNN on 3D Anatomical Brain MRI - Architectures, Data Augmentation and Deep Ensemble Learning (2021)

• Laura Daedelow et al.: Are psychotic-like experiences related to a discontinuation of cannabis consumption in young adults?, Schizophrenia Research (2021)

• Hamza Chegraoui et al.: Object Detection Improves Tumour Segmentation in MR Images of Rare Brain Tumours, Cancers (2021)

• Zhipeng Cao et al.: Characterizing reward system neural trajectories from adolescence to young adulthood, Developmental Cognitive Neuroscience (2021)

• C Ambroise et al.: Multi-modal Latent Variable Model could help individuals stratification - application to HBN cohort (2021)

• Matthew Albaugh et al.: Association of Cannabis Use During Adolescence With Neurodevelopment, JAMA Psychiatry (2021)

• Joseph Yang et al.: Diffusion MRI tractography for neurosurgery - the basics, current state, technical reliability and challenges, Physics in Medicine \& Biology (2021)

• Christopher Vergara et al.: Group-Wise Cortical Surface Parcellation Based on Inter-Subject Fiber Clustering, 2021 43rd Annual International Conference of the IEEE Engineering in Medicine \& Biology Society (EMBC) (2021)

• Kurt Schilling et al.: Tractography dissection variability - What happens when 42 groups dissect 14 white matter bundles on the same dataset?, NeuroImage (2021)

• C. Román et al.: Study Of Precentral-Postcentral Connections On Hcp Data Using Probabilistic Tractography And Fiber Clustering, 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI) (2021)

• Ignacio Osorio et al.: ABrainVis - an android brain image visualization tool, BioMedical Engineering OnLine (2021)

• C. Mendoza et al.: Enhanced Automatic Segmentation for Superficial White Matter Fiber Bundles for Probabilistic Tractography Datasets, 2021 43rd Annual International Conference of the IEEE Engineering in Medicine \& Biology Society (EMBC) (2021)

• François Lechanoine et al.: WIKIBrainStem - An online atlas to manually segment the human brainstem at the mesoscopic scale from ultrahigh field MRI, NeuroImage (2021)

• Isaac Goicovich et al.: Fiber Clustering Acceleration With a Modified Kmeans++ Algorithm Using Data Parallelism, Frontiers in Neuroinformatics (2021)

• Ivana Drobnjak et al.: Physical and digital phantoms for validating tractography and assessing artifacts, NeuroImage (2021)

• Amine Rebei et al.: Contribution Of Imaging-Genetics To Overall Survival Prediction Compared To Clinical Status For Pcnsl Patients, 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI) (2021)

• Slim Karkar et al.: Genome-wide haplotype association study in imaging genetics using whole-brain sulcal openings of 16,304 UK Biobank subjects, European Journal of Human Genetics (2021)

• Vincent Guillemot et al.: Introducing group-sparsity and orthogonality constraints in RGCCA, JdS2021 - 52èmes Journées de Statistique (2021)

• Hamza Chegraoui et al.: Prediction Performance of Radiomic Features When Obtained using an Object Detection Framework, 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI) (2021)

• Hamza Chegraoui et al.: Object Detection Improves Tumour Segmentation in MR Images of Rare Brain Tumours, Cancers (2021)

• Raphaël Calmon et al.: Radiogenomics of diffuse intrinsic pontine gliomas (DIPGs) - correlation of histological and biological characteristics with multimodal MRI features, European Radiology (2021)

• Christopher Vergara et al.: Group-Wise Cortical Surface Parcellation Based on Inter-Subject Fiber Clustering, 2021 43rd Annual International Conference of the IEEE Engineering in Medicine \& Biology Society (EMBC) (2021)

• Kurt Schilling et al.: Tractography dissection variability - What happens when 42 groups dissect 14 white matter bundles on the same dataset?, NeuroImage (2021)

• C. Román et al.: Study Of Precentral-Postcentral Connections On Hcp Data Using Probabilistic Tractography And Fiber Clustering, 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI) (2021)

• Jérémy Raffin et al.: Cross-sectional and longitudinal interaction effects of physical activity and \textitAPOE-\textitε4 on white matter integrity in older adults - The MAPT study, Maturitas (2021)

• Vincent Planche et al.: Clinical relevance of brain atrophy subtypes categorization in memory clinics, Alzheimer's \& Dementia (2021)

• Ignacio Osorio et al.: ABrainVis - an android brain image visualization tool, BioMedical Engineering OnLine (2021)

• C. Mendoza et al.: Enhanced Automatic Segmentation for Superficial White Matter Fiber Bundles for Probabilistic Tractography Datasets, 2021 43rd Annual International Conference of the IEEE Engineering in Medicine \& Biology Society (EMBC) (2021)

• Wan-Hsuan Lu et al.: Biological and Neuroimaging Markers as Predictors of 5-Year Incident Frailty in Older Adults - A Secondary Analysis of the MAPT Study, The Journals of Gerontology - Series A (2021)

• Wan-Hsuan Lu et al.: Associations Between Nutritional Deficits and Physical Performance in Community-Dwelling Older Adults, Frontiers in Nutrition (2021)

• Mikel Lizarazu et al.: Neural entrainment to speech and nonspeech in dyslexia - Conceptual replication and extension of previous investigations, Cortex (2021)

• Slim Karkar et al.: Genome-wide haplotype association study in imaging genetics using whole-brain sulcal openings of 16,304 UK Biobank subjects, European Journal of Human Genetics (2021)

• Franz Hozer et al.: Lithium prevents grey matter atrophy in patients with bipolar disorder - an international multicenter study, Psychological Medicine (2021)

• Lingxiao He et al.: Five‐Year Lower Extremity Function is Associated with White Matter Abnormality in Older Adults, Journal of the American Geriatrics Society (2021)

• Adam Harvey et al.: Increased representation of the non-dominant hand in pianists demonstrated by measurement of 3D morphology of the central sulcus, Psychoradiology (2021)

• Louise Guillon et al.: Detection of Abnormal Folding Patterns with Unsupervised Deep Generative Models, Machine Learning in Clinical Neuroimaging (2021)

• Florent Guerville et al.: Kidney Function and Cognitive Decline in Older Adults - Examining the Role of Neurodegeneration, Journal of the American Geriatrics Society (2021)

• Isaac Goicovich et al.: Fiber Clustering Acceleration With a Modified Kmeans++ Algorithm Using Data Parallelism, Frontiers in Neuroinformatics (2021)

• Eric Frison et al.: Diabetes Mellitus and Cognition, Neurology (2021)

• Arnaud Cachia et al.: Towards Deciphering the Fetal Foundation of Normal Cognition and Cognitive Symptoms From Sulcation of the Cortex, Frontiers in Neuroanatomy (2021)

• Léonie Borne et al.: Automatic recognition of specific local cortical folding patterns, NeuroImage (2021)

• Lucie Berkovitch et al.: Disruption of Conscious Access in Psychosis Is Associated with Altered Structural Brain Connectivity, Journal of Neuroscience (2021)

• Antoine Balzeau et al.: What Are the Synergies between Paleoanthropology and Brain Imaging?, Symmetry (2021)

• Balazs Aczel et al.: Consensus-based guidance for conducting and reporting multi-analyst studies, eLife (2021)

• Jacques Stout et al.: Accumulation of Lithium in the Hippocampus of Patients With Bipolar Disorder - A Lithium-7 Magnetic Resonance Imaging Study at 7 Tesla, Biological Psychiatry (2020)

• Jean-Francois Mangin et al.: Neocortical morphometry in Huntington's disease - Indication of the coexistence of abnormal neurodevelopmental and neurodegenerative processes, NeuroImage - Clinical (2020)

• Edouard Duchesnay et al.: Neuroimaging Signatures of Brain Disorders - Fighting Overfitting in Predictive Models (2020)

• Laurie-Anne Claude et al.: Will machine learning applied to neuroimaging in bipolar disorder help the clinician? A critical review and methodological suggestions, Bipolar Disorders (2020)

• Christopher Ching et al.: What we learn about bipolar disorder from large-scale neuroimaging - Findings and future directions from the ENIGMA Bipolar Disorder Working Group, Human Brain Mapping (2020)

• Jordy Tasserie et al.: Pypreclin - An automatic pipeline for macaque functional MRI preprocessing, NeuroImage (2020)

• ZY Sun et al.: Manifold-based exploration of the links between precentral sulcus interruptions and language-associated area 55b (2020)

• Philip Spechler et al.: Longitudinal associations between amygdala reactivity and cannabis use in a large sample of adolescents, Psychopharmacology (2020)

• A Rosenthal et al.: THE RELATIONSHIP BETWEEN AMYGDALA NEURAL ACTIVATION IN RESPONSE TO EMOTIONAL STIMULI WITH DEPRESSIVE SYMPTOMS AND PROBLEMATIC DRINKING, Alcoholism-clinical and experimental research (2020)

• Lauren Robinson et al.: Association of Genetic and Phenotypic Assessments With Onset of Disordered Eating Behaviors and Comorbid Mental Health Problems Among Adolescents, JAMA Network Open (2020)

• Evangelos Papanastasiou et al.: Examination of the neural basis of psychotic-like experiences in adolescenceduring processing of emotional faces, Scientific Reports (2020)

• Evangelos Papanastasiou et al.: Examination of the neural basis of psychotic-like experiences in adolescence during processing of emotional faces, Scientific Reports (2020)

• Michael Milham et al.: Accelerating the Evolution of Nonhuman Primate Neuroimaging, Neuron (2020)

• Angeline Mihailov et al.: Cortical signatures in behaviorally clustered autistic traits subgroups - a population-based study, Translational Psychiatry (2020)

• Mathieu Maltais et al.: Prospective Associations Between Diffusion Tensor Imaging Parameters and Frailty in Older Adults, Journal of the American Geriatrics Society (2020)

• Mathieu Maltais et al.: Prospective associations between physical activity levels and white matter integrity in older adults - results from the MAPT study, Maturitas (2020)

• Simone Kühn et al.: Predicting change trajectories of neuroticism from baseline brain structure using whole brain analyses and latent growth curve models in adolescents, Scientific Reports (2020)

• Simone Kühn et al.: Hierarchical associations of alcohol use disorder symptoms in late adolescence with markers during early adolescence, Addictive Behaviors (2020)

• Simone Kühn et al.: Brain structure and habitat - Do the brains of our children tell us where they have been brought up?, NeuroImage (2020)

• Nicholas Judd et al.: Cognitive and brain development is independently influenced by socioeconomic status and polygenic scores for educational attainment, Proceedings of the National Academy of Sciences (2020)

• Tianye Jia et al.: Neurobehavioural characterisation and stratification of reinforcement-related behaviour, Nature Human Behaviour (2020)

• Ellen Ji et al.: Alterations In Short-Range Structural Connectivity Across The Psychosis Spectrum - Findings From The B-Snip Study, Schizophrenia Bulletin (2020)

• Alexa Haeger et al.: Imaging the aging brain - study design and baseline findings of the SENIOR cohort, Alzheimer's Research \& Therapy (2020)

• Antoine Grigis et al.: Predicting cortical signatures of consciousness using dynamic functional connectivity graph-convolutional neural networks, bioRxiv (2020)

• A Grigis et al.: Learning to leverage salient regions in neuro-oncology using Deap Learning, bioRxiv (2020)

• S Farrens et al.: PySAP - Python Sparse data Analysis Package, Astrophysics Source Code Library (2020)

• S Farrens et al.: PySAP - Python Sparse Data Analysis Package for multidisciplinary image processing, Astronomy and Computing (2020)

• Loubna El Gueddari et al.: PySAP-MRI - A Python package for MR image reconstruction, ISMRM workshop on Data Sampling and Image Reconstruction (2020)

• Claire Cury et al.: Genome wide association study of incomplete hippocampal inversion in adolescents, PLoS One (2020)

• Rachel Brouwer et al.: Dynamics of brain structure and its genetic architecture over the lifespan (2020)

• Rachel Brouwer et al.: Age-dependent genetic variants associated with longitudinal changes in brain structure across the lifespan, bioRxiv (2020)

• Han Bossier et al.: The empirical replicability of task-based fMRI as a function of sample size, NeuroImage (2020)

• Andrea Vázquez et al.: FFClust - Fast fiber clustering for large tractography datasets for a detailed study of brain connectivity, NeuroImage (2020)

• Andrea Vázquez et al.: Automatic group-wise whole-brain short association fiber bundle labeling based on clustering and cortical surface information, BioMedical Engineering OnLine (2020)

• Samuel Sarrazin et al.: Neuroimaging Evidence for Increased Neurite Density in Patients Taking Lithium - A Replication Study, Psychotherapy and Psychosomatics (2020)

• Nadya Pyatigorskaya et al.: Multimodal Magnetic Resonance Imaging Quantification of Brain Changes in Progressive Supranuclear Palsy, Movement Disorders (2020)

• Narciso Lopez-Lopez et al.: GeoSP - A parallel method for a cortical surface parcellation based on geodesic distance, 2020 42nd Annual International Conference of the IEEE Engineering in Medicine \& Biology Society (EMBC) (2020)

• Narciso López-López et al.: From Coarse to Fine-Grained Parcellation of the Cortical Surface Using a Fiber-Bundle Atlas, Frontiers in Neuroinformatics (2020)

• Ellen Ji et al.: Alterations In Short-Range Structural Connectivity Across The Psychosis Spectrum - Findings From The B-Snip Study, Schizophrenia Bulletin (2020)

• Isaías Huerta et al.: Inter-Subject Clustering of Brain Fibers from Whole-Brain Tractography, 2020 42nd Annual International Conference of the IEEE Engineering in Medicine \& Biology Society (EMBC) (2020)

• Alexa Haeger et al.: Imaging the aging brain - study design and baseline findings of the SENIOR cohort, Alzheimer's Research \& Therapy (2020)

• Angeline Mihailov et al.: Cortical signatures in behaviorally clustered autistic traits subgroups - a population-based study, Translational Psychiatry (2020)

• Yann Le Guen et al.: Enhancer Locus in ch14q23.1 Modulates Brain Asymmetric Temporal Regions Involved in Language Processing, Cerebral Cortex (2020)

• Slim Karkar et al.: Alzheimer's polygenic risk score in general population reveals new biomarkers for early diagnosis, Alzheimer's \& Dementia (2020)

• Anna Di Stefano et al.: Clinical, molecular, and radiomic profile of gliomas with FGFR3-TACC3 fusions, Neuro-Oncology (2020)

• Jet Vonk et al.: Semantic loss marks early Alzheimer's disease-related neurodegeneration in older adults without dementia, Alzheimer's \& Dementia - Diagnosis, Assessment \& Disease Monitoring (2020)

• Andrea Vázquez et al.: FFClust - Fast fiber clustering for large tractography datasets for a detailed study of brain connectivity, NeuroImage (2020)

• Andrea Vázquez et al.: Automatic group-wise whole-brain short association fiber bundle labeling based on clustering and cortical surface information, BioMedical Engineering OnLine (2020)

• ZY Sun et al.: Manifold-based exploration of the links between precentral sulcus interruptions and language-associated area 55b (2020)

• Samuel Sarrazin et al.: Neuroimaging Evidence for Increased Neurite Density in Patients Taking Lithium - A Replication Study, Psychotherapy and Psychosomatics (2020)

• Fabrizio Pizzagalli et al.: The reliability and heritability of cortical folds and their genetic correlations across hemispheres, Communications Biology (2020)

• Jean-Francois Mangin et al.: Neocortical morphometry in Huntington's disease - Indication of the coexistence of abnormal neurodevelopmental and neurodegenerative processes, NeuroImage - Clinical (2020)

• Mathieu Maltais et al.: Prospective Associations Between Diffusion Tensor Imaging Parameters and Frailty in Older Adults, Journal of the American Geriatrics Society (2020)

• Mathieu Maltais et al.: Prospective associations between physical activity levels and white matter integrity in older adults - results from the MAPT study, Maturitas (2020)

• Wan-Hsuan Lu et al.: Cross-sectional and prospective associations between cerebral cortical thickness and frailty in older adults, Experimental Gerontology (2020)

• Narciso Lopez-Lopez et al.: GeoSP - A parallel method for a cortical surface parcellation based on geodesic distance, 2020 42nd Annual International Conference of the IEEE Engineering in Medicine \& Biology Society (EMBC) (2020)

• Narciso López-López et al.: From Coarse to Fine-Grained Parcellation of the Cortical Surface Using a Fiber-Bundle Atlas, Frontiers in Neuroinformatics (2020)

• Yann Leprince et al.: The morphological evolution of the primate brain revealed by alignment of the cortical sulci (2020)

• Yann Le Guen et al.: Enhancer Locus in ch14q23.1 Modulates Brain Asymmetric Temporal Regions Involved in Language Processing, Cerebral Cortex (2020)

• Isaías Huerta et al.: Inter-Subject Clustering of Brain Fibers from Whole-Brain Tractography, 2020 42nd Annual International Conference of the IEEE Engineering in Medicine \& Biology Society (EMBC) (2020)

• Alexa Haeger et al.: Imaging the aging brain - study design and baseline findings of the SENIOR cohort, Alzheimer's Research \& Therapy (2020)

• Miguel Guevara et al.: Superficial white matter - A review on the dMRI analysis methods and applications, NeuroImage (2020)

• Virginie Dauphinot et al.: Subjective cognitive and non-cognitive complaints and brain MRI biomarkers in the MEMENTO cohort, Alzheimer's \& Dementia - Diagnosis, Assessment \& Disease Monitoring (2020)

• Andreas Charidimou et al.: Cerebral Small Vessel Diseases - From Vessel Alterations to Cortical Parenchymal Injury (2020)

• Léonie Borne et al.: Automatic labeling of cortical sulci using patch- or CNN-based segmentation techniques combined with bottom-up geometric constraints, Medical Image Analysis (2020)