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Publications of the GAIA

2026


2025


2024

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

  • 2023

    SIGNATURE:
  • • Clement Poiret et al.: A fast and robust hippocampal subfields segmentation - HSF revealing lifespan volumetric dynamics, Frontiers in Neuroinformatics (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)
  • • Yannis Elandaloussi et al.: Understanding the relationship between cerebellar structure and social abilities, Molecular Autism (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)
  • PLATFORM:
  • • Sarah Yip et al.: Brain Networks and Adolescent Alcohol Use, JAMA 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)
  • • Mathilde Roser et al.: 188. Cerebellar Vermis and Depressive Symptoms in Bipolar Disorder, Biological Psychiatry (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)
  • • 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)
  • • Leon Lotter et al.: Human cortex development is shaped by molecular and cellular brain systems, bioRxiv (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)
  • • 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)
  • • Alice Chavanne et al.: Anxiety onset in adolescents - a machine-learning prediction, 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)
  • GINKGO:
  • • 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)
  • BRAINOMICS:
  • • 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)
  • ARCHITECTURE:
  • • 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)
  • • 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)
  • • 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)
  • • 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)
  • • 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)
  • • 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)
  • • Ophelie Foubet et al.: On the Shapes of the Precentral Gyrus of Humans and Chimpanzees (2023)

  • 2022

    SIGNATURE:
  • • 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)
  • PLATFORM:
  • • 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)
  • • 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)
  • • 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)
  • • 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)
  • GINKGO:
  • BRAINOMICS:
  • • 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)
  • ARCHITECTURE:
  • • Michael Schirner et al.: Brain simulation as a cloud service - The Virtual Brain on EBRAINS, NeuroImage (2022)
  • • Denis Rivière et al.: Browsing Multiple Subjects When the Atlas Adaptation Cannot Be Achieved via a Warping Strategy, Frontiers in Neuroinformatics (2022)
  • • Marion Mortamais et al.: Sulcal morphology as cognitive decline predictor in older adults with memory complaints, Neurobiology of Aging (2022)
  • • David Devos et al.: Trial of Deferiprone in Parkinson’s Disease, New England Journal of Medicine (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)