Investigating and Quantifying the Reproducibility of Graph Neural Networks in Predictive Medicine

[1]  Surya Ganguli,et al.  A deep learning framework for neuroscience , 2019, Nature Neuroscience.

[2]  Zengyou He,et al.  Stable Feature Selection for Biomarker Discovery , 2010, Comput. Biol. Chem..

[3]  Dinggang Shen,et al.  Deep Learning Based Imaging Data Completion for Improved Brain Disease Diagnosis , 2014, MICCAI.

[4]  Islem Rekik,et al.  Topology-guided cyclic brain connectivity generation using geometric deep learning , 2020, Journal of Neuroscience Methods.

[5]  Konrad P. Körding,et al.  Toward an Integration of Deep Learning and Neuroscience , 2016, bioRxiv.

[6]  Eric Courchesne,et al.  A failure of left temporal cortex to specialize for language is an early emerging and fundamental property of autism. , 2012, Brain : a journal of neurology.

[7]  Islem Rekik,et al.  Morphological Brain Age Prediction using Multi-View Brain Networks Derived from Cortical Morphology in Healthy and Disordered Participants , 2019, Scientific Reports.

[8]  Alzheimer's Disease Neuroimaging Initiative,et al.  Identifying the best data-driven feature selection method for boosting reproducibility in classification tasks , 2020, Pattern Recognit..

[9]  Anders M. Dale,et al.  Sequence-independent segmentation of magnetic resonance images , 2004, NeuroImage.

[10]  Islem Rekik,et al.  Estimation of gender-specific connectional brain templates using joint multi-view cortical morphological network integration , 2020, Brain imaging and behavior.

[11]  Thomas Bourgeron,et al.  Neuroanatomical Diversity of Corpus Callosum and Brain Volume in Autism: Meta-analysis, Analysis of the Autism Brain Imaging Data Exchange Project, and Simulation , 2015, Biological Psychiatry.

[12]  E. Bullmore,et al.  Failure to deactivate the default mode network indicates a possible endophenotype of autism , 2012, Molecular Autism.

[13]  Nitesh V. Chawla,et al.  Heterogeneous Graph Neural Network , 2019, KDD.

[14]  Hayit Greenspan,et al.  Cross-Modality Synthesis from CT to PET using FCN and GAN Networks for Improved Automated Lesion Detection , 2018, Eng. Appl. Artif. Intell..

[15]  Daniel P. Kennedy,et al.  The Autism Brain Imaging Data Exchange: Towards Large-Scale Evaluation of the Intrinsic Brain Architecture in Autism , 2013, Molecular Psychiatry.

[16]  Bruce Fischl,et al.  FreeSurfer , 2012, NeuroImage.

[17]  O. Sporns,et al.  A cross-disorder connectome landscape of brain dysconnectivity , 2019, Nature Reviews Neuroscience.

[18]  Fabrice Bartolomei,et al.  Graph theoretical analysis of structural and functional connectivity MRI in normal and pathological brain networks , 2010, Magnetic Resonance Materials in Physics, Biology and Medicine.

[19]  Islem Rekik,et al.  Brain Multigraph Prediction using Topology-Aware Adversarial Graph Neural Network , 2021, Medical Image Anal..

[20]  Bo Wang,et al.  SIMLR: a tool for large-scale single-cell analysis by multi-kernel learning , 2017, bioRxiv.

[21]  Islem Rekik,et al.  Unsupervised Manifold Learning Using High-Order Morphological Brain Networks Derived From T1-w MRI for Autism Diagnosis , 2018, Front. Neuroinform..