Comparing functional connectivity based predictive models across datasets. - Kamalaker Dadi; Alexandre Abraham; Mehdi Rahim; Bertrand Thirion; Gaël Varoquaux (PRNI, 2016)

Benchmarking functional connectome-based predictive models for resting-state fMRI. - Kamalaker Dadi; Mehdi Rahim; Alexandre Abraham; Darya Chyzhyk; Michael P. Milham; Bertrand Thirion; Gaël Varoquaux (NeuroImage, 2019)

Fine-grain atlases of functional modes for fMRI analysis. - Kamalaker Dadi; Gaël Varoquaux; Antonia Machlouzarides-Shalit; Krzysztof J. Gorgolewski; Demian Wassermann; Bertrand Thirion; Arthur Mensch (NeuroImage, 2020)

Machine Learning on Population Imaging for Mental Health. (Apprentissage statistique sur l'imagerie de population pour la santé mentale). - Kamalaker Dadi (2020)

Big Data in Cognitive Neuroscience: Opportunities and Challenges. - Kamalaker Dadi; Bapi Raju Surampudi (BDA, 2022)

Deep Learning Approach for Classification and Interpretation of Autism Spectrum Disorder. - Pindi Krishna Chandra Prasad; Yash Khare; Kamalaker Dadi; P. K. Vinod; Bapi Raju Surampudi (IJCNN, 2022)

mulEEG: A Multi-view Representation Learning on EEG Signals. - Vamsi Kumar; Likith Reddy; Shivam Kumar Sharma; Kamalaker Dadi; Chiranjeevi Yarra; Raju S. Bapi; Srijithesh Rajendran (MICCAI (3), 2022)

BeSt-LeS: Benchmarking Stroke Lesion Segmentation using Deep Supervision. - Prantik Deb; Lalith Bharadwaj Baru; Kamalaker Dadi; Raju S. Bapi (BrainLes/SWITCH@MICCAI, 2023)

Dynamic functional connectivity analysis in individuals with Autism Spectrum Disorder. - Pindi Krishna Chandra Prasad; Kamalaker Dadi; Bapi Raju Surampudi (IJCNN, 2023)

HyperGALE: ASD Classification via Hypergraph Gated Attention with Learnable HyperEdges. - Mehul Arora; Chirag Shantilal Jain; Lalith Bharadwaj Baru; Kamalaker Dadi; Raju S. Bapi (IJCNN, 2024)