Machine Learning for Large-Scale Quality Control of 3D Shape Models in Neuroimaging. - Dmitry Petrov; Boris A. Gutman; Shih-Hua (Julie) Yu; Kathryn I. Alpert; Artemis Zavaliangos-Petropulu; Dmitry Isaev; Jessica A. Turner; Theo G. M. van Erp; Lei Wang 032; Lianne Schmaal; Dick J. Veltman; Paul M. Thompson (MLMI@MICCAI, 2017)

Deep Learning for Quality Control of Subcortical Brain 3D Shape Models. - Dmitry Petrov; Boris A. Gutman; Egor Kuznetsov; Christopher R. K. Ching; Kathryn I. Alpert; Artemis Zavaliangos-Petropulu; Dmitry Isaev; Jessica A. Turner; Theo G. M. van Erp; Lei Wang 032; Lianne Schmaal; Dick J. Veltman; et al. (ShapeMI@MICCAI, 2018)

Attention-Based Network for Weak Labels in Neonatal Seizure Detection. - Dmitry Yu. Isaev; Dmitry Tchapyjnikov; C. Michael Cotten; David Tanaka; Natalia Martínez; Martín Bertrán; Guillermo Sapiro; David E. Carlson (MLHC, 2020)

Adversarial Factor Models for the Generation of Improved Autism Diagnostic Biomarkers. - William E. Carson IV; Dmitry Yu. Isaev; Samantha Major; Guillermo Sapiro; Geraldine Dawson; David E. Carlson (CoRR, 2021)

Use of Machine Learning and Computer Vision Methods for Building Behavioral and Electrophysiological Biomarkers for Brain Disorders. - Dmitry Isaev (2023)

Scalp surface estimation and head registration using sparse sampling and 3D statistical models. - Oded Schlesinger; Raj Kundu; Dmitry Isaev; Jessica Y. Choi; Stefan M. Goetz; Dennis A. Turner; Guillermo Sapiro; Angel V. Peterchev; J. Matías Di Martino (Comput. Biol. Medicine, 2024)