Effects of alcohol on brain responses to social signals of threat in humans. - Chandra Sekhar Sripada; Mike Angstadt; Patrick McNamara; Andrea C. King; K. Luan Phan (NeuroImage, 2011)

Distributed effects of methylphenidate on the network structure of the resting brain: A connectomic pattern classification analysis. - Chandra Sekhar Sripada; Daniel Kessler; Robert C. Welsh; Michael Angstadt; Israel Liberzon; K. Luan Phan; Clayton D. Scott (NeuroImage, 2013)

Scalable fused Lasso SVM for connectome-based disease prediction. - Takanori Watanabe; Clayton D. Scott; Daniel Kessler; Michael Angstadt; Chandra Sekhar Sripada (ICASSP, 2014)

Volitional regulation of emotions produces distributed alterations in connectivity between visual, attention control, and default networks. - Chandra Sekhar Sripada; Michael Angstadt; Daniel Kessler; K. Luan Phan; Israel Liberzon; Gary W. Evans; Robert C. Welsh; Pilyoung Kim; James E. Swain (NeuroImage, 2014)

Disease prediction based on functional connectomes using a scalable and spatially-informed support vector machine. - Takanori Watanabe; Daniel Kessler; Clayton D. Scott; Michael Angstadt; Chandra Sekhar Sripada (NeuroImage, 2014)

Scalable Hashing-Based Network Discovery. - Tara Safavi; Chandra Sekhar Sripada; Danai Koutra (ICDM, 2017)

A Domain Guided CNN Architecture for Predicting Age from Structural Brain Images. - Pascal Sturmfels; Saige Rutherford; Mike Angstadt; Mark Peterson; Chandra Sekhar Sripada; Jenna Wiens (MLHC, 2018)

Supervised Principal Component Analysis Via Manifold Optimization. - Alexander Ritchie; Clayton D. Scott; Laura Balzano; Daniel Kessler; Chandra Sekhar Sripada (DSW, 2019)

GroupINN: Grouping-based Interpretable Neural Network for Classification of Limited, Noisy Brain Data. - Yujun Yan; Jiong Zhu; Marlena Duda; Eric Solarz; Chandra Sekhar Sripada; Danai Koutra (KDD, 2019)

Fast network discovery on sequence data via time-aware hashing. - Tara Safavi; Chandra Sekhar Sripada; Danai Koutra (Knowl. Inf. Syst., 2019)

Automated Brain Masking of Fetal Functional MRI with Open Data. - Saige Rutherford; Pascal Sturmfels; Mike Angstadt; Jasmine L. Hect; Jenna Wiens; Marion I. van den Heuvel; Dustin Scheinost; Chandra Sekhar Sripada; Moriah E. Thomason (Neuroinformatics, 2022)

Sparse Feature Coactivation Reveals Composable Semantic Modules in Large Language Models. - Ruixuan Deng; Xiaoyang Hu; Miles Gilberti; Shane Storks; Aman Taxali; Mike Angstadt; Chandra Sekhar Sripada; Joyce Chai (CoRR, 2025)