| 2021 | MICCAI | A Matrix Autoencoder Framework to Align the Functional and Structural Connectivity Manifolds as Guided by Behavioral Phenotypes. | Niharika Shimona D'Souza, Mary Beth Nebel, Deana Crocetti, Joshua Robinson, Stewart Mostofsky, Archana Venkataraman |
| 2020 | MICCAI | A Deep-Generative Hybrid Model to Integrate Multimodal and Dynamic Connectivity for Predicting Spectrum-Level Deficits in Autism. | Niharika Shimona D'Souza, Mary Beth Nebel, Deana Crocetti, Nicholas F. Wymbs, Joshua Robinson, Stewart Mostofsky, Archana Venkataraman |
| 2019 | MICCAI | Integrating Neural Networks and Dictionary Learning for Multidimensional Clinical Characterizations from Functional Connectomics Data. | Niharika Shimona D'Souza, Mary Beth Nebel, Nicholas F. Wymbs, Stewart Mostofsky, Archana Venkataraman |
| 2018 | MICCAI | A Generative-Discriminative Basis Learning Framework to Predict Clinical Severity from Resting State Functional MRI Data. | Niharika Shimona D'Souza, Mary Beth Nebel, Nicholas F. Wymbs, Stewart Mostofsky, Archana Venkataraman |
| 2017 | MICCAI | A Unified Bayesian Approach to Extract Network-Based Functional Differences from a Heterogeneous Patient Cohort. | Archana Venkataraman, Nicholas F. Wymbs, Mary Beth Nebel, Stewart Mostofsky |