Radiologist-Level COVID-19 Detection Using CT Scans with Detail-Oriented Capsule Networks. - Aryan Mobiny; Pietro Antonio Cicalese; Samira Zare; Pengyu Yuan; Mohammadsajad Abavisani; Carol C. Wu; Jitesh Ahuja; Patricia M. de Groot; Hien Van Nguyen (CoRR, 2020)

Greedy AutoAugment. - Alireza Naghizadeh; Mohammadsajad Abavisani; Dimitris N. Metaxas (Pattern Recognit. Lett., 2020)

Constraint-Based Causal Structure Learning from Undersampled Graphs. - Mohammadsajad Abavisani; David Danks; Sergey M. Plis (CoRR, 2022)

Causal Learning through Deliberate Undersampling. - Kseniya Solovyeva; David Danks; Mohammadsajad Abavisani; Sergey M. Plis (CLeaR, 2023)

GRACE-C: Generalized Rate Agnostic Causal Estimation via Constraints. - Mohammadsajad Abavisani; David Danks; Sergey M. Plis (ICLR, 2023)

ION-C: Integration of Overlapping Networks via Constraints. - Praveen Nair; Payal Bhandari; Mohammadsajad Abavisani; Sergey M. Plis; David Danks (CoRR, 2024)

Causal Graph Recovery in Neuroimaging through Answer Set Programming. - Mohammadsajad Abavisani; Kseniya Solovyeva; David Danks; Vince D. Calhoun; Sergey M. Plis (CoRR, 2025)