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)

Quarantine Deceiving Yelp's Users by Detecting Unreliable Rating Reviews. - Viet Trinh; Vikrant More; Samira Zare; Sheideh Homayon (CoRR, 2020)

MorphSet: Improving Renal Histopathology Case Assessment Through Learned Prognostic Vectors. - Pietro Antonio Cicalese; Syed Asad Rizvi; Victor Wang; Sai Patibandla; Pengyu Yuan; Samira Zare; Katharina Moos; Ibrahim Batal; Marian Clahsen-van Groningen; Candice Roufosse; Jan U. Becker; Chandra Mohan; et al. (MICCAI (8), 2021)

PICASO: Permutation-Invariant Cascaded Attentional Set Operator. - Samira Zare; Hien Van Nguyen (CoRR, 2021)

Removal of Confounders via Invariant Risk Minimization for Medical Diagnosis. - Samira Zare; Hien Van Nguyen (MICCAI (8), 2022)

Evaluating and Improving Domain Invariance in Contrastive Self-Supervised Learning by Extrapolating the Loss Function. - Samira Zare; Hien Van Nguyen (IEEE Access, 2023)

Anomaly Detection in Satellite Videos using Diffusion Models. - Akash Awasthi; Son Ly; Jaer Nizam; Samira Zare; Videet Mehta; Safwan Ahmed; Keshav Shah; Ramakrishna Nemani; Saurabh Prasad; Hien Van Nguyen (CoRR, 2023)

Modular Self-Lock Origami: design, modeling, and simulation to improve the performance of a rotational joint. - Samira Zare; Alex Spaeth; Sandya Suresh; Mircea Teodorescu (CoRR, 2023)

Game Theory Meets Data Augmentation. - Yuhan Kang; Samira Zare; Alex Tong Lin; Zhu Han 001; Stanley J. Osher; Hien Van Nguyen (IEEE Trans. Artif. Intell., 2024)

Revisiting Invariant Learning for Out-of-Domain Generalization on Multi-Site Mammogram Datasets. - Hung Q. Vo; Samira Zare; Son T. Ly; Lin Wang 065; Chika F. Ezeana; Xiaohui Yu 003; Kelvin K. Wong; Stephen T. C. Wong; Hien Van Nguyen (CoRR, 2025)