Detection and Prediction of Nutrient Deficiency Stress using Longitudinal Aerial Imagery. - Saba Dadsetan; Gisele Rose; Naira Hovakimyan; Jennifer A. Hobbs (AAAI, 2021)

Superpixels and Graph Convolutional Neural Networks for Efficient Detection of Nutrient Deficiency Stress From Aerial Imagery. - Saba Dadsetan; David Pichler; David Wilson; Naira Hovakimyan; Jennifer A. Hobbs (CVPR Workshops, 2021)

Radiomics-Informed Deep Curriculum Learning for Breast Cancer Diagnosis. - Giacomo Nebbia; Saba Dadsetan; Dooman Arefan; Margarita L. Zuley; Jules H. Sumkin; Heng Huang; Shandong Wu (MICCAI (5), 2021)

No-Reference Image Quality Assessment via Transformers, Relative Ranking, and Self-Consistency. - S. Alireza Golestaneh; Saba Dadsetan; Kris M. Kitani (WACV, 2022)

Cross-Domain Self-Supervised Deep Learning for Robust Alzheimer's Disease Progression Modeling. - Saba Dadsetan; Mohsen Hejrati; Shandong Wu; Somaye Hashemifar (CoRR, 2022)

Deep learning of longitudinal mammogram examinations for breast cancer risk prediction. - Saba Dadsetan; Dooman Arefan; Wendie A. Berg; Margarita L. Zuley; Jules H. Sumkin; Shandong Wu (Pattern Recognit., 2022)

Anterior cruciate ligament classification in knee MRI using automated pseudo-masking. - Saba Dadsetan; Marcio Albers; Allison Weinstock; Volker Musahl; Gene Kitamura; Dooman Arefan; Shandong Wu (Computer-Aided Diagnosis, 2023)

Robust Alzheimer's Progression Modeling using Cross-Domain Self-Supervised Deep Learning. - Saba Dadsetan; Mohsen Hejrati; Shandong Wu; Somaye Hashemifar (Trans. Mach. Learn. Res., 2023)