Saba Dadsetan

According to our database, Saba Dadsetan authored at least 8 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

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

Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, 2023

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

Cross-Domain Self-Supervised Deep Learning for Robust Alzheimer's Disease Progression Modeling.

Saba Dadsetan, Mohsen Hejrati, Shandong Wu, Somaye Hashemifar

CoRR, 2022

No-Reference Image Quality Assessment via Transformers, Relative Ranking, and Self-Consistency.

S. Alireza Golestaneh, Saba Dadsetan, Kris M. Kitani

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 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

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

Detection and Prediction of Nutrient Deficiency Stress using Longitudinal Aerial Imagery.

Saba Dadsetan, Gisele Rose, Naira Hovakimyan, Jennifer A. Hobbs

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021