Fully Automatic Baseline Correction in Magnetic Resonance Spectroscopy. - Omid Bazgir; Sunanda Mitra; Brian Nutter; Eric A. Walden (SSIAI, 2018)

Emotion Recognition with Machine Learning Using EEG Signals. - Omid Bazgir; Zeynab Mohammadi; Seyed Amir Hassan Habibi (CoRR, 2019)

REFINED (REpresentation of Features as Images with NEighborhood Dependencies): A novel feature representation for Convolutional Neural Networks. - Omid Bazgir; Ruibo Zhang; Saugato Rahman Dhruba; Raziur Rahman; Souparno Ghosh; Ranadip Pal (CoRR, 2019)

Kidney segmentation using 3D U-Net localized with Expectation Maximization. - Omid Bazgir; Kai Barck; Richard A. D. Carano; Robby M. Weimer; Luke Xie (SSIAI, 2020)

A Novel Data-Driven Magnetic Resonance Spectroscopy Signal Analysis Framework to Quantify Metabolite Concentration. - Omid Bazgir; Eric A. Walden; Brian Nutter; Sunanda Mitra (Algorithms, 2020)

Investigation of REFINED CNN ensemble learning for anti-cancer drug sensitivity prediction. - Omid Bazgir; Souparno Ghosh; Ranadip Pal (Bioinform., 2021)

Multitask-Guided Self-Supervised Tabular Learning for Patient-Specific Survival Prediction. - You Wu; Omid Bazgir; Yongju Lee; Tommaso Biancalani; James Lu; Ehsan Hajiramezanali (MLCB, 2023)

Integration of Graph Neural Network and Neural-ODEs for Tumor Dynamic Prediction. - Omid Bazgir; Zichen Wang; Marc Hafner; James Lu (CoRR, 2023)

Area-power and Energy Efficient Substitution box (S-box) in Advanced Encryption Standard (AES). - Omid Bazgir; Satwik Gali; Tooraj Nikoubin (ACM Great Lakes Symposium on VLSI, 2024)