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Omid Bazgir
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Journal Articles
- 2021
- [j2]Omid Bazgir, Souparno Ghosh, Ranadip Pal
:
Investigation of REFINED CNN ensemble learning for anti-cancer drug sensitivity prediction. Bioinform. 37(Supplement): 42-50 (2021) - 2020
- [j1]Omid Bazgir
, Eric A. Walden, Brian Nutter, Sunanda Mitra:
A Novel Data-Driven Magnetic Resonance Spectroscopy Signal Analysis Framework to Quantify Metabolite Concentration. Algorithms 13(5): 120 (2020)
Conference and Workshop Papers
- 2024
- [c4]Omid Bazgir
, Satwik Gali
, Tooraj Nikoubin
:
Area-power and Energy Efficient Substitution box (S-box) in Advanced Encryption Standard (AES). ACM Great Lakes Symposium on VLSI 2024: 263-267 - 2023
- [c3]You Wu, Omid Bazgir, Yongju Lee, Tommaso Biancalani, James Lu, Ehsan Hajiramezanali:
Multitask-Guided Self-Supervised Tabular Learning for Patient-Specific Survival Prediction. MLCB 2023: 10-22 - 2020
- [c2]Omid Bazgir
, Kai Barck, Richard A. D. Carano, Robby M. Weimer, Luke Xie:
Kidney segmentation using 3D U-Net localized with Expectation Maximization. SSIAI 2020: 22-25 - 2018
- [c1]Omid Bazgir
, Sunanda Mitra, Brian Nutter, Eric A. Walden:
Fully Automatic Baseline Correction in Magnetic Resonance Spectroscopy. SSIAI 2018: 97-100
Informal and Other Publications
- 2023
- [i5]Omid Bazgir, Zichen Wang, Marc Hafner, James Lu:
Integration of Graph Neural Network and Neural-ODEs for Tumor Dynamic Prediction. CoRR abs/2310.00926 (2023) - 2020
- [i4]Omid Bazgir, Kai Barck, Richard A. D. Carano, Robby M. Weimer, Luke Xie:
Kidney segmentation using 3D U-Net localized with Expectation Maximization. CoRR abs/2003.09075 (2020) - [i3]Omid Bazgir, Souparno Ghosh, Ranadip Pal:
Investigation of REFINED CNN ensemble learning for anti-cancer drug sensitivity prediction. CoRR abs/2009.04076 (2020) - 2019
- [i2]Omid Bazgir, Zeynab Mohammadi, Seyed Amir Hassan Habibi:
Emotion Recognition with Machine Learning Using EEG Signals. CoRR abs/1903.07272 (2019) - [i1]Omid Bazgir, Ruibo Zhang, Saugato Rahman Dhruba
, Raziur Rahman, Souparno Ghosh, Ranadip Pal:
REFINED (REpresentation of Features as Images with NEighborhood Dependencies): A novel feature representation for Convolutional Neural Networks. CoRR abs/1912.05687 (2019)
Coauthor Index
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