155 citations · 326 across the 4 of their papers we have counts for
4 papers
Investigation of REFINED CNN ensemble learning for anti-cancer drug sensitivity prediction
Omid Bazgir, Souparno Ghosh, Ranadip Pal
Anti-cancer drug sensitivity prediction using deep learning models for individual cell line is a significant challenge in personalized medicine. REFINED (REpresentation of Features…
Kidney segmentation using 3D U-Net localized with Expectation Maximization
Omid Bazgir, Kai Barck, Richard A. D. Carano +2
Kidney volume is greatly affected in several renal diseases. Precise and automatic segmentation of the kidney can help determine kidney size and evaluate renal function. Fully conv…
REFINED (REpresentation of Features as Images with NEighborhood Dependencies): A novel feature representation for Convolutional Neural Networks
Omid Bazgir, Ruibo Zhang, Saugato Rahman Dhruba +3
Deep learning with Convolutional Neural Networks has shown great promise in various areas of image-based classification and enhancement but is often unsuitable for predictive model…
Emotion Recognition with Machine Learning Using EEG Signals
Omid Bazgir, Zeynab Mohammadi, Seyed Amir Hassan Habibi
In this research, an emotion recognition system is developed based on valence/arousal model using electroencephalography (EEG) signals. EEG signals are decomposed into the gamma, b…