RANDGAN: randomized generative adversarial network for detection of COVID-19 in chest X-ray S Motamed, P Rogalla, F Khalvati Scientific Reports 11 (1), 1-10, 2021 | 28 | 2021 |
A Transfer Learning Approach for Automated Segmentation of Prostate Whole Gland and Transition Zone in Diffusion Weighted MRI S Motamed, I Gujrathi, D Deniffel, A Oentoro, MA Haider, F Khalvati arXiv preprint arXiv:1909.09541, 2019 | 13 | 2019 |
Data augmentation using Generative Adversarial Networks (GANs) for GAN-based detection of Pneumonia and COVID-19 in chest X-ray images S Motamed, P Rogalla, F Khalvati Informatics in Medicine Unlocked 27, 100779, 2021 | 10* | 2021 |
Multi-class Generative Adversarial Networks: Improving One-class Classification of Pneumonia Using Limited Labeled Data S Motamed, F Khalvati 2021 43rd Annual International Conference of the IEEE Engineering in …, 2021 | 3* | 2021 |
Vanishing Twin GAN: How training a weak Generative Adversarial Network can improve semi-supervised image classification S Motamed, F Khalvati arXiv preprint arXiv:2103.02496, 2021 | 1 | 2021 |
Inception-GAN for Semi-supervised Detection of Pneumonia in Chest X-rays S Motamed, F Khalvati 2021 43rd Annual International Conference of the IEEE Engineering in …, 2021 | | 2021 |
A Semi-supervised Pipeline for Detection of Anomalies in Medical Images S Motamed University of Toronto (Canada), 2021 | | 2021 |