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Morteza Homayounfar
Morteza Homayounfar
PhD student, TU Delft and Erasmus MC
Verified email at tudelft.nl
Title
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Cited by
Year
CovidCTNet: an open-source deep learning approach to diagnose covid-19 using small cohort of CT images
T Javaheri, M Homayounfar, Z Amoozgar, R Reiazi, F Homayounieh, ...
NPJ digital medicine 4 (1), 1-10, 2021
114*2021
Fedzip: A compression framework for communication-efficient federated learning
A Malekijoo, MJ Fadaeieslam, H Malekijou, M Homayounfar, ...
arXiv preprint arXiv:2102.01593, 2021
502021
Self-supervised region-aware segmentation of COVID-19 CT images using 3D GAN and contrastive learning
S Shabani, M Homayounfar, V Vardhanabhuti, MAN Mahani, ...
Computers in Biology and Medicine 149, 106033, 2022
112022
Understanding smartwatch battery utilization in the wild
M Homayounfar, A Malekijoo, A Visuri, C Dobbins, E Peltonen, E Pinsky, ...
Sensors 20 (13), 3784, 2020
92020
Mental arousal level recognition competition on the shared database
M Saidi, S Rezania, E Khazaei, B TaghiBeyglou, SS Hashemi, R Kaveh, ...
2019 27th Iranian Conference on Electrical Engineering (ICEE), 1730-1736, 2019
52019
A Multimodal Deep Learning Approach to Predicting Systemic Diseases from Oral Conditions
D Zhao, M Homayounfar, Z Zhen, MZ Wu, SY Yu, KH Yiu, ...
Diagnostics 12 (12), 3192, 2022
32022
Beta-Rank: A Robust Convolutional Filter Pruning Method for Imbalanced Medical Image Analysis
M Homayounfar, M Koohi-Moghadam, R Rawassizadeh, ...
arXiv preprint arXiv:2304.07461, 2023
2023
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