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Morteza Homayounfar
Morteza Homayounfar
TU Delft and ErasmusMC
Verified email at tudelft.nl
Title
Cited by
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
122*2021
Fedzip: A compression framework for communication-efficient federated learning
A Malekijoo, MJ Fadaeieslam, H Malekijou, M Homayounfar, ...
arXiv preprint arXiv:2102.01593, 2021
652021
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
162022
Understanding smartwatch battery utilization in the wild
M Homayounfar, A Malekijoo, A Visuri, C Dobbins, E Peltonen, E Pinsky, ...
Sensors 20 (13), 3784, 2020
122020
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
82022
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
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
22023
Pedvision: A Manual-Annotation-Free and Age Scalable Segmentation Pipeline for Bone Analysis in Hand X-Ray Images
M Homayounfar, S Bierma-Zeinstra, AA Zadpoor, N Tümer
Available at SSRN 5050535, 2024
2024
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