Mahsa Ghorbani

2018201920202021202220231 5 8 21 30 47

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Hamid R. RabieeDistinguished Professor of Computer Engineering, Sharif University of TechnologyVerified email at sharif.edu
Mahdieh Soleymani BaghshahAssociate Professor, Computer Engineering Department, Sharif University of TechnologyVerified email at sharif.edu
Nassir NavabProfessor of Computer Science, Technische Universität MünchenVerified email at cs.tum.edu
Anees KaziResearch Scientist, MGH, Harvard Medical SchoolVerified email at mgh.harvard.edu
Mojtaba BahramiInstitute of Computational Biology, Helmholtz MunichVerified email at helmholtz-munich.de
Ali KhodadadiPhD, Sharif University of TechnologyVerified email at ce.sharif.edu

Mahsa Ghorbani

Graduated from Sharif University of Technology

Verified email at tum.de


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RA-GCN: Graph convolutional network for disease prediction problems with imbalanced data M Ghorbani, A Kazi, MS Baghshah, HR Rabiee, N Navab Medical image analysis 75, 102272, 2022	41	2022
MGCN: Semi-supervised classification in multi-layer graphs with graph convolutional networks M Ghorbani, MS Baghshah, HR Rabiee Proceedings of the 2019 IEEE/ACM International Conference on Advances in …, 2019	32	2019
Bayesian overlapping community detection in dynamic networks M Ghorbani, HR Rabiee, A Khodadadi arXiv preprint arXiv:1605.02288, 2016	14	2016
ARIC: Adversarial Classifier for Imbalanced Problems M Ghorbani, E Montahaei, MS Baghshah, HR Rabiee	11*
Gkd: Semi-supervised graph knowledge distillation for graph-independent inference M Ghorbani, M Bahrami, A Kazi, M Soleymani Baghshah, HR Rabiee, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021	8	2021
Multi-layered Graph Embedding with Graph Convolutional Networks M Ghorbani, MS Baghshah, HR Rabiee arXiv preprint arXiv:1811.08800, 2018	6	2018
Intelligent Masking: Deep Q-Learning for Context Encoding in Medical Image Analysis M Bahrami, M Ghorbani, Y Yeganeh, N Navab International Workshop on Machine Learning in Medical Imaging, 387-396, 2022		2022

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