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DeepAD: A Robust Deep Learning Model of Alzheimer's Disease Progression for Real-World Clinical Applications.

C. Iriondo, E. Casey, M. Hejrati, and S. Hashemifar. CoRR, (2022)

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NETAL: a new graph-based method for global alignment of protein-protein interaction networks.B. Neyshabur, A. Khadem, S. Hashemifar, and S. Arab. Bioinform., 29 (13): 1654-1662 (2013)Self-supervised Learning for Segmentation and Quantification of Dopamine Neurons in Parkinson's Disease.F. Haghighi, S. Ghosh, H. Ngu, S. Chu, H. Lin, M. Hejrati, B. Bingol, and S. Hashemifar. CoRR, (2023)DeepAD: A Robust Deep Learning Model of Alzheimer's Disease Progression for Real-World Clinical Applications.C. Iriondo, E. Casey, M. Hejrati, and S. Hashemifar. CoRR, (2022)Joint Alignment of Multiple Protein-Protein Interaction Networks via Convex Optimization.S. Hashemifar, Q. Huang, and J. Xu. RECOMB, volume 9649 of Lecture Notes in Computer Science, page 267-269. Springer, (2016)Multiclass Semantic Segmentation to Identify Anatomical Sub-Regions of Brain and Measure Neuronal Health in Parkinson's Disease.H. Barzekar, H. Ngu, H. Lin, M. Hejrati, S. Valdespino, S. Chu, B. Bingol, S. Hashemifar, and S. Ghosh. CoRR, (2023)Joint inference of tissue-specific networks with a scale free topology.S. Hashemifar, B. Neyshabur, and J. Xu. BIBM, page 290-294. IEEE Computer Society, (2015)HubAlign: an accurate and efficient method for global alignment of protein-protein interaction networks.S. Hashemifar, and J. Xu. Bioinform., 30 (17): 438-444 (2014)Computational prediction and analysis of protein-protein interaction networks.S. Hashemifar. CoRR, (2017)Predicting protein-protein interactions through sequence-based deep learning.S. Hashemifar, B. Neyshabur, A. Khan, and J. Xu. Bioinform., 34 (17): i802-i810 (2018)Cross-Domain Self-Supervised Deep Learning for Robust Alzheimer's Disease Progression Modeling.S. Dadsetan, M. Hejrati, S. Wu, and S. Hashemifar. CoRR, (2022)

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Disambiguation of "Hashemifar, Somaye"

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DeepAD: A Robust Deep Learning Model of Alzheimer's Disease Progression for Real-World Clinical Applications.

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Disambiguation of "Hashemifar, Somaye"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML DeepAD: A Robust Deep Learning Model of Alzheimer's Disease Progression for Real-World Clinical Applications.

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DeepAD: A Robust Deep Learning Model of Alzheimer's Disease Progression for Real-World Clinical Applications.