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Somaye Hashemifar
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2020 – today
- 2024
- [i7]Arindam Sett, Somaye Hashemifar, Mrunal Yadav, Yogesh Pandit, Mohsen Hejrati:
Speaking the Same Language: Leveraging LLMs in Standardizing Clinical Data for AI. CoRR abs/2408.11861 (2024) - 2023
- [j8]Saba Dadsetan, Mohsen Hejrati, Shandong Wu, Somaye Hashemifar:
Robust Alzheimer's Progression Modeling using Cross-Domain Self-Supervised Deep Learning. Trans. Mach. Learn. Res. 2023 (2023) - [j7]Fatemeh Haghighi, Soumitra Ghosh, Sarah Chu, Hai Ngu, Mohsen Hejrati, Han Hui Lin, Baris Bingol, Somaye Hashemifar:
Self-supervised Learning for Segmentation and Quantification of Dopamine Neurons in Parkinson's Disease. Trans. Mach. Learn. Res. 2023 (2023) - [i6]Hosein Barzekar, Hai Ngu, Han Hui Lin, Mohsen Hejrati, Steven Ray Valdespino, Sarah Chu, Baris Bingol, Somaye Hashemifar, Soumitra Ghosh:
Multiclass Semantic Segmentation to Identify Anatomical Sub-Regions of Brain and Measure Neuronal Health in Parkinson's Disease. CoRR abs/2301.02925 (2023) - [i5]Fatemeh Haghighi, Soumitra Ghosh, Hai Ngu, Sarah Chu, Han Hui Lin, Mohsen Hejrati, Baris Bingol, Somaye Hashemifar:
Self-supervised Learning for Segmentation and Quantification of Dopamine Neurons in Parkinson's Disease. CoRR abs/2301.08141 (2023) - 2022
- [i4]Claudia Iriondo, Evan Casey, Mohsen Hejrati, Somaye Hashemifar:
DeepAD: A Robust Deep Learning Model of Alzheimer's Disease Progression for Real-World Clinical Applications. CoRR abs/2203.09096 (2022) - [i3]Saba Dadsetan, Mohsen Hejrati, Shandong Wu, Somaye Hashemifar:
Cross-Domain Self-Supervised Deep Learning for Robust Alzheimer's Disease Progression Modeling. CoRR abs/2211.08559 (2022)
2010 – 2019
- 2018
- [j6]Somaye Hashemifar, Behnam Neyshabur, Aly A. Khan, Jinbo Xu:
Predicting protein-protein interactions through sequence-based deep learning. Bioinform. 34(17): i802-i810 (2018) - 2017
- [i2]Somaye Hashemifar:
Computational prediction and analysis of protein-protein interaction networks. CoRR abs/1709.01923 (2017) - 2016
- [j5]Somaye Hashemifar, Jianzhu Ma, Hammad Naveed, Stefan Canzar, Jinbo Xu:
ModuleAlign: module-based global alignment of protein-protein interaction networks. Bioinform. 32(17): 658-664 (2016) - [j4]Somaye Hashemifar, Qixing Huang, Jinbo Xu:
Joint Alignment of Multiple Protein-Protein Interaction Networks via Convex Optimization. J. Comput. Biol. 23(11): 903-911 (2016) - [j3]Dinanath Sulakhe, Bingqing Xie, Andrew Taylor, Mark D'Souza, Sandhya Balasubramanian, Somaye Hashemifar, Steven White, Utpal J. Dave, Gady Agam, Jinbo Xu, Sheng Wang, T. Conrad Gilliam, Natalia Maltsev:
Lynx: a knowledge base and an analytical workbench for integrative medicine. Nucleic Acids Res. 44(Database-Issue): 882-887 (2016) - [c2]Somaye Hashemifar, Qixing Huang, Jinbo Xu:
Joint Alignment of Multiple Protein-Protein Interaction Networks via Convex Optimization. RECOMB 2016: 267-269 - [i1]Somaye Hashemifar, Qixing Huang, Jinbo Xu:
Joint alignment of multiple protein-protein interaction networks via convex optimization. CoRR abs/1604.03482 (2016) - 2015
- [c1]Somaye Hashemifar, Behnam Neyshabur, Jinbo Xu:
Joint inference of tissue-specific networks with a scale free topology. BIBM 2015: 290-294 - 2014
- [j2]Somaye Hashemifar, Jinbo Xu:
HubAlign: an accurate and efficient method for global alignment of protein-protein interaction networks. Bioinform. 30(17): 438-444 (2014) - 2013
- [j1]Behnam Neyshabur, Ahmadreza Khadem, Somaye Hashemifar, Seyed Shahriar Arab:
NETAL: a new graph-based method for global alignment of protein-protein interaction networks. Bioinform. 29(13): 1654-1662 (2013)
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last updated on 2024-10-07 22:12 CEST by the dblp team
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