Somaye Hashemifar

According to our database, Somaye Hashemifar authored at least 12 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Self-supervised Learning for Segmentation and Quantification of Dopamine Neurons in Parkinson's Disease.

Fatemeh Haghighi, Soumitra Ghosh, Hai Ngu, Sarah Chu, Han Hui Lin, Mohsen Hejrati, Baris Bingol, Somaye Hashemifar

CoRR, 2023

Multiclass Semantic Segmentation to Identify Anatomical Sub-Regions of Brain and Measure Neuronal Health in Parkinson's Disease.

Hosein Barzekar, Hai Ngu, Han Hui Lin, Mohsen Hejrati, Steven Ray Valdespino, Sarah Chu, Baris Bingol, Somaye Hashemifar, Soumitra Ghosh

CoRR, 2023

2022

Cross-Domain Self-Supervised Deep Learning for Robust Alzheimer's Disease Progression Modeling.

Saba Dadsetan, Mohsen Hejrati, Shandong Wu, Somaye Hashemifar

CoRR, 2022

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

Claudia Iriondo, Evan Casey, Mohsen Hejrati, Somaye Hashemifar

CoRR, 2022

2018

Predicting protein-protein interactions through sequence-based deep learning.

Somaye Hashemifar, Behnam Neyshabur, Aly A. Khan, Jinbo Xu

Bioinform., 2018

2017

Computational prediction and analysis of protein-protein interaction networks.

Somaye Hashemifar

CoRR, 2017

2016

Lynx: a knowledge base and an analytical workbench for integrative medicine.

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

Nucleic Acids Res., 2016

Joint Alignment of Multiple Protein-Protein Interaction Networks via Convex Optimization.

Somaye Hashemifar, Qixing Huang, Jinbo Xu

J. Comput. Biol., 2016

ModuleAlign: module-based global alignment of protein-protein interaction networks.

Somaye Hashemifar, Jianzhu Ma, Hammad Naveed, Stefan Canzar, Jinbo Xu

Bioinform., 2016

2015

Joint inference of tissue-specific networks with a scale free topology.

Somaye Hashemifar, Behnam Neyshabur, Jinbo Xu

Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

2014

HubAlign: an accurate and efficient method for global alignment of protein-protein interaction networks.

Somaye Hashemifar, Jinbo Xu

Bioinform., 2014

2013

NETAL: a new graph-based method for global alignment of protein-protein interaction networks.

Behnam Neyshabur, Ahmadreza Khadem, Somaye Hashemifar, Seyed Shahriar Arab

Bioinform., 2013