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Saman Farahmand
Saman Farahmand
Research Scientist
Verified email at takeda.com - Homepage
Title
Cited by
Cited by
Year
Deep learning-based cross-classifications reveal conserved spatial behaviors within tumor histological images
J Noorbakhsh, S Farahmand, S Namburi, D Caruana, D Rimm, ...
Nature Communications 11 (6367), 2020
1282020
Deep learning trained on hematoxylin and eosin tumor region of Interest predicts HER2 status and trastuzumab treatment response in HER2+ breast cancer
ERKZ Saman Farahmand, Aileen I. Fernandez, Fahad Shabbir Ahmed, David L ...
Modern Pathology, 2021
67*2021
Machine learning guided association of adverse drug reactions with in vitro target-based pharmacology
R Ietswaart, S Arat, AX Chen, S Farahmand, B Kim, W DuMouchel, ...
Ebiomedicine 57 (102837), 2020
602020
Causal Inference Engine: a platform for directional gene set enrichment analysis and inference of active transcriptional regulators
S Farahmand, C O’Connor, JA Macoska, K Zarringhalam
Nucleic acids research 47 (22), 11563-11573, 2019
152019
Human gait database for normal walk collected by smartphone accelerometer
A Vajdi, MR Zaghian, NR Dehkordi, E Rastegari, K Maroofi, S Farahmand, ...
arXiv preprint arXiv:1905.03109, 2019
152019
Pan-cancer classifications of tumor histological images using deep learning
J Noorbakhsh, S Farahmand, M Soltanieh-ha, S Namburi, K Zarringhalam, ...
Preprint at https://www. biorxiv. org/content/10.1101/715656v1, 2019
132019
CytoGTA: A cytoscape plugin for identifying discriminative subnetwork markers using a game theoretic approach
S Farahmand, MH Foroughmand-Araabi, S Goliaei, ...
PloS one 12 (10), e0185016, 2017
102017
GTA: a game theoretic approach to identifying cancer subnetwork markers
S Farahmand, S Goliaei, N Ansari-Pour, Z Razaghi-Moghadam
Molecular BioSystems 12 (3), 818-825, 2016
102016
ModEx: A text mining system for extracting mode of regulation of Transcription Factor-gene regulatory interaction
S Farahmand, T Riley, K Zarringhalam
Journal of Biomedical Informatics 102, 103353, 2020
92020
Systems genetics of nonsyndromic orofacial clefting provides insights into its complex aetiology
Z Razaghi-Moghadam, A Namipashaki, S Farahmand, N Ansari-Pour
European Journal of Human Genetics 27 (2), 226-234, 2019
92019
Foroughi pour A, Namburi S, Caruana D, Rimm D, et al
J Noorbakhsh, S Farahmand
Deep learning‑based cross‑classifica‑tions reveal conserved spatial …, 2020
72020
Deep learning trained on H&E tumor ROIs predicts HER2 status and Trastuzumab treatment response in HER2+ breast cancer
S Farahmand, AI Fernandez, FS Ahmed, DL Rimm, JH Chuang, ...
bioRxiv, 2021.06. 14.448356, 2021
42021
Identifying cancer subnetwork markers using game theory method
S Farahmand, S Goliaei, ZRM Kashani, S Farahmand
International Conference on Biomedical and Health Informatics: ICBHI 2015 …, 2019
32019
Abstract PO-003: Deep learning identifies conserved pan-cancer tumor features
J Noorbakhsh, S Farahmand, A Foroughi pour, S Namburi, D Caruana, ...
Clinical Cancer Research 27 (5_Supplement), PO-003-PO-003, 2021
12021
Convolutional neural networks for classification of cancer histological images
JHM Chuang, J Noorbakhsh, K Zarringhalam, S Farahmand, ...
US Patent App. 17/628,144, 2022
2022
Machine Learning Models for Deciphering Regulatory Mechanisms and Morphological Variations in Cancer
S Farahmand
University of Massachusetts Boston, 2021
2021
Deep learning functional associations using histopathology images
J Noorbakhsh, S Farahmand, MS Ha, S Namburi, K Zarringhalam, ...
Cancer Research 79 (13_Supplement), 1632-1632, 2019
2019
The Mouseion at the JAXlibrary
J Noorbakhsh, S Farahmand, AF Pour, S Namburi, D Caruana
Ali Foroughi pour, Sandeep Namburi, Dennis Caruana, David Rimm, Mohammad Soltanieh-ha, Kourosh Zarringhalam, and Jeffrey H. Chuang. 2020. Deep learning-based cross …
J Noorbakhsh, S Farahmand
Bioinformatics. https://doi. org/10.1101/715656, 0
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Articles 1–19