Pegah Khosravi
Pegah Khosravi
Assistant Professor of Biomedical AI, City Tech & Graduate Center, CUNY
Verified email at - Homepage
Cited by
Cited by
Deep convolutional neural networks enable discrimination of heterogeneous digital pathology images
P Khosravi, E Kazemi, M Imielinski, O Elemento, I Hajirasouliha
EBioMedicine 27, 317-328, 2018
Deep learning enables robust assessment and selection of human blastocysts after in vitro fertilization
P Khosravi, E Kazemi, Q Zhan, JE Malmsten, M Toschi, P Zisimopoulos, ...
npj Digital Medicine 2 (1), 21, 2019
Harnessing multimodal data integration to advance precision oncology
KM Boehm, P Khosravi, R Vanguri, G Jianjiong, SP Shah
Nature Reviews Cancer 22 (2), 114-126, 2021
Breast cancer histopathological image classification: a deep learning approach
M Jannesari, M Habibzadeh, HR Aboulkheyr, P Khosravi, O Elemento, ...
2018 IEEE international conference on bioinformatics and biomedicine (BIBM …, 2018
Role of mitotic inhibitors and genotype on chromosome doubling of Rosa
P Khosravi, MJ Kermani, GA Nematzadeh, MR Bihamta, K Yokoya
Euphytica 160, 267-275, 2008
A deep learning approach to diagnostic classification of prostate cancer using pathology–radiology fusion
P Khosravi, M Lysandrou, M Eljalby, Q Li, E Kazemi, P Zisimopoulos, ...
Journal of Magnetic Resonance Imaging 54 (2), 462-471, 2021
Gene co-expression network reconstruction: a review on computational methods for inferring functional information from plant-based expression data
A Emamjomeh, ES Robat, J Zahiri, M Solouki, P Khosravi
Plant biotechnology reports 11 (2), 71-86, 2017
A protocol for mass production of Rosa hybrida cv. Iceberg through in vitro propagation
P Khosravi, M Jafarkhani Kermani, GA Nematzadeh, MR Bihamta
Iranian Journal of Biotechnology 5 (2), 100-104, 2007
Inferring interaction type in gene regulatory networks using co-expression data
P Khosravi, VH Gazestani, L Pirhaji, B Law, M Sadeghi, B Goliaei, ...
Algorithms for molecular biology 10, 1-11, 2015
Predicting distinct organization of transcription factor binding sites on the promoter regions: a new genome-based approach to expand human embryonic stem cell regulatory network
B Hosseinpour, MR Bakhtiarizadeh, P Khosravi, E Ebrahimie
Gene 531 (2), 212-219, 2013
A non-invasive artificial intelligence approach for the prediction of human blastocyst ploidy: a retrospective model development and validation study
J Barnes, M Brendel, VR Gao, S Rajendran, J Kim, Q Li, JE Malmsten, ...
The Lancet Digital Health 5 (1), e28-e40, 2023
Deep learning predicts chromosomal instability from histopathology images
Z Xu, A Verma, U Naveed, SF Bakhoum, P Khosravi, O Elemento
IScience 24 (5), 2021
Network-based approach reveals Y chromosome influences prostate cancer susceptibility
P Khosravi, VH Gazestani, Y Asgari, B Law, M Sadeghi, B Goliaei
Computers in biology and medicine 54, 24-31, 2014
Exploring candidate biomarkers for lung and prostate cancers using gene expression and flux variability analysis
Y Asgari, P Khosravi, Z Zabihinpour, M Habibi
Integrative Biology 10, 113-120, 2018
Micropropagation and medium-term conservation of Rosa pulverulenta
S Kavand, MJ Kermani, A Haghnazari, P Khosravi, MR Azimi
Acta Scientiarum. Agronomy 33, 297-301, 2011
Deep learning enables robust assessment and selection of human blastocysts after in vitro fertilization. NPJ Digital Medicine, 2, 21
P Khosravi, E Kazemi, Q Zhan, JE Malmsten, M Toschi, P Zisimopoulos, ...
ISSN, 2019
Assessing human blastocyst quality using artificial intelligence (AI) convolutional neural network (CNN)
N Zaninovic, P Khosravi, I Hajirasouliha, JE Malmsten, E Kazemi, Q Zhan, ...
Fertility and Sterility 110 (4), e89, 2018
Optimizing in vitro propagation of Rosa persica
M Jafarkhani-Kermani, P Khosravi, S Kavand
Iranian Journal of Genetics and Plant Breeding 1 (1), 44-51, 2010
The ability of different imputation methods to preserve the significant genes and pathways in cancer
R Aghdam, T Baghfalaki, P Khosravi, E Saberi Ansari
Genomics, Proteomics and Bioinformatics 15 (6), 396-404, 2017
Weakly-supervised tumor purity prediction from frozen H&E stained slides
M Brendel, V Getseva, M Al Assaad, M Sigouros, A Sigaras, T Kane, ...
EBioMedicine 80, 2022
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