Khosravi P., Lysandrou, M., Eljalby, M., Brendel, M., Li, Q., Kazemi, E., Barnes, J., Zisimopoulos, P., Sigaras, A., Ricketts, C., Meleshko, D., Yat, A., McClure, T. D., Robinson, B. D., Sboner, A., Elemento, O., Chughtai, B., Hajirasouliha, I., Biopsy-free prediction of prostate cancer aggressiveness using deep learning and radiology imaging, medRxiv:2019.12.16.19015057 (2020).

Khosravi P., Kazemi E., Zhan Q., Malmsten J.E., Toschi M., Zisimopoulos P., Sigaras A., Lavery S., Cooper L.A.D., Hickman C., Meseguer M., Rosenwaks Z., Elemento O., Zaninovic N., Hajirasouliha I., Deep learning enables robust assessment and selection of human blastocyst after in vitro fertilization, npj Digital Medicine, 2:1-21 (2019).

Zaninovic N., Khosravi P., Hajirasouliha I., Malmsten J.E, Kazemi E., Zhan Q., Toschi M., Elemento O., Rosenwaks Z., Assessing human blastocyst quality using artificial intelligence (AI) convolutional neural network (CNN), Fertility and Sterility, (2018) 110: e89.

Khosravi P., Kazemi E., Imielinski M., Elemento O., Hajirasouliha I., Deep convolutional neural networks enable discrimination of heterogeneous digital pathology images, EBioMedicine (2018) 27: 317-328.

Asgari Y., Khosravi P., Zabihinpour Z., Habibi M., Exploring candidate biomarkers for lung and prostate cancers using gene expression and flux variability analysis, Integrative Biology (2018) 10:113-120.

Habibi M., Khosravi P., Disruption of the Protein Complexes from Weighted Complex Networks, IEEE/ACM transactions on computational biology and bioinformatics (2018).

Motlagh N.H., Jannesary M., Aboulkheyr H.R., Khosravi P., Elemento O., Hajorasouliha I., Breast Cancer Histopathological Image Classification: A Deep Learning Approach, IEEE International Conference on Bioinformatics and Biomedicine (2018), 2405-2412.

Aghdam R., Baghfalaki T., Khosravi P., Ansari E.S., The Ability of Different Imputation Methods to Preserve the Significant Genes and Pathways in Cancer, Genomics, proteomics & bioinformatics (2017), 15: 396-404.

Emamjomeh A., Robat E.S., Zahiri J., Solouki M., Khosravi P., Gene co-expression network reconstruction: a review on computational methods for inferring functional information from plant-based expression data, Plant Biotechnology Reports (2017), 11:71-86.

Montojo J., Khosravi P., Gazestani V.H., Bader G.D., SIREN Cytoscape plugin: Interaction Type Discrimination in Gene Regulatory Networks, arXiv preprint arXiv:1512.05067 (2015).

Khosravi P., Gazestani V.H., Pirhaji L., Law B., Sadeghi M., Bader G.D., Goliaei B., Inferring interaction type in gene regulatory networks using co-expression data, Algorithm for Molecular Biology (2015), 10: 23.

Khosravi P., Gazestani V.H., Law B., Bader G.D., Sadeghi M., Comparative analysis of co-expression networks reveals molecular changes during the cancer progression, IFMBE Proceedings (2015), 51: 1481-1487.

Khosravi P., Gazestani V.H., Akbarzadeh M., Mirkhalaf S., Sadeghi M., Goliaei B., Comparative analysis of prostate cancer gene regulatory networks via hub type variation, Avicenna Journal of Medical Biotechnology (2015), 7: 8-15.

Khosravi P., Gazestani V.H., Asgari Y., Law B., Sadeghi M., Goliaei B., Network-based approach reveals Y chromosome influences prostate cancer susceptibility, Computers in Biology and Medicine (2014), 54:24-31.

Khosravi P., Zahiri J., Gazestani V.H., Mirkhalaf S., Akbarzadeh M., Sadeghi M., Goliaei B., Analysis of candidate genes proposes the role of Y chromosome in human prostate cancer, Iranian Journal of Cancer Prevention (2014), 7: 17-21.

Hosseinpour B., Bakhtiarizadeh M.R., Khosravi P., Ebrahimie E., 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, Gene (2013), 531: 212-9.

Khosravi P., Kermani M. J., Nematzadeh G. A., Bihamta M. R., Yokoya K., Role of mitotic inhibitors and genotype on chromosome doubling of Rosa. Euphytica (2008), 160: 267-275.