| 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 | 396 | 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 | 385 | 2021 |
| 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 | 375 | 2018 |
| 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 | 215* | 2018 |
| 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 | 96 | 2021 |
| 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 | 92 | 2008 |
| 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 | 69 | 2023 |
| 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 | 48 | 2017 |
| 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 | 41 | 2015 |
| 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 | 41 | 2007 |
| 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 | 38 | 2013 |
| Deep learning predicts chromosomal instability from histopathology images Z Xu, A Verma, U Naveed, SF Bakhoum, P Khosravi, O Elemento IScience 24 (5), 2021 | 37* | 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 | 25 | 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 | 20 | 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 | 17 | 2011 |
| Deep learning enables robust assessment and selection of human blastocysts after in vitro fertilization. npj Digital Medicine, 2 P Khosravi, E Kazemi, Q Zhan, JE Malmsten, M Toschi, P Zisimopoulos, ... Apr, 2019 | 16 | 2019 |
| 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 | 15 | 2022 |
| 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 | 12 | 2018 |
| 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 & bioinformatics 15 (6), 396-404, 2017 | 12 | 2017 |
| AI-Enhanced Detection of Clinically Relevant Structural and Functional Anomalies in MRI: Traversing the Landscape of Conventional to Explainable Approaches P Khosravi, S Mohammadi, F Zahiri, M Khodarahmi, J Zahiri Journal of magnetic resonance imaging: JMRI, 2024 | 10 | 2024 |