| Biomarkers predicting pathologic complete response to neoadjuvant chemotherapy in breast cancer X Li, U Krishnamurti, S Bhattarai, S Klimov, MD Reid, R O’Regan, R Aneja American journal of clinical pathology 145 (6), 871-878, 2016 | 91 | 2016 |
| Rampant centrosome amplification underlies more aggressive disease course of triple negative breast cancers V Pannu, K Mittal, G Cantuaria, MD Reid, X Li, S Donthamsetty, ... Oncotarget 6 (12), 10487, 2015 | 72 | 2015 |
| Prognostic role of androgen receptor in triple negative breast cancer: a multi-institutional study S Bhattarai, S Klimov, K Mittal, U Krishnamurti, X Li, G Oprea-Ilies, ... Cancers 11 (7), 995, 2019 | 67 | 2019 |
| A centrosome clustering protein, KIFC1, predicts aggressive disease course in serous ovarian adenocarcinomas K Mittal, DH Choi, S Klimov, S Pawar, R Kaur, AK Mitra, MV Gupta, ... Journal of ovarian research 9, 1-11, 2016 | 56 | 2016 |
| A whole slide image-based machine learning approach to predict ductal carcinoma in situ (DCIS) recurrence risk S Klimov, IM Miligy, A Gertych, Y Jiang, MS Toss, P Rida, IO Ellis, A Green, ... Breast Cancer Research 21, 1-19, 2019 | 47 | 2019 |
| A novel machine learning approach reveals latent vascular phenotypes predictive of renal cancer outcome N Ing, F Huang, A Conley, S You, Z Ma, S Klimov, C Ohe, X Yuan, ... Scientific reports 7 (1), 13190, 2017 | 36 | 2017 |
| Multi-institutional study of nuclear KIFC1 as a biomarker of poor prognosis in African American women with triple-negative breast cancer A Ogden, C Garlapati, X Li, RC Turaga, G Oprea-Ilies, N Wright, ... Scientific reports 7 (1), 42289, 2017 | 36 | 2017 |
| Predicting metastasis risk in pancreatic neuroendocrine tumors using deep learning image analysis S Klimov, Y Xue, A Gertych, RP Graham, Y Jiang, S Bhattarai, SJ Pandol, ... Frontiers in oncology 10, 593211, 2021 | 22 | 2021 |
| Novel immunohistochemistry-based signatures to predict metastatic site of triple-negative breast cancers S Klimov, PCG Rida, MA Aleskandarany, AR Green, IO Ellis, ... British Journal of Cancer 117 (6), 826-834, 2017 | 19 | 2017 |
| Machine learning-based prediction of breast cancer growth rate in vivo S Bhattarai, S Klimov, MA Aleskandarany, H Burrell, A Wormall, AR Green, ... British Journal of Cancer 121 (6), 497-504, 2019 | 16 | 2019 |
| Distinctions in breast tumor recurrence patterns post-therapy among racially distinct populations N Wright, J Xia, G Cantuaria, S Klimov, M Jones, P Neema, D Il’yasova, ... PloS one 12 (1), e0170095, 2017 | 10 | 2017 |
| Hypoxia-induced centrosome amplification underlies aggressive disease course in HPV-negative oropharyngeal squamous cell carcinomas K Mittal, DH Choi, G Wei, J Kaur, S Klimov, K Arora, CC Griffith, M Kumar, ... Cancers 12 (2), 517, 2020 | 9 | 2020 |
| Evaluation of centrosome clustering protein KIFC1 as a potential prognostic biomarker in serous ovarian adenocarcinomas. K Mittal, DH Choi, S Klimov, S Pawar, R Kaur, A Mitra, MV Gupta, R Sams, ... Journal of Clinical Oncology 34 (15_suppl), e17083-e17083, 2016 | 5 | 2016 |
| PD71-09 Quantitative digital image analysis and machine learning accurately classifies primary prostate tumors of bone metastatic disease based on histomorphometric features in … E Miller, H Salemi, S Klimov, M Lewis, I Garraway, B Knudsen, A Gertych The Journal of Urology 197 (4S), e1358-e1359, 2017 | 3 | 2017 |
| Hypoxia induced centrosome amplification as a surrogate marker in hpv negative oropharyngeal squamous cell carcinomas DH Choi, K Mittal, G Wei, BD Melton, C Griffith, S Klimov, M Reid, ... Laboratory Investigation 98, 474-474, 2018 | 2 | 2018 |
| Predicting DCIS Recurrence Risk Using a Machine Learning-Based High-Content Image Analysis Approach S Klimov, Y Jiang, A Gertych US Patent App. 17/415,260, 2022 | 1 | 2022 |
| THU-083-Predicting advanced liver fibrosis using deep learning based biopsy image analysis S Klimov, B Alton, H Chen, Y Chen, Y Jiang Journal of Hepatology 70 (1), e196, 2019 | 1 | 2019 |
| A multi-institutional study of racial differences in androgen receptor status among triple-negative breast cancers. S Bhattarai, J Xia, C Sonmez Wetherilt, S Pattni, S Klimov, A Riaz, ... Journal of Clinical Oncology 34 (15_suppl), 1089-1089, 2016 | 1 | 2016 |
| Identifying likely metastatic sites for triple negative breast cancers using immunohistochemical biomarkers. S Klimov, AR Green, M Aleskandarany, E Rakha, IO Ellis, MD Reid, ... Journal of Clinical Oncology 34 (15_suppl), 1092-1092, 2016 | 1 | 2016 |
| CancerVis: An interactive exploratory tool for cancer biomarker analysis L Zhang, S Klimov, Y Zhu 2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2015 | 1 | 2015 |
