| The role of machine learning in clinical research: transforming the future of evidence generation EH Weissler, T Naumann, T Andersson, R Ranganath, O Elemento, Y Luo, ... Trials 22, 1-15, 2021 | 271 | 2021 |
| Support vector regression for censored data (SVRc): a novel tool for survival analysis FM Khan, VB Zubek 2008 Eighth IEEE International Conference on Data Mining, 863-868, 2008 | 205 | 2008 |
| System for evaluating a pathological stage of prostate cancer M Donovan, F Khan, J Alter, G Fernandez, R Mesa-Tejada, D Powell, ... US Patent 9,779,213, 2017 | 189* | 2017 |
| System for evaluating a pathological stage of prostate cancer M Donovan, F Khan, J Alter, G Fernandez, R Mesa-Tejada, D Powell, ... US Patent 9,779,213, 2017 | 144 | 2017 |
| Improved prediction of prostate cancer recurrence through systems pathology C Cordon-Cardo, A Kotsianti, DA Verbel, M Teverovskiy, P Capodieci, ... Journal of Clinical Investigation 117 (7), 1876, 2007 | 132 | 2007 |
| Systems pathology approach for the prediction of prostate cancer progression after radical prostatectomy MJ Donovan, S Hamann, M Clayton, FM Khan, M Sapir, V Bayer-Zubek, ... Journal of Clinical Oncology 26 (24), 3923-3929, 2008 | 114 | 2008 |
| Androgen receptor expression is associated with prostate cancer‐specific survival in castrate patients with metastatic disease MJ Donovan, I Osman, FM Khan, Y Vengrenyuk, P Capodieci, ... BJU international 105 (4), 462-467, 2010 | 99 | 2010 |
| Inhibition of the Nuclear Export Receptor XPO1 as a Therapeutic Target for Platinum-Resistant Ovarian Cancer Y Chen, SC Camacho, TR Silvers, ARA Razak, NY Gabrail, JF Gerecitano, ... Clinical Cancer Research 23 (6), 1552-1563, 2017 | 85 | 2017 |
| Hardware-based support vector machine classification in logarithmic number systems FM Khan, MG Arnold, WM Pottenger 2005 IEEE International Symposium on Circuits and Systems, 5154-5157, 2005 | 75 | 2005 |
| Hardware-based support vector machine classification in logarithmic number systems FM Khan, MG Arnold, WM Pottenger Circuits and Systems, 2005. ISCAS 2005. IEEE International Symposium on …, 2005 | 75 | 2005 |
| Prostate biopsies from black men express higher levels of aggressive disease biomarkers than prostate biopsies from white men HS Kim, DM Moreira, J Jayachandran, L Gerber, LL Bañez, RT Vollmer, ... Prostate Cancer and Prostatic Diseases 14 (3), 262-265, 2011 | 74 | 2011 |
| Mining chat-room conversations for social and semantic interactions FM Khan, TA Fisher, L Shuler, T Wu, WM Pottenger Computer Science and Engineering, Lehigh University, 12, 2002 | 74 | 2002 |
| Personalized prediction of tumor response and cancer progression on prostate needle biopsy MJ Donovan, FM Khan, G Fernandez, R Mesa-Tejada, M Sapir, VB Zubek, ... The Journal of urology 182 (1), 125-132, 2009 | 65 | 2009 |
| Systems and methods for segmentation and processing of tissue images and feature extraction from same for treating, diagnosing, or predicting medical conditions P Ajemba, R Scott, J Ramachandran, J Zeineh, M Donovan, G Fernandez, ... US Patent 9,286,505, 2016 | 63 | 2016 |
| Systems and methods for segmentation and processing of tissue images and feature extraction from same for treating, diagnosing, or predicting medical conditions P Ajemba, R Scott, J Ramachandran, J Zeineh, M Donovan, G Fernandez, ... US Patent 9,286,505, 2016 | 63 | 2016 |
| Systems and methods for treating, diagnosing and predicting the occurrence of a medical condition M Donovan, F Khan, G Fernandez, A Tabesh, R Mesa-Tejada, ... US Patent App. 12/462,041, 2009 | 62 | 2009 |
| Systems and methods for treating, diagnosing and predicting the occurrence of a medical condition M Donovan, F Khan, G Fernandez, A Tabesh, R Mesa-Tejada, ... US Patent App. 12/462,041, 2009 | 62 | 2009 |
| Posting act tagging using transformation-based learning T Wu, F M Khan, T A Fisher, L A Shuler, W M Pottenger Foundations of data mining and knowledge discovery, 319-331, 2005 | 61 | 2005 |
| Methods and systems for feature selection in machine learning based on feature contribution and model fitness M Sapir, FM Khan, DA Verbel, O Saidi US Patent 7,599,893, 2009 | 52 | 2009 |
| Methods and systems for feature selection in machine learning based on feature contribution and model fitness M Sapir, FM Khan, DA Verbel, O Saidi US Patent 7,599,893, 2009 | 52 | 2009 |
Gerardo FernandezCSO, PreciseDx; Associate Professor, Department of Pathology, Icahn School of Medicine at MountVahvistettu sähköpostiosoite verkkotunnuksessa precisedx.ai
