| MicroRNA expression profiles classify human cancers J Lu, G Getz, EA Miska, E Alvarez-Saavedra, J Lamb, D Peck, ... nature 435 (7043), 834-838, 2005 | 12070 | 2005 |
| Artificial intelligence in cancer imaging: clinical challenges and applications WL Bi, A Hosny, MB Schabath, ML Giger, NJ Birkbak, A Mehrtash, ... CA: a cancer journal for clinicians 69 (2), 127-157, 2019 | 1645 | 2019 |
| Densely interconnected transcriptional circuits control cell states in human hematopoiesis N Novershtern, A Subramanian, LN Lawton, RH Mak, WN Haining, ... Cell 144 (2), 296-309, 2011 | 1094 | 2011 |
| CT-based radiomic signature predicts distant metastasis in lung adenocarcinoma TP Coroller, P Grossmann, Y Hou, ER Velazquez, RTH Leijenaar, ... Radiotherapy and Oncology 114 (3), 345-350, 2015 | 796 | 2015 |
| Robust radiomics feature quantification using semiautomatic volumetric segmentation C Parmar, E Rios Velazquez, R Leijenaar, M Jermoumi, S Carvalho, ... PloS one 9 (7), e102107, 2014 | 666 | 2014 |
| Deep learning predicts lung cancer treatment response from serial medical imaging Y Xu, A Hosny, R Zeleznik, C Parmar, T Coroller, I Franco, RH Mak, ... Clinical Cancer Research 25 (11), 3266-3275, 2019 | 579 | 2019 |
| Deep learning for lung cancer prognostication: a retrospective multi-cohort radiomics study A Hosny, C Parmar, TP Coroller, P Grossmann, R Zeleznik, A Kumar, ... PLoS medicine 15 (11), e1002711, 2018 | 551 | 2018 |
| Long-term outcomes in patients with muscle-invasive bladder cancer after selective bladder-preserving combined-modality therapy: a pooled analysis of Radiation Therapy Oncology … RH Mak, D Hunt, WU Shipley, JA Efstathiou, WJ Tester, MP Hagan, ... Journal of Clinical Oncology 32 (34), 3801-3809, 2014 | 496 | 2014 |
| MicroRNA-mediated control of cell fate in megakaryocyte-erythrocyte progenitors J Lu, S Guo, BL Ebert, H Zhang, X Peng, J Bosco, J Pretz, R Schlanger, ... Developmental cell 14 (6), 843-853, 2008 | 428 | 2008 |
| Exploratory study to identify radiomics classifiers for lung cancer histology W Wu, C Parmar, P Grossmann, J Quackenbush, P Lambin, J Bussink, ... Frontiers in oncology 6, 71, 2016 | 412 | 2016 |
| Somatic mutations drive distinct imaging phenotypes in lung cancer E Rios Velazquez, C Parmar, Y Liu, TP Coroller, G Cruz, O Stringfield, ... Cancer research 77 (14), 3922-3930, 2017 | 383 | 2017 |
| Artificial intelligence in radiation oncology E Huynh, A Hosny, C Guthier, DS Bitterman, SF Petit, DA Haas-Kogan, ... Nature Reviews Clinical Oncology 17 (12), 771-781, 2020 | 351 | 2020 |
| Radiomic phenotype features predict pathological response in non-small cell lung cancer TP Coroller, V Agrawal, V Narayan, Y Hou, P Grossmann, SW Lee, ... Radiotherapy and oncology 119 (3), 480-486, 2016 | 349 | 2016 |
| Volumetric CT-based segmentation of NSCLC using 3D-Slicer ER Velazquez, C Parmar, M Jermoumi, RH Mak, A Van Baardwijk, ... Scientific reports 3 (1), 3529, 2013 | 251 | 2013 |
| Cardiac radiation dose, cardiac disease, and mortality in patients with lung cancer KM Atkins, B Rawal, TL Chaunzwa, N Lamba, DS Bitterman, CL Williams, ... Journal of the American College of Cardiology 73 (23), 2976-2987, 2019 | 247 | 2019 |
| Radiomic-based pathological response prediction from primary tumors and lymph nodes in NSCLC TP Coroller, V Agrawal, E Huynh, V Narayan, SW Lee, RH Mak, ... Journal of Thoracic Oncology 12 (3), 467-476, 2017 | 240 | 2017 |
| Chemical genetic strategy identifies histone deacetylase 1 (HDAC1) and HDAC2 as therapeutic targets in sickle cell disease JE Bradner, R Mak, SK Tanguturi, R Mazitschek, SJ Haggarty, K Ross, ... Proceedings of the National Academy of Sciences 107 (28), 12617-12622, 2010 | 236 | 2010 |
| CT-based radiomic analysis of stereotactic body radiation therapy patients with lung cancer E Huynh, TP Coroller, V Narayan, V Agrawal, Y Hou, J Romano, I Franco, ... Radiotherapy and Oncology 120 (2), 258-266, 2016 | 234 | 2016 |
| Deep learning classification of lung cancer histology using CT images TL Chaunzwa, A Hosny, Y Xu, A Shafer, N Diao, M Lanuti, DC Christiani, ... Scientific reports 11 (1), 1-12, 2021 | 213 | 2021 |
| An erythroid differentiation signature predicts response to lenalidomide in myelodysplastic syndrome BL Ebert, N Galili, P Tamayo, J Bosco, R Mak, J Pretz, S Tanguturi, ... PLoS medicine 5 (2), e35, 2008 | 203 | 2008 |
Hugo AertsDirector AI in Medicine (AIM) @ Harvard-MGB | Professor @ MaastrichtU確認したメール アドレス: dfci.harvard.edu