| 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 | 771 | 2015 |
| 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 | 537 | 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 | 523 | 2018 |
| 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 | 372 | 2017 |
| 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 | 343 | 2016 |
| 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 | 237 | 2017 |
| 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 | 224 | 2016 |
| Associations between somatic mutations and metabolic imaging phenotypes in non–small cell lung cancer SSF Yip, J Kim, TP Coroller, C Parmar, ER Velazquez, E Huynh, RH Mak, ... Journal of Nuclear Medicine 58 (4), 569-576, 2017 | 169 | 2017 |
| Peritumoral radiomics features predict distant metastasis in locally advanced NSCLC TH Dou, TP Coroller, JJM van Griethuysen, RH Mak, HJWL Aerts PloS one 13 (11), e0206108, 2018 | 146 | 2018 |
| Radiographic prediction of meningioma grade by semantic and radiomic features TP Coroller, WL Bi, E Huynh, M Abedalthagafi, AA Aizer, NF Greenwald, ... PloS one 12 (11), e0187908, 2017 | 144 | 2017 |
| Associations of radiomic data extracted from static and respiratory-gated CT scans with disease recurrence in lung cancer patients treated with SBRT E Huynh, TP Coroller, V Narayan, V Agrawal, J Romano, I Franco, ... PloS one 12 (1), e0169172, 2017 | 118 | 2017 |
| Relationship between the temporal changes in positron-emission-tomography-imaging-based textural features and pathologic response and survival in esophageal cancer patients SSF Yip, TP Coroller, NN Sanford, H Mamon, HJWL Aerts, RI Berbeco Frontiers in Oncology 6, 72, 2016 | 63 | 2016 |
| Use of registration-based contour propagation in texture analysis for esophageal cancer pathologic response prediction SSF Yip, TP Coroller, NN Sanford, E Huynh, H Mamon, HJWL Aerts, ... Physics in Medicine & Biology 61 (2), 906, 2016 | 53 | 2016 |
| Low incidence of chest wall pain with a risk-adapted lung stereotactic body radiation therapy approach using three or five fractions based on chest wall dosimetry TP Coroller, RH Mak, JH Lewis, EH Baldini, AB Chen, YL Colson, ... PLoS One 9 (4), e94859, 2014 | 40 | 2014 |
| Antibody-targeting of ultra-small nanoparticles enhances imaging sensitivity and enables longitudinal tracking of multiple myeloma A Detappe, M Reidy, Y Yu, C Mathieu, HVT Nguyen, TP Coroller, F Lam, ... Nanoscale 11 (43), 20485-20496, 2019 | 32 | 2019 |
| Radiologic-pathologic correlation of response to chemoradiation in resectable locally advanced NSCLC V Agrawal, TP Coroller, Y Hou, SW Lee, JL Romano, EH Baldini, ... Lung Cancer 102, 1-8, 2016 | 23 | 2016 |
| Lymph node volume predicts survival but not nodal clearance in Stage IIIA-IIIB NSCLC V Agrawal, TP Coroller, Y Hou, SW Lee, JL Romano, EH Baldini, ... PLoS One 12 (4), e0174268, 2017 | 12 | 2017 |
| The impact of quantitative CT-based tumor volumetric features on the outcomes of patients with limited stage small cell lung cancer SC Kamran, T Coroller, N Milani, V Agrawal, EH Baldini, AB Chen, ... Radiation Oncology 15, 1-10, 2020 | 11 | 2020 |
| A deep learning approach to private data sharing of medical images using conditional generative adversarial networks (GANs) H Sun, J Plawinski, S Subramaniam, A Jamaludin, T Kadir, A Readie, ... Plos One 18 (7), e0280316, 2023 | 9 | 2023 |
| Multi-modal conditional gan: Data synthesis in the medical domain JD Ziegler, S Subramaniam, M Azzarito, O Doyle, P Krusche, T Coroller NeurIPS 2022 Workshop on Synthetic Data for Empowering ML Research, 2022 | 8 | 2022 |
Hugo AertsDirector AI in Medicine (AIM) @ Harvard-MGB | Professor @ MaastrichtUVerified email at dfci.harvard.edu
