Thibaud Coroller
Thibaud Coroller
Researcher @ Novartis
Verified email at novartis.com
Title
Cited by
Cited by
Year
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
4102015
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
1672016
Somatic mutations drive distinct imaging phenotypes in lung cancer
ER Velazquez, C Parmar, Y Liu, TP Coroller, G Cruz, O Stringfield, Z Ye, ...
Cancer research 77 (14), 3922-3930, 2017
1442017
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
1052016
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
1012018
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
822017
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
732017
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
572019
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
522017
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
412017
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
342016
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
342016
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
342014
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
262018
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
102016
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
92017
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
42019
SU‐D‐207B‐02: Early Grade Classification in Meningioma Patients Combining Radiomics and Semantics Data
T Coroller, W Bi, M Abedalthagafi, A Aizer, W Wu, N Greenwald, ...
Medical physics 43 (6Part4), 3348-3349, 2016
32016
Radiomic-based phenotyping of tumor core and rim to predict survival in nonsmall cell lung cancer
T Dou, H Aerts, TP Coroller, RH Mak
International Journal of Radiation Oncology• Biology• Physics 99 (2), S84, 2017
22017
Predicting meningioma tumor recurrence using radiogenomics data
T Coroner, W Bi, N Greenwald, R Zeleznik, E Huynh, C Parmar, R Huang, ...
Medical physics 45 (6), E678-E678, 2018
12018
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