Kamu erişimi zorunlu olan makaleler - Thibaud CorollerDaha fazla bilgi edinin
Hiçbir yerde sunulmuyor: 1
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
Zorunlu olanlar: US National Institutes of Health
Bir yerde sunuluyor: 18
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
Zorunlu olanlar: US National Institutes of Health, Dutch Cancer Society
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
Zorunlu olanlar: US National Institutes of Health
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
Zorunlu olanlar: US National Institutes of Health
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
Zorunlu olanlar: US National Institutes of Health
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
Zorunlu olanlar: US National Institutes of Health
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
Zorunlu olanlar: US National Institutes of Health
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
Zorunlu olanlar: US National Institutes of Health
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
Zorunlu olanlar: US National Institutes of Health
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
Zorunlu olanlar: US National Institutes of Health
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
Zorunlu olanlar: US National Institutes of Health
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
Zorunlu olanlar: US National Institutes of Health
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
Zorunlu olanlar: US National Institutes of Health
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
Zorunlu olanlar: US National Science Foundation, US National Institutes of Health
VertXNet: an ensemble method for vertebral body segmentation and identification from cervical and lumbar spinal X-rays
Y Chen, Y Mo, A Readie, G Ligozio, I Mandal, F Jabbar, T Coroller, ...
Scientific Reports 14 (1), 3341, 2024
Zorunlu olanlar: Health Data Research, UK
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
Zorunlu olanlar: US National Institutes of Health
Multi-omics investigation on the prognostic and predictive factors in metastatic breast cancer using data from Phase III ribociclib clinical trials: A statistical and machine …
T Coroller, B Sahiner, A Amatya, A Gossmann, K Karagiannis, RK Samala, ...
MedRxiv, 2023.08. 30.23294367, 2023
Zorunlu olanlar: US Department of Energy
P5463 Prediction of the risk of valve surgery and adverse events in patients with aortic stenosis: myocardial tissue characterization with radiomics
KR Siegersma, M Zreik, TP Coroller, MR Dweck, RJ Everett, T Treibel, ...
European Heart Journal 39 (suppl_1), ehy566. P5463, 2018
Zorunlu olanlar: Dutch Heart Foundation
P4686 Discrimination of fibrotic myocardium from healthy myocardium patients with aortic stenosis: a radiomics approach with machine learning models
KR Siegersma, M Zreik, T Coroller, MR Dweck, RJ Everett, T Treibel, ...
European Heart Journal 39 (suppl_1), ehy563. P4686, 2018
Zorunlu olanlar: Dutch Heart Foundation
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