Results 171 to 180 of about 82,903 (262)

Radiomics Approach Fails to Outperform Null Classifier on Test Data [PDF]

, 2017
John B. Colby
openalex   +1 more source

Multimodal MRI radiomics based on habitat subregions of the tumor microenvironment for predicting risk stratification in glioblastoma. [PDF]

PLoS One
Wang H.
europepmc   +1 more source

P2.01-052 Does Radiomics Improves the Survival Prediction in Non-Small Cell Lung Cancer? [PDF]

, 2017
Rohit Patil, G. M, Leonard Wee, André Dekker   +3 more
openalex   +1 more source

Can Radiomics Predict Pathologic Complete Response After Neoadjuvant Chemoradiotherapy for Rectal Cancer? A Systematic Review and Meta-Analysis of Diagnostic-Accuracy Studies. [PDF]

J Pers Med
Seretis F, Panagaki A, Tzamouri S, Triantafyllou T, Triantopoulou C, Theodorou D.   +5 more
europepmc   +1 more source

Quality appraisal of radiomics-based studies on chondrosarcoma using METhodological RadiomICs Score (METRICS) and Radiomics Quality Score (RQS). [PDF]

Insights Imaging
Gitto S, Cuocolo R, Klontzas ME, Albano D, Messina C, Sconfienza LM.   +5 more
europepmc   +1 more source

Preoperative CT-based Radiomics Model for Predicting Micropapillary/Solid Patterns in Stage I Peripheral Lung Invasive Adenocarcinoma: A Propensity Score Matching Study. [PDF]

J Thorac Imaging
Ruan Y, Li M, Feng Z, Xie L, Sun F, Zhao F, Chen F.   +6 more
europepmc   +1 more source

Explainable multi-modal radiomics for early prediction of liver metastasis in rectal cancer: a multicentric study. [PDF]

Insights Imaging
Feng Y, Gong J, Wang Y, Cui Y, Tong T.
europepmc   +1 more source

Predicting Overall Survival of Local Advanced Rectal Cancer Patients Treated With Neoadjuvant Chemoradiation Therapy by Radiomic Features Extracted From Planning CTs [PDF]

, 2017
Hao Zhong, Pamela Boimel, Yi Fan, J. Wang, H. Geng, Mingyan Huang, Chih-Chun Cheng, Mark Rosen, Edgar Ben‐Josef, Ying Xiao   +9 more
openalex   +1 more source

Editorial: Radiomics in Cardiovascular Imaging

Frontiers in Cardiovascular Medicine, 2022
Márton Kolossváry, Damini Dey
openaire   +3 more sources

Radiomics and Deep Learning as Important Techniques of Artificial Intelligence - Diagnosing Perspectives in Cytokeratin 19 Positive Hepatocellular Carcinoma. [PDF]

J Hepatocell Carcinoma
Wang F, Yan C, Huang X, He J, Yang M, Xian D.   +5 more
europepmc   +1 more source