Results 161 to 170 of about 82,903 (262)

Radiomic Analysis Reveals Prognostic Information in T1-Weighted Baseline Magnetic Resonance Imaging in Patients With Glioblastoma [PDF]

, 2017
Michael Ingrisch, Moritz Schneider, Dominik Nörenberg, G. Negrão de Figueiredo, Klaus Maier‐Hein, Bogdana Suchorska, Ulrich Schüller, Nathalie L. Albert, H. Brückmann, Maximilian F. Reiser, Jörg‐Christian Tonn, Birgit Ertl‐Wagner   +11 more
openalex   +1 more source

Bladder Cancer Treatment Response Assessment in CT using Radiomics with Deep-Learning

, 2017
H. Kenny, Lubomir M. Hadjiiski, Heang‐Ping Chan, Alon Z. Weizer, Ajjai Alva, Richard H. Cohan, Elaine M. Caoili, Chintana Paramagul, Ravi K. Samala   +8 more
openalex   +1 more source

Radiomic Features from Multi-Institutional Glioblastoma MRI Offer Additive Prognostic Value to Clinical and Genomic Markers: Focus on TCGA-GBM Collection [PDF]

, 2017
Gaurav Shukla, Spyridon Bakas, Saima Rathore, Hamed Akbari, Aristeidis Sotiras, Christos Davatzikos   +5 more
openalex   +1 more source

Comprehensive predictive modeling in subarachnoid hemorrhage: integrating radiomics and clinical variables. [PDF]

Neurosurg Rev
Urbanos G, Castaño-León AM, Maldonado-Luna M, Salvador E, Ramos A, Lechuga C, Sanz C, Juárez E, Lagares A.   +8 more
europepmc   +1 more source

Brain tumour segmentation on contrast enhanced T1w MRI using local texture and Random Forests [PDF]

, 2018
Bonte, Stijn, Goethals, Ingeborg, Van Holen, Roel   +2 more
core   +2 more sources

EP-1608: Deriving HPV status from standard CT imaging: a radiomic approach with independent validation

, 2017
Ralph T. H. Leijenaar, Marta Nesteruk, Giacomo Feliciani, F. Hoebers, Janita E. van Timmeren, Wouter van Elmpt, S. Walsh, Angela C.C. Jochems, Shurong Huang, Brian Y. Chan, Jerome M. Waldron, Brian O’Sullivan, D. Rietveld, C.R. Leemans, Oliver Riesterer, Kristian Ikenberg, Philippe Lambin   +16 more
openalex   +1 more source

Correction: Corrigendum: Defining a Radiomic Response Phenotype: A Pilot Study using targeted therapy in NSCLC [PDF]

, 2017
Hugo J.W.L. Aerts, Patrick Großmann, Yongqiang Tan, Geoffrey R. Oxnard, Naiyer A. Rizvi, Lawrence H. Schwartz, Binsheng Zhao   +6 more
openalex   +1 more source

The Quest for Generalizability in Radiomics

Radiology: Artificial Intelligence, 2020
openaire   +4 more sources

Unraveling the power of radiomics: prediction and exploration of lymph node metastasis in stage T1/2 esophageal squamous cell carcinoma. [PDF]

NPJ Precis Oncol
Zhang Y, Liu L, Han M, Li L, Wu Q, Wang X.   +5 more
europepmc   +1 more source

A radiomics-based model for predicting lymph nodes metastasis of pancreatic ductal adenocarcinoma: a multicenter study. [PDF]

Insights Imaging
Zhu L, Zhao B, Xia T, Chang D, Xia C, Liu M, Li R, Cao B, Qiu Y, Yu Y, Zhou S, Chen H, Cai W, Ding Z, Lu C, Tang T, Song Y, Wang Y, Ye J, Liu Y, Ju S.   +20 more
europepmc   +1 more source