Results 191 to 200 of about 2,724,709 (340)

Enhanced dose prediction for head and neck cancer artificial intelligence‐driven radiotherapy based on transfer learning with limited training data

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose Training deep learning dose prediction models for the latest cutting‐edge radiotherapy techniques, such as AI‐based nodal radiotherapy (AINRT) and Daily Adaptive AI‐based nodal radiotherapy (DA‐AINRT), is challenging due to limited data.
Hui‐Ju Wang, Austen Maniscalco, David Sher, Mu‐Han Lin, Steve Jiang, Dan Nguyen   +5 more
wiley   +1 more source

Interinstitutional variability in DNA flow cytometric analysis of tumors. The National Cancer Institute's flow cytometry network experience [PDF]

, 1988
John S. Coon, Arline D. Deitch, Ralph W. Vere De White, Leopold G. Koss, Myron R. Melamed, Jay E. Reeder, Ronald S. Weinstein, Leon L. Wheeless, Robert P. Wersto   +8 more
openalex   +1 more source

Does dose calculation algorithm affect the dosimetric accuracy of synthetic CT for MR‐only radiotherapy planning in brain tumors?

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose This study compares the dosimetric accuracy of deep‐learning‐based MR synthetic CT (sCT) in brain radiotherapy between the Analytical Anisotropic Algorithm (AAA) and AcurosXB (AXB). Additionally, it proposes a novel metric to predict the dosimetric accuracy of sCT for individual post‐surgical brain cases.
Jeffrey C. F. Lui, Francis K. H. Lee, C. C. Law, James C. H. Chow   +3 more
wiley   +1 more source

MiNEApy: enhancing enrichment network analysis in metabolic networks. [PDF]

Bioinformatics
Pandey V.
europepmc   +1 more source

OPERATION OF A SPECIALIZED SCIENTIFIC INFORMATION AND DATA ANALYSIS CENTER WITH COMPUTER BASE AND ASSOCIATED COMMUNICATIONS NETWORK.

, 1970
W.B. Cottrell, J.R. Buchanan, D. W. Cardwell   +2 more
openalex   +2 more sources

Scattering Analysis of a Millimeter-Wave Scalar Network Analyzer [PDF]

, 1984
Jeffrey B. Knorr
openalex   +1 more source

T2‐weighted imaging of rectal cancer using a 3D fast spin echo sequence with and without deep learning reconstruction: A reader study

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose To compare image quality and clinical utility of a T2‐weighted (T2W) 3‐dimensional (3D) fast spin echo (FSE) sequence using deep learning reconstruction (DLR) versus conventional reconstruction for rectal magnetic resonance imaging (MRI).
Dan Nguyen, Sarah Palmquist, Ken‐Pin Hwang, Jingfei Ma, Usama Salem, Jia Sun, Xinzeng Wang, Jong Bum Son, Randy Ernst, Peng Wei, Harmeet Kaur, Nir Stanietzky   +11 more
wiley   +1 more source

Network analysis of loneliness, mental, and physical health in Czech adolescents. [PDF]

Child Adolesc Psychiatry Ment Health
Meier Z, Helvich J, Furstova J, Novak L, Purova D, Zidkova R, Tavel P.   +6 more
europepmc   +1 more source

Distributed data analysis in a mobile real time and minicomputer network environment

, 1978
James J. Thomas, Gerald A. Sandness, James O. Schroeder, Angela Boland   +3 more
openalex   +2 more sources

Design and analysis of fault-tolerant multistage interconnection networks with low link complexity [PDF]

, 1985
V. Kumar, S.M. Reddy
openalex   +1 more source