Results 211 to 220 of about 1,231,038 (365)

Image quality comparisons of coil setups in 3T MRI for brain and head and neck radiotherapy simulations

Journal of Applied Clinical Medical Physics, Volume 23, Issue 12, December 2022., 2022
Abstract Purpose MRI is increasingly used for brain and head and neck radiotherapy treatment planning due to its superior soft tissue contrast. Flexible array coils can be arranged to encompass treatment immobilization devices, which do not fit in diagnostic head/neck coils. Selecting a flexible coil arrangement to replace a diagnostic coil should rely
Evangelia Kaza, Jeffrey P. Guenette, Christian V. Guthier, Steven Hatch, Alexander Marques, Lisa Singer, Jonathan D. Schoenfeld   +6 more
wiley   +1 more source

Connected map-induced resource allocation scheme for cognitive radio network quality of service maximization. [PDF]

Sci Rep
Saravanan K, Jaikumar R, Devaraj SA, Kumar OP.   +3 more
europepmc   +1 more source

A priced schedule of economic-ornamental plants : citrus and deciduous fruit trees, avenue and ornamental trees, choice garden shrubs and vines, palms, new and standard roses including many new and rare varieties /

, 1915
J. D. Meriwether, George Christian Roeding, William R. Wood   +2 more
openalex   +2 more sources

Comparing self‐reported race and genetic ancestry for identifying potential differentially methylated sites in endometrial cancer: insights from African ancestry proportions using machine learning models

Molecular Oncology, EarlyView.
Integrating ancestry, differential methylation analysis, and machine learning, we identified robust epigenetic signature genes (ESGs) and Core‐ESGs in Black and White women with endometrial cancer. Core‐ESGs (namely APOBEC1 and PLEKHG5) methylation levels were significantly associated with survival, with tumors from high African ancestry (THA) showing ...
Huma Asif, J. Julie Kim
wiley   +1 more source

Image quality improvement in low‐dose chest CT with deep learning image reconstruction

Journal of Applied Clinical Medical Physics, Volume 23, Issue 12, December 2022., 2022
Abstract Objectives To investigate the clinical utility of deep learning image reconstruction (DLIR) for improving image quality in low‐dose chest CT in comparison with 40% adaptive statistical iterative reconstruction‐Veo (ASiR‐V40%) algorithm. Methods This retrospective study included 86 patients who underwent low‐dose CT for lung cancer screening ...
Qian Tian, Xinyu Li, Jianying Li, Yannan Cheng, Xinyi Niu, Shumeng Zhu, Wenting Xu, Jianxin Guo   +7 more
wiley   +1 more source

Energy efficient task scheduling for heterogeneous multicore processors in edge computing. [PDF]

Sci Rep
Liu Y, Qu H, Chen S, Feng X.
europepmc   +1 more source

Reinforcement delay and reinforcement rate as determinants of schedule preference [PDF]

, 1965
Colin G. McDiarmid, Mark Rilling
openalex   +1 more source

A large‐scale retrospective study in metastatic breast cancer patients using circulating tumour DNA and machine learning to predict treatment outcome and progression‐free survival

Molecular Oncology, EarlyView.
There is an unmet need in metastatic breast cancer patients to monitor therapy response in real time. In this study, we show how a noninvasive and affordable strategy based on sequencing of plasma samples with longitudinal tracking of tumour fraction paired with a statistical model provides valuable information on treatment response in advance of the ...
Emma J. Beddowes, Mario Ortega Duran, Solon Karapanagiotis, Alistair Martin, Meiling Gao, Riccardo Masina, Ramona Woitek, James Tanner, Fleur Tippin, Justine Kane, Jonathan Lay, Anja Brouwer, Stephen‐John Sammut, Suet‐Feung Chin, Davina Gale, Dana W. Y. Tsui, Sarah‐Jane Dawson, Nitzan Rosenfeld, Maurizio Callari, Oscar M. Rueda, Carlos Caldas   +20 more
wiley   +1 more source

Clinical commissioning of an adaptive radiotherapy platform: Results and recommendations

Journal of Applied Clinical Medical Physics, Volume 23, Issue 12, December 2022., 2022
Abstract Online adaptive radiotherapy platforms present a unique challenge for commissioning as guidance is lacking and specialized adaptive equipment, such as deformable phantoms, are rare. We designed a novel adaptive commissioning process consisting of end‐to‐end tests using standard clinical resources.
Kelly Kisling, Timothy D. Keiper, Daniela Branco, Grace Gwe‐Ya Kim, Kevin L Moore, Xenia Ray   +5 more
wiley   +1 more source

EcoTaskSched: a hybrid machine learning approach for energy-efficient task scheduling in IoT-based fog-cloud environments. [PDF]

Sci Rep
Khan A, Ullah F, Shah D, Khan MH, Ali S, Tahir M.   +5 more
europepmc   +1 more source