Results 101 to 110 of about 24,839,654 (290)

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

Visual detection as a function of attentional demand and perceptual system error [PDF]

, 1969
Stuart M. Keeley
openalex   +1 more source

Assessing proton plans with three different beam delivery systems versus photon plans for head and neck tumors

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose To compare plan quality among photon volumetric modulated arc therapy (VMAT) and intensity‐modulated proton therapy (IMPT) with robustness using three different proton beam delivery systems with various spot size (σ) ranges: cyclotron‐generated proton beams (CPBs) (σ: 2.7–7.0 mm), linear accelerator proton beams (LPBs) (σ: 2.9–5.5 mm),
Tara Gray, Chieh‐Wen Liu, Saeed Ahmed, Anna Maria Kolano, Jeremy Donaghue, Shlomo Koyfman, Neil Woody, Shauna R. Campbell, Jonathan B. Farr, Ping Xia   +9 more
wiley   +1 more source

The Components of the Visual System of a Dragonfly [PDF]

, 1965
Philip Ruck
openalex   +1 more source

Left hippocampus sparing model for glioblastoma radiotherapy by utilizing knowledge‐based planning and multi‐criteria optimization

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose Results of a prospective, randomized controlled trial at our institute demonstrate an association between the dose to the left hippocampus and neurocognitive decline post‐radiotherapy for patients with glioblastoma. To minimize the dose to the left hippocampus, a left hippocampus sparing model was created using RapidPlan (RP) and multi‐
Shima Y. Tari, Amr Heikal, Connie Le, Fan Yang, Deepak Dinakaran, John Amanie, Albert Murtha, Lindsay S. Rowe, Wilson H. Roa, Samir Patel   +9 more
wiley   +1 more source

Multiple sclerosis clinical decision support system based on projection to reference datasets

Annals of Clinical and Translational Neurology, Volume 9, Issue 12, Page 1863-1873, December 2022., 2022
Abstract Objective Multiple sclerosis (MS) is a multifactorial disease with increasingly complicated management. Our objective is to use on‐demand computational power to address the challenges of dynamically managing MS. Methods A phase 3 clinical trial data (NCT00906399) were used to contextualize the medication efficacy of peg‐interferon beta‐1a vs ...
Chadia Ed‐driouch, Florent Chéneau, Françoise Simon, Guillaume Pasquier, Benoit Combès, Anne Kerbrat, Emmanuelle Le Page, Sophie Limou, Nicolas Vince, David‐Axel Laplaud, Franck Mars, Cédric Dumas, Gilles Edan, Pierre‐Antoine Gourraud   +13 more
wiley   +1 more source

RECEIVING AREAS OF THE TACTILE, AUDITORY, AND VISUAL SYSTEMS IN THE CEREBELLUM

, 1944
Ray S. Snider, A Stowell
openalex   +1 more source

A LIGHT‐ACTIVATED SCHEDULING SYSTEM FOR COMPLEX VISUAL DISCRIMINATION TRAINING¹ [PDF]

, 1969
G. B. Biederman
openalex   +1 more source

Effects of cardiac motion on dose distribution during stereotactic arrhythmia radioablation treatment: A simulation and phantom study

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose Cardiac motion may degrade dose distribution during stereotactic arrhythmia radioablation using the CyberKnife system, a robotic radiosurgery system. This study evaluated the dose distribution changes using a self‐made cardiac dynamic platform that mimics cardiac motion. Methods The cardiac dynamic platform was operated with amplitudes
Takayuki Miyachi, Takeshi Kamomae, Fumitaka Kawabata, Kuniyasu Okudaira, Mariko Kawamura, Shunichi Ishihara, Shinji Naganawa   +6 more
wiley   +1 more source

A potential biomarker of cognitive impairment: The olfactory dysfunction and its genes expression

Annals of Clinical and Translational Neurology, Volume 9, Issue 12, Page 1884-1897, December 2022., 2022
Abstract Objective Accumulation evidence has reported that olfactory impairment may be an essential clinical marker and predictor of mild cognitive impairment or Alzheimer's disease. Method Participants were enrolled in the population‐based, prospective study in Fuxin county, Liaoning province, China between 2019 and 2021.
Jiayi Song, Jiahui Xu, Wei Yuan, Ruixue Li, Hui Guo, Hanshu Gao, Cuiying Gu, Wenjing Feng, Yanan Ma, Haiqiang Guo, Zhaoqing Sun, Liqiang Zheng   +11 more
wiley   +1 more source