Results 161 to 170 of about 2,948,294 (361)

Stereotactic radiotherapy for metastatic brain tumors: A comparative analysis of dose distributions among VMAT, Helical TomoTherapy, CyberKnife, Gamma Knife, and ZAP‐X

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract This study evaluates various radiotherapy techniques for treating metastatic brain tumor (BT), focusing on non‐coplanar volumetric modulated arc radiotherapy (NC‐VMAT), coplanar VMAT (C‐VMAT), Helical TomoTherapy (HT), CyberKnife (CK), Gamma Knife (GK), and ZAP‐X.
Toshihiro Suzuki, Masahide Saito, Ryutaro Nomura, Hikaru Nemoto, Naoto Yanagisawa, Ryuma Sawada, Zennosuke Mochizuki, Naoki Sano, Hiroshi Onishi, Hiroshi Takahashi   +9 more
wiley   +1 more source

Computational science as an interdisciplinary bridge [PDF]

, 1999
G. Schneider
openalex   +1 more source

A comparative analysis of deep learning architectures with data augmentation and multichannel input for locoregional breast cancer radiotherapy

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose Studies on deep learning dose prediction increasingly focus on 3D models with multiple input channels and data augmentation, which increases the training time and thus also the environmental burden and hampers the ease of re‐training. Here we compare 2D and 3D U‐Net models with clinical accepted plans to evaluate the appropriateness of
Rosalie Klarenberg, Nienke L. M. Bakx, Coen W. Hurkmans   +2 more
wiley   +1 more source

Java for computational science and engineering - simulation and modeling II [PDF]

, 1997
Geoffrey Fox
openalex   +1 more source

Computational Science and Innovation

Journal of Physics: Conference Series, 2011
10 pages; INPC 2010 conference ...
openaire   +3 more sources

Bone‐wise rigid registration of femur, tibia, and fibula for the tracking of temporal changes

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Background Multiple myeloma (MM) induces temporal alterations in bone structure, such as osteolytic bone lesions, which are challenging to identify through manual image interpretation. The large variation in radiologists' assessments, even at expert centers, further complicates diagnosis.
Arttu Ruohola, Ville Haapamäki, Eero Salli, Tuomas Kaseva, Marko Kangasniemi, Sauli Savolainen   +5 more
wiley   +1 more source

Materials Cloud, a platform for open computational science. [PDF]

Sci Data, 2020
Talirz L, Kumbhar S, Passaro E, Yakutovich AV, Granata V, Gargiulo F, Borelli M, Uhrin M, Huber SP, Zoupanos S, Adorf CS, Andersen CW, Schütt O, Pignedoli CA, Passerone D, VandeVondele J, Schulthess TC, Smit B, Pizzi G, Marzari N.   +19 more
europepmc   +1 more source

Human papillomavirus (HPV) prediction for oropharyngeal cancer based on CT by using off‐the‐shelf features: A dual‐dataset study

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Background This study aims to develop a novel predictive model for determining human papillomavirus (HPV) presence in oropharyngeal cancer using computed tomography (CT). Current image‐based HPV prediction methods are hindered by high computational demands or suboptimal performance.
Junhua Chen, Yanyan Cheng, Lijun Chen, Banghua Yang   +3 more
wiley   +1 more source

Numerical algorithms for high-performance computational science. [PDF]

Philos Trans A Math Phys Eng Sci, 2020
Dongarra J, Grigori L, Higham NJ.
europepmc   +1 more source

Computational fluid dynamics: science or toolbox? [PDF]

, 2001
Bram va
openalex   +2 more sources