Results 211 to 220 of about 661,224 (311)

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

Imaging the Low Red-shift Cosmic Web

, 2005
Róbert Braun, David A. Thilker
openalex   +2 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

The red-shift effect and radiation decay on black hole spacetimes

, 2005
Mihalis Dafermos, Igor Rodnianski
openalex   +2 more sources

Engineering ESPT Pathways Based on Structural Analysis of LSSmKate Red Fluorescent Proteins with Large Stokes Shift [PDF]

, 2010
Kiryl D. Piatkevich, V.N. Malashkevich, Steven C. Almo, Vladislav V. Verkhusha   +3 more
openalex   +1 more source

Exploring surface‐guided systems for intelligent breathing‐adapted four‐dimensional computed tomography: A comparison to infrared‐based reflective marker systems

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose This study evaluates the technical feasibility of adapting a surface monitoring system, designed for conventional four‐dimensional computed tomography (4DCT), to an intelligent, breathing‐adapted 4DCT and examines its potential to expand the currently limited range of supported surrogate systems.
Niklas Lackner, Andre Karius, Rainer Fietkau, Christoph Bert, Juliane Szkitsak   +4 more
wiley   +1 more source

Cover Picture: Synthesis, Spectroscopy, Crystal Structure Determination, and Quantum Chemical Calculations of BODIPY Dyes with Increasing Conformational Restriction and Concomitant Red‐Shifted Visible Absorption and Fluorescence Spectra (Chem. Asian J. 9/2010) [PDF]

, 2010
Volker Leen, Wenwu Qin, Wensheng Yang, Jie Cui, Chan Xu, Xiaoliang Tang, Weisheng Liu, Koen Robeyns, Luc Van Meervelt, David Beljonne, Roberto Lazzaroni, Claire Tonnelé, Noël Boens, Wim Dehaen   +13 more
openalex   +1 more source

Geometric and dosimetric evaluation of a commercial AI auto‐contouring tool on multiple anatomical sites in CT scans

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Current radiotherapy practices rely on manual contouring of CT scans, which is time‐consuming, prone to variability, and requires highly trained experts. There is a need for more efficient and consistent contouring methods. This study evaluated the performance of the Varian Ethos AI auto‐contouring tool to assess its potential integration into
Robert N. Finnegan, Alexandra Quinn, Patrick Horsley, Joseph Chan, Maegan Stewart, Regina Bromley, Jeremy Booth   +6 more
wiley   +1 more source

Sensitive Detection of p65 Homodimers Using Red-Shifted and Fluorescent Protein-Based FRET Couples

, 2007
Joachim Goedhart, Joop E. M. Vermeer, Merel J.W. Adjobo-Hermans, Laura van Weeren, Theodorus W. J. Gadella   +4 more
openalex   +2 more sources

Toward a human‐centric co‐design methodology for AI detection of differences between planned and delivered dose in radiotherapy

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Introduction Many artificial intelligence (AI) solutions have been proposed to enhance the radiotherapy (RT) workflow, but limited applications have been implemented to date, suggesting an implementation gap. One contributing factor to this gap is a misalignment between AI systems and their users.
Luca M. Heising, Frank Verhaegen, Stefan G. Scheib, Maria J. G. Jacobs, Carol X. J. Ou, Viola Mottarella, Yin‐Ho Chong, Mariangela Zamburlini, Sebastiaan M. J. J. G. Nijsten, Ans Swinnen, Michel Öllers, Cecile J. A. Wolfs   +11 more
wiley   +1 more source