Results 221 to 230 of about 1,526,772 (381)

Multiple sequence alignment using partial order graphs [PDF]

, 2002
Christopher Lee, Catherine S. Grasso, Mark Sharlow   +2 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

A review of artificial intelligence in brachytherapy

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Artificial intelligence (AI) has the potential to revolutionize brachytherapy's clinical workflow. This review comprehensively examines the application of AI, focusing on machine learning and deep learning, in various aspects of brachytherapy.
Jingchu Chen, Richard L. J. Qiu, Tonghe Wang, Shadab Momin, Xiaofeng Yang   +4 more
wiley   +1 more source

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

CopulaNet: Learning residue co-evolution directly from multiple sequence alignment for protein structure prediction. [PDF]

Nat Commun, 2021
Ju F, Zhu J, Shao B, Kong L, Liu TY, Zheng WM, Bu D.   +6 more
europepmc   +1 more source

Deep Time Warping for Multiple Time Series Alignment [PDF]

arXiv
Time Series Alignment is a critical task in signal processing with numerous real-world applications. In practice, signals often exhibit temporal shifts and scaling, making classification on raw data prone to errors. This paper introduces a novel approach for Multiple Time Series Alignment (MTSA) leveraging Deep Learning techniques.
arxiv  

WAViS server for handling, visualization and presentation of multiple alignments of nucleotide or amino acids sequences [PDF]

, 2004
Radek Zı́ka, Jan Pačes, Adam Pavlı́ček, Václav Pačes   +3 more
openalex   +1 more source

Dose rate correction of a diode array for universal wedge field dosimetric verification

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose To study the performance of MapCHECK 3 (MC3) in measuring universal wedge fields and propose a dose rate correction strategy to improve MC3 measurement accuracy. Materials and methods Universal wedge fields with different wedge angles and field sizes were measured at different depths using MC3.
Linyi Shen, Mengyang Li, Guiyuan Li, Xinyuan Chen, Shouping Xu, Jianrong Dai, Yuan Tian   +6 more
wiley   +1 more source

Corrigendum: A Detailed View of KIR Haplotype Structures and Gene Families as Provided by a New Motif-Based Multiple Sequence Alignment. [PDF]

Front Immunol, 2021
Roe D, Vierra-Green C, Pyo CW, Geraghty DE, Spellman SR, Maiers M, Kuang R.   +6 more
europepmc   +1 more source

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