Results 201 to 210 of about 13,801,421 (357)

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 radiosurgery for multiple small brain metastases using gamma knife versus single‐isocenter VMAT: Normal brain dose based on lesion number and size

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose The study evaluates rapid linear accelerator (Linac) single isocenter stereotactic radiosurgery (SRS) with Hyperarc for large target numbers. We compared to Gamma Knife (GK), which suffers from long treatment times and investigated causes of differences. Methods Linac SRS and GK treatment plans for patients receiving 18 Gy to the gross
Abram Abdou, Timoteo Almeida, Elizabeth Bossart, Irene Monterroso, Eric A. Mellon   +4 more
wiley   +1 more source

Neurodegenerative diseases are a function of matrix breakdown: how to rebuild extracellular matrix and intracellular matrix

Neural Regeneration Research, 2018
Greg Maguire
doaj   +1 more source

A monolithically integrated optical Ising machine. [PDF]

Nat Commun
Wu B, Zhang W, Zhang S, Zhou H, Ruan Z, Li M, Huang D, Dong J, Zhang X.   +8 more
europepmc   +1 more source

Rotational Representations of Transition Matrix Functions [PDF]

, 1994
S. Kalpazidou
openalex   +1 more source

Open‐source deep‐learning models for segmentation of normal structures for prostatic and gynecological high‐dose‐rate brachytherapy: Comparison of architectures

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Background The use of deep learning‐based auto‐contouring algorithms in various treatment planning services is increasingly common. There is a notable deficit of commercially or publicly available models trained on large or diverse datasets containing high‐dose‐rate (HDR) brachytherapy treatment scans, leading to poor performance on images ...
Andrew J. Krupien, Yasin Abdulkadir, Dishane C. Luximon, John Charters, Huiming Dong, Jonathan Pham, Dylan O'Connell, Jack Neylon, James M. Lamb   +8 more
wiley   +1 more source

Quantum <i>κ</i>-Entropy: A Quantum Computational Approach. [PDF]

Entropy (Basel)
Ellinas D, Kaniadakis G.
europepmc   +1 more source

Book Review: $J$ Contractive matrix functions, reproducing kernel Hilbert spaces and interpolation [PDF]

, 1990
Joseph A. Ball
openalex   +1 more source

Unsupervised non‐small cell lung cancer tumor segmentation using cycled generative adversarial network with similarity‐based discriminator

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Background Tumor segmentation is crucial for lung disease diagnosis and treatment. Most existing deep learning‐based automatic segmentation methods rely on manually annotated data for network training. Purpose This study aims to develop an unsupervised tumor segmentation network smic‐GAN by using a similarity‐driven generative adversarial ...
Chengyijue Fang, Xiaoyang Li, Yidong Yang   +2 more
wiley   +1 more source

Geometry-Constrained Learning-Based Visual Servoing with Projective Homography-Derived Error Vector. [PDF]

Sensors (Basel)
Zhang Y, Ghosh A, An Y, Joo K, Kim S, Kuc T.   +5 more
europepmc   +1 more source