Results 171 to 180 of about 5,883,161 (235)

Clinically validated deep learning auto-contouring for glioblastoma volumetric modulated arc therapy planning: a dosimetric equivalence study. [PDF]

Radiat Oncol J
Hamzaoui O, Oulhouq Y, Rezzoug M, Zerfaoui M, Bakkari D, Rrhioua A.   +5 more
europepmc   +1 more source

Automated MR-only radiotherapy outperforms CT-based radiotherapy and decreases hands-on time for head-and-neck cancer treatment. [PDF]

Clin Transl Radiat Oncol
Lauwers I, Capala M, Kaushik S, Ruskó L, Cozzini C, Szabó E, Kékesi Á, Deák-Karancsi B, Wyatt J, Pearson R, Verduijn G, Wiesinger F, Hernandez-Tamames J, Petit S.   +13 more
europepmc   +1 more source

Dosimetric Comparison of Automated Noncoplanar VMAT (HyperArc) Versus CyberKnife for Single-Fraction Vestibular Schwannoma Stereotactic Radiosurgery. [PDF]

Cancers (Basel)
Xiong Z, Zhang Y, Zhou L, Xu K, Zhang X, Bell L, Warburton F, Huang D, Motwani SB, Cathcart CS, Nie K, Yue N, Wang X.   +12 more
europepmc   +1 more source

Development and feasibility assessment of an automated, synthetic CT-guided plan selection system for bladder cancer adaptive radiotherapy: a retrospective pilot study. [PDF]

Transl Cancer Res
Meng H, Wang X, Liu P, Liu Q, Yang Y.
europepmc   +1 more source

Deep Learning-Based Automatic Glenohumeral Joint Segmentation for Determining Whether the Hill-Sachs Lesion Is On-Track or Off-Track. [PDF]

Orthop J Sports Med
Zhou F, Yang Y, Zhao Z, Zhang H, Liu X.
europepmc   +1 more source

An Augmented Reality-Based Navigation System for Stereotactic Brain Biopsy with Multi-Objective Path Planning and Hybrid Registration. [PDF]

Brain Sci
Zhang T, Wang S, Zhong Y, Li H, Hu J, Wang H.   +5 more
europepmc   +1 more source

Deep learning accurately and reliably segments pelvic vascular structure in CT scans of gynecologic cancer patients. [PDF]

Front Oncol
Kim H, Jeong MJ, Koo KY, Choi YJ, Heo ES, Nam W, Kang S, Lee UY, Kim YS, Lee KH, Park CU.   +10 more
europepmc   +1 more source

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Automated Planning for Robotics

Annual Review of Control, Robotics, and Autonomous Systems, 2020
Modern robots are increasingly capable of performing “basic” activities such as localization, navigation, and motion planning. However, for a robot to be considered intelligent, we would like it to be able to automatically combine these capabilities in order to achieve a high-level goal.
Erez Karpas, Daniele Magazzeni
exaly   +4 more sources