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Visual Computing for Industry, Biomedicine, and Art|July 25, 2021
Quantitative evaluation of deep convolutional neural network-based image denoising for low-dose computed tomographyKeisuke Usui, Koichi Ogawa, Masami Goto, et al.
Visual Computing for Industry, Biomedicine, and Art|March 20, 2020
Developing global image feature analysis models to predict cancer risk and prognosisBin Zheng, Yuchen Qiu, Faranak Aghaei, et al.
Visual Computing for Industry, Biomedicine, and Art|March 20, 2020
Adaptive deep learning for head and neck cancer detection using hyperspectral imagingLing Ma, Guolan Lu, Dongsheng Wang, et al.
Visual Computing for Industry, Biomedicine, and Art|April 3, 2020
Frontiers in biomolecular mesh generation and molecular visualization systemsSheng Gui, Dawar Khan, Qin Wang, et al.
Visual Computing for Industry, Biomedicine, and Art|April 3, 2020
Computational aesthetics and applicationsYihang Bo, Jinhui Yu, Kang Zhang
Visual Computing for Industry, Biomedicine, and Art|April 3, 2020
Towards additive manufacturing oriented geometric modeling using implicit functionsQingde Li, Qingqi Hong, Quan Qi, et al.
Visual Computing for Industry, Biomedicine, and Art|April 3, 2020
Multi-scale characterizations of colon polyps via computed tomographic colonographyWeiguo Cao, Marc J Pomeroy, Yongfeng Gao, et al.
Visual Computing for Industry, Biomedicine, and Art|April 3, 2020
Fused behavior recognition model based on attention mechanismLei Chen, Rui Liu, Dongsheng Zhou, et al.
Visual Computing for Industry, Biomedicine, and Art|September 30, 2022
Recent developments of the reconstruction in magnetic particle imagingLin Yin, Wei Li, Yang Du, et al.
Visual Computing for Industry, Biomedicine, and Art|March 19, 2021
Review recent developments in photoacoustic imaging and sensing for nondestructive testing and evaluationSung-Liang Chen, Chao Tian
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