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Visual Computing for Industry, Biomedicine, and Art, Volume 4
Volume 4, Number 1, December 2021
- Xiufeng Li
, Victor T. C. Tsang
, Lei Kang, Yan Zhang, Terence T. W. Wong:
High-speed high-resolution laser diode-based photoacoustic microscopy for in vivo microvasculature imaging. 1 - Mareike Fischer, Lina Herbst, Michelle Galla, Yangjing Long, Kristina Wicke:
Correction to: Classes of tree-based networks. 2 - Yafei Zhu, Mengyao Bao, Miaomiao Jiang, Jincai Chang
, Jianzhong Cui:
Visual analysis of flow and diffusion of hemolytic agents and hematomas. 3 - Xue Bai, Xu Li, Jun Ma, Bai-ou Guan:
Improvement in resolution of fiber-laser photoacoustic tomography based on a virtual-point concept. 4 - Hermann Pflüger
:
A language to analyze, describe, and explore collections of visual art. 5 - Sung-Liang Chen, Chao Tian:
Review recent developments in photoacoustic imaging and sensing for nondestructive testing and evaluation. 6 - Yinhao Pan, Ningbo Chen, Liangjian Liu, Chengbo Liu, Zhiqiang Xu, Jianhui Zhang:
Recovery of photoacoustic images based on accurate ultrasound positioning. 7 - Wu Yang, Chonglei Zhang
, Jiaqi Zeng, Wei Song:
Ultrasonic signal detection based on Fabry-Perot cavity sensor. 8 - Neil Shah, Nandish Bhagat, Manan Shah
:
Crime forecasting: a machine learning and computer vision approach to crime prediction and prevention. 9 - Sung-Liang Chen, Chao Tian:
Correction to: Recent developments in photoacoustic imaging and sensing for nondestructive testing and evaluation. 10 - Long Jin
, Yizhi Liang:
Fiber laser technologies for photoacoustic microscopy. 11 - Zi Fen Lim, Parvathy Rajendran
, Muhamad Yusri Musa, Chih Fang Lee:
Nasal airflow of patient with septal deviation and allergy rhinitis. 14 - Yongchao Wang, Lei Xi:
Chronic cranial window for photoacoustic imaging: a mini review. 15 - Puxiang Lai
, Liming Nie, Lidai Wang
:
Special issue "Photoacoustic imaging: microscopy, tomography, and their recent applications in biomedicine" in visual computation for industry, biomedicine, and art. 16 - Gengsheng L. Zeng, Megan Zeng:
Reducing metal artifacts by restricting negative pixels. 17 - Dhruvil Shah
, Devarsh Patel, Jainish Adesara, Pruthvi Hingu, Manan Shah
:
Integrating machine learning and blockchain to develop a system to veto the forgeries and provide efficient results in education sector. 18 - Kiran Fahd, Sitalakshmi Venkatraman:
Visualizing risk factors of dementia from scholarly literature using knowledge maps and next-generation data models. 19 - Zewen Xu, Zheng Rong, Yihong Wu
:
A survey: which features are required for dynamic visual simultaneous localization and mapping? 20 - Keisuke Usui, Koichi Ogawa, Masami Goto, Yasuaki Sakano, Shinsuke Kyougoku, Hiroyuki Daida:
Quantitative evaluation of deep convolutional neural network-based image denoising for low-dose computed tomography. 21 - Kaname Takenouchi
, Ikuro Choh:
Development of a support system for creating disaster prevention maps focusing on road networks and hazardous elements. 22 - Michael Burch
, Kiet Bennema ten Brinke, Adrien Castella, Ghassen Karray, Sebastiaan Peters, Vasil Shteriyanov, Rinse Vlasvinkel:
Dynamic graph exploration by interactively linked node-link diagrams and matrix visualizations. 23 - Rafael Garcia, Tanja Munz, Daniel Weiskopf
:
Visual analytics tool for the interpretation of hidden states in recurrent neural networks. 24 - Qaiser Abbas
, Farheen Ramzan, Muhammad Usman Ghani:
Acral melanoma detection using dermoscopic images and convolutional neural networks. 25 - Gijs M. W. Reichert, Marcos Pieras
, Ricardo Marroquim
, Anna Vilanova:
Stabilization and visual analysis of video-recorded sailing sessions. 26 - Vinh T. Nguyen
, Kwanghee Jung
, Vibhuti Gupta:
Examining data visualization pitfalls in scientific publications. 27 - Chuan He, Gang Zhao, Aizeng Wang, Fei Hou, Zhanchuan Cai, Shaolin Li
:
Typical curve with G1 constraints for curve completion. 28 - Shuyao Zhou, Tianqian Zhu, Kanle Shi, Yazi Li, Wen Zheng, Jun-Hai Yong
:
Review of light field technologies. 29 - Toshita Sharma, Manan Shah:
A comprehensive review of machine learning techniques on diabetes detection. 30
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