Smartphone-Based Endoscope System for Advanced Point-of-Care Diagnostics: Feasibility Study

Autor: Bae, Jung Kweon, Vavilin, Andrey, You, Joon S, Kim, Hyeongeun, Ryu, Seon Young, Jang, Jeong Hun, Jung, Woonggyu

Publikováno v: JMIR mHealth and uHealth, Vol 5, Iss 7, p e99 (2017)

BackgroundEndoscopic technique is often applied for the diagnosis of diseases affecting internal organs and image-guidance of surgical procedures. Although the endoscope has become an indispensable tool in the clinic, its utility has been limited to

Externí odkaz: https://doaj.org/article/70049c65aed540ca88f12959f40bd1bd

Automatic context analysis for image classification and retrieval based on optimal feature subset selection

Autor: Vavilin, Andrey, Jo, Kang-Hyun

Publikováno v: In Neurocomputing 20 September 2013 116:201-207

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Distance Sensor Fusion for Obstacle Detection at Night Based on Kinect Sensors.

Autor: Filonenko, Alexander, Hernández, Danilo Cáceres, Vavilin, Andrey, Kim, Taeho, Jo, Kang-Hyun

Publikováno v: Intelligent Computing Theories & Methodologies: 11th International Conference, ICIC 2015, Fuzhou, China, August 20-23, 2015, Proceedings, Part II; 2015, p135-144, 10p

Augmented Reality Surveillance System for Road Traffic Monitoring.

Autor: Filonenko, Alexander, Vavilin, Andrey, Kim, Taeho, Jo, Kang-Hyun

Publikováno v: Intelligent Computing Methodologies; 2014, p310-317, 8p