Prof. Junghwan Oh

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Academic Career Length

14Years (2013-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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11 June 2014 in Neurocomputing

Journal Article

Abnormal image detection in endoscopy videos using a filter bank and local binary patterns

Shou Jiang Tang

11 August 2022 in IEEE Journal of Biomedical and Health Informatics

Journal Article

Artificial Intelligence for Colonoscopy: Past, Present, and Future

Wallapak Tavanapong

Junghwan Oh

Michael Alexander Riegler

Mohammed Khaleel

Bhuvan Mittal

Piet C. de Groen

During the past decades, many automated image analysis methods have been developed for colonoscopy. Real-time implementation of the most promising methods during colonoscopy has been tested in clinical trials, including several recent multi-center studies. All trials have shown results that may contribute to prevention of colorectal cancer. We summarize the past and present development of colonoscopy video analysis methods, focusing on two categories of artificial intelligence (AI) technologies used in clinical trials. These are (1) analysis and feedback for improving colonoscopy quality and (2) detection of abnormalities. Our survey includes methods that use traditional machine learning algorithms on carefully designed hand-crafted features as well as recent deep-learning methods. Lastly, we present the gap between current state-of-the-art technology and desirable clinical features and conclude with future directions of endoscopic AI technology development that will bridge the current gap.

1 January 2014 in Computerized Medical Imaging and Graphics

Journal Article

3D Reconstruction of virtual colon structures from colonoscopy images

Piet C. de Groen

14 August 2013 in Computer Methods and Programs in Biomedicine

Journal Article

SAPPHIRE: A toolkit for building efficient stream programs for medical video analysis

Piet C. de Groen

29 September 2020

Book Chapter

Classification of Ulcerative Colitis Severity in Colonoscopy Videos Using Vascular Pattern Detection

Farhad Mokter

Junghwan Oh

Wallapak Tavanapong

Johnny Wong

Piet C. de Groen

10 November 2023 in ACM Transactions on Multimedia Computing, Communications, and Applications

Journal Article

VisActive: Visual-concept-based Active Learning for Image Classification under Class Imbalance

Active learning methods recommend the most informative images from a large unlabeled dataset for manual labeling. These methods improve the performance of an image classifier while minimizing manual labeling efforts. We propose VisActive, a visual-concept-based active learning method for image classification under class imbalance. VisActive learns a visual concept, a generalized representation that holds the most important image characteristics for class prediction, and then recommends for each class four sets of unlabeled images with different visual concepts to increase the diversity and enlarge the training dataset. Experimental results on four datasets show that VisActive outperforms the state-of-the-art deep active learning methods.

About Me

JungHwan Oh received M.S. and Ph.D. degrees in computer science from the University of Central Florida in 1997 and 2000 respectively. Dr. Oh worked with the Department of Computer Science and Engineering at University of Texas, Arlington from 2001 to 2006. In 2006, he joined the Department of Computer Science and Engineering at University of North Texas. He has established a medical video research with the collaboration of Iowa State University and Mayo Clinic in 2003. This research focuses on the medical video (colonoscopy, endoscopy, broncoscopy, minimal access surgery, etc.) analyses and mining. As results of these researches, a number of proposals have been granted from National Science Foundation and National Institute of Health. He has organized a number of workshops and Special Sessions on multimedia data processing, and served as a member of program committee and an editor of various international conferences on imaging science, systems, and information technology. He is the author or coauthor of more than 120 journal articles, book chapters, and conference papers.

Prof. Junghwan Oh

Prof. Junghwan Oh

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About Me