Expertise and Research Interests:

Mr. Tran is experienced in various areas: Research Scientist, Machine Learning / Deep Learning algorithm and software development, Object Oriented, Client/Server programming with Python, Visual C++, C#, VB, GUI and Web Page designs, Oracle Server, MS-SQL Server, and Networking in Windows environment. He is also experienced in IOS application development.

Mr. Tran received his master’s degree in Computer Science from George Mason University. He also has an Oracle DBA & Developer Certificate from Oracle Corp. and a System Engineer Certificate from EDS Corp. He is currently a Research Scientist, Deep Learning Software developer for several projects at ACIB.

Mr. Tran was previously designed and developed the applications for several projects such as Medical Article Recording System (MARS), Web-based Medical Article Recording System (WebMARS), Publisher Data Review System (PDRS), and In-Memory Processing for Publisher Online Articles (IMPPOA). He designed the architecture and developed a system called the WebMARS Assisted Indexing System (WAIS). The system assisted indexers to recognize the index-terms of medical journals.

Publications:

Kim J, Tran L. Ensemble Convolutional Neural Networks for the Classification and Visualization of Retinal Diseases in Optical Coherence Tomography Images. IEEE-CBMS 2023, pp. 123-28, L'Aquila, Italy, June 2023.

Kim J, Tran L, Peto T, Chew EY, HN. Deep Learning and Ensemble Method for Optic Disc and Cup Segmentation. IEEE CIBCB 2022, August 15-17, 2022. https://doi.org/10.1109/CIBCB55180.2022.9863022.

Kim J, Tran L, Peto T, Chew EY. Identifying Those at Risk of Glaucoma: A Deep Learning Approach for Optic Disc and Cup Segmentation and Their Boundary Analysis. Diagnostics 2022, 12(5), 1063; https://doi.org/10.3390/diagnostics12051063.

Kim J, Tran L. Retinal Disease Classification from OCT Images Using Deep Learning Algorithms. IEEE-CIBCB 2021, pp. 42-47, Melbourne, Australia, October 2021

Kim J, Tran L. Ensemble Learning Based on Convolutional Neural Networks for the Classification of Retinal Diseases from Optical Coherence Tomography Images. 2020 IEEE 33rd International Symposium on Computer-Based Medical Systems (IEEE CBMS 2020), pp 535-540, Rochester, USA, July 2020. DOI Bookmark: 10.1109/CBMS49503.2020.00106.

Kim J, Tran L, Chew E, Antani SK. Optic Disc and Cup Segmentation for Glaucoma Characterization Using Deep Learning. 2019 IEEE 32th International Symposium on Computer-Based Medical Systems (CBMS), pp 489-494, Cordoba, Spain, June 2019.

Kim J, Tran L, Chew E, Antani SK, Thoma GR. Optic Disc Segmentation in Fundus Images Using Deep Learning. SPIE Medical Imaging 2019: Imaging Informatics for Healthcare, Research, and Applications, Vol. 10954, San Diego, USA, February 2019.

Thoma GR, Le DX, Kim I, Kim JW, Moon C, Tran L, Zou J. Automation to Accelerate the Production of MEDLINE. April 2008 Technical Report to the LHNCBC Board of Scientific Counselors.

Tran LQ, Moon CW, Le DX, Thoma GR. Web Page Downloading and Classification. Proc. 14th IEEE Symposium on Computer-Based Medical Systems: IEEE Computer Society. 2001 Jul;:321-6.

Le DX, Tran LQ, Chow J, Kim J, Hauser SE, Moon CW, Thoma GR. Automated Medical Citation Records Creation for Web-Based Online Journals. Proc. 14th IEEE Symposium on Computer-Based Medical Systems: IEEE Computer Society. 2001.