Jung Hwan Baek
University of Ulsan College of Medicine, Asan Medical Center, Korea
Professor Baek, Jung Hwan is a radiologist and professor at University of Ulsan College of Medicine, who is dedicated in thyroid & head/neck imaging and intervention. He has been working in the field for 24 years.
As the chief of Research Affair in Asan Medical Center, he has considerable experience with clinical trials and interventions of thyroid and neck diseases. He also has been serving on multiple national and international committees and a President of Korean Society of Thyroid Radiology.
He has established advanced diagnostic and interventional techniques including core needle biopsy, ethanol ablation (EA) and radiofrequency ablation (RFA) for thyroid and neck diseases. His research interests include thyroid and neck tumor imaging/intervention. He has published over 200 scientific papers and 8 book chapters. He has longstanding research relationships with many international collaborators who are in charge of diagnosis and treatment of thyroid diseases. He has conducted training program of thyroid including thyroid imaging, biopsy and non-surgical treatment (EA and RFA) at Asan Medical Center (Seoul, Korea), Asia, Europe and USA. Recently, he developed thyroid CAD system (S-Detect for thyroid) using an artificial intelligence.
He has established advanced diagnostic and interventional techniques including core needle biopsy, ethanol ablation (EA) and radiofrequency ablation (RFA) for thyroid and neck diseases. His research interests include thyroid and neck tumor imaging/intervention. He has published over 200 scientific papers and 8 book chapters. He has longstanding research relationships with many international collaborators who are in charge of diagnosis and treatment of thyroid diseases. He has conducted training program of thyroid including thyroid imaging, biopsy and non-surgical treatment (EA and RFA) at Asan Medical Center (Seoul, Korea), Asia, Europe and USA. Recently, he developed thyroid CAD system (S-Detect for thyroid) using an artificial intelligence.
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The academic assignments are as follows
| Date (UTC+8) | Time (UTC+8) | Local Time | Hall | Session | Role | Talk Title |
|---|---|---|---|---|---|---|
| 2020-12-19 | 11:15-11:40 | 2020-12-19,11:15-11:40 | Room 2 |
Symposium 18 Novel Image Guided Ablative Therapies for Thyroid Nodules and Cancer |
Speaker | RFA |