Kiwan Jeon
Ph.D. Korea Advanced Institute of Science and Technology 2010
Facts
7 properties- Instance of
- human
- Country of citizenship
- South Korea[2]
- Occupation
- researcher
- Doctoral advisor
- Chang-Ock Lee[5]
🏷️ Also known as
en Kiwan Jeon
ko 전기완
🔖 Identifiers · 6
- ORCID iD
- 0000-0002-2460-7478
- IEEE Xplore author ID
- 37088498673
- LinkedIn personal profile ID
- kiwan-jeon-2156b3147
- MR Author ID
- 885351
- Mathematics Genealogy Project ID
- 262327
- ResearchGate profile ID
- Kiwan-Jeon
🔗 Connections
Author of 11
3D cephalometric landmark detection by multiple stage deep reinforcement learning,
A fidelity‐embedded learning for metal artifact reduction in dental CBCT,
Automatic 3D cephalometric annotation system using shadowed 2D image-based machine learning,
Automatic three-dimensional cephalometric annotation system using three-dimensional convolutional neural networks: a developmental trial,
Denoising of pediatric low dose abdominal CT using deep learning based algorithm,
Diagnostic Performance of a New Convolutional Neural Network Algorithm for Detecting Developmental Dysplasia of the Hip on Anteroposterior Radiographs,
Machine learning-based signal quality assessment for cardiac volume monitoring in electrical impedance tomography,
Machine learning prediction of stone-free success in patients with urinary stone after treatment of shock wave lithotripsy
+3 more
← Authored by 11
3D cephalometric landmark detection by multiple stage deep reinforcement learning,
A fidelity‐embedded learning for metal artifact reduction in dental CBCT,
Automatic 3D cephalometric annotation system using shadowed 2D image-based machine learning,
Automatic three-dimensional cephalometric annotation system using three-dimensional convolutional neural networks: a developmental trial,
Denoising of pediatric low dose abdominal CT using deep learning based algorithm,
Diagnostic Performance of a New Convolutional Neural Network Algorithm for Detecting Developmental Dysplasia of the Hip on Anteroposterior Radiographs,
Machine learning-based signal quality assessment for cardiac volume monitoring in electrical impedance tomography,
Machine learning prediction of stone-free success in patients with urinary stone after treatment of shock wave lithotripsy
+3 more
Affiliated with 1
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