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Sungwon Ham

Showing results (1-10 of 27) with videos related to

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Radiology|July 15, 2025
Explainable AI in MRI for Breast Cancer Detection: Another Step ForwardMin Sun Bae, Sungwon Ham
Journal of Imaging Informatics in Medicine|May 12, 2026
Transfer learning for Multi-institutional Classification of Intussusception and Splenomegaly in Pediatric Abdominal RadiographsMinsoo Shin, Sungwon Ham, Yoon Lee, et al.
Scientific Reports|March 18, 2026
AI-powered ultrasound radiofrequency analysis for non-invasive pediatric liver fat quantificationGayoung Choi, Sungwon Ham, Bo-Kyung Je, et al.
Korean Journal of Radiology|August 28, 2025
Development of a Deep-Learning Model for Estimating Newborn Gestational Age via Lumbar Vertebral Segmentation on Plain RadiographySungwon Ham, Gayoung Choi, Bo-Kyung Je, et al.
Breast Cancer Research : BCR|March 11, 2025
Development of a deep learning-based model for guiding a dissection during robotic breast surgeryJeea Lee, Sungwon Ham, Namkug Kim, et al.
Plos One|February 23, 2026
Development of an automatic segmentation system for anterolateral thigh flap perforators in maxillofacial reconstructionJisu Oh, Sungwon Ham, Jihye Heo, et al.
Journal of Thoracic Disease|December 16, 2024
Development of a CT image-based virtual atelectasis simulation model and noninvasive lung nodule localization systemIntae Hwang, Sungwon Ham, Chohee Kim, et al.
Scientific Reports|April 27, 2023
Improvement of semantic segmentation through transfer learning of multi-class regions with convolutional neural networks on supine and prone breast MRI imagesSungwon Ham, Minjee Kim, Sangwook Lee, et al.
The Journal of Bone and Joint Surgery. American Volume|July 31, 2025
Enhanced Detection, Using Deep Learning Technology, of Medial Meniscal Posterior Horn Ramp Lesions in Patients with ACL InjuryHyung Jun Park, Sungwon Ham, Euddeum Shim, et al.
Scientific Reports|April 7, 2019
Radiomic features and multilayer perceptron network classifier: a robust MRI classification strategy for distinguishing glioblastoma from primary central nervous system lymphomaJihye Yun, Ji Eun Park, Hyunna Lee, et al.
Pageof 3

Showing results (1-10 of 27) with videos related to

Sort By:
Pageof 3
Radiology|July 15, 2025
Explainable AI in MRI for Breast Cancer Detection: Another Step ForwardMin Sun Bae, Sungwon Ham
Journal of Imaging Informatics in Medicine|May 12, 2026
Transfer learning for Multi-institutional Classification of Intussusception and Splenomegaly in Pediatric Abdominal RadiographsMinsoo Shin, Sungwon Ham, Yoon Lee, et al.
Scientific Reports|March 18, 2026
AI-powered ultrasound radiofrequency analysis for non-invasive pediatric liver fat quantificationGayoung Choi, Sungwon Ham, Bo-Kyung Je, et al.
Korean Journal of Radiology|August 28, 2025
Development of a Deep-Learning Model for Estimating Newborn Gestational Age via Lumbar Vertebral Segmentation on Plain RadiographySungwon Ham, Gayoung Choi, Bo-Kyung Je, et al.
Breast Cancer Research : BCR|March 11, 2025
Development of a deep learning-based model for guiding a dissection during robotic breast surgeryJeea Lee, Sungwon Ham, Namkug Kim, et al.
Plos One|February 23, 2026
Development of an automatic segmentation system for anterolateral thigh flap perforators in maxillofacial reconstructionJisu Oh, Sungwon Ham, Jihye Heo, et al.
Journal of Thoracic Disease|December 16, 2024
Development of a CT image-based virtual atelectasis simulation model and noninvasive lung nodule localization systemIntae Hwang, Sungwon Ham, Chohee Kim, et al.
Scientific Reports|April 27, 2023
Improvement of semantic segmentation through transfer learning of multi-class regions with convolutional neural networks on supine and prone breast MRI imagesSungwon Ham, Minjee Kim, Sangwook Lee, et al.
The Journal of Bone and Joint Surgery. American Volume|July 31, 2025
Enhanced Detection, Using Deep Learning Technology, of Medial Meniscal Posterior Horn Ramp Lesions in Patients with ACL InjuryHyung Jun Park, Sungwon Ham, Euddeum Shim, et al.
Scientific Reports|April 7, 2019
Radiomic features and multilayer perceptron network classifier: a robust MRI classification strategy for distinguishing glioblastoma from primary central nervous system lymphomaJihye Yun, Ji Eun Park, Hyunna Lee, et al.
Pageof 3