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Sungwon Ham

Showing results (21-30 of 27) with videos related to

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Scientific Reports|January 17, 2020
Active learning for accuracy enhancement of semantic segmentation with CNN-corrected label curations: Evaluation on kidney segmentation in abdominal CTTaehun Kim, Kyung Hwa Lee, Sungwon Ham, et al.
Scientific Reports|March 17, 2022
Author Correction: Active learning for accuracy enhancement of semantic segmentation with CNN-corrected label curations: Evaluation on kidney segmentation in abdominal CTTaehun Kim, Kyung Hwa Lee, Sungwon Ham, et al.
Scientific Reports|February 12, 2021
Machine learning approach for differentiating cytomegalovirus esophagitis from herpes simplex virus esophagitisJung Su Lee, Jihye Yun, Sungwon Ham, et al.
La Radiologia Medica|January 25, 2025
Superior performance in classification of breast cancer molecular subtype and histological factors by radiomics based on ultrafast MRI over standard MRI: evidence from a prospective studyJuhyun Jeong, Sungwon Ham, Bo Kyoung Seo, et al.
Korean Journal of Radiology|September 20, 2022
Development and Validation of a Model Using Radiomics Features from an Apparent Diffusion Coefficient Map to Diagnose Local Tumor Recurrence in Patients Treated for Head and Neck Squamous Cell CarcinomaMinjae Kim, Jeong Hyun Lee, Leehi Joo, et al.
Biomedicines|October 29, 2025
Enhancing Lesion Detection in Rat CT Images: A Deep Learning-Based Super-Resolution StudySungwon Ham, Sang Hoon Jeong, Hong Lee, et al.
Frontiers in Oncology|November 24, 2025
Optimized prediction of breast cancer tumor microenvironment using MRI-based intratumoral and peritumoral radiomics: a prospective studyEun Sil Kim, Sungwon Ham, Bo Kyoung Seo, et al.
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Showing results (21-30 of 27) with videos related to

Sort By:
Pageof 3
You have reached the last page of results.This site can display upto 27 results.
Scientific Reports|January 17, 2020
Active learning for accuracy enhancement of semantic segmentation with CNN-corrected label curations: Evaluation on kidney segmentation in abdominal CTTaehun Kim, Kyung Hwa Lee, Sungwon Ham, et al.
Scientific Reports|March 17, 2022
Author Correction: Active learning for accuracy enhancement of semantic segmentation with CNN-corrected label curations: Evaluation on kidney segmentation in abdominal CTTaehun Kim, Kyung Hwa Lee, Sungwon Ham, et al.
Scientific Reports|February 12, 2021
Machine learning approach for differentiating cytomegalovirus esophagitis from herpes simplex virus esophagitisJung Su Lee, Jihye Yun, Sungwon Ham, et al.
La Radiologia Medica|January 25, 2025
Superior performance in classification of breast cancer molecular subtype and histological factors by radiomics based on ultrafast MRI over standard MRI: evidence from a prospective studyJuhyun Jeong, Sungwon Ham, Bo Kyoung Seo, et al.
Korean Journal of Radiology|September 20, 2022
Development and Validation of a Model Using Radiomics Features from an Apparent Diffusion Coefficient Map to Diagnose Local Tumor Recurrence in Patients Treated for Head and Neck Squamous Cell CarcinomaMinjae Kim, Jeong Hyun Lee, Leehi Joo, et al.
Biomedicines|October 29, 2025
Enhancing Lesion Detection in Rat CT Images: A Deep Learning-Based Super-Resolution StudySungwon Ham, Sang Hoon Jeong, Hong Lee, et al.
Frontiers in Oncology|November 24, 2025
Optimized prediction of breast cancer tumor microenvironment using MRI-based intratumoral and peritumoral radiomics: a prospective studyEun Sil Kim, Sungwon Ham, Bo Kyoung Seo, et al.
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