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Frontiers in Medicine
|
November 10, 2025
CausalX-Net: a causality-guided explainable segmentation network for brain tumors
P Suman Prakash, Patike Kiran Rao, M Jahir Pasha, et al.
Korean Journal of Radiology
|
November 25, 2020
Evaluation of Left Atrial Appendage Isolation Using Cardiac MRI after Catheter Ablation of Atrial Fibrillation: Paradox of Appendage Reservoir
Hyungjoon Cho, Yongwon Cho, Jaemin Shim, et al.
Scientific Reports
|
March 28, 2019
A Fully Automated System Using A Convolutional Neural Network to Predict Renal Allograft Rejection: Extra-validation with Giga-pixel Immunostained Slides
Young-Gon Kim, Gyuheon Choi, Heounjeong Go, et al.
Frontiers in Medicine
|
May 1, 2026
Building novel LLM-enabled explainable ensemble transformer models combining endoscopic and CT images for discriminating the different grades of gastrointestinal cancers
Ali Algarni, Ahood A Al-Eidan, Surbhi B Khan, et al.
Frontiers in Bioengineering and Biotechnology
|
September 18, 2025
Deep learning model using cross-sequence learning to identify orbital fractures in radiographs of patients under 20 Years
Joohui Kim, Seungeun Lee, So Min Ahn, et al.
European Radiology
|
August 12, 2021
Machine learning with multiparametric breast MRI for prediction of Ki-67 and histologic grade in early-stage luminal breast cancer
Sung Eun Song, Kyu Ran Cho, Yongwon Cho, et al.
Journal of Digital Imaging
|
June 2, 2019
Fully Automated Lung Lobe Segmentation in Volumetric Chest CT with 3D U-Net: Validation with Intra- and Extra-Datasets
Jongha Park, Jihye Yun, Namkug Kim, et al.
AJNR. American Journal of Neuroradiology
|
December 5, 2023
Deep Learning-Based Synthetic TOF-MRA Generation Using Time-Resolved MRA in Fast Stroke Imaging
Sung-Hye You, Yongwon Cho, Byungjun Kim, et al.
Journal of Korean Medical Science
|
September 20, 2022
Efficient Segmentation for Left Atrium With Convolution Neural Network Based on Active Learning in Late Gadolinium Enhancement Magnetic Resonance Imaging
Yongwon Cho, Hyungjoon Cho, Jaemin Shim, et al.
Journal of Computer Assisted Tomography
|
November 10, 2023
Machine Learning-Based Magnetic Resonance Radiomics Analysis for Predicting Low- and High-Grade Clear Cell Renal Cell Carcinoma
Ki Choon Sim, Na Yeon Han, Yongwon Cho, et al.
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of 7
Search research articles
Search
Showing results (31-40 of 61) with videos related to
Sort By:
Page
of 7
Frontiers in Medicine
|
November 10, 2025
CausalX-Net: a causality-guided explainable segmentation network for brain tumors
P Suman Prakash, Patike Kiran Rao, M Jahir Pasha, et al.
Korean Journal of Radiology
|
November 25, 2020
Evaluation of Left Atrial Appendage Isolation Using Cardiac MRI after Catheter Ablation of Atrial Fibrillation: Paradox of Appendage Reservoir
Hyungjoon Cho, Yongwon Cho, Jaemin Shim, et al.
Scientific Reports
|
March 28, 2019
A Fully Automated System Using A Convolutional Neural Network to Predict Renal Allograft Rejection: Extra-validation with Giga-pixel Immunostained Slides
Young-Gon Kim, Gyuheon Choi, Heounjeong Go, et al.
Frontiers in Medicine
|
May 1, 2026
Building novel LLM-enabled explainable ensemble transformer models combining endoscopic and CT images for discriminating the different grades of gastrointestinal cancers
Ali Algarni, Ahood A Al-Eidan, Surbhi B Khan, et al.
Frontiers in Bioengineering and Biotechnology
|
September 18, 2025
Deep learning model using cross-sequence learning to identify orbital fractures in radiographs of patients under 20 Years
Joohui Kim, Seungeun Lee, So Min Ahn, et al.
European Radiology
|
August 12, 2021
Machine learning with multiparametric breast MRI for prediction of Ki-67 and histologic grade in early-stage luminal breast cancer
Sung Eun Song, Kyu Ran Cho, Yongwon Cho, et al.
Journal of Digital Imaging
|
June 2, 2019
Fully Automated Lung Lobe Segmentation in Volumetric Chest CT with 3D U-Net: Validation with Intra- and Extra-Datasets
Jongha Park, Jihye Yun, Namkug Kim, et al.
AJNR. American Journal of Neuroradiology
|
December 5, 2023
Deep Learning-Based Synthetic TOF-MRA Generation Using Time-Resolved MRA in Fast Stroke Imaging
Sung-Hye You, Yongwon Cho, Byungjun Kim, et al.
Journal of Korean Medical Science
|
September 20, 2022
Efficient Segmentation for Left Atrium With Convolution Neural Network Based on Active Learning in Late Gadolinium Enhancement Magnetic Resonance Imaging
Yongwon Cho, Hyungjoon Cho, Jaemin Shim, et al.
Journal of Computer Assisted Tomography
|
November 10, 2023
Machine Learning-Based Magnetic Resonance Radiomics Analysis for Predicting Low- and High-Grade Clear Cell Renal Cell Carcinoma
Ki Choon Sim, Na Yeon Han, Yongwon Cho, et al.
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of 7