Publications by authors named "Yongwon Cho"

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An ensemble heterogeneous transformer model for an effective diagnosis of multiple plant diseases.
Ponugoti Kalpana, Pradeepini Gera, Eatedal Alabdulkreem, Mohammad Tabrez Quasim, Jamel Baili, Yongwon Cho

Front Plant Sci· December 2025

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Beyond diagnosis: deep-learning-based analysis of hospitalization using abdominal radiographs in the emergency department.
Yeo Eun Han, Yongwon Cho, Beom Jin Park, Ki Choon Sim, Na Yeon Han

Abdom Radiol (NY)· December 2025

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CausalX-Net: a causality-guided explainable segmentation network for brain tumors.
P Suman Prakash, Patike Kiran Rao, M Jahir Pasha, Ali Algarni, Manel Ayadi, Yongwon Cho

Front Med (Lausanne)· November 2025

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An optimized transfer learning approach integrating deep convolutional feature extractors for malaria parasite classification in erythrocyte microscopy.
C Kishor Kumar Reddy, P R Anisha, Ahlam Almushharaf, Radhika Talla, Jamel Baili, Yongwon Cho

Front Med (Lausanne)· November 2025

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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, Gayoung Choi, Bo-Kyung Je, Yongwon Cho

Front Bioeng Biotechnol· September 2025

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UANV: UNet-based attention network for thoracolumbar vertebral compression fracture angle measurement.
Yurim Lee, Joohyun Kim, Kyu-Chong Lee, Sungjae An, Yongwon Cho

Sci Rep· June 2025

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Downward adjustment of rehabilitation goals may facilitate post-stroke arm motor recovery.
Yongwon Cho, Jeremy M Hamm, Jutta Heckhausen, Steven C Cramer

Psychol Health· February 2025

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Deep learning-based automated guide for defining a standard imaging plane for developmental dysplasia of the hip screening using ultrasonography: a retrospective imaging analysis.
Kyung-Sik Ahn, Ji Hye Choi, Heejou Kwon, Seoyeon Lee, Yongwon Cho

BMC Med Inform Decis Mak· February 2025

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Synthetic temporal bone CT generation from UTE-MRI using a cycleGAN-based deep learning model: advancing beyond CT-MR imaging fusion.
Sung-Hye You, Yongwon Cho, Byungjun Kim, Jeeho Kim, Gi Jung Im

Eur Radiol· January 2025

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Adaptive dynamic inference for few-shot left atrium segmentation.
Jun Chen, Xuejiao Li, Heye Zhang, Yongwon Cho, Sung Ho Hwang

Med Image Anal· December 2024

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Evaluation of Pencycuron Residue Dynamics in Eggplant Using LC-MS/MS and Establishment of Pre-Harvest Residue Limits.
Da-Geon Lee, Jae-Woon Baek, Hye-Ran Eun, Ye-Jin Lee, Su-Min Kim, Yong-Won Cho

Foods· November 2024

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Development and multicenter validation of deep convolutional neural network-based detection of colorectal cancer on abdominal CT.
Yeo Eun Han, Yongwon Cho, Beom Jin Park, Min Ju Kim, Ki Choon Sim

Eur Radiol· September 2024

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Correction: Deep learning model for differentiating nasal cavity masses based on nasal endoscopy images.
Junhu Tai, Munsoo Han, Bo Yoon Choi, Sung Hoon Kang, Hyeongeun Kim, Yongwon Cho

BMC Med Inform Decis Mak· June 2024

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Deep learning model for differentiating nasal cavity masses based on nasal endoscopy images.
Junhu Tai, Munsoo Han, Bo Yoon Choi, Sung Hoon Kang, Hyeongeun Kim, Yongwon Cho

BMC Med Inform Decis Mak· May 2024

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Multimodal integration of neuroimaging and genetic data for the diagnosis of mood disorders based on computer vision models.
Seungeun Lee, Yongwon Cho, Yuyoung Ji, Minhyek Jeon, Aram Kim

J Psychiatr Res· April 2024

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Development and validation of CT‑based radiomics model of PET-negative residual CT masses: a potential biomarker for predicting relapse‑free survival in non-Hodgkin lymphoma patients showing complete metabolic response.
Seung Ha Cha, Ka-Won Kang, Na Yeon Han, Yongwon Cho, Deuk Jae Sung, Ki Choon Sim

Abdom Radiol (NY)· January 2024

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Deep Learning-Based Synthetic TOF-MRA Generation Using Time-Resolved MRA in Fast Stroke Imaging.
Sung-Hye You, Yongwon Cho, Byungjun Kim, Kyung-Sook Yang, InSeong Kim

AJNR Am J Neuroradiol· December 2023

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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, Deuk Jae Sung, Beom Jin Park

J Comput Assist Tomogr· November 2023

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General Overview of Artificial Intelligence for Interstitial Cystitis in Urology.
Yongwon Cho, Jong Mok Park, Seunghyun Youn

Int Neurourol J· November 2023

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Tumor Heterogeneity of Breast Cancer Assessed with Computed Tomography Texture Analysis: Association with Disease-Free Survival and Clinicopathological Prognostic Factor.
Hyeongyu Yoo, Kyu Ran Cho, Sung Eun Song, Yongwon Cho, Seung Pil Jung

Diagnostics (Basel)· November 2023

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Deep-Learning-Based Automated Rotator Cuff Tear Screening in Three Planes of Shoulder MRI.
Kyu-Chong Lee, Yongwon Cho, Kyung-Sik Ahn, Hyun-Joon Park, Young-Shin Kang

Diagnostics (Basel)· October 2023

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Prediction of Axillary Lymph Node Metastasis in Early-stage Triple-Negative Breast Cancer Using Multiparametric and Radiomic Features of Breast MRI.
Sung Eun Song, Ok Hee Woo, Yongwon Cho, Kyu Ran Cho, Kyong Hwa Park

Acad Radiol· September 2023

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Aortic Annulus Detection Based on Deep Learning for Transcatheter Aortic Valve Replacement Using Cardiac Computed Tomography.
Yongwon Cho, Soojung Park, Sung Ho Hwang, Minseok Ko, Do-Sun Lim

J Korean Med Sci· September 2023

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Value of Breast MRI and Nomogram After Negative Axillary Ultrasound for Predicting Axillary Lymph Node Metastasis in Patients With Clinically T1-2 N0 Breast Cancer.
Sung Eun Song, Kyu Ran Cho, Yongwon Cho, Seung Pil Jung, Kyong-Hwa Park

J Korean Med Sci· August 2023

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Intravesical Bladder Treatment and Deep Learning Applications to Improve Irritative Voiding Symptoms Caused by Interstitial Cystitis: A Literature Review.
Yongwon Cho, Seunghyun Youn

Int Neurourol J· May 2023

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