Classification of the Clinical Images for Benign and Malignant Cutaneous Tumors Using a Deep Learning Algorithm
Han, Seung Seog, Kim, Myoung Shin, Lim, Woohyung, Park, Gyeong Hun, Park, Ilwoo, Chang, Sung Eun
Published in Journal of investigative dermatology (01.07.2018)
Published in Journal of investigative dermatology (01.07.2018)
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Deep neural networks show an equivalent and often superior performance to dermatologists in onychomycosis diagnosis: Automatic construction of onychomycosis datasets by region-based convolutional deep neural network
Han, Seung Seog, Park, Gyeong Hun, Lim, Woohyung, Kim, Myoung Shin, Na, Jung Im, Park, Ilwoo, Chang, Sung Eun
Published in PloS one (19.01.2018)
Published in PloS one (19.01.2018)
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Development of methods and feasibility of using hyperpolarized carbon‐13 imaging data for evaluating brain metabolism in patient studies
Park, Ilwoo, Larson, Peder E.Z., Gordon, Jeremy W., Carvajal, Lucas, Chen, Hsin‐Yu, Bok, Robert, Van Criekinge, Mark, Ferrone, Marcus, Slater, James B., Xu, Duan, Kurhanewicz, John, Vigneron, Daniel B., Chang, Susan, Nelson, Sarah J.
Published in Magnetic resonance in medicine (01.09.2018)
Published in Magnetic resonance in medicine (01.09.2018)
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Deep-learning model for evaluating histopathology of acute renal tubular injury
Nguyen, Thi Thuy Uyen, Nguyen, Anh-Tien, Kim, Hyeongwan, Jung, Yu Jin, Park, Woong, Kim, Kyoung Min, Park, Ilwoo, Kim, Won
Published in Scientific reports (19.04.2024)
Published in Scientific reports (19.04.2024)
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Assessment of deep neural networks for the diagnosis of benign and malignant skin neoplasms in comparison with dermatologists: A retrospective validation study
Han, Seung Seog, Moon, Ik Jun, Kim, Seong Hwan, Na, Jung-Im, Kim, Myoung Shin, Park, Gyeong Hun, Park, Ilwoo, Kim, Keewon, Lim, Woohyung, Lee, Ju Hee, Chang, Sung Eun
Published in PLoS medicine (25.11.2020)
Published in PLoS medicine (25.11.2020)
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Changes in pyruvate metabolism detected by magnetic resonance imaging are linked to DNA damage and serve as a sensor of temozolomide response in glioblastoma cells
Park, Ilwoo, Mukherjee, Joydeep, Ito, Motokazu, Chaumeil, Myriam M, Jalbert, Llewellyn E, Gaensler, Karin, Ronen, Sabrina M, Nelson, Sarah J, Pieper, Russell O
Published in Cancer research (Chicago, Ill.) (01.12.2014)
Published in Cancer research (Chicago, Ill.) (01.12.2014)
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Investigation and quantification of composition variability in urinary stone analysis
Le, Binh Duy, Oh, Kyung-Jin, Le, Anh Tuan, Hoang, Long, Park, Ilwoo
Published in Investigative and clinical urology (01.09.2024)
Published in Investigative and clinical urology (01.09.2024)
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Comparison of Normalization Techniques for Radiomics Features From Magnetic Resonance Imaging in Predicting Histologic Grade of Meningiomas
Quang, Le Thanh, Baek, Byung Hyun, Yoon, Woong, Kim, Seul Kee, Park, Ilwoo
Published in Investigative magnetic resonance imaging (01.06.2024)
Published in Investigative magnetic resonance imaging (01.06.2024)
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Journal Article
Differentiating Radiation Necrosis from Brain Tumor Using Hyperpolarized Carbon-13 MR Metabolic Imaging
Park, Ilwoo, Kim, Seulkee, Pucciarelli, Daniela, Song, Juhyun, Choi, Jin Myung, Lee, Kyung-Hwa, Kim, Yun Hyeon, Jung, Shin, Yoon, Woong, Nakamura, Jean L.
Published in Molecular imaging and biology (01.06.2021)
Published in Molecular imaging and biology (01.06.2021)
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Prediction of the histologic upgrade of ductal carcinoma in situ using a combined radiomics and machine learning approach based on breast dynamic contrast-enhanced magnetic resonance imaging
Lee, Hyo-Jae, Park, Jae Hyeok, Nguyen, Anh-Tien, Do, Luu-Ngoc, Park, Min Ho, Lee, Ji Shin, Park, Ilwoo, Lim, Hyo Soon
Published in Frontiers in oncology (02.11.2022)
Published in Frontiers in oncology (02.11.2022)
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Automatic Assessment of ASPECTS Using Diffusion-Weighted Imaging in Acute Ischemic Stroke Using Recurrent Residual Convolutional Neural Network
Do, Luu-Ngoc, Baek, Byung Hyun, Kim, Seul Kee, Yang, Hyung-Jeong, Park, Ilwoo, Yoon, Woong
Published in Diagnostics (Basel) (09.10.2020)
Published in Diagnostics (Basel) (09.10.2020)
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Classification of MR-Detected Additional Lesions in Patients With Breast Cancer Using a Combination of Radiomics Analysis and Machine Learning
Lee, Hyo-Jae, Nguyen, Anh-Tien, Ki, So Yeon, Lee, Jong Eun, Do, Luu-Ngoc, Park, Min Ho, Lee, Ji Shin, Kim, Hye Jung, Park, Ilwoo, Lim, Hyo Soon
Published in Frontiers in oncology (02.12.2021)
Published in Frontiers in oncology (02.12.2021)
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Efficacy of convection enhanced delivery of MTX110 (soluble panobinostat) in preclinical Diffuse Intrinsic Pontine Glioma models using metabolic hyperpolarized 13C imaging
Przystal, Justyna M., Park, Ilwoo, Zhang, Jie, Hadaczek, Piotr, Bankiewicz, Krystof, Gupta, Nalin, Nazarian, Javad, Mueller, Sabine
Published in EJC paediatric oncology (01.12.2023)
Published in EJC paediatric oncology (01.12.2023)
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A Radiomics Approach on Chest CT Distinguishes Primary Lung Cancer from Solitary Lung Metastasis in Colorectal Cancer Patients
Lee, Jong Eun, Do, Luu Ngoc, Jeong, Won Gi, Lee, Hyo Jae, Chae, Kum Ju, Kim, Yun Hyeon, Park, Ilwoo
Published in Journal of personalized medicine (07.11.2022)
Published in Journal of personalized medicine (07.11.2022)
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Predicting Underestimation of Invasive Cancer in Patients with Core-Needle-Biopsy-Diagnosed Ductal Carcinoma In Situ Using Deep Learning Algorithms
Do, Luu-Ngoc, Lee, Hyo-Jae, Im, Chaeyeong, Park, Jae Hyeok, Lim, Hyo Soon, Park, Ilwoo
Published in Tomography (Ann Arbor) (20.12.2022)
Published in Tomography (Ann Arbor) (20.12.2022)
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Dynamic hyperpolarized carbon-13 MR metabolic imaging of nonhuman primate brain
Park, Ilwoo, Larson, Peder E. Z., Tropp, James L., Carvajal, Lucas, Reed, Galen, Bok, Robert, Robb, Fraser, Bringas, John, Kells, Adrian, Pivirotto, Philip, Bankiewicz, Krystof, Vigneron, Daniel B., Nelson, Sarah J.
Published in Magnetic resonance in medicine (01.01.2014)
Published in Magnetic resonance in medicine (01.01.2014)
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