Multi-categorical deep learning neural network to classify retinal images: A pilot study employing small database von Choi, Joon Yul, Yoo, Tae Keun, Seo, Jeong Gi, Kwak, Jiyong, Um, Terry Taewoong, Rim, Tyler Hyungtaek

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Exploring linearity of deep neural network trained QSM: QSMnet von Jung, Woojin, Yoon, Jaeyeon, Ji, Sooyeon, Choi, Joon Yul, Kim, Jae Myung, Nam, Yoonho, Kim, Eung Yeop, Lee, Jongho

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The possibility of the combination of OCT and fundus images for improving the diagnostic accuracy of deep learning for age-related macular degeneration: a preliminary experiment von Yoo, Tae Keun, Choi, Joon Yul, Seo, Jeong Gi, Ramasubramanian, Bhoopalan, Selvaperumal, Sundaramoorthy, Kim, Deok Won

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Screening Patients with Early Stage Parkinson's Disease Using a Machine Learning Technique: Measuring the Amount of Iron in the Basal Ganglia von Lee, Seon, Oh, Se-Hong, Park, Sun-Won, Shin, Chaewon, Kim, Jeehun, Rhim, Jung-Hyo, Lee, Jee-Young, Choi, Joon-Yul

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Artificial neural network for myelin water imaging von Lee, Jieun, Lee, Doohee, Choi, Joon Yul, Shin, Dongmyung, Shin, Hyeong‐Geol, Lee, Jongho

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Longitudinal investigation of optic chiasm in patients with traumatic brain injury von Kim, Hyun-Ho, Jang, Wonpil, Kim, Cheol-Woon, Choi, Joon Yul

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Development of a generative deep learning model to improve epiretinal membrane detection in fundus photography von Choi, Joon Yul, Ryu, Ik Hee, Kim, Jin Kuk, Lee, In Sik, Yoo, Tae Keun

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Evaluation of Normal‐Appearing White Matter in Multiple Sclerosis Using Direct Visualization of Short Transverse Relaxation Time Component (ViSTa) Myelin Water Imaging and Gradient... von Choi, Joon Yul, Jeong, In Hye, Oh, Se‐Hong, Oh, Chang‐Hyun, Park, Na Young, Kim, Ho Jin, Lee, Jongho

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Mechanisms of T2 anisotropy and gradient echo myelin water imaging von Lee, Jongho, Nam, Yoonho, Choi, Joon Yul, Kim, Eung Yeop, Oh, Se‐Hong, Kim, Dong‐Hyun

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Multimodal Image Integration for Epilepsy Presurgical Evaluation: A Clinical Workflow von Jin, Liri, Choi, Joon Yul, Bulacio, Juan, Alexopoulos, Andreas, Burgess, Richard C., Murakami, Hiroatsu, Bingaman, William, Najm, Imad, Wang, Zhong Irene

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Automated detection of crystalline retinopathy via fundus photography using multistage generative adversarial networks von Young Choi, Eun, Han, Seung Hoon, Hee Ryu, Ik, Kuk Kim, Jin, Sik Lee, In, Han, Eoksoo, Kim, Hyungsu, Yul Choi, Joon, Keun Yoo, Tae

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Comparison of myelin water fraction values in periventricular white matter lesions between multiple sclerosis and neuromyelitis optica spectrum disorder von Jeong, In Hye, Choi, Joon Yul, Kim, Su-Hyun, Hyun, Jae-Won, Joung, AeRan, Lee, Jongho, Kim, Ho Jin

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Osteoporosis risk prediction for bone mineral density assessment of postmenopausal women using machine learning von Yoo, Tae Keun, Kim, Sung Kean, Kim, Deok Won, Choi, Joon Yul, Lee, Wan Hyung, Oh, Ein, Park, Eun-Cheol

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Feasibility study to improve deep learning in OCT diagnosis of rare retinal diseases with few-shot classification von Yoo, Tae Keun, Choi, Joon Yul, Kim, Hong Kyu

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Development of a novel scoring system for glaucoma risk based on demographic and laboratory factors using ChatGPT-4 von Choi, Joon Yul, Yoo, Tae Keun

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Effects of radiation emitted by WCDMA mobile phones on electromagnetic hypersensitive subjects von Kwon, Min Kyung, Choi, Joon Yul, Kim, Sung Kean, Yoo, Tae Keun, Kim, Deok Won

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A generative adversarial network approach to predicting postoperative appearance after orbital decompression surgery for thyroid eye disease von Yoo, Tae Keun, Choi, Joon Yul, Kim, Hong Kyu

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CycleGAN-based deep learning technique for artifact reduction in fundus photography von Yoo, Tae Keun, Choi, Joon Yul, Kim, Hong Kyu

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Adopting low-shot deep learning for the detection of conjunctival melanoma using ocular surface images von Yoo, Tae Keun, Choi, Joon Yul, Kim, Hong Kyu, Ryu, Ik Hee, Kim, Jin Kuk

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Outcomes of Adversarial Attacks on Deep Learning Models for Ophthalmology Imaging Domains von Yoo, Tae Keun, Choi, Joon Yul

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