DeepRegularizer: Rapid Resolution Enhancement of Tomographic Imaging Using Deep Learning von Ryu, DongHun, Ryu, Dongmin, Baek, YoonSeok, Cho, Hyungjoo, Kim, Geon, Kim, Young Seo, Lee, Yongki, Kim, Yoosik, Ye, Jong Chul, Min, Hyun-Seok, Park, YongKeun

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Angiography-Based Machine Learning for Predicting Fractional Flow Reserve in Intermediate Coronary Artery Lesions von Cho, Hyungjoo, Lee, June-Goo, Kang, Soo-Jin, Kim, Won-Jang, Choi, So-Yeon, Ko, Jiyuon, Min, Hyun-Seok, Choi, Gun-Ho, Kang, Do-Yoon, Lee, Pil Hyung, Ahn, Jung-Min, Park, Duk-Woo, Lee, Seung-Whan, Kim, Young-Hak, Lee, Cheol Whan, Park, Seong-Wook, Park, Seung-Jung

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Machine-learning-based diagnosis of thyroid fine-needle aspiration biopsy synergistically by Papanicolaou staining and refractive index distribution von Lee, Young Ki, Ryu, Dongmin, Kim, Seungwoo, Park, Juyeon, Park, Seog Yun, Ryu, Donghun, Lee, Hayoung, Lim, Sungbin, Min, Hyun-Seok, Park, YongKeun, Lee, Eun Kyung

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Prediction of Postoperative Creatinine Levels by Artificial Intelligence after Partial Nephrectomy von Shin, Tae Young, Han, Hyunho, Min, Hyun-Seok, Cho, Hyungjoo, Kim, Seonggyun, Park, Sung Yul, Kim, Hyung Joon, Kim, Jung Hoon, Lee, Yong Seong

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Deep learning-based label-free hematology analysis framework using optical diffraction tomography von Ryu, Dongmin, Bak, Taeyoung, Ahn, Daewoong, Kang, Hayoung, Oh, Sanggeun, Min, Hyun-seok, Lee, Sumin, Lee, Jimin

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Learning-based screening of hematologic disorders using quantitative phase imaging of individual red blood cells von Kim, Geon, Jo, YoungJu, Cho, Hyungjoo, Min, Hyun-seok, Park, YongKeun

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Calibration-free quantitative phase imaging using data-driven aberration modeling von Chang, Taean, Ryu, DongHun, Jo, YoungJu, Choi, Gunho, Min, Hyun-Seok, Park, YongKeun

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Artificial intelligence-enabled quantitative phase imaging methods for life sciences von Park, Juyeon, Bai, Bijie, Ryu, DongHun, Liu, Tairan, Lee, Chungha, Luo, Yi, Lee, Mahn Jae, Huang, Luzhe, Shin, Jeongwon, Zhang, Yijie, Ryu, Dongmin, Li, Yuzhu, Kim, Geon, Min, Hyun-seok, Ozcan, Aydogan, Park, YongKeun

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Expert-level segmentation using deep learning for volumetry of polycystic kidney and liver von Shin, Tae Young, Kim, Hyunsuk, Lee, Joong-Hyup, Choi, Jong-Suk, Min, Hyun-Seok, Cho, Hyungjoo, Kim, Kyungwook, Kang, Geon, Kim, Jungkyu, Yoon, Sieun, Park, Hyungyu, Hwang, Yeong Uk, Kim, Hyo Jin, Han, Miyeun, Bae, Eunjin, Yoon, Jong Woo, Rha, Koon Ho, Lee, Yong Seong

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Near-Duplicate Video Clip Detection Using Model-Free Semantic Concept Detection and Adaptive Semantic Distance Measurement von Hyun-seok Min, Jae Young Choi, De Neve, W., Yong Man Ro

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Association of resistance training and moderate-to-vigorous physical activity with clinical outcomes in men with airflow limitation: a nationwide population-based study von Kim, Taeyun, Hyun, Seok Min, Shin, Sun Hye, Im, Yunjoo, Na, Yoonju, Do, Jong Geol, Park, Hye Yun, Kong, Sunga

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Prediction of coronary thin-cap fibroatheroma by intravascular ultrasound-based machine learning von Bae, Youngoh, Kang, Soo-Jin, Kim, Geena, Lee, June-Goo, Min, Hyun-Seok, Cho, Hyungjoo, Kang, Do-Yoon, Lee, Pil Hyung, Ahn, Jung-Min, Park, Duk-Woo, Lee, Seung-Whan, Kim, Young-Hak, Lee, Cheol Whan, Park, Seong-Wook, Park, Seung-Jung

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Exploiting collective knowledge in an image folksonomy for semantic-based near-duplicate video detection von Hyun-seok Min, De Neve, W, Yong Man Ro

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Neural Angular Plaque Characterization: Automated Quantification of Polar Distribution for Plaque Composition von Cho, Hyungjoo, Choi, Dongmin, Min, Hyun-Seok, Kang, Soo-Jin, Kim, Hwiyoung

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ENHANCING INFERTILITY CARE WITH A CHATGPT-BASED CHATBOT: INTEGRATING CLINICAL AND COMMUNITY INSIGHTS FOR IMPROVED PATIENT SUPPORT von Lee, Chaewon, Chae, Han Joo, Kim, Hyung Min, Lee, Hyejun, Choi, Sungchul, Min, Hyun-Seok

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Bimodal fusion of low-level visual features and high-level semantic features for near-duplicate video clip detection von Min, Hyun-seok, Choi, Jae Young, De Neve, Wesley, Ro, Yong Man

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Sparse Representation-Based Human Action Recognition Using an Action Region-Aware Dictionary von Hyun-Seok Min, De Neve, Wesley, Yong Man Ro

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Label-free 3-D quantitative phase imaging cytometry with deep learning: identifying naive, memory, and senescent T cells von Ryu, DongHun, Kim, Kyunghwan, Cho, Hayeon, Dao, Khoi, Kim, Young Seo, Ahn, Daewoong, Min, Hyun-Seok, Shin, Eui-Cheol, Park, YongKeun

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Calibration-free quantitative phase imaging using data-driven aberration modeling von Chang, Taean, Youngju Jo, Choi, Gunho, Ryu, Donghun, Hyun-Seok, Min, Park, Yongkeun

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Use of semantic features for filtering of malicious content in an IPTV environment von Hyun-Seok Min, De Neve, W., Yong Man Ro

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