Deep Learning-based Image Conversion of CT Reconstruction Kernels Improves Radiomics Reproducibility for Pulmonary Nodules or Masses von Choe, Jooae, Lee, Sang Min, Do, Kyung-Hyun, Lee, Gaeun, Lee, June-Goo, Lee, Sang Min, Seo, Joon Beom

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Deep Learning in Medical Imaging: General Overview von Lee, June-Goo, Jun, Sanghoon, Cho, Young-Won, Lee, Hyunna, Kim, Guk Bae, Seo, Joon Beom, Kim, Namkug

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Abdominal multi-organ auto-segmentation using 3D-patch-based deep convolutional neural network von Kim, Hojin, Jung, Jinhong, Kim, Jieun, Cho, Byungchul, Kwak, Jungwon, Jang, Jeong Yun, Lee, Sang-wook, Lee, June-Goo, Yoon, Sang Min

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Assessment of Luminal and Basal Phenotypes in Bladder Cancer von Guo, Charles C., Bondaruk, Jolanta, Yao, Hui, Wang, Ziqiao, Zhang, Li, Lee, Sangkyou, Lee, June-Goo, Cogdell, David, Zhang, Miao, Yang, Guoliang, Dadhania, Vipulkumar, Choi, Woonyoung, Wei, Peng, Gao, Jianjun, Theodorescu, Dan, Logothetis, Christopher, Dinney, Colin, Kimmel, Marek, Weinstein, John N., McConkey, David J., Czerniak, Bogdan

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Machine Learning–Based Automatic Rating for Cardinal Symptoms of Parkinson Disease von Park, Kye Won, Lee, Eun-Jae, Lee, Jun Seong, Jeong, Jinhoon, Choi, Nari, Jo, Sungyang, Jung, Mina, Do, Ja Yeon, Kang, Dong-Wha, Lee, June-Goo, Chung, Sun Ju

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Deep learning–based algorithm to detect primary hepatic malignancy in multiphase CT of patients at high risk for HCC von Kim, Dong Wook, Lee, Gaeun, Kim, So Yeon, Ahn, Geunhwi, Lee, June-Goo, Lee, Seung Soo, Kim, Kyung Won, Park, Seong Ho, Lee, Yoon Jin, Kim, Namkug

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Fully Automatic Coronary Calcium Score Software Empowered by Artificial Intelligence Technology: Validation Study Using Three CT Cohorts von Lee, June-Goo, Kim, HeeSoo, Kang, Heejun, Koo, Hyun Jung, Kang, Joon-Won, Kim, Young-Hak, Yang, Dong Hyun

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Improvement of fully automated airway segmentation on volumetric computed tomographic images using a 2.5 dimensional convolutional neural net von Yun, Jihye, Park, Jinkon, Yu, Donghoon, Yi, Jaeyoun, Lee, Minho, Park, Hee Jun, Lee, June-Goo, Seo, Joon Beom, Kim, Namkug

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Deep Learning Algorithm for Reducing CT Slice Thickness: Effect on Reproducibility of Radiomic Features in Lung Cancer von Park, Sohee, Lee, Sang Min, Do, Kyung-Hyun, Lee, June-Goo, Bae, Woong, Park, Hyunho, Jung, Kyu-Hwan, Seo, Joon Beom

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Fully automated segmentation of cartilage from the MR images of knee using a multi‐atlas and local structural analysis method von Lee, June‐Goo, Gumus, Serter, Moon, Chan Hong, Kwoh, C. Kent, Bae, Kyongtae Ty

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Outcome prediction in resectable lung adenocarcinoma patients: value of CT radiomics von Choe, Jooae, Lee, Sang Min, Do, Kyung-Hyun, Kim, Seonok, Choi, Sehoon, Lee, June-Goo, Seo, Joon Beom

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Prognostic value of radiomic analysis of iodine overlay maps from dual-energy computed tomography in patients with resectable lung cancer von Choe, Jooae, Lee, Sang Min, Do, Kyung-Hyun, Lee, Jung Bok, Lee, Sang Min, Lee, June-Goo, Seo, Joon Beom

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Machine learning assessment of myocardial ischemia using angiography: Development and retrospective validation von Hae, Hyeonyong, Kang, Soo-Jin, Kim, Won-Jang, Choi, So-Yeon, Lee, June-Goo, Bae, Youngoh, Cho, Hyungjoo, Yang, Dong Hyun, Kang, Joon-Won, Lim, Tae-Hwan, Lee, Cheol Hyun, 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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CT Image Conversion among Different Reconstruction Kernels without a Sinogram by Using a Convolutional Neural Network von Lee, Sang Min, Lee, June Goo, Lee, Gaeun, Choe, Jooae, Do, Kyung Hyun, Kim, Namkug, Seo, Joon Beom

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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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A deep learning–based automatic analysis of cardiovascular borders on chest radiographs of valvular heart disease: development/external validation von Kim, Cherry, Lee, Gaeun, Oh, Hongmin, Jeong, Gyujun, Kim, Sun Won, Chun, Eun Ju, Kim, Young-Hak, Lee, June-Goo, Yang, Dong Hyun

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Automated detection of vulnerable plaque in intravascular ultrasound images von Jun, Tae Joon, Kang, Soo-Jin, Lee, June-Goo, Kweon, Jihoon, Na, Wonjun, Kang, Daeyoun, Kim, Dohyeun, Kim, Daeyoung, Kim, Young-Hak

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Automated Segmentation of Left Ventricular Myocardium on Cardiac Computed Tomography Using Deep Learning von Koo, Hyun Jung, Lee, June Goo, Ko, Ji Yeon, Lee, Gaeun, Kang, Joon Won, Kim, Young Hak, Yang, Dong Hyun

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ZOZI-Seg: A transformer and UNet cascade network with Zoom-Out and Zoom-In scheme for aortic dissection segmentation in enhanced CT images von Jung, Ji-Hoon, Oh, Hong Min, Jeong, Gyu-Jun, Kim, Tae-Won, Koo, Hyun Jung, Lee, June-Goo, Yang, Dong Hyun

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Hybrid Airway Segmentation Using Multi-Scale Tubular Structure Filters and Texture Analysis on 3D Chest CT Scans von Lee, Minho, Lee, June-Goo, Kim, Namkug, Seo, Joon Beom, Lee, Sang Min

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