| Deep learning in medical imaging M Kim, J Yun, Y Cho, K Shin, R Jang, H Bae, N Kim Neurospine 16 (4), 657, 2019 | 279 | 2019 |
| Fully automated lung lobe segmentation in volumetric chest CT with 3D U-Net: validation with intra-and extra-datasets J Park, J Yun, N Kim, B Park, Y Cho, HJ Park, M Song, M Lee, JB Seo Journal of digital imaging 33, 221-230, 2020 | 102 | 2020 |
| Electronic device for displaying three-dimensional image and method of using the same S Im, S Yu, KIM Sangki, K Lim, CHO Yongwon, KIM Taehyeong US Patent 9,030,487, 2015 | 84 | 2015 |
| SmartBuckle: human activity recognition using a 3-axis accelerometer and a wearable camera Y Cho, Y Nam, YJ Choi, WD Cho Proceedings of the 2nd international workshop on systems and networking …, 2008 | 80 | 2008 |
| Gesture-based user interface method and apparatus S Im, S Yu, K Lim, KIM Sangki, CHO Yongwon US Patent 8,830,302, 2014 | 68 | 2014 |
| Application of deep learning–based computer-aided detection system: detecting pneumothorax on chest radiograph after biopsy S Park, SM Lee, N Kim, J Choe, Y Cho, KH Do, JB Seo European radiology 29, 5341-5348, 2019 | 64 | 2019 |
| Fully automated 3D segmentation and separation of multiple cervical vertebrae in CT images using a 2D convolutional neural network HJ Bae, H Hyun, Y Byeon, K Shin, Y Cho, YJ Song, S Yi, SU Kuh, ... Computer methods and programs in biomedicine 184, 105119, 2020 | 42 | 2020 |
| Enhancement of surgical hand gesture recognition using a capsule network for a contactless interface in the operating room A Lee, Y Cho, S Jin, N Kim Computer methods and programs in biomedicine 190, 105385, 2020 | 37 | 2020 |
| Deep active learning for automatic segmentation of maxillary sinus lesions using a convolutional neural network SK Jung, HK Lim, S Lee, Y Cho, IS Song Diagnostics 11 (4), 688, 2021 | 34 | 2021 |
| Method and electronic device for gesture-based key input KIM Sangki, S Im, S Yu, K Lim, CHO Yongwon, KIM Taehyeong US Patent 9,201,590, 2015 | 32 | 2015 |
| Device for reproducing content and method thereof KIM Taehyeong, CHO Yongwon, S Yu, S Kim, S Im US Patent 8,875,191, 2014 | 26 | 2014 |
| A curriculum learning strategy to enhance the accuracy of classification of various lesions in chest-PA X-ray screening for pulmonary abnormalities B Park, Y Cho, G Lee, SM Lee, YH Cho, ES Lee, KH Lee, JB Seo, N Kim Scientific reports 9 (1), 15352, 2019 | 25 | 2019 |
| A fully automated system using a convolutional neural network to predict renal allograft rejection: Extra-validation with giga-pixel immunostained slides YG Kim, G Choi, H Go, Y Cho, H Lee, AR Lee, B Park, N Kim Scientific reports 9 (1), 5123, 2019 | 24 | 2019 |
| Enhancement of gesture recognition for contactless interface using a personalized classifier in the operating room Y Cho, A Lee, J Park, B Ko, N Kim Computer methods and programs in biomedicine 161, 39-44, 2018 | 23 | 2018 |
| Short-term reproducibility of pulmonary nodule and mass detection in chest radiographs: comparison among radiologists and four different computer-aided detections with … YG Kim, Y Cho, CJ Wu, S Park, KH Jung, JB Seo, HJ Lee, HJ Hwang, ... Scientific Reports 9 (1), 18738, 2019 | 21 | 2019 |
| Deep learning in medical imaging M Kim, J Yun, Y Cho, K Shin, R Jang, H Bae, N Kim Neurospine 17 (2), 471, 2020 | 20 | 2020 |
| Deep semi-supervised learning for automatic segmentation of inferior alveolar nerve using a convolutional neural network HK Lim, SK Jung, SH Kim, Y Cho, IS Song BMC Oral Health 21, 1-9, 2021 | 18 | 2021 |
| Machine learning with multiparametric breast MRI for prediction of Ki-67 and histologic grade in early-stage luminal breast cancer Song Sung Eun, Kyu Ran Cho, Yongwon Cho, Kwangsoo Kim, Seung Pil Jung, Bo ... European Radiology, 1-11, 2021 | 13* | 2021 |
| Hepatocellular carcinoma pathologic grade prediction using radiomics and machine learning models of gadoxetic acid-enhanced MRI: a two-center study YE Han, Y Cho, MJ Kim, BJ Park, DJ Sung, NY Han, KC Sim, YS Park, ... Abdominal Radiology 48 (1), 244-256, 2023 | 9 | 2023 |
| Optimal number of strong labels for curriculum learning with convolutional neural network to classify pulmonary abnormalities in chest radiographs Y Cho, B Park, SM Lee, KH Lee, JB Seo, N Kim Computers in Biology and Medicine 136, 104750, 2021 | 9 | 2021 |
