| ECG arrhythmia classification using a 2-D convolutional neural network TJ Jun, HM Nguyen, D Kang, D Kim, D Kim, YH Kim arXiv preprint arXiv:1804.06812, 2018 | 347 | 2018 |
| T-net: Nested encoder–decoder architecture for the main vessel segmentation in coronary angiography TJ Jun, J Kweon, YH Kim, D Kim Neural Networks 128, 216-233, 2020 | 69 | 2020 |
| Premature ventricular contraction beat detection with deep neural networks TJ Jun, HJ Park, NH Minh, D Kim, YH Kim 2016 15th IEEE International Conference on Machine Learning and Applications …, 2016 | 68 | 2016 |
| Gpu enabled serverless computing framework J Kim, TJ Jun, D Kang, D Kim, D Kim 2018 26th Euromicro International Conference on Parallel, Distributed and …, 2018 | 53 | 2018 |
| Automated detection of vulnerable plaque in intravascular ultrasound images TJ Jun, SJ Kang, JG Lee, J Kweon, W Na, D Kang, D Kim, D Kim, YH Kim Medical & biological engineering & computing 57, 863-876, 2019 | 46 | 2019 |
| Dapas: Denoising autoencoder to prevent adversarial attack in semantic segmentation S Cho, TJ Jun, B Oh, D Kim 2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020 | 40 | 2020 |
| Unbalanced gans: Pre-training the generator of generative adversarial network using variational autoencoder H Ham, TJ Jun, D Kim arXiv preprint arXiv:2002.02112, 2020 | 39 | 2020 |
| TRk-CNN: transferable ranking-CNN for image classification of glaucoma, glaucoma suspect, and normal eyes TJ Jun, Y Eom, D Kim, C Kim, JH Park, HM Nguyen, YH Kim, D Kim Expert Systems with Applications 182, 115211, 2021 | 35 | 2021 |
| ConVGPU: GPU management middleware in container based virtualized environment D Kang, TJ Jun, D Kim, J Kim, D Kim 2017 IEEE international conference on cluster computing (CLUSTER), 301-309, 2017 | 35 | 2017 |
| CardioNet: a manually curated database for artificial intelligence-based research on cardiovascular diseases I Ahn, W Na, O Kwon, DH Yang, GM Park, H Gwon, HJ Kang, YU Jeong, ... BMC medical informatics and decision making 21, 1-15, 2021 | 33 | 2021 |
| xECGNet: Fine-tuning attention map within convolutional neural network to improve detection and explainability of concurrent cardiac arrhythmias J Yoo, TJ Jun, YH Kim Computer Methods and Programs in Biomedicine 208, 106281, 2021 | 27 | 2021 |
| Explaining how deep neural networks forget by deep visualization G Nguyen, S Chen, TJ Jun, D Kim Pattern Recognition. ICPR International Workshops and Challenges: Virtual …, 2021 | 27* | 2021 |
| Tournament based ranking CNN for the cataract grading TJ Jun, Y Eom, C Kim, D Kim 2019 41st Annual International Conference of the IEEE Engineering in …, 2019 | 24 | 2019 |
| A workload prediction approach using models stacking based on recurrent neural network and autoencoder HM Nguyen, S Woo, J Im, T Jun, D Kim 2016 IEEE 18th International Conference on High Performance Computing and …, 2016 | 23 | 2016 |
| Contcap: A scalable framework for continual image captioning G Nguyen, TJ Jun, T Tran, T Yalew, D Kim arXiv preprint arXiv:1909.08745, 2019 | 20* | 2019 |
| Machine learning–based hospital discharge prediction for patients with cardiovascular diseases: development and usability study I Ahn, H Gwon, H Kang, Y Kim, H Seo, H Choi, HN Cho, M Kim, TJ Jun, ... JMIR Medical Informatics 9 (11), e32662, 2021 | 19 | 2021 |
| GPU based cloud system for high-performance arrhythmia detection with parallel k-NN algorithm TJ Jun, HJ Park, H Yoo, YH Kim, D Kim 2016 38th Annual International Conference of the IEEE Engineering in …, 2016 | 19 | 2016 |
| Automated diagnosis of pneumothorax using an ensemble of convolutional neural networks with multi-sized chest radiography images TJ Jun, D Kim, D Kim arXiv preprint arXiv:1804.06821, 2018 | 18 | 2018 |
| Enhancing clinical efficiency through llm: Discharge note generation for cardiac patients HJ Jung, Y Kim, H Choi, H Seo, M Kim, JY Han, G Kee, S Park, S Ko, ... arXiv preprint arXiv:2404.05144, 2024 | 15 | 2024 |
| ESNemble: an Echo State Network-based ensemble for workload prediction and resource allocation of Web applications in the cloud HM Nguyen, G Kalra, TJ Jun, S Woo, D Kim The Journal of Supercomputing 75, 6303-6323, 2019 | 15 | 2019 |
Young-hak Kim울산대 서울아산병원 교수Dirección de correo verificada de amc.seoul.kr
