| Refuge challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs JI Orlando, H Fu, JB Breda, K Van Keer, DR Bathula, A Diaz-Pinto, ... Medical image analysis 59, 101570, 2020 | 712 | 2020 |
| DeNTNet: Deep Neural Transfer Network for the detection of periodontal bone loss using panoramic dental radiographs J Kim, HS Lee, IS Song, KH Jung Scientific reports 9 (1), 17615, 2019 | 249 | 2019 |
| Text classification using capsules J Kim, S Jang, E Park, S Choi Neurocomputing 376, 214-221, 2020 | 229 | 2020 |
| Patent document clustering with deep embeddings J Kim, J Yoon, E Park, S Choi Scientometrics 123 (2), 563-577, 2020 | 82 | 2020 |
| DRAC 2022: A public benchmark for diabetic retinopathy analysis on ultra-wide optical coherence tomography angiography images B Qian, H Chen, X Wang, Z Guan, T Li, Y Jin, Y Wu, Y Wen, H Che, ... Patterns 5 (3), 2024 | 56 | 2024 |
| A two-stage deep learning-based system for patent citation recommendation J Choi, J Lee, J Yoon, S Jang, J Kim, S Choi Scientometrics 127 (11), 6615-6636, 2022 | 24* | 2022 |
| Development and validation of deep learning-based algorithms for the estimation of chronological age using panoramic dental x-ray images J Kim, W Bae, KH Jung, IS Song | 15 | 2019 |
| DRAC: Diabetic Retinopathy Analysis Challenge with Ultra-Wide Optical Coherence Tomography Angiography Images B Qian, H Chen, X Wang, H Che, G Kwon, J Kim, S Choi, S Shin, F Krause, ... Patterns 5 (3), https://arxiv.org/pdf/2304.02389.pdf, 2023 | 12 | 2023 |
| Leveraging the generalization ability of deep convolutional neural networks for improving classifiers for color fundus photographs J Son, J Kim, ST Kong, KH Jung Applied Sciences 11 (2), 591, 2021 | 8 | 2021 |
| Bag of tricks for developing diabetic retinopathy analysis framework to overcome data scarcity G Kwon, E Kim, S Kim, S Bak, M Kim, J Kim MICCAI Challenge on Mitosis Domain Generalization, 59-73, 2022 | 6 | 2022 |
| Dalda: Data augmentation leveraging diffusion model and llm with adaptive guidance scaling K Jung, Y Seo, S Cho, J Kim, H Min, S Choi arXiv preprint arXiv:2409.16949, 2024 | 3 | 2024 |
| Pseudo Outlier Exposure for Out-of-Distribution Detection using Pretrained Transformers J Kim, K Jung, D Na, S Jang, E Park, S Choi Findings of the Association for Computational Linguistics (ACL 2023), 2023 | 3 | 2023 |
| Bag of Tricks for In-Distribution Calibration of Pretrained Transformers J Kim, D Na, S Choi, S Lim European Chapter of the Association for Computational Linguistics (EACL), 2023 | 3 | 2023 |
| Improving Out-of-Distribution Detection Performance using Synthetic Outlier Exposure Generated by Visual Foundation Models. G Kwon, J Kim, HJ Choi, BM Yoon, S Choi, KH Jung British Machine Vision Conference (BMVC 2023), 10-11, 2023 | 3 | 2023 |
| Key Feature Replacement of In-Distribution Samples for Out-of-Distribution Detection J Kim, ST Kong, D Na, KH Jung Association for the Advancement of Artificial Intelligence (AAAI 2023), 2023 | 3 | 2023 |
| Multi-LLM Collaborative Caption Generation in Scientific Documents J Kim, J Lee, HJ Choi, TY Hsu, CY Huang, S Kim, RA Rossi, T Yu, ... AAAI 2025 workshop: Towards a Knowledge-grounded Scientific Research Lifecycle, 0 | 1* | |
| Semi-supervised Segmentation Through Rival Networks Collaboration with Saliency Map in Diabetic Retinopathy E Kim, G Kwon, J Kim, H Park International Conference on Medical Image Computing and Computer-Assisted …, 2024 | | 2024 |
| Multi-Stage Region-Based Neural Networks for Fine-Grained Glaucoma Screening E Kim, S Lee, G Kwon, H Kim, J Kim 2024 IEEE International Symposium on Biomedical Imaging (ISBI), 1-4, 2024 | | 2024 |
| An Empirical Evaluation of Out-of-Distribution Detection Using Pretrained Language Models B Yoon, J Kim 2023 5th International Conference on Control and Robotics (ICCR), 302-308, 2023 | | 2023 |
Sungchul ChoiPukyong National UniversityVerified email at pknu.ac.kr
