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 | 579 | 2020 |
Text classification using capsules J Kim, S Jang, E Park, S Choi Neurocomputing 376, 214-221, 2020 | 213 | 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 | 190 | 2019 |
Patent document clustering with deep embeddings J Kim, J Yoon, E Park, S Choi Scientometrics 123 (2), 563-577, 2020 | 76 | 2020 |
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 | 18* | 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 | 14 | 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, ... arXiv preprint arXiv:2304.02389, https://arxiv.org/pdf/2304.02389.pdf, 2023 | 5 | 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 | 5 | 2021 |
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 |
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 | 2 | 2022 |
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 | 1 | 2023 |
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 |
Pseudo Outlier Exposure for Out-of-Distribution Detection using Pretrained Transformers J Kim, K Jung, D Na, S Jang, E Park, S Choi arXiv preprint arXiv:2307.09455, 2023 | | 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 BMVC, 10-11, 2023 | | 2023 |