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Jaeyoung Kim
Jaeyoung Kim
TEAMREBOOTT Inc.
Verified email at reboott.ai - Homepage
Title
Cited by
Cited by
Year
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
5212020
Text classification using capsules
J Kim, S Jang, E Park, S Choi
Neurocomputing 376, 214-221, 2020
2052020
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
1722019
Patent document clustering with deep embeddings
J Kim, J Yoon, E Park, S Choi
Scientometrics 123 (2), 563-577, 2020
742020
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
16*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
142019
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
62021
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
42023
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
22022
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
12023
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
12023
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, H Choi, B Yoon, S Choi, KH Jung
2023
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