| SONNET: A self-guided ordinal regression neural network for segmentation and classification of nuclei in large-scale multi-tissue histology images TNN Doan, B Song, TTL Vuong, K Kim, JT Kwak IEEE Journal of Biomedical and Health Informatics 26 (7), 3218-3228, 2022 | 33 | 2022 |
| Multi-scale binary pattern encoding network for cancer classification in pathology images TTL Vuong, B Song, K Kim, YM Cho, JT Kwak IEEE Journal of Biomedical and Health Informatics 26 (3), 1152-1163, 2021 | 26 | 2021 |
| Joint categorical and ordinal learning for cancer grading in pathology images TT Le Vuong, K Kim, B Song, JT Kwak Medical image analysis 73, 102206, 2021 | 25 | 2021 |
| Multi-task deep learning for colon cancer grading TLT Vuong, D Lee, JT Kwak, K Kim 2020 International conference on electronics, information, and communication …, 2020 | 22 | 2020 |
| Impash: a novel domain-shift resistant representation for colorectal cancer tissue classification TTL Vuong, QD Vu, M Jahanifar, S Graham, JT Kwak, N Rajpoot European Conference on Computer Vision, 543-555, 2022 | 14 | 2022 |
| CoNIC Challenge: Pushing the frontiers of nuclear detection, segmentation, classification and counting S Graham, QD Vu, M Jahanifar, M Weigert, U Schmidt, W Zhang, J Zhang, ... Medical image analysis 92, 103047, 2024 | 9 | 2024 |
| Prediction of Epstein-Barr virus status in gastric cancer biopsy specimens using a deep learning algorithm TT Le Vuong, B Song, JT Kwak, K Kim JAMA Network Open 5 (10), e2236408-e2236408, 2022 | 8 | 2022 |
| Ranking loss: a ranking-based deep neural network for colorectal cancer grading in pathology images TT Le Vuong, K Kim, B Song, JT Kwak Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 6 | 2021 |
| Domain generalization in computational pathology: survey and guidelines M Jahanifar, M Raza, K Xu, T Vuong, R Jewsbury, A Shephard, ... arXiv preprint arXiv:2310.19656, 2023 | 5 | 2023 |
| Multi-cell type and multi-level graph aggregation network for cancer grading in pathology images SF Abbas, TT Le Vuong, K Kim, B Song, JT Kwak Medical Image Analysis 90, 102936, 2023 | 3 | 2023 |
| Performance Analysis and Comparison of Knowledge Distillation Among Diverse Teacher and Student Models J Lee, TT Le Vuong, J Wang, J Kan, K Byeon, JC Lee, S Jung, DC Bui, ... 2023 IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia), 1-4, 2023 | | 2023 |
| Boosting Knowledge Distillation via Random Fourier Features for Prostate Cancer Grading in Histopathology Images T Thi Le Vuong, JT Kwak MICCAI Workshop on Domain Adaptation and Representation Transfer, 73-83, 2023 | | 2023 |
| MoMA: Momentum Contrastive Learning with Multi-head Attention-based Knowledge Distillation for Histopathology Image Analysis TTL Vuong, JT Kwak arXiv preprint arXiv:2308.16561, 2023 | | 2023 |
| Quintet margin loss for an improved knowledge distillation in histopathology image analysis TTL Vuong, JT Kwak Medical Imaging 2023: Digital and Computational Pathology 12471, 124-128, 2023 | | 2023 |
| Development of a software application for the segmentation of a cerebral infarction from 3D diffusion weighted imaging HL Le, TT Le Vuong, CH Han, TNN Doan, HG Roh, HJ Kim, JT Kwak 한국정보과학회 학술발표논문집, 837-839, 2021 | | 2021 |
| Investigating the effect of self-supervised contrastive learning on mitosis classification TT Le Vuong, M Jahanifar, N Zamanitajeddin, JT Kwak, R Nasir 27th Conference on Medical Image Understanding and Analysis 2023, 213, 0 | | |
Jin Tae KwakKorea UniversityVerified email at korea.ac.kr
