| CrossMoDA 2021 challenge: Benchmark of cross-modality domain adaptation techniques for vestibular schwannoma and cochlea segmentation R Dorent, A Kujawa, M Ivory, S Bakas, N Rieke, S Joutard, B Glocker, ... Medical Image Analysis 83, 102628, 2023 | 60 | 2023 |
| SDC-UDA: volumetric unsupervised domain adaptation framework for slice-direction continuous cross-modality medical image segmentation H Shin, H Kim, S Kim, Y Jun, T Eo, D Hwang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 26 | 2023 |
| COSMOS: cross-modality unsupervised domain adaptation for 3D medical image segmentation based on target-aware domain translation and iterative self-training H Shin, H Kim, S Kim, Y Jun, T Eo, D Hwang arXiv preprint arXiv:2203.16557, 2022 | 25 | 2022 |
| Dimix: Disentangle-and-mix based domain generalizable medical image segmentation H Kim, Y Shin, D Hwang International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 3 | 2023 |
| Position-Encoded Pixel-to-Prototype Contrastive Learning for Aortic Vessel Tree Segmentation H Kim, Y Shin, D Hwang MICCAI Challenge on Segmentation of the Aorta, 55-66, 2023 | | 2023 |
| Deep computational microscopy via physics-informed end-to-end learning with a learned forward model SA Lee, H Kim, K Kim, KC Lee, K Lee, T Eo, Y Jun, D Hwang | | 2023 |
| Deep residual network with data consistency for subsampled Fourier ptychographic microscopy HG Kim, KW Kim, KC Lee, TJ Eo, K Lee, Y Jun, SA Lee, DS Hwang Quantitative Phase Imaging VIII, PC119700B, 2022 | | 2022 |
| Are Two MR Images Enough to Generate the Third One Accurately?-Clinically Feasible Fat Suppression of Lumbar Spine MRI from T1w and T2w Images Only S Kim, H Jang, K Kim, HG Kim, YH Lee, S Kim, D Hwang | | |
| Supplementary Material for SDC-UDA: Volumetric Unsupervised Domain Adaptation Framework for Slice-Direction Continuous Cross-Modality Medical Image Segmentation H Shin, H Kim, S Kim, Y Jun, T Eo, D Hwang | | |
