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Boah Kim
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2020 – today
- 2024
- [j5]Boah Kim
, Yujin Oh
C-DARL: Contrastive diffusion adversarial representation learning for label-free blood vessel segmentation. Medical Image Anal. 91: 103022 (2024) - [j4]Boah Kim
Classification of Multi-Parametric Body MRI Series Using Deep Learning. IEEE J. Biomed. Health Informatics 28(11): 6791-6802 (2024) - [c8]Boah Kim, Tejas Sudharshan Mathai, Kimberly Helm, Ronald M. Summers:
Automated Classification of Multi-Parametric Body MRI Series. ISBI 2024: 1-5 - [i12]Kimberly Helm, Tejas Sudharshan Mathai, Boah Kim
Automated Classification of Body MRI Sequence Type Using Convolutional Neural Networks. CoRR abs/2402.08098 (2024) - [i11]Yan Zhuang, Tejas Sudharshan Mathai, Pritam Mukherjee, Brandon Khoury, Boah Kim, Benjamin Hou, Nusrat Rabbee, Ronald M. Summers:
MRISegmentator-Abdomen: A Fully Automated Multi-Organ and Structure Segmentation Tool for T1-weighted Abdominal MRI. CoRR abs/2405.05944 (2024) - [i10]Boah Kim, Tejas Sudharshan Mathai, Kimberly Helm, Ronald M. Summers:
Automated classification of multi-parametric body MRI series. CoRR abs/2405.08247 (2024) - 2023
- [j3]Boah Kim
Task-Agnostic Vision Transformer for Distributed Learning of Image Processing. IEEE Trans. Image Process. 32: 203-218 (2023) - [c7]Boah Kim, Yujin Oh, Jong Chul Ye:
Diffusion Adversarial Representation Learning for Self-supervised Vessel Segmentation. ICLR 2023 - [c6]Yan Zhuang, Benjamin Hou, Tejas Sudharshan Mathai, Pritam Mukherjee, Boah Kim, Ronald M. Summers:
Semantic Image Synthesis for Abdominal CT. DGM4MICCAI 2023: 214-224 - [i9]Boah Kim
C-DARL: Contrastive diffusion adversarial representation learning for label-free blood vessel segmentation. CoRR abs/2308.00193 (2023) - [i8]Yan Zhuang, Benjamin Hou, Tejas Sudharshan Mathai, Pritam Mukherjee, Boah Kim
Semantic Image Synthesis for Abdominal CT. CoRR abs/2312.06453 (2023) - 2022
- [c5]Inhwa Han, Boah Kim
Contrast Agent Removal for Brain CT Angiography Using Switchable CycleGAN with AdaIN and Histogram Equalization. AICAS 2022: 262-265 - [c4]Boah Kim
DiffuseMorph: Unsupervised Deformable Image Registration Using Diffusion Model. ECCV (31) 2022: 347-364 - [c3]Boah Kim
Diffusion Deformable Model for 4D Temporal Medical Image Generation. MICCAI (1) 2022: 539-548 - [i7]Boah Kim
Diffusion Deformable Model for 4D Temporal Medical Image Generation. CoRR abs/2206.13295 (2022) - [i6]Boah Kim
Diffusion Adversarial Representation Learning for Self-supervised Vessel Segmentation. CoRR abs/2209.14566 (2022) - 2021
- [j2]Boah Kim
CycleMorph: Cycle consistent unsupervised deformable image registration. Medical Image Anal. 71: 102036 (2021) - [c2]Sangjoon Park, Gwanghyun Kim, Jeongsol Kim, Boah Kim, Jong Chul Ye:
Federated Split Task-Agnostic Vision Transformer for COVID-19 CXR Diagnosis. NeurIPS 2021: 24617-24630 - [i5]Sangjoon Park, Gwanghyun Kim, Jeongsol Kim, Boah Kim, Jong Chul Ye:
Federated Split Vision Transformer for COVID-19 CXR Diagnosis using Task-Agnostic Training. CoRR abs/2111.01338 (2021) - [i4]Boah Kim, Inhwa Han, Jong Chul Ye:
DiffuseMorph: Unsupervised Deformable Image Registration Along Continuous Trajectory Using Diffusion Models. CoRR abs/2112.05149 (2021) - 2020
- [j1]Boah Kim
Mumford-Shah Loss Functional for Image Segmentation With Deep Learning. IEEE Trans. Image Process. 29: 1856-1866 (2020) - [i3]Boah Kim, Dong Hwan Kim, Seong Ho Park, Jieun Kim, June-Goo Lee, Jong Chul Ye:
CycleMorph: Cycle Consistent Unsupervised Deformable Image Registration. CoRR abs/2008.05772 (2020)
2010 – 2019
- 2019
- [c1]Boah Kim
Unsupervised Deformable Image Registration Using Cycle-Consistent CNN. MICCAI (6) 2019: 166-174 - [i2]Boah Kim, Jong Chul Ye:
Multiphase Level-Set Loss for Semi-Supervised and Unsupervised Segmentation with Deep Learning. CoRR abs/1904.02872 (2019) - [i1]Boah Kim, Jieun Kim, June-Goo Lee, Dong Hwan Kim, Seong Ho Park, Jong Chul Ye:
Unsupervised Deformable Image Registration Using Cycle-Consistent CNN. CoRR abs/1907.01319 (2019)
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last updated on 2024-12-02 21:29 CET by the dblp team
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