Прати
Boah Kim
Boah Kim
Sungkyunkwan University
Верификована је имејл адреса на skku.edu
Наслов
Навело
Навело
Година
CycleMorph: Cycle consistent unsupervised deformable image registration
B Kim, DH Kim, SH Park, J Kim, JG Lee, JC Ye
Medical Image Analysis 71, 102036, 2021
2612021
Mumford–Shah loss functional for image segmentation with deep learning
B Kim, JC Ye
IEEE Transactions on Image Processing 29, 1856-1866, 2019
1612019
Unsupervised deformable image registration using cycle-consistent CNN
B Kim, J Kim, JG Lee, DH Kim, SH Park, JC Ye
International Conference on Medical Image Computing and Computer-Assisted …, 2019
972019
DiffuseMorph: Unsupervised Deformable Image Registration Using Diffusion Model
B Kim, I Han, JC Ye
Computer Vision–ECCV 2022: 17th European Conference, Tel Aviv, Israel …, 2022
96*2022
Diffusion deformable model for 4D temporal medical image generation
B Kim, JC Ye
International Conference on Medical Image Computing and Computer-Assisted …, 2022
962022
Federated split task-agnostic vision transformer for COVID-19 CXR diagnosis
S Park, G Kim, J Kim, B Kim, JC Ye
Advances in Neural Information Processing Systems 34, 24617-24630, 2021
88*2021
Diffusion Adversarial Representation Learning for Self-supervised Vessel Segmentation
B Kim, Y Oh, JC Ye
International Conference on Learning Representations (ICLR), 2023
772023
Cycle-consistent adversarial network with polyphase U-Nets for liver lesion segmentation
B Kim, JC Ye
152018
Task-Agnostic Vision Transformer for Distributed Learning of Image Processing
B Kim, J Kim, JC Ye
IEEE Transactions on Image Processing 32, 203-218, 2022
112022
Semantic Image Synthesis for Abdominal CT
Y Zhuang, B Hou, TS Mathai, P Mukherjee, B Kim, RM Summers
International Conference on Medical Image Computing and Computer-Assisted …, 2023
82023
MRIsegmentator-abdomen: a fully automated multi-organ and structure segmentation tool for T1-weighted abdominal MRI
Y Zhuang, TS Mathai, P Mukherjee, B Khoury, B Kim, B Hou, N Rabbee, ...
arXiv preprint arXiv:2405.05944, 2024
62024
C-DARL: Contrastive diffusion adversarial representation learning for label-free blood vessel segmentation
B Kim, Y Oh, BJ Wood, RM Summers, JC Ye
Medical Image Analysis 91, 103022, 2024
62024
Automated classification of body MRI sequence type using convolutional neural networks
K Helm, TS Mathai, B Kim, P Mukherjee, J Liu, RM Summers
Medical Imaging 2024: Computer-Aided Diagnosis 12927, 120-124, 2024
42024
Unsupervised Deformable Image Registration Using Polyphase UNet for 3D Brain MRI Volumes
AD Martin, B Kim, JC Ye
Investigative Magnetic Resonance Imaging 24 (4), 223-231, 2020
42020
Automated classification of multi-parametric body MRI series
B Kim, TS Mathai, K Helm, RM Summers
2024 IEEE International Symposium on Biomedical Imaging (ISBI), 1-5, 2024
32024
End-to-end semi-supervised opportunistic osteoporosis screening using computed tomography
J Oh, B Kim, G Oh, Y Hwangbo, JC Ye
Endocrinology and Metabolism 39 (3), 500-510, 2024
22024
Classification of Multi-Parametric Body MRI Series Using Deep Learning
B Kim, TS Mathai, K Helm, PA Pinto, RM Summers
IEEE journal of biomedical and health informatics, 2024
22024
Automated Classification of Body MRI Sequences Using Convolutional Neural Networks
B Kim, TS Mathai, K Helm, P Mukherjee, J Liu, RM Summers
Academic Radiology, 2024
12024
Unsupervised multi-parametric MRI registration using neural optimal transport
B Kim, TS Mathai, RM Summers
Medical Imaging 2024: Computer-Aided Diagnosis 12927, 187-192, 2024
12024
Leveraging Multiphase CT for Quality Enhancement of Portal Venous CT: Utility for Pancreas Segmentation
X Wang, TS Mathai, B Kim, RM Summers
arXiv preprint arXiv:2501.14013, 2025
2025
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