Ho Hin Lee
Orcid: 0000-0002-7378-2379
According to our database1,
Ho Hin Lee
authored at least 48 papers
between 2020 and 2024.
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Bibliography
2024
Neuroinformatics, April, 2024
Super-Resolution Multi-Contrast Unbiased Eye Atlases With Deep Probabilistic Refinement.
CoRR, 2024
2023
UNesT: Local spatial representation learning with hierarchical transformer for efficient medical segmentation.
Medical Image Anal., December, 2023
IEEE J. Biomed. Health Informatics, September, 2023
CoRR, 2023
DeformUX-Net: Exploring a 3D Foundation Backbone for Medical Image Segmentation with Depthwise Deformable Convolution.
CoRR, 2023
Inter-vendor harmonization of Computed Tomography (CT) reconstruction kernels using unpaired image translation.
CoRR, 2023
Deep conditional generative models for longitudinal single-slice abdominal computed tomography harmonization.
CoRR, 2023
Enhancing Hierarchical Transformers for Whole Brain Segmentation with Intracranial Measurements Integration.
CoRR, 2023
Region-based Contrastive Pretraining for Medical Image Retrieval with Anatomic Query.
CoRR, 2023
Proceedings of the Medical Imaging 2023: Image Processing, 2023
Longitudinal variability analysis on low-dose abdominal CT with deep learning-based segmentation.
Proceedings of the Medical Imaging 2023: Image Processing, 2023
Convolutional-recurrent neural networks approximate diffusion tractography from T1-weighted MRI and associated anatomical context.
Proceedings of the Medical Imaging with Deep Learning, 2023
Alleviating tiling effect by random walk sliding window in high-resolution histological whole slide image synthesis.
Proceedings of the Medical Imaging with Deep Learning, 2023
Longitudinal Multimodal Transformer Integrating Imaging and Latent Clinical Signatures from Routine EHRs for Pulmonary Nodule Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Scaling up 3D Kernels with Bayesian Frequency Re-parameterization for Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
3D UX-Net: A Large Kernel Volumetric ConvNet Modernizing Hierarchical Transformer for Medical Image Segmentation.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
2022
Workflow Integration of Research AI Tools into a Hospital Radiology Rapid Prototyping Environment.
J. Digit. Imaging, 2022
Single Slice Thigh CT Muscle Group Segmentation with Domain Adaptation and Self-Training.
CoRR, 2022
Adaptive Contrastive Learning with Dynamic Correlation for Multi-Phase Organ Segmentation.
CoRR, 2022
Pseudo-Label Guided Multi-Contrast Generalization for Non-Contrast Organ-Aware Segmentation.
CoRR, 2022
ModDrop++: A Dynamic Filter Network with Intra-subject Co-training for Multiple Sclerosis Lesion Segmentation with Missing Modalities.
CoRR, 2022
Comput. Biol. Medicine, 2022
Supervised deep generation of high-resolution arterial phase computed tomography kidney substructure atlas.
Proceedings of the Medical Imaging 2022: Image Processing, 2022
Proceedings of the Medical Imaging 2022: Image Processing, 2022
Proceedings of the Medical Imaging 2022: Image Processing, 2022
Reducing Positional Variance in Cross-sectional Abdominal CT Slices with Deep Conditional Generative Models.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
ModDrop++: A Dynamic Filter Network with Intra-subject Co-training for Multiple Sclerosis Lesion Segmentation with Missing Modalities.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
MxIF Q-score: Biology-Informed Quality Assurance for Multiplexed Immunofluorescence Imaging.
Proceedings of the Medical Optical Imaging and Virtual Microscopy Image Analysis, 2022
2021
Medical Image Anal., 2021
CoRR, 2021
Renal cortex, medulla and pelvicaliceal system segmentation on arterial phase CT images with random patch-based networks.
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Lung Cancer Risk Estimation with Incomplete Data: A Joint Missing Imputation Perspective.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Rap-Net: Coarse-To-Fine Multi-Organ Segmentation With Single Random Anatomical Prior.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
Proceedings of the MICCAI Workshop on Computational Pathology, 2021
2020
Proceedings of the Medical Imaging 2020: Image Processing, 2020
Validation and optimization of multi-organ segmentation on clinical imaging archives.
Proceedings of the Medical Imaging 2020: Image Processing, 2020
Proceedings of the Medical Imaging 2020: Image Processing, 2020
Proceedings of the Medical Imaging 2020: Image Processing, 2020
Prediction of Type II Diabetes Onset with Computed Tomography and Electronic Medical Records.
Proceedings of the Multimodal Learning for Clinical Decision Support and Clinical Image-Based Procedures, 2020