Ho Hin Lee

Orcid: 0000-0002-7378-2379

According to our database1, Ho Hin Lee authored at least 57 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
DeepN4: Learning N4ITK Bias Field Correction for T1-weighted Images.
Neuroinformatics, April, 2024

Brain age identification from diffusion MRI synergistically predicts neurodegenerative disease.
CoRR, 2024

MedImageInsight: An Open-Source Embedding Model for General Domain Medical Imaging.
CoRR, 2024

Data-driven Nucleus Subclassification on Colon H&E using Style-transferred Digital Pathology.
CoRR, 2024

Enhancing Single-Slice Segmentation with 3D-to-2D Unpaired Scan Distillation.
CoRR, 2024

BiomedParse: a biomedical foundation model for image parsing of everything everywhere all at once.
CoRR, 2024

Foundation Models for Biomedical Image Segmentation: A Survey.
CoRR, 2024

Nucleus subtype classification using inter-modality learning.
CoRR, 2024

Super-Resolution Multi-Contrast Unbiased Eye Atlases With Deep Probabilistic Refinement.
CoRR, 2024

Examining the roles of social media information exposure and seeking on COVID-19 vaccination through the S-O-R model: A two-wave panel in Hong Kong.
Comput. Hum. Behav., 2024

Mitigating Over-Saturated Fluorescence Images Through a Semi-Supervised Generative Adversarial Network.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023
UNesT: Local spatial representation learning with hierarchical transformer for efficient medical segmentation.
Medical Image Anal., December, 2023

Semantic-Aware Contrastive Learning for Multi-Object Medical Image Segmentation.
IEEE J. Biomed. Health Informatics, September, 2023

3D-MIR: A Benchmark and Empirical Study on 3D Medical Image Retrieval in Radiology.
CoRR, 2023

Predicting Age from White Matter Diffusivity with Residual Learning.
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

Digital Modeling on Large Kernel Metamaterial Neural Network.
CoRR, 2023

Multi-Contrast Computed Tomography Atlas of Healthy Pancreas.
CoRR, 2023

Region-based Contrastive Pretraining for Medical Image Retrieval with Anatomic Query.
CoRR, 2023

Unsupervised registration refinement for generating unbiased eye atlas.
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

Topological-preserving membrane skeleton segmentation in multiplex immunofluorescence imaging.
Proceedings of the Medical Imaging 2023: Digital and Computational Pathology, 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

Characterizing Renal Structures with 3D Block Aggregate Transformers.
CoRR, 2022

Multi-contrast computed tomography healthy kidney atlas.
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

Quantification of muscle, bones, and fat on single slice thigh CT.
Proceedings of the Medical Imaging 2022: Image Processing, 2022

Accelerating 2D abdominal organ segmentation with active learning.
Proceedings of the Medical Imaging 2022: Image Processing, 2022

Inpainting missing tissue in multiplexed immunofluorescence imaging.
Proceedings of the Medical Imaging 2022: Digital and Computational Pathology, 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
High-resolution 3D abdominal segmentation with random patch network fusion.
Medical Image Anal., 2021

Attention-Guided Supervised Contrastive Learning for Semantic Segmentation.
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

Construction of a multi-phase contrast computed tomography kidney atlas.
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021

Pancreas CT Segmentation by Predictive Phenotyping.
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

Random Multi-Channel Image Synthesis for Multiplexed Immunofluorescence Imaging.
Proceedings of the MICCAI Workshop on Computational Pathology, 2021

2020
Outlier guided optimization of abdominal segmentation.
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

Contrast phase classification with a generative adversarial network.
Proceedings of the Medical Imaging 2020: Image Processing, 2020

Semi-supervised multi-organ segmentation through quality assurance supervision.
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


  Loading...