Ho Hin Lee | DeepAI

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Featured Co-authors

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∙ 07/21/2023

Digital Modeling on Large Kernel Metamaterial Neural Network

Deep neural networks (DNNs) utilized recently are physically deployed wi...

0 Quan Liu, et al. ∙

∙ 05/09/2023

Region-based Contrastive Pretraining for Medical Image Retrieval with Anatomic Query

We introduce a novel Region-based contrastive pretraining for Medical Im...

3 Ho Hin Lee, et al. ∙

∙ 04/06/2023

Longitudinal Multimodal Transformer Integrating Imaging and Latent Clinical Signatures From Routine EHRs for Pulmonary Nodule Classification

The accuracy of predictive models for solitary pulmonary nodule (SPN) di...

0 Thomas Z. Li, et al. ∙

∙ 09/29/2022

3D UX-Net: A Large Kernel Volumetric ConvNet Modernizing Hierarchical Transformer for Medical Image Segmentation

Vision transformers (ViTs) have quickly superseded convolutional network...

0 Ho Hin Lee, et al. ∙

∙ 05/12/2022

Pseudo-Label Guided Multi-Contrast Generalization for Non-Contrast Organ-Aware Segmentation

Non-contrast computed tomography (NCCT) is commonly acquired for lung ca...

4 Ho Hin Lee, et al. ∙

∙ 03/04/2022

Characterizing Renal Structures with 3D Block Aggregate Transformers

Efficiently quantifying renal structures can provide distinct spatial co...

4 Xin Yu, et al. ∙

∙ 09/18/2021

Random Multi-Channel Image Synthesis for Multiplexed Immunofluorescence Imaging

Multiplex immunofluorescence (MxIF) is an emerging imaging technique tha...

0 Shunxing Bao, et al. ∙

∙ 07/25/2021

Lung Cancer Risk Estimation with Incomplete Data: A Joint Missing Imputation Perspective

Data from multi-modality provide complementary information in clinical p...

0 Riqiang Gao, et al. ∙

∙ 06/03/2021

Attention-Guided Supervised Contrastive Learning for Semantic Segmentation

Contrastive learning has shown superior performance in embedding global ...

10 Ho Hin Lee, et al. ∙

∙ 12/23/2020

Multi-Contrast Computed Tomography Healthy Kidney Atlas

The construction of three-dimensional multi-modal tissue maps provides a...

13 Ho Hin Lee, et al. ∙

∙ 12/23/2020

RAP-Net: Coarse-to-Fine Multi-Organ Segmentation with Single Random Anatomical Prior

Performing coarse-to-fine abdominal multi-organ segmentation facilitates...

0 Ho Hin Lee, et al. ∙

∙ 02/10/2020

Validation and Optimization of Multi-Organ Segmentation on Clinical Imaging Archives

Segmentation of abdominal computed tomography(CT) provides spatial conte...

0 Yuchen Xu, et al. ∙

∙ 02/10/2020

Outlier Guided Optimization of Abdominal Segmentation

Abdominal multi-organ segmentation of computed tomography (CT) images ha...

0 Yuchen Xu, et al. ∙

∙ 11/14/2019

Contrast Phase Classification with a Generative Adversarial Network

Dynamic contrast enhanced computed tomography (CT) is an imaging techniq...

49 Yucheng Tang, et al. ∙

∙ 11/12/2019

Semi-Supervised Multi-Organ Segmentation through Quality Assurance Supervision

Human in-the-loop quality assurance (QA) is typically performed after me...

9 Ho Hin Lee, et al. ∙

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