b'Dinggang Shen'

research

∙ 08/20/2023

Contrastive Diffusion Model with Auxiliary Guidance for Coarse-to-Fine PET Reconstruction

To obtain high-quality positron emission tomography (PET) scans while re...

0 Zeyu Han, et al. ∙

research

∙ 08/13/2023

Tissue Segmentation of Thick-Slice Fetal Brain MR Scans with Guidance from High-Quality Isotropic Volumes

Accurate tissue segmentation of thick-slice fetal brain magnetic resonan...

0 Shijie Huang, et al. ∙

research

∙ 07/24/2023

Multi-View Vertebra Localization and Identification from CT Images

Accurately localizing and identifying vertebrae from CT images is crucia...

0 Han Wu, et al. ∙

research

∙ 05/25/2023

ChatCAD+: Towards a Universal and Reliable Interactive CAD using LLMs

The potential of integrating Computer-Assisted Diagnosis (CAD) with Larg...

0 Zihao Zhao, et al. ∙

research

∙ 05/15/2023

Learning Better Contrastive View from Radiologist's Gaze

Recent self-supervised contrastive learning methods greatly benefit from...

0 Sheng Wang, et al. ∙

research

∙ 05/04/2023

Spatial and Modal Optimal Transport for Fast Cross-Modal MRI Reconstruction

Multi-modal Magnetic Resonance Imaging (MRI) plays an important role in ...

0 Qi Wang, et al. ∙

research

∙ 04/20/2023

Domain Generalization for Mammographic Image Analysis via Contrastive Learning

Mammographic image analysis is a fundamental problem in the computer-aid...

0 Zheren Li, et al. ∙

research

∙ 04/03/2023

DoctorGLM: Fine-tuning your Chinese Doctor is not a Herculean Task

The recent progress of large language models (LLMs), including ChatGPT a...

0 Honglin Xiong, et al. ∙

research

∙ 03/26/2023

Geometry-Aware Attenuation Field Learning for Sparse-View CBCT Reconstruction

Cone Beam Computed Tomography (CBCT) is the most widely used imaging met...

0 Zhentao Liu, et al. ∙

research

∙ 03/08/2023

Structure-aware registration network for liver DCE-CT images

Image registration of liver dynamic contrast-enhanced computed tomograph...

0 Peng Xue, et al. ∙

research

∙ 02/14/2023

ChatCAD: Interactive Computer-Aided Diagnosis on Medical Image using Large Language Models

Large language models (LLMs) have recently demonstrated their potential ...

0 Sheng Wang, et al. ∙

research

∙ 01/01/2023

NeuroExplainer: Fine-Grained Attention Decoding to Uncover Cortical Development Patterns of Preterm Infants

Deploying reliable deep learning techniques in interdisciplinary applica...

0 Chenyu Xue, et al. ∙

research

∙ 11/30/2022

SNAF: Sparse-view CBCT Reconstruction with Neural Attenuation Fields

Cone beam computed tomography (CBCT) has been widely used in clinical pr...

0 Yu Fang, et al. ∙

research

∙ 10/22/2022

JoJoNet: Joint-contrast and Joint-sampling-and-reconstruction Network for Multi-contrast MRI

Multi-contrast Magnetic Resonance Imaging (MRI) generates multiple medic...

0 Lin Zhao, et al. ∙

research

∙ 10/17/2022

Forecasting Human Trajectory from Scene History

Predicting the future trajectory of a person remains a challenging probl...

0 Mancheng Meng, et al. ∙

research

∙ 09/26/2022

Joint and Individual Component Regression

Multi-group data are commonly seen in practice. Such data structure cons...

0 Peiyao Wang, et al. ∙

research

∙ 07/19/2022

Image Synthesis with Disentangled Attributes for Chest X-Ray Nodule Augmentation and Detection

Lung nodule detection in chest X-ray (CXR) images is common to early scr...

0 Zhenrong Shen, et al. ∙

research

∙ 07/07/2022

A Novel Unified Conditional Score-based Generative Framework for Multi-modal Medical Image Completion

Multi-modal medical image completion has been extensively applied to all...

11 Xiangxi Meng, et al. ∙

research

∙ 06/25/2022

RandStainNA: Learning Stain-Agnostic Features from Histology Slides by Bridging Stain Augmentation and Normalization

Stain variations often decrease the generalization ability of deep learn...

0 Yiqing Shen, et al. ∙

research

∙ 06/17/2022

Rectify ViT Shortcut Learning by Visual Saliency

Shortcut learning is common but harmful to deep learning models, leading...

12 Chong Ma, et al. ∙

research

∙ 06/14/2022

Learning towards Synchronous Network Memorizability and Generalizability for Continual Segmentation across Multiple Sites

In clinical practice, a segmentation network is often required to contin...

2 Jingyang Zhang, et al. ∙

research

∙ 05/25/2022

Eye-gaze-guided Vision Transformer for Rectifying Shortcut Learning

Learning harmful shortcuts such as spurious correlations and biases prev...

0 Chong Ma, et al. ∙

research

∙ 05/08/2022

Semi-Cycled Generative Adversarial Networks for Real-World Face Super-Resolution

Real-world face super-resolution (SR) is a highly ill-posed image restor...

0 Hao Hou, et al. ∙

research

∙ 04/06/2022

Follow My Eye: Using Gaze to Supervise Computer-Aided Diagnosis

When deep neural network (DNN) was first introduced to the medical image...

54 Sheng Wang, et al. ∙

research

∙ 03/28/2022

A Long Short-term Memory Based Recurrent Neural Network for Interventional MRI Reconstruction

Interventional magnetic resonance imaging (i-MRI) for surgical guidance ...

0 Ruiyang Zhao, et al. ∙

research

∙ 01/12/2022

Knee Cartilage Defect Assessment by Graph Representation and Surface Convolution

Knee osteoarthritis (OA) is the most common osteoarthritis and a leading...

7 Zixu Zhuang, et al. ∙

research

∙ 11/21/2021

Domain Generalization for Mammography Detection via Multi-style and Multi-view Contrastive Learning

Lesion detection is a fundamental problem in the computer-aided diagnosi...

0 Zheren Li, et al. ∙

research

∙ 11/11/2021

Fast T2w/FLAIR MRI Acquisition by Optimal Sampling of Information Complementary to Pre-acquired T1w MRI

Recent studies on T1-assisted MRI reconstruction for under-sampled image...

10 Junwei Yang, et al. ∙

research

∙ 10/09/2021

Learning MRI Artifact Removal With Unpaired Data

Retrospective artifact correction (RAC) improves image quality post acqu...

0 Siyuan Liu, et al. ∙

research

∙ 10/06/2021

A Few-shot Learning Graph Multi-Trajectory Evolution Network for Forecasting Multimodal Baby Connectivity Development from a Baseline Timepoint

Charting the baby connectome evolution trajectory during the first year ...

10 Alaa Bessadok, et al. ∙

research

∙ 09/24/2021

Two-Stage Mesh Deep Learning for Automated Tooth Segmentation and Landmark Localization on 3D Intraoral Scans

Accurately segmenting teeth and identifying the corresponding anatomical...

4 Tai-Hsien Wu, et al. ∙

research

∙ 09/11/2021

A Self-Supervised Deep Framework for Reference Bony Shape Estimation in Orthognathic Surgical Planning

Virtual orthognathic surgical planning involves simulating surgical corr...

6 Deqiang Xiao, et al. ∙

research

∙ 08/12/2021

Multi-Modal MRI Reconstruction with Spatial Alignment Network

In clinical practice, magnetic resonance imaging (MRI) with multiple con...

16 Kai Xuan, et al. ∙

research

∙ 06/29/2021

Two-Stage Self-Supervised Cycle-Consistency Network for Reconstruction of Thin-Slice MR Images

The thick-slice magnetic resonance (MR) images are often structurally bl...

13 Zhiyang Lu, et al. ∙

research

∙ 09/15/2020

Co-evolution of Functional Brain Network at Multiple Scales during Early Infancy

The human brains are organized into hierarchically modular networks faci...

0 Xuyun Wen, et al. ∙

research

∙ 09/06/2020

Deep Modeling of Growth Trajectories for Longitudinal Prediction of Missing Infant Cortical Surfaces

Charting cortical growth trajectories is of paramount importance for und...

5 Peirong Liu, et al. ∙

research

∙ 07/04/2020

Multi-Site Infant Brain Segmentation Algorithms: The iSeg-2019 Challenge

To better understand early brain growth patterns in health and disorder,...

16 Yue Sun, et al. ∙

research

∙ 05/19/2020

An Auto-Context Deformable Registration Network for Infant Brain MRI

Deformable image registration is fundamental to longitudinal and populat...

0 Dongming Wei, et al. ∙

research

∙ 05/07/2020

Joint Prediction and Time Estimation of COVID-19 Developing Severe Symptoms using Chest CT Scan

With the rapidly worldwide spread of Coronavirus disease (COVID-19), it ...

13 Xiaofeng Zhu, et al. ∙

research

∙ 05/07/2020

Hypergraph Learning for Identification of COVID-19 with CT Imaging

The coronavirus disease, named COVID-19, has become the largest global p...

25 Donglin Di, et al. ∙

research

∙ 05/07/2020

Adaptive Feature Selection Guided Deep Forest for COVID-19 Classification with Chest CT

Chest computed tomography (CT) becomes an effective tool to assist the d...

18 Liang Sun, et al. ∙

research

∙ 05/06/2020

Diagnosis of Coronavirus Disease 2019 (COVID-19) with Structured Latent Multi-View Representation Learning

Recently, the outbreak of Coronavirus Disease 2019 (COVID-19) has spread...

16 Hengyuan Kang, et al. ∙

research

∙ 05/06/2020

Dual-Sampling Attention Network for Diagnosis of COVID-19 from Community Acquired Pneumonia

The coronavirus disease (COVID-19) is rapidly spreading all over the wor...

2 Xi Ouyang, et al. ∙

research

∙ 04/06/2020

Review of Artificial Intelligence Techniques in Imaging Data Acquisition, Segmentation and Diagnosis for COVID-19

The pandemic of coronavirus disease 2019 (COVID-19) is spreading all ove...

18 Feng Shi, et al. ∙

research

∙ 03/26/2020

Severity Assessment of Coronavirus Disease 2019 (COVID-19) Using Quantitative Features from Chest CT Images

Background: Chest computed tomography (CT) is recognized as an important...

13 Zhenyu Tang, et al. ∙

research

∙ 03/22/2020

Large-Scale Screening of COVID-19 from Community Acquired Pneumonia using Infection Size-Aware Classification

The worldwide spread of coronavirus disease (COVID-19) has become a thre...

15 Feng Shi, et al. ∙

research

∙ 03/10/2020

Lung Infection Quantification of COVID-19 in CT Images with Deep Learning

CT imaging is crucial for diagnosis, assessment and staging COVID-19 inf...

26 Fei Shan+, et al. ∙

research

∙ 02/25/2020

Multifold Acceleration of Diffusion MRI via Slice-Interleaved Diffusion Encoding (SIDE)

Diffusion MRI (dMRI) is a unique imaging technique for in vivo character...

0 Yoonmi Hong, et al. ∙

research

∙ 10/18/2019

Automatic Data Augmentation by Learning the Deterministic Policy

Aiming to produce sufficient and diverse training samples, data augmenta...

53 Yinghuan Shi, et al. ∙

research

∙ 08/17/2019

Multi-Kernel Filtering: An Extension of Bilateral Filtering Using Image Context

Bilateral filtering is one of the most classical denoising filters. Howe...

14 Feihong Liu, et al. ∙

Dinggang Shen

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