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...
share
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...
research
∙
07/24/2023
Multi-View Vertebra Localization and Identification from CT Images
Accurately localizing and identifying vertebrae from CT images is crucia...
research
∙
05/25/2023
ChatCAD+: Towards a Universal and Reliable Interactive CAD using LLMs
The potential of integrating Computer-Assisted Diagnosis (CAD) with Larg...
research
∙
05/15/2023
Learning Better Contrastive View from Radiologist's Gaze
Recent self-supervised contrastive learning methods greatly benefit from...
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 ...
research
∙
04/20/2023
Domain Generalization for Mammographic Image Analysis via Contrastive Learning
Mammographic image analysis is a fundamental problem in the computer-aid...
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...
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...
research
∙
03/08/2023
Structure-aware registration network for liver DCE-CT images
Image registration of liver dynamic contrast-enhanced computed tomograph...
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 ...
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...
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...
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...
research
∙
10/17/2022
Forecasting Human Trajectory from Scene History
Predicting the future trajectory of a person remains a challenging probl...
research
∙
09/26/2022
Joint and Individual Component Regression
Multi-group data are commonly seen in practice. Such data structure cons...
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...
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...
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...
research
∙
06/17/2022
Rectify ViT Shortcut Learning by Visual Saliency
Shortcut learning is common but harmful to deep learning models, leading...
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...
research
∙
05/25/2022
Eye-gaze-guided Vision Transformer for Rectifying Shortcut Learning
Learning harmful shortcuts such as spurious correlations and biases prev...
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...
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...
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 ...
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...
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...
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...
research
∙
10/09/2021
Learning MRI Artifact Removal With Unpaired Data
Retrospective artifact correction (RAC) improves image quality post acqu...
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 ...
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...
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...
research
∙
08/12/2021
Multi-Modal MRI Reconstruction with Spatial Alignment Network
In clinical practice, magnetic resonance imaging (MRI) with multiple con...
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...
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...
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...
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,...
research
∙
05/19/2020
An Auto-Context Deformable Registration Network for Infant Brain MRI
Deformable image registration is fundamental to longitudinal and populat...
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 ...
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...
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...
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...
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...
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...
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...
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...
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...
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...
research
∙
10/18/2019
Automatic Data Augmentation by Learning the Deterministic Policy
Aiming to produce sufficient and diverse training samples, data augmenta...
research
∙
08/17/2019