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08/03/2023
A Global Transport Capacity Risk Prediction Method for Rail Transit Based on Gaussian Bayesian Network
Aiming at the prediction problem of transport capacity risk caused by th...
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07/25/2023
Gait Cycle-Inspired Learning Strategy for Continuous Prediction of Knee Joint Trajectory from sEMG
Predicting lower limb motion intent is vital for controlling exoskeleton...
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07/18/2023
You've Got Two Teachers: Co-evolutionary Image and Report Distillation for Semi-supervised Anatomical Abnormality Detection in Chest X-ray
Chest X-ray (CXR) anatomical abnormality detection aims at localizing an...
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06/25/2023
MEPNet: A Model-Driven Equivariant Proximal Network for Joint Sparse-View Reconstruction and Metal Artifact Reduction in CT Images
Sparse-view computed tomography (CT) has been adopted as an important te...
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05/23/2023
Understanding Text-driven Motion Synthesis with Keyframe Collaboration via Diffusion Models
The emergence of text-driven motion synthesis technique provides animato...
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04/10/2023
DeFeeNet: Consecutive 3D Human Motion Prediction with Deviation Feedback
Let us rethink the real-world scenarios that require human motion predic...
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03/09/2023
M3AE: Multimodal Representation Learning for Brain Tumor Segmentation with Missing Modalities
Multimodal magnetic resonance imaging (MRI) provides complementary infor...
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03/01/2023
RECIST Weakly Supervised Lesion Segmentation via Label-Space Co-Training
As an essential indicator for cancer progression and treatment response,...
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01/18/2023
MADAv2: Advanced Multi-Anchor Based Active Domain Adaptation Segmentation
Unsupervised domain adaption has been widely adopted in tasks with scarc...
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11/16/2022
Lesion Guided Explainable Few Weak-shot Medical Report Generation
Medical images are widely used in clinical practice for diagnosis. Autom...
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10/12/2022
Human Joint Kinematics Diffusion-Refinement for Stochastic Motion Prediction
Stochastic human motion prediction aims to forecast multiple plausible f...
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09/05/2022
A Benchmark for Weakly Semi-Supervised Abnormality Localization in Chest X-Rays
Accurate abnormality localization in chest X-rays (CXR) can benefit the ...
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07/18/2022
Dense Cross-Query-and-Support Attention Weighted Mask Aggregation for Few-Shot Segmentation
Research into Few-shot Semantic Segmentation (FSS) has attracted great a...
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07/07/2022
Deformer: Towards Displacement Field Learning for Unsupervised Medical Image Registration
Recently, deep-learning-based approaches have been widely studied for de...
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05/21/2022
Myocardial Segmentation of Late Gadolinium Enhanced MR Images by Propagation of Contours from Cine MR Images
Automatic segmentation of myocardium in Late Gadolinium Enhanced (LGE) C...
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05/21/2022
A Comprehensive 3-D Framework for Automatic Quantification of Late Gadolinium Enhanced Cardiac Magnetic Resonance Images
Late gadolinium enhanced (LGE) cardiac magnetic resonance (CMR) can dire...
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05/21/2022
Three-Dimensional Segmentation of the Left Ventricle in Late Gadolinium Enhanced MR Images of Chronic Infarction Combining Long- and Short-Axis Information
Automatic segmentation of the left ventricle (LV) in late gadolinium enh...
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04/23/2022
Learning Shape Priors by Pairwise Comparison for Robust Semantic Segmentation
Semantic segmentation is important in medical image analysis. Inspired b...
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03/19/2022
Domain Adaptation Meets Zero-Shot Learning: An Annotation-Efficient Approach to Multi-Modality Medical Image Segmentation
Due to the lack of properly annotated medical data, exploring the genera...
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03/10/2022
Deep Convolutional Neural Networks for Molecular Subtyping of Gliomas Using Magnetic Resonance Imaging
Knowledge of molecular subtypes of gliomas can provide valuable informat...
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03/07/2022
Conquering Data Variations in Resolution: A Slice-Aware Multi-Branch Decoder Network
Fully convolutional neural networks have made promising progress in join...
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03/04/2022
Simultaneous Alignment and Surface Regression Using Hybrid 2D-3D Networks for 3D Coherent Layer Segmentation of Retina OCT Images
Automated surface segmentation of retinal layer is important and challen...
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12/31/2021
Revisiting Experience Replay: Continual Learning by Adaptively Tuning Task-wise Relationship
Continual learning requires models to learn new tasks while maintaining ...
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10/09/2021
Unsupervised Representation Learning Meets Pseudo-Label Supervised Self-Distillation: A New Approach to Rare Disease Classification
Rare diseases are characterized by low prevalence and are often chronica...
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09/24/2021
Training Automatic View Planner for Cardiac MR Imaging via Self-Supervision by Spatial Relationship between Views
View planning for the acquisition of cardiac magnetic resonance imaging ...
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08/24/2021
ARShoe: Real-Time Augmented Reality Shoe Try-on System on Smartphones
Virtual try-on technology enables users to try various fashion items usi...
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08/18/2021
Multi-Anchor Active Domain Adaptation for Semantic Segmentation
Unsupervised domain adaption has proven to be an effective approach for ...
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08/18/2021
A New Bidirectional Unsupervised Domain Adaptation Segmentation Framework
Domain shift happens in cross-domain scenarios commonly because of the w...
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07/19/2021
RECIST-Net: Lesion detection via grouping keypoints on RECIST-based annotation
Universal lesion detection in computed tomography (CT) images is an impo...
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03/30/2021
Generalized Organ Segmentation by Imitating One-shot Reasoning using Anatomical Correlation
Learning by imitation is one of the most significant abilities of human ...
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02/14/2021
FastHand: Fast Hand Pose Estimation From A Monocular Camera
Hand gesture recognition constitutes the initial step in most methods re...
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11/28/2020
Simultaneous recovery of surface heat flux and thickness of a solid structure by ultrasonic measurements
This paper is concerned with a practical inverse problem of simultaneous...
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07/17/2020
Superpixel-Guided Label Softening for Medical Image Segmentation
Segmentation of objects of interest is one of the central tasks in medic...
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07/13/2020
Learning and Exploiting Interclass Visual Correlations for Medical Image Classification
Deep neural network-based medical image classifications often use "hard"...
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03/16/2020
LT-Net: Label Transfer by Learning Reversible Voxel-wise Correspondence for One-shot Medical Image Segmentation
We introduce a one-shot segmentation method to alleviate the burden of m...
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03/15/2020
