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08/31/2023
Improving Multiple Sclerosis Lesion Segmentation Across Clinical Sites: A Federated Learning Approach with Noise-Resilient Training
Accurately measuring the evolution of Multiple Sclerosis (MS) with magne...
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08/18/2023
V2A-Mapper: A Lightweight Solution for Vision-to-Audio Generation by Connecting Foundation Models
Building artificial intelligence (AI) systems on top of a set of foundat...
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07/27/2023
Exploring Annotation-free Image Captioning with Retrieval-augmented Pseudo Sentence Generation
Training an image captioner without annotated image-sentence pairs has g...
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07/27/2023
Taxonomy Adaptive Cross-Domain Adaptation in Medical Imaging via Optimization Trajectory Distillation
The success of automated medical image analysis depends on large-scale a...
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07/18/2023
TractCloud: Registration-free tractography parcellation with a novel local-global streamline point cloud representation
Diffusion MRI tractography parcellation classifies streamlines into anat...
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06/12/2023
Topology Repairing of Disconnected Pulmonary Airways and Vessels: Baselines and a Dataset
Accurate segmentation of pulmonary airways and vessels is crucial for th...
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05/07/2023
SynthMix: Mixing up Aligned Synthesis for Medical Cross-Modality Domain Adaptation
The adversarial methods showed advanced performance by producing synthet...
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05/04/2023
Unsupervised Domain Adaptation for Neuron Membrane Segmentation based on Structural Features
AI-enhanced segmentation of neuronal boundaries in electron microscopy (...
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03/20/2023
LFACon: Introducing Anglewise Attention to No-Reference Quality Assessment in Light Field Space
Light field imaging can capture both the intensity information and the d...
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03/16/2023
Fiber Tract Shape Measures Inform Prediction of Non-Imaging Phenotypes
Neuroimaging measures of the brain's white matter connections can enable...
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02/06/2023
PaRot: Patch-Wise Rotation-Invariant Network via Feature Disentanglement and Pose Restoration
Recent interest in point cloud analysis has led rapid progress in design...
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12/31/2022
Rethinking Rotation Invariance with Point Cloud Registration
Recent investigations on rotation invariance for 3D point clouds have be...
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10/31/2022
TW-BAG: Tensor-wise Brain-aware Gate Network for Inpainting Disrupted Diffusion Tensor Imaging
Diffusion Weighted Imaging (DWI) is an advanced imaging technique common...
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10/15/2022
PointNeuron: 3D Neuron Reconstruction via Geometry and Topology Learning of Point Clouds
Digital neuron reconstruction from 3D microscopy images is an essential ...
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10/13/2022
A Novel Supervised Contrastive Regression Framework for Prediction of Neurocognitive Measures Using Multi-Site Harmonized Diffusion MRI Tractography
Neuroimaging-based prediction of neurocognitive measures is valuable for...
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10/10/2022
Unsupervised Domain Adaptive Fundus Image Segmentation with Few Labeled Source Data
Deep learning-based segmentation methods have been widely employed for a...
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07/05/2022
TractoFormer: A Novel Fiber-level Whole Brain Tractography Analysis Framework Using Spectral Embedding and Vision Transformers
Diffusion MRI tractography is an advanced imaging technique for quantita...
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07/04/2022
Domain Adaptive Nuclei Instance Segmentation and Classification via Category-aware Feature Alignment and Pseudo-labelling
Unsupervised domain adaptation (UDA) methods have been broadly utilized ...
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06/01/2022
Towards Generalisable Audio Representations for Audio-Visual Navigation
In audio-visual navigation (AVN), an intelligent agent needs to navigate...
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05/03/2022
MS Lesion Segmentation: Revisiting Weighting Mechanisms for Federated Learning
Federated learning (FL) has been widely employed for medical image analy...
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04/22/2022
Spatiality-guided Transformer for 3D Dense Captioning on Point Clouds
Dense captioning in 3D point clouds is an emerging vision-and-language t...
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02/10/2022
HNF-Netv2 for Brain Tumor Segmentation using multi-modal MR Imaging
In our previous work, i.e., HNF-Net, high-resolution feature representat...
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11/26/2021
In-painting Radiography Images for Unsupervised Anomaly Detection
We propose space-aware memory queues for in-painting and detecting anoma...
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08/09/2021
PSGR: Pixel-wise Sparse Graph Reasoning for COVID-19 Pneumonia Segmentation in CT Images
Automated and accurate segmentation of the infected regions in computed ...
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08/09/2021
Boundary-aware Graph Reasoning for Semantic Segmentation
In this paper, we propose a Boundary-aware Graph Reasoning (BGR) module ...
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12/30/2020
H2NF-Net for Brain Tumor Segmentation using Multimodal MR Imaging: 2nd Place Solution to BraTS Challenge 2020 Segmentation Task
In this paper, we propose a Hybrid High-resolution and Non-local Feature...
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05/09/2020
ICE-GAN: Identity-aware and Capsule-Enhanced GAN for Micro-Expression Recognition and Synthesis
Micro-expressions can reflect peoples true feelings and motives, which a...
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05/05/2020
Unsupervised Instance Segmentation in Microscopy Images via Panoptic Domain Adaptation and Task Re-weighting
Unsupervised domain adaptation (UDA) for nuclei instance segmentation is...
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04/20/2020
Shape-Oriented Convolution Neural Network for Point Cloud Analysis
Point cloud is a principal data structure adopted for 3D geometric infor...
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03/18/2020
Graph Attention Network based Pruning for Reconstructing 3D Liver Vessel Morphology from Contrasted CT Images
With the injection of contrast material into blood vessels, multi-phase ...
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02/15/2020
Cell R-CNN V3: A Novel Panoptic Paradigm for Instance Segmentation in Biomedical Images
Instance segmentation is an important task for biomedical image analysis...
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12/14/2019
Region and Object based Panoptic Image Synthesis through Conditional GANs
Image-to-image translation is significant to many computer vision and ma...
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07/18/2018
3D Global Convolutional Adversarial Network for Prostate MR Volume Segmentation
Advanced deep learning methods have been developed to conduct prostate M...
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11/23/2017