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08/20/2023
Federated Pseudo Modality Generation for Incomplete Multi-Modal MRI Reconstruction
While multi-modal learning has been widely used for MRI reconstruction, ...
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07/20/2023
BoxDiff: Text-to-Image Synthesis with Training-Free Box-Constrained Diffusion
Recent text-to-image diffusion models have demonstrated an astonishing c...
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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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06/05/2023
Cross-Modal Vertical Federated Learning for MRI Reconstruction
Federated learning enables multiple hospitals to cooperatively learn a s...
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05/23/2023
VisorGPT: Learning Visual Prior via Generative Pre-Training
Various stuff and things in visual data possess specific traits, which c...
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04/17/2023
Open-World Weakly-Supervised Object Localization
While remarkable success has been achieved in weakly-supervised object l...
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02/28/2023
Interactive Segmentation as Gaussian Process Classification
Click-based interactive segmentation (IS) aims to extract the target obj...
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01/03/2023
A New Perspective to Boost Vision Transformer for Medical Image Classification
Transformer has achieved impressive successes for various computer visio...
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12/26/2022
Orientation-Shared Convolution Representation for CT Metal Artifact Learning
During X-ray computed tomography (CT) scanning, metallic implants carryi...
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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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05/16/2022
Adaptive Convolutional Dictionary Network for CT Metal Artifact Reduction
Inspired by the great success of deep neural networks, learning-based me...
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05/16/2022
Robust Representation via Dynamic Feature Aggregation
Deep convolutional neural network (CNN) based models are vulnerable to t...
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03/12/2022
DFTR: Depth-supervised Hierarchical Feature Fusion Transformer for Salient Object Detection
Automated salient object detection (SOD) plays an increasingly crucial r...
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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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02/16/2022
Label Propagation for Annotation-Efficient Nuclei Segmentation from Pathology Images
Nuclei segmentation is a crucial task for whole slide image analysis in ...
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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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12/23/2021
InDuDoNet+: A Model-Driven Interpretable Dual Domain Network for Metal Artifact Reduction in CT Images
During the computed tomography (CT) imaging process, metallic implants w...
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06/30/2021
Mutual-GAN: Towards Unsupervised Cross-Weather Adaptation with Mutual Information Constraint
Convolutional neural network (CNN) have proven its success for semantic ...
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06/27/2021
Residual Moment Loss for Medical Image Segmentation
Location information is proven to benefit the deep learning models on ca...
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12/14/2020
Aggregative Self-Supervised Feature Learning
Self-supervised learning (SSL) is an efficient approach that addresses t...
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07/22/2020
Instance-aware Self-supervised Learning for Nuclei Segmentation
Due to the wide existence and large morphological variances of nuclei, a...
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07/22/2020
MI^2GAN: Generative Adversarial Network for Medical Image Domain Adaptation using Mutual Information Constraint
Domain shift between medical images from multicentres is still an open q...
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07/20/2020
Self-Loop Uncertainty: A Novel Pseudo-Label for Semi-Supervised Medical Image Segmentation
Witnessing the success of deep learning neural networks in natural image...
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07/17/2020
Revisiting Rubik's Cube: Self-supervised Learning with Volume-wise Transformation for 3D Medical Image Segmentation
Deep learning highly relies on the quantity of annotated data. However, ...
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06/10/2020
Embedding Task Knowledge into 3D Neural Networks via Self-supervised Learning
Deep learning highly relies on the amount of annotated data. However, an...
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05/05/2020
AGE Challenge: Angle Closure Glaucoma Evaluation in Anterior Segment Optical Coherence Tomography
Angle closure glaucoma (ACG) is a more aggressive disease than open-angl...
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04/17/2020
Generative Adversarial Networks for Video-to-Video Domain Adaptation
Endoscopic videos from multicentres often have different imaging conditi...
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10/05/2019
Self-supervised Feature Learning for 3D Medical Images by Playing a Rubik's Cube
Witnessed the development of deep learning, increasing number of studies...
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06/05/2019
OctopusNet: A Deep Learning Segmentation Network for Multi-modal Medical Images
Deep learning models, such as the fully convolutional network (FCN), hav...
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07/06/2018
Reversed Active Learning based Atrous DenseNet for Pathological Image Classification
Witnessed the development of deep learning in recent years, increasing n...
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04/18/2018
Active Learning for Breast Cancer Identification
Breast cancer is the second most common malignancy among women and has b...
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03/02/2017