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07/14/2023
Knowledge Boosting: Rethinking Medical Contrastive Vision-Language Pre-Training
The foundation models based on pre-training technology have significantl...
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07/10/2023
Partial Vessels Annotation-based Coronary Artery Segmentation with Self-training and Prototype Learning
Coronary artery segmentation on coronary-computed tomography angiography...
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03/02/2023
Geometric Visual Similarity Learning in 3D Medical Image Self-supervised Pre-training
Learning inter-image similarity is crucial for 3D medical images self-su...
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10/13/2022
Rebalanced Zero-shot Learning
Zero-shot learning (ZSL) aims to identify unseen classes with zero sampl...
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07/04/2022
FFCNet: Fourier Transform-Based Frequency Learning and Complex Convolutional Network for Colon Disease Classification
Reliable automatic classification of colonoscopy images is of great sign...
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06/16/2022
Dual Contrastive Attributed Graph Clustering Network
Attributed graph clustering is one of the most important tasks in graph ...
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06/15/2022
XMorpher: Full Transformer for Deformable Medical Image Registration via Cross Attention
An effective backbone network is important to deep learning-based Deform...
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05/10/2022
MNet: Rethinking 2D/3D Networks for Anisotropic Medical Image Segmentation
The nature of thick-slice scanning causes severe inter-slice discontinui...
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10/30/2021
Speech Denoising Using Only Single Noisy Audio Samples
In this paper, we propose a novel Single Noisy Audio De-noising Framewor...
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08/15/2021
CPNet: Cycle Prototype Network for Weakly-supervised 3D Renal Compartments Segmentation on CT Images
Renal compartment segmentation on CT images targets on extracting the 3D...
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06/08/2021
EnMcGAN: Adversarial Ensemble Learning for 3D Complete Renal Structures Segmentation
3D complete renal structures(CRS) segmentation targets on segmenting the...
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08/03/2020
Deep Complementary Joint Model for Complex Scene Registration and Few-shot Segmentation on Medical Images
Deep learning-based medical image registration and segmentation joint mo...
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07/28/2020
Generative networks as inverse problems with fractional wavelet scattering networks
Deep learning is a hot research topic in the field of machine learning m...
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07/21/2020
SLNSpeech: solving extended speech separation problem by the help of sign language
A speech separation task can be roughly divided into audio-only separati...
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02/21/2019
