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05/10/2023
Embedded Feature Similarity Optimization with Specific Parameter Initialization for 2D/3D Registration
We present a novel deep learning-based framework: Embedded Feature Simil...
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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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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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03/20/2019
Deep Octonion Networks
Deep learning is a research hot topic in the field of machine learning. ...
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03/06/2019
Compressing complex convolutional neural network based on an improved deep compression algorithm
Although convolutional neural network (CNN) has made great progress, lar...
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02/27/2019
Fractional spectral graph wavelets and their applications
One of the key challenges in the area of signal processing on graphs is ...
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02/27/2019
Modulated binary cliquenet
Although Convolutional Neural Networks (CNNs) achieve effectiveness in v...
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02/22/2017
MomentsNet: a simple learning-free method for binary image recognition
In this paper, we propose a new simple and learning-free deep learning n...
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03/03/2016