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09/12/2023
Enhancing Representation in Radiography-Reports Foundation Model: A Granular Alignment Algorithm Using Masked Contrastive Learning
Recently, multi-modal vision-language foundation models have gained sign...
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08/21/2023
Deep Learning of Delay-Compensated Backstepping for Reaction-Diffusion PDEs
Deep neural networks that approximate nonlinear function-to-function map...
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04/26/2023
Optimizing Energy Efficiency in Metro Systems Under Uncertainty Disturbances Using Reinforcement Learning
In the realm of urban transportation, metro systems serve as crucial and...
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04/12/2023
Few-shot Class-incremental Learning for Cross-domain Disease Classification
The ability to incrementally learn new classes from limited samples is c...
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02/28/2023
Transitions between quasi-stationary states in traffic systems: Cologne orbital motorways as an example
Traffic systems can operate in different modes. In a previous work, we i...
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02/07/2023
Joint Metrics for EMF Exposure and Coverage in Real-World Homogeneous and Inhomogeneous Cellular Networks
This paper evaluates the downlink performance of cellular networks in te...
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11/27/2022
Devils in the Clouds: An Evolutionary Study of Telnet Bot Loaders
One of the innovations brought by Mirai and its derived malware is the a...
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11/26/2022
Meta Architecure for Point Cloud Analysis
Recent advances in 3D point cloud analysis bring a diverse set of networ...
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11/24/2022
Iterative Data Refinement for Self-Supervised MR Image Reconstruction
Magnetic Resonance Imaging (MRI) has become an important technique in th...
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11/16/2022
Semi-Supervised and Self-Supervised Collaborative Learning for Prostate 3D MR Image Segmentation
Volumetric magnetic resonance (MR) image segmentation plays an important...
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11/16/2022
Uncertainty-Aware Multi-Parametric Magnetic Resonance Image Information Fusion for 3D Object Segmentation
Multi-parametric magnetic resonance (MR) imaging is an indispensable too...
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11/15/2022
DIGEST: Deeply supervIsed knowledGE tranSfer neTwork learning for brain tumor segmentation with incomplete multi-modal MRI scans
Brain tumor segmentation based on multi-modal magnetic resonance imaging...
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11/15/2022
Adaptive PromptNet For Auxiliary Glioma Diagnosis without Contrast-Enhanced MRI
Multi-contrast magnetic resonance imaging (MRI)-based automatic auxiliar...
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11/10/2022
Self-supervised learning of audio representations using angular contrastive loss
In Self-Supervised Learning (SSL), various pretext tasks are designed fo...
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10/15/2022
Self-supervised Graph Learning for Long-tailed Cognitive Diagnosis
Cognitive diagnosis is a fundamental yet critical research task in the f...
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09/05/2022
Online Updating Huber Robust Regression for Big Data Streams
Big data has grasped great attention in different fields over recent yea...
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08/08/2022
SelfCoLearn: Self-supervised collaborative learning for accelerating dynamic MR imaging
Lately, deep learning has been extensively investigated for accelerating...
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06/02/2022
Self-supervised Learning of Audio Representations from Audio-Visual Data using Spatial Alignment
Learning from audio-visual data offers many possibilities to express cor...
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06/01/2022
Mining Function Homology of Bot Loaders from Honeypot Logs
Self-contained loaders are widely adopted in botnets for injecting loadi...
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04/06/2022
Paying More Attention to Self-attention: Improving Pre-trained Language Models via Attention Guiding
Pre-trained language models (PLM) have demonstrated their effectiveness ...
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04/05/2022
Multi-Weight Respecification of Scan-specific Learning for Parallel Imaging
Parallel imaging is widely used in magnetic resonance imaging as an acce...
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03/21/2022
K-space and Image Domain Collaborative Energy based Model for Parallel MRI Reconstruction
Decreasing magnetic resonance (MR) image acquisition times can potential...
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03/18/2022
Rethinking the optimization process for self-supervised model-driven MRI reconstruction
Recovering high-quality images from undersampled measurements is critica...
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02/19/2022
BP-Triplet Net for Unsupervised Domain Adaptation: A Bayesian Perspective
Triplet loss, one of the deep metric learning (DML) methods, is to learn...
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02/15/2022
Identifying strongly correlated groups of sections in a large motorway network
In a motorway network, correlations between the different links, i.e. be...
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02/03/2022
PARCEL: Physics-based unsupervised contrastive representation learning for parallel MR imaging
With the successful application of deep learning in magnetic resonance i...
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01/25/2022
Universal Generative Modeling for Calibration-free Parallel Mr Imaging
The integration of compressed sensing and parallel imaging (CS-PI) provi...
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01/19/2022
Variable Augmented Network for Invertible MR Coil Compression
A large number of coils are able to provide enhanced signal-to-noise rat...
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01/08/2022
Expert Knowledge-guided Geometric Representation Learning for Magnetic Resonance Imaging-based Glioma Grading
Radiomics and deep learning have shown high popularity in automatic glio...
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12/14/2021
An algorithm with improved delay for enumerating connected induced subgraphs of a large cardinality
Enumerating all connected induced subgraphs of a given order k is a comp...
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12/14/2021
Algorithms for enumerating connected induced subgraphs of a given order
Enumerating all connected subgraphs of a given order from graphs is a co...
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09/26/2021
A Novel Hybrid Convolutional Neural Network for Accurate Organ Segmentation in 3D Head and Neck CT Images
Radiation therapy (RT) is widely employed in the clinic for the treatmen...
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09/26/2021
Group Shift Pointwise Convolution for Volumetric Medical Image Segmentation
Recent studies have witnessed the effectiveness of 3D convolutions on se...
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09/26/2021
Self-Supervised Learning for MRI Reconstruction with a Parallel Network Training Framework
Image reconstruction from undersampled k-space data plays an important r...
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09/07/2021
MRI Reconstruction Using Deep Energy-Based Model
Purpose: Although recent deep energy-based generative models (EBMs) have...
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06/29/2021
Few-Shot Electronic Health Record Coding through Graph Contrastive Learning
Electronic health record (EHR) coding is the task of assigning ICD codes...
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06/22/2021
Deep neural network Based Low-latency Speech Separation with Asymmetric analysis-Synthesis Window Pair
Time-frequency masking or spectrum prediction computed via short symmetr...
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05/28/2021
Audio-visual scene classification: analysis of DCASE 2021 Challenge submissions
This paper presents the details of the Audio-Visual Scene Classification...
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03/31/2021
Forecasting open-high-low-close data contained in candlestick chart
Forecasting the (open-high-low-close)OHLC data contained in candlestick ...
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03/31/2021
Dimension reduction of open-high-low-close data in candlestick chart based on pseudo-PCA
The (open-high-low-close) OHLC data is the most common data form in the ...
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12/09/2020
AIDE: Annotation-efficient deep learning for automatic medical image segmentation
Accurate image segmentation is crucial for medical imaging applications....
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11/27/2020
Multi-task MR Imaging with Iterative Teacher Forcing and Re-weighted Deep Learning
Noises, artifacts, and loss of information caused by the magnetic resona...
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08/14/2020
Homotopic Gradients of Generative Density Priors for MR Image Reconstruction
Deep learning, particularly the generative model, has demonstrated treme...
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08/05/2020
A coarse-to-fine framework for unsupervised multi-contrast MR image deformable registration with dual consistency constraint
Multi-contrast magnetic resonance (MR) image registration is essential i...
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05/30/2020
Self-adaptive Re-weighted Adversarial Domain Adaptation
Existing adversarial domain adaptation methods mainly consider the margi...
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10/13/2019
Parameter Constrained Transfer Learning for Low Dose PET Image Denoising
Positron emission tomography (PET) is widely used in clinical practice. ...
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09/24/2019
IFR-Net: Iterative Feature Refinement Network for Compressed Sensing MRI
To improve the compressive sensing MRI (CS-MRI) approaches in terms of f...
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08/24/2019
LANTERN: learn analysis transform network for dynamic magnetic resonance imaging with small dataset
This paper proposes to learn analysis transform network for dynamic magn...
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08/14/2019
D-UNet: a dimension-fusion U shape network for chronic stroke lesion segmentation
Assessing the location and extent of lesions caused by chronic stroke is...
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08/06/2019
