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DeepPseudo: Deep Pseudo-code Generation via Transformer and Code Feature Extraction
Pseudo-code written by natural language is helpful for novice developers...
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Unbox the Black-box for the Medical Explainable AI via Multi-modal and Multi-centre Data Fusion: A Mini-Review, Two Showcases and Beyond
Explainable Artificial Intelligence (XAI) is an emerging research topic ...
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Automated Multi-Channel Segmentation for the 4D Myocardial Velocity Mapping Cardiac MR
Four-dimensional (4D) left ventricular myocardial velocity mapping (MVM)...
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Decentralized Custody Scheme with Game-Theoretic Security
Custody is a core financial service in which the custodian holds in safe...
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Annealing Genetic GAN for Minority Oversampling
The key to overcome class imbalance problems is to capture the distribut...
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Deep Attentive Wasserstein Generative Adversarial Networks for MRI Reconstruction with Recurrent Context-Awareness
The performance of traditional compressive sensing-based MRI (CS-MRI) re...
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GHAST: Breaking Confirmation Delay Barrier in Nakamoto Consensus via Adaptive Weighted Blocks
Initiated from Nakamoto's Bitcoin system, blockchain technology has demo...
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Gleason Score Prediction using Deep Learning in Tissue Microarray Image
Prostate cancer (PCa) is one of the most common cancers in men around th...
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Weakly Supervised Deep Learning for COVID-19 Infection Detection and Classification from CT Images
An outbreak of a novel coronavirus disease (i.e., COVID-19) has been rec...
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Simultaneous Left Atrium Anatomy and Scar Segmentations via Deep Learning in Multiview Information with Attention
Three-dimensional late gadolinium enhanced (LGE) cardiac MR (CMR) of lef...
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A Collaborative Learning Framework via Federated Meta-Learning
Many IoT applications at the network edge demand intelligent decisions i...
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Haptic Teleoperation of UAVs through Control Barrier Functions
This paper presents a novel approach to haptic teleoperation. Specifical...
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Automatic Prostate Zonal Segmentation Using Fully Convolutional Network with Feature Pyramid Attention
Our main objective is to develop a novel deep learning-based algorithm f...
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Distributed and Consistent Multi-Image Feature Matching via QuickMatch
In this work we consider the multi-image object matching problem, extend...
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MRI Brain Tumor Segmentation using Random Forests and Fully Convolutional Networks
In this paper, we propose a novel learning based method for automated se...
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Recurrent Aggregation Learning for Multi-View Echocardiographic Sequences Segmentation
Multi-view echocardiographic sequences segmentation is crucial for clini...
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Discriminative Consistent Domain Generation for Semi-supervised Learning
Deep learning based task systems normally rely on a large amount of manu...
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Direct Quantification for Coronary Artery Stenosis Using Multiview Learning
The quantification of the coronary artery stenosis is of significant cli...
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Sampling-based Motion Planning via Control Barrier Functions
Robot motion planning is central to real-world autonomous applications, ...
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Querying a Matrix through Matrix-Vector Products
We consider algorithms with access to an unknown matrix M∈F^n × d via ma...
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Separating k-Player from t-Player One-Way Communication, with Applications to Data Streams
In a k-party communication problem, the k players with inputs x_1, x_2, ...
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Evaluation of Algorithms for Multi-Modality Whole Heart Segmentation: An Open-Access Grand Challenge
Knowledge of whole heart anatomy is a prerequisite for many clinical app...
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Atrial Scar Quantification via Multi-scale CNN in the Graph-cuts Framework
Late gadolinium enhancement magnetic resonance imaging (LGE MRI) appears...
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Empowering Elasticsearch with Exact and Fast r-Neighbor Search in Hamming Space
A growing interest has been witnessed recently in building nearest neigh...
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How Can We Make GAN Perform Better in Single Medical Image Super-Resolution? A Lesion Focused Multi-Scale Approach
Single image super-resolution (SISR) is of great importance as a low-lev...
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Atrial scars segmentation via potential learning in the graph-cuts framework
Late Gadolinium Enhancement Magnetic Resonance Imaging (LGE MRI) emerged...
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Atrial fibrosis quantification based on maximum likelihood estimator of multivariate images
We present a fully-automated segmentation and quantification of the left...
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Lesion Focused Super-Resolution
Super-resolution (SR) for image enhancement has great importance in medi...
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Sharing Information with Competitors
We study the mechanism design problem in the setting where agents are re...
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A Machine Learning Approach to Shipping Box Design
Having the right assortment of shipping boxes in the fulfillment warehou...
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Generating Magnetic Resonance Spectroscopy Imaging Data of Brain Tumours from Linear, Non-Linear and Deep Learning Models
Magnetic Resonance Spectroscopy (MRS) provides valuable information to h...
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Adversarial and Perceptual Refinement for Compressed Sensing MRI Reconstruction
Deep learning approaches have shown promising performance for compressed...
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Towards Practical Visual Search Engine within Elasticsearch
In this paper, we describe our end-to-end content-based image retrieval ...
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Multiview Two-Task Recursive Attention Model for Left Atrium and Atrial Scars Segmentation
Late Gadolinium Enhanced Cardiac MRI (LGE-CMRI) for detecting atrial sca...
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Stochastic Deep Compressive Sensing for the Reconstruction of Diffusion Tensor Cardiac MRI
Understanding the structure of the heart at the microscopic scale of car...
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A two-stage 3D Unet framework for multi-class segmentation on full resolution image
Deep convolutional neural networks (CNNs) have been intensively used for...
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Revisiting Skip-Gram Negative Sampling Model with Regularization
We revisit skip-gram negative sampling (SGNS), a popular neural-network ...
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A Telecom Perspective on the Internet of Drones: From LTE-Advanced to 5G
Drones are driving numerous and evolving use cases, and creating transfo...
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Low-Latency Heterogeneous Networks with Millimeter-Wave Communications
Heterogeneous network (HetNet) is a key enabler to largely boost network...
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Exact quantum query complexity of weight decision problems
The weight decision problem, which requires to determine the Hamming wei...
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Traffic Allocation for Low-Latency Multi-Hop Millimeter-Wave Networks with Buffers
For millimeter-wave (mm-wave) buffer-aided tandem networks consisting of...
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Performance Analysis of Millimeter-Wave Relaying: Impacts of Beamwidth and Self-Interference
We study the maximum achievable rate of a two-hop amplified-and-forward ...
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Fully Automatic Segmentation and Objective Assessment of Atrial Scars for Longstanding Persistent Atrial Fibrillation Patients Using Late Gadolinium-Enhanced MRI
Purpose: Atrial fibrillation (AF) is the most common cardiac arrhythmia ...
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Deep De-Aliasing for Fast Compressive Sensing MRI
Fast Magnetic Resonance Imaging (MRI) is highly in demand for many clini...
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Automatic Brain Tumor Detection and Segmentation Using U-Net Based Fully Convolutional Networks
A major challenge in brain tumor treatment planning and quantitative eva...
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Deep Poincare Map For Robust Medical Image Segmentation
Precise segmentation is a prerequisite for an accurate quantification of...
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Analysis on 60 GHz Wireless Communications with Beamwidth-Dependent Misalignment
High speed wireless access on 60 GHz spectrum relies on high-gain direct...
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Neural Networks Designing Neural Networks: Multi-Objective Hyper-Parameter Optimization
Artificial neural networks have gone through a recent rise in popularity...
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Delay and Backlog Analysis for 60 GHz Wireless Networks
To meet the ever-increasing demands on higher throughput and better netw...
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Numerical Methods for Coupled Reconstruction and Registration in Digital Breast Tomosynthesis
Digital Breast Tomosynthesis (DBT) provides an insight into the fine det...
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