b'Guang Yang'

research

∙ 08/11/2022

Region-Based Evidential Deep Learning to Quantify Uncertainty and Improve Robustness of Brain Tumor Segmentation

Despite recent advances in the accuracy of brain tumor segmentation, the...

Hao Li, et al. ∙

research

∙ 08/04/2022

Unsupervised Tissue Segmentation via Deep Constrained Gaussian Network

Tissue segmentation is the mainstay of pathological examination, whereas...

Yang Nan, et al. ∙

research

∙ 08/04/2022

A Novel Automated Classification and Segmentation for COVID-19 using 3D CT Scans

Medical image classification and segmentation based on deep learning (DL...

Shiyi Wang, et al. ∙

research

∙ 07/19/2022

Large-Kernel Attention for 3D Medical Image Segmentation

Automatic segmentation of multiple organs and tumors from 3D medical ima...

Hao Li, et al. ∙

research

∙ 07/09/2022

Explainable AI (XAI) in Biomedical Signal and Image Processing: Promises and Challenges

Artificial intelligence has become pervasive across disciplines and fiel...

Guang Yang, et al. ∙

research

∙ 07/05/2022

Swin Deformable Attention U-Net Transformer (SDAUT) for Explainable Fast MRI

Fast MRI aims to reconstruct a high fidelity image from partially observ...

Jiahao Huang, et al. ∙

research

∙ 06/27/2022

BashExplainer: Retrieval-Augmented Bash Code Comment Generation based on Fine-tuned CodeBERT

Developers use shell commands for many tasks, such as file system manage...

Chi Yu, et al. ∙

research

∙ 06/21/2022

Faster Diffusion Cardiac MRI with Deep Learning-based breath hold reduction

Diffusion Tensor Cardiac Magnetic Resonance (DT-CMR) enables us to probe...

Michael Tanzer, et al. ∙

research

∙ 04/08/2022

Towards Reliable and Explainable AI Model for Solid Pulmonary Nodule Diagnosis

Lung cancer has the highest mortality rate of deadly cancers in the worl...

Chenglong Wang, et al. ∙

research

∙ 03/21/2022

ME-Net: Multi-Encoder Net Framework for Brain Tumor Segmentation

Glioma is the most common and aggressive brain tumor. Magnetic resonance...

Wenbo Zhang, et al. ∙

research

∙ 03/11/2022

Automatic Fine-grained Glomerular Lesion Recognition in Kidney Pathology

Recognition of glomeruli lesions is the key for diagnosis and treatment ...

Yang Nan, et al. ∙

research

∙ 03/07/2022

Unsupervised Image Registration Towards Enhancing Performance and Explainability in Cardiac And Brain Image Analysis

Magnetic Resonance Imaging (MRI) typically recruits multiple sequences (...

Chengjia Wang, et al. ∙

research

∙ 02/20/2022

SOTitle: A Transformer-based Post Title Generation Approach for Stack Overflow

On Stack Overflow, developers can not only browse question posts to solv...

Ke Liu, et al. ∙

research

∙ 02/20/2022

DualSC: Automatic Generation and Summarization of Shellcode via Transformer and Dual Learning

A shellcode is a small piece of code and it is executed to exploit a sof...

Guang Yang, et al. ∙

research

∙ 02/11/2022

Explainable COVID-19 Infections Identification and Delineation Using Calibrated Pseudo Labels

The upheaval brought by the arrival of the COVID-19 pandemic has continu...

Ming Li, et al. ∙

research

∙ 02/03/2022

DocBed: A Multi-Stage OCR Solution for Documents with Complex Layouts

Digitization of newspapers is of interest for many reasons including pre...

Wenzhen Zhu, et al. ∙

research

∙ 01/31/2022

AI-based Medical e-Diagnosis for Fast and Automatic Ventricular Volume Measurement in the Patients with Normal Pressure Hydrocephalus

Based on CT and MRI images acquired from normal pressure hydrocephalus (...

Xi Zhou, et al. ∙

research

∙ 01/23/2022

Fast MRI Reconstruction: How Powerful Transformers Are?

Magnetic resonance imaging (MRI) is a widely used non-radiative and non-...

Jiahao Huang, et al. ∙

research

∙ 01/17/2022

Data Harmonisation for Information Fusion in Digital Healthcare: A State-of-the-Art Systematic Review, Meta-Analysis and Future Research Directions

Removing the bias and variance of multicentre data has always been a cha...

Yang Nan, et al. ∙

research

∙ 12/23/2021

AI-based Reconstruction for Fast MRI – A Systematic Review and Meta-analysis

Compressed sensing (CS) has been playing a key role in accelerating the ...

Yutong Chen, et al. ∙

research

∙ 12/10/2021

Edge-Enhanced Dual Discriminator Generative Adversarial Network for Fast MRI with Parallel Imaging Using Multi-view Information

In clinical medicine, magnetic resonance imaging (MRI) is one of the mos...

Jiahao Huang, et al. ∙

research

∙ 12/09/2021

Robust Weakly Supervised Learning for COVID-19 Recognition Using Multi-Center CT Images

The world is currently experiencing an ongoing pandemic of an infectious...

Qinghao Ye, et al. ∙

research

∙ 10/31/2021

Focal Attention Networks: optimising attention for biomedical image segmentation

In recent years, there has been increasing interest to incorporate atten...

Michael Yeung, et al. ∙

research

∙ 10/31/2021

Incorporating Boundary Uncertainty into loss functions for biomedical image segmentation

Manual segmentation is used as the gold-standard for evaluating neural n...

Michael Yeung, et al. ∙

research

∙ 10/31/2021

Calibrating the Dice loss to handle neural network overconfidence for biomedical image segmentation

The Dice similarity coefficient (DSC) is both a widely used metric and l...

Michael Yeung, et al. ∙

research

∙ 10/04/2021

Synthetic Velocity Mapping Cardiac MRI Coupled with Automated Left Ventricle Segmentation

Temporal patterns of cardiac motion provide important information for ca...

Xiaodan Xing, et al. ∙

research

∙ 10/03/2021

DeepSCC: Source Code Classification Based on Fine-Tuned RoBERTa

In software engineering-related tasks (such as programming language tag ...

Guang Yang, et al. ∙

research

∙ 09/17/2021

Adaptive Hierarchical Dual Consistency for Semi-Supervised Left Atrium Segmentation on Cross-Domain Data

Semi-supervised learning provides great significance in left atrium (LA)...

Jun Chen, et al. ∙

research

∙ 08/09/2021

FA-GAN: Fused Attentive Generative Adversarial Networks for MRI Image Super-Resolution

High-resolution magnetic resonance images can provide fine-grained anato...

Mingfeng Jiang, et al. ∙

research

∙ 07/26/2021

3D AGSE-VNet: An Automatic Brain Tumor MRI Data Segmentation Framework

Background: Glioma is the most common brain malignant tumor, with a high...

Xi Guan, et al. ∙

research

∙ 07/21/2021

High-Resolution Pelvic MRI Reconstruction Using a Generative Adversarial Network with Attention and Cyclic Loss

Magnetic resonance imaging (MRI) is an important medical imaging modalit...

Guangyuan Li, et al. ∙

research

∙ 07/19/2021

RingFed: Reducing Communication Costs in Federated Learning on Non-IID Data

Federated learning is a widely used distributed deep learning framework ...

Guang Yang, et al. ∙

research

∙ 07/08/2021

ComFormer: Code Comment Generation via Transformer and Fusion Method-based Hybrid Code Representation

Developers often write low-quality code comments due to the lack of prog...

Guang Yang, et al. ∙

research

∙ 06/28/2021

Recent Advances in Fibrosis and Scar Segmentation from Cardiac MRI: A State-of-the-Art Review and Future Perspectives

Segmentation of cardiac fibrosis and scar are essential for clinical dia...

Yinzhe Wu, et al. ∙

research

∙ 05/22/2021

MIASSR: An Approach for Medical Image Arbitrary Scale Super-Resolution

Single image super-resolution (SISR) aims to obtain a high-resolution ou...

Jin Zhu, et al. ∙

research

∙ 05/17/2021

Transfer Learning Enhanced Generative Adversarial Networks for Multi-Channel MRI Reconstruction

Deep learning based generative adversarial networks (GAN) can effectivel...

Jun Lv, et al. ∙

research

∙ 05/04/2021

Generative Adversarial Networks (GAN) Powered Fast Magnetic Resonance Imaging – Mini Review, Comparison and Perspectives

Magnetic Resonance Imaging (MRI) is a vital component of medical imaging...

Guang Yang, et al. ∙

research

∙ 05/01/2021

JAS-GAN: Generative Adversarial Network Based Joint Atrium and Scar Segmentations on Unbalanced Atrial Targets

Automated and accurate segmentations of left atrium (LA) and atrial scar...

Jun Chen, et al. ∙

research

∙ 04/26/2021

Three-Dimensional Embedded Attentive RNN (3D-EAR) Segmentor for Left Ventricle Delineation from Myocardial Velocity Mapping

Myocardial Velocity Mapping Cardiac MR (MVM-CMR) can be used to measure ...

Mengmeng Kuang, et al. ∙

research

∙ 02/12/2021

DeepPseudo: Deep Pseudo-code Generation via Transformer and Code Feature Extraction

Pseudo-code written by natural language is helpful for novice developers...

Guang Yang, et al. ∙

research

∙ 02/03/2021

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 ...

Guang Yang, et al. ∙

research

∙ 12/16/2020

Automated Multi-Channel Segmentation for the 4D Myocardial Velocity Mapping Cardiac MR

Four-dimensional (4D) left ventricular myocardial velocity mapping (MVM)...

Yinzhe Wu, et al. ∙

research

∙ 08/25/2020

Decentralized Custody Scheme with Game-Theoretic Security

Custody is a core financial service in which the custodian holds in safe...

Zhaohua Chen, et al. ∙

research

∙ 08/05/2020

Annealing Genetic GAN for Minority Oversampling

The key to overcome class imbalance problems is to capture the distribut...

Jingyu Hao, et al. ∙

research

∙ 06/23/2020

Deep Attentive Wasserstein Generative Adversarial Networks for MRI Reconstruction with Recurrent Context-Awareness

The performance of traditional compressive sensing-based MRI (CS-MRI) re...

YiFeng Guo, et al. ∙

research

∙ 06/01/2020

GHAST: Breaking Confirmation Delay Barrier in Nakamoto Consensus via Adaptive Weighted Blocks

Initiated from Nakamoto's Bitcoin system, blockchain technology has demo...

Chenxing Li, et al. ∙

research

∙ 05/11/2020

Gleason Score Prediction using Deep Learning in Tissue Microarray Image

Prostate cancer (PCa) is one of the most common cancers in men around th...

Yi-hong Zhang, et al. ∙

research

∙ 04/14/2020

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...

Shaoping Hu, et al. ∙

research

∙ 02/02/2020

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...

Guang Yang, et al. ∙

research

∙ 01/09/2020

A Collaborative Learning Framework via Federated Meta-Learning

Many IoT applications at the network edge demand intelligent decisions i...

Sen Lin, et al. ∙

Guang Yang

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