b'Guang Yang'

research

∙ 09/08/2023

SegmentAnything helps microscopy images based automatic and quantitative organoid detection and analysis

Organoids are self-organized 3D cell clusters that closely mimic the arc...

0 Xiaodan Xing, et al. ∙

research

∙ 09/06/2023

DMKD: Improving Feature-based Knowledge Distillation for Object Detection Via Dual Masking Augmentation

Recent mainstream masked distillation methods function by reconstructing...

0 Guang Yang, et al. ∙

research

∙ 09/01/2023

Optimization towards Efficiency and Stateful of dispel4py

Scientific workflows bridge scientific challenges with computational res...

0 Liang Liang, et al. ∙

research

∙ 08/18/2023

Video-Instrument Synergistic Network for Referring Video Instrument Segmentation in Robotic Surgery

Robot-assisted surgery has made significant progress, with instrument se...

0 Hongqiu Wang, et al. ∙

research

∙ 07/24/2023

Is attention all you need in medical image analysis? A review

Medical imaging is a key component in clinical diagnosis, treatment plan...

0 Giorgos Papanastasiou, et al. ∙

research

∙ 07/11/2023

SAM^Med: A medical image annotation framework based on large vision model

Recently, large vision model, Segment Anything Model (SAM), has revoluti...

0 Chenglong Wang, et al. ∙

research

∙ 06/25/2023

CDiffMR: Can We Replace the Gaussian Noise with K-Space Undersampling for Fast MRI?

Deep learning has shown the capability to substantially accelerate MRI r...

0 Jiahao Huang, et al. ∙

research

∙ 05/24/2023

ChatAgri: Exploring Potentials of ChatGPT on Cross-linguistic Agricultural Text Classification

In the era of sustainable smart agriculture, a massive amount of agricul...

0 Biao Zhao, et al. ∙

research

∙ 05/07/2023

Heterogeneous Directed Hypergraph Neural Network over abstract syntax tree (AST) for Code Classification

Code classification is a difficult issue in program understanding and au...

0 Guang Yang, et al. ∙

research

∙ 04/03/2023

Efficient LQR-CBF-RRT*: Safe and Optimal Motion Planning

Control Barrier Functions (CBF) are a powerful tool for designing safety...

0 Guang Yang, et al. ∙

research

∙ 03/19/2023

Less is More: Unsupervised Mask-guided Annotated CT Image Synthesis with Minimum Manual Segmentations

As a pragmatic data augmentation tool, data synthesis has generally retu...

0 Xiaodan Xing, et al. ∙

research

∙ 03/18/2023

Diff-UNet: A Diffusion Embedded Network for Volumetric Segmentation

In recent years, Denoising Diffusion Models have demonstrated remarkable...

12 Zhaohu Xing, et al. ∙

research

∙ 03/10/2023

Multi-site, Multi-domain Airway Tree Modeling (ATM'22): A Public Benchmark for Pulmonary Airway Segmentation

Open international challenges are becoming the de facto standard for ass...

0 Minghui Zhang, et al. ∙

research

∙ 03/09/2023

A Syntax-Guided Multi-Task Learning Approach for Turducken-Style Code Generation

Due to the development of pre-trained language models, automated code ge...

0 Guang Yang, et al. ∙

research

∙ 03/08/2023

Learning Environment-Aware Control Barrier Functions for Safe and Feasible Multi-Robot Navigation

Control Barrier Functions (CBFs) have been applied to provide safety gua...

3 Zhan Gao, et al. ∙

research

∙ 02/28/2023

Swin Deformable Attention Hybrid U-Net for Medical Image Segmentation

How to harmonize convolution and multi-head self-attention mechanisms ha...

0 Lichao Wang, et al. ∙

research

∙ 02/22/2023

A residual dense vision transformer for medical image super-resolution with segmentation-based perceptual loss fine-tuning

Super-resolution plays an essential role in medical imaging because it p...

0 Jin Zhu, et al. ∙

research

∙ 01/31/2023

AMD: Adaptive Masked Distillation for Object

As a general model compression paradigm, feature-based knowledge distill...

0 Guang Yang, et al. ∙

research

∙ 11/29/2022

How Important are Good Method Names in Neural Code Generation? A Model Robustness Perspective

Pre-trained code generation models (PCGMs) have been widely applied in n...

0 Guang Yang, et al. ∙

research

∙ 11/03/2022

Video Event Extraction via Tracking Visual States of Arguments

Video event extraction aims to detect salient events from a video and id...

0 Guang Yang, et al. ∙

research

∙ 10/24/2022

Deep Kronecker Network

We propose Deep Kronecker Network (DKN), a novel framework designed for ...

0 Long Feng, et al. ∙

research

∙ 09/20/2022

Review of data types and model dimensionality for cardiac DTI SMS-related artefact removal

As diffusion tensor imaging (DTI) gains popularity in cardiac imaging du...

0 Michael Tanzer, et al. ∙

research

∙ 09/17/2022

Non-Imaging Medical Data Synthesis for Trustworthy AI: A Comprehensive Survey

Data quality is the key factor for the development of trustworthy AI in ...

0 Xiaodan Xing, et al. ∙

research

∙ 09/15/2022

MIPI 2022 Challenge on RGBW Sensor Re-mosaic: Dataset and Report

Developing and integrating advanced image sensors with novel algorithms ...

1 Qingyu Yang, et al. ∙

research

∙ 09/15/2022

MIPI 2022 Challenge on RGBW Sensor Fusion: Dataset and Report

Developing and integrating advanced image sensors with novel algorithms ...

9 Qingyu Yang, et al. ∙

research

∙ 09/15/2022

MIPI 2022 Challenge on Quad-Bayer Re-mosaic: Dataset and Report

Developing and integrating advanced image sensors with novel algorithms ...

4 Qingyu Yang, et al. ∙

research

∙ 09/02/2022

Multi-Modal Experience Inspired AI Creation

AI creation, such as poem or lyrics generation, has attracted increasing...

0 Qian Cao, et al. ∙

research

∙ 09/01/2022

Delving into the Frequency: Temporally Consistent Human Motion Transfer in the Fourier Space

Human motion transfer refers to synthesizing photo-realistic and tempora...

7 Guang Yang, et al. ∙

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...

17 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...

22 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...

0 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...

12 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...

0 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...

0 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...

0 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...

0 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...

0 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...

27 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 ...

0 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 (...

57 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...

0 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...

0 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...

6 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...

23 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 (...

0 Xi Zhou, 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...

26 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 ...

18 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...

0 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...

5 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...

0 Michael Yeung, et al. ∙

Guang Yang

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