b'Xiaowei Xu'

research

∙ 02/25/2023

SATBA: An Invisible Backdoor Attack Based On Spatial Attention

As a new realm of AI security, backdoor attack has drew growing attentio...

0 Huasong Zhou, et al. ∙

research

∙ 11/03/2022

ImageCAS: A Large-Scale Dataset and Benchmark for Coronary Artery Segmentation based on Computed Tomography Angiography Images

Cardiovascular disease (CVD) accounts for about half of non-communicable...

0 An Zeng, et al. ∙

research

∙ 10/27/2022

Unsupervised Knowledge Graph Construction and Event-centric Knowledge Infusion for Scientific NLI

With the advance of natural language inference (NLI), a rising demand fo...

0 Chenglin Wang, et al. ∙

research

∙ 07/03/2022

Sub-cluster-aware Network for Few-shot Skin Disease Classification

This paper studies the few-shot skin disease classification problem. Bas...

12 Shuhan LI, et al. ∙

research

∙ 06/08/2022

RT-DNAS: Real-time Constrained Differentiable Neural Architecture Search for 3D Cardiac Cine MRI Segmentation

Accurately segmenting temporal frames of cine magnetic resonance imaging...

0 Qing Lu, et al. ∙

research

∙ 03/04/2022

FairPrune: Achieving Fairness Through Pruning for Dermatological Disease Diagnosis

Many works have shown that deep learning-based medical image classificat...

0 Yawen Wu, et al. ∙

research

∙ 10/23/2021

"One-Shot" Reduction of Additive Artifacts in Medical Images

Medical images may contain various types of artifacts with different pat...

0 Yu-Jen Chen, et al. ∙

research

∙ 10/14/2021

Multi-Layer Pseudo-Supervision for Histopathology Tissue Semantic Segmentation using Patch-level Classification Labels

Tissue-level semantic segmentation is a vital step in computational path...

0 Chu Han, et al. ∙

research

∙ 09/15/2021

Semi-supervised Contrastive Learning for Label-efficient Medical Image Segmentation

The success of deep learning methods in medical image segmentation tasks...

0 Xinrong Hu, et al. ∙

research

∙ 09/14/2021

Hardware-aware Real-time Myocardial Segmentation Quality Control in Contrast Echocardiography

Automatic myocardial segmentation of contrast echocardiography has shown...

0 Dewen Zeng, et al. ∙

research

∙ 09/01/2021

ImageTBAD: A 3D Computed Tomography Angiography Image Dataset for Automatic Segmentation of Type-B Aortic Dissection

Type-B Aortic Dissection (TBAD) is one of the most serious cardiovascula...

12 Zeyang Yao, et al. ∙

research

∙ 06/29/2021

Segmentation with Multiple Acceptable Annotations: A Case Study of Myocardial Segmentation in Contrast Echocardiography

Most existing deep learning-based frameworks for image segmentation assu...

0 Dewen Zeng, et al. ∙

research

∙ 06/16/2021

Positional Contrastive Learning for Volumetric Medical Image Segmentation

The success of deep learning heavily depends on the availability of larg...

0 Dewen Zeng, et al. ∙

research

∙ 05/18/2021

EchoCP: An Echocardiography Dataset in Contrast Transthoracic Echocardiography for Patent Foramen Ovale Diagnosis

Patent foramen ovale (PFO) is a potential separation between the septum,...

0 Tianchen Wang, et al. ∙

research

∙ 04/06/2021

Pyramid U-Net for Retinal Vessel Segmentation

Retinal blood vessel can assist doctors in diagnosis of eye-related dise...

0 Jiawei Zhang, et al. ∙

research

∙ 01/30/2021

ObjectAug: Object-level Data Augmentation for Semantic Image Segmentation

Semantic image segmentation aims to obtain object labels with precise bo...

15 Jiawei Zhang, et al. ∙

research

∙ 01/26/2021

ImageCHD: A 3D Computed Tomography Image Dataset for Classification of Congenital Heart Disease

Congenital heart disease (CHD) is the most common type of birth defect, ...

0 Xiaowei Xu, et al. ∙

research

∙ 12/29/2020

Myocardial Segmentation of Cardiac MRI Sequences with Temporal Consistency for Coronary Artery Disease Diagnosis

Coronary artery disease (CAD) is the most common cause of death globally...

1 Yutian Chen, et al. ∙

research

∙ 12/16/2020

C2F-FWN: Coarse-to-Fine Flow Warping Network for Spatial-Temporal Consistent Motion Transfer

Human video motion transfer (HVMT) aims to synthesize videos that one pe...

0 Dongxu Wei, et al. ∙

research

∙ 12/08/2020

Weakly-Supervised Cross-Domain Adaptation for Endoscopic Lesions Segmentation

Weakly-supervised learning has attracted growing research attention on m...

0 Jiahua Dong, et al. ∙

research

∙ 11/04/2020

Do Noises Bother Human and Neural Networks In the Same Way? A Medical Image Analysis Perspective

Deep learning had already demonstrated its power in medical images, incl...

32 Shao-Cheng Wen, et al. ∙

research

∙ 08/24/2020

CSCL: Critical Semantic-Consistent Learning for Unsupervised Domain Adaptation

Unsupervised domain adaptation without consuming annotation process for ...

0 Jiahua Dong, et al. ∙

research

∙ 08/17/2020

Towards Cardiac Intervention Assistance: Hardware-aware Neural Architecture Exploration for Real-Time 3D Cardiac Cine MRI Segmentation

Real-time cardiac magnetic resonance imaging (MRI) plays an increasingly...

0 Dewen Zeng, et al. ∙

research

∙ 07/18/2020

ICA-UNet: ICA Inspired Statistical UNet for Real-time 3D Cardiac Cine MRI Segmentation

Real-time cine magnetic resonance imaging (MRI) plays an increasingly im...

0 Tianchen Wang, et al. ∙

research

∙ 07/14/2020

BUNET: Blind Medical Image Segmentation Based on Secure UNET

The strict security requirements placed on medical records by various pr...

0 Song Bian, et al. ∙

research

∙ 06/27/2020

Evolving Metric Learning for Incremental and Decremental Features

Online metric learning has been widely exploited for large-scale data cl...

7 Jiahua Dong, et al. ∙

research

∙ 04/24/2020

What Can Be Transferred: Unsupervised Domain Adaptation for Endoscopic Lesions Segmentation

Unsupervised domain adaptation has attracted growing research attention ...

0 Jiahua Dong, et al. ∙

research

∙ 02/21/2020

Deep Learning System to Screen Coronavirus Disease 2019 Pneumonia

We found that the real time reverse transcription-polymerase chain react...

0 Xiaowei Xu, et al. ∙

research

∙ 11/25/2019

GAC-GAN: A General Method for Appearance-Controllable Human Video Motion Transfer

Human video motion transfer has a wide range of applications in multimed...

0 Dongxu Wei, et al. ∙

research

∙ 11/05/2019

ColluEagle: Collusive review spammer detection using Markov random fields

Product reviews are extremely valuable for online shoppers in providing ...

0 Zhuo Wang, et al. ∙

research

∙ 11/03/2019

MRNN: A Multi-Resolution Neural Network with Duplex Attention for Document Retrieval in the Context of Question Answering

The primary goal of ad-hoc retrieval (document retrieval in the context ...

0 Tolgahan Cakaloglu, et al. ∙

research

∙ 10/31/2019

On Neural Architecture Search for Resource-Constrained Hardware Platforms

In the recent past, the success of Neural Architecture Search (NAS) has ...

10 Qing Lu, et al. ∙

research

∙ 09/15/2019

MSU-Net: Multiscale Statistical U-Net for Real-time 3D Cardiac MRI Video Segmentation

Cardiac magnetic resonance imaging (MRI) is an essential tool for MRI-gu...

0 Tianchen Wang, et al. ∙

research

∙ 07/06/2019

Accurate Congenital Heart Disease ModelGeneration for 3D Printing

3D printing has been widely adopted for clinical decision making and int...

3 Xiaowei Xu, et al. ∙

research

∙ 07/06/2019

Accurate Congenital Heart Disease Model Generation for 3D Printing

3D printing has been widely adopted for clinical decision making and int...

1 Xiaowei Xu, et al. ∙

research

∙ 04/15/2019

Exploiting Computation Power of Blockchain for Biomedical Image Segmentation

Biomedical image segmentation based on Deep neuralnetwork (DNN) is a pro...

0 Boyang Li, et al. ∙

research

∙ 04/09/2019

Machine Vision Guided 3D Medical Image Compression for Efficient Transmission and Accurate Segmentation in the Clouds

Cloud based medical image analysis has become popular recently due to th...

0 Zihao Liu, et al. ∙

research

∙ 03/15/2019

SCNN: A General Distribution based Statistical Convolutional Neural Network with Application to Video Object Detection

Various convolutional neural networks (CNNs) were developed recently tha...

0 Tianchen Wang, et al. ∙

research

∙ 03/05/2019

On the Quantization of Cellular Neural Networks for Cyber-Physical Systems

Cyber-Physical Systems (CPSs) have been pervasive including smart grid, ...

0 Xiaowei Xu, et al. ∙

research

∙ 02/02/2019

A Multi-Resolution Word Embedding for Document Retrieval from Large Unstructured Knowledge Bases

Deep language models learning a hierarchical representation proved to be...

0 Tolgahan Cakaloglu, et al. ∙

research

∙ 12/02/2018

MDU-Net: Multi-scale Densely Connected U-Net for biomedical image segmentation

Radiologist is "doctor's doctor", biomedical image segmentation plays a ...

0 Jiawei Zhang, et al. ∙

research

∙ 10/24/2018

Text Embeddings for Retrieval From a Large Knowledge Base

Text embedding representing natural language documents in a semantic vec...

4 Tolgahan Cakaloglu, et al. ∙

research

∙ 09/01/2018

DAC-SDC Low Power Object Detection Challenge for UAV Applications

The 55th Design Automation Conference (DAC) held its first System Design...

0 Xiaowei Xu, et al. ∙

research

∙ 03/13/2018

Quantization of Fully Convolutional Networks for Accurate Biomedical Image Segmentation

With pervasive applications of medical imaging in health-care, biomedica...

0 Xiaowei Xu, et al. ∙

research

∙ 02/26/2018

PBGAN: Partial Binarization of Deconvolution Based Generators

The generator is quite different from the discriminator in a generative ...

0 Jinglan Liu, et al. ∙

research

∙ 05/03/2017

Lifelong Metric Learning

The state-of-the-art online learning approaches are only capable of lear...

0 Gan Sun, et al. ∙

Xiaowei Xu

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