Learning to See in the Dark

Chen Chen, Qifeng Chen, Xu Jia, +1

Low SnrEngineeringMachine LearningDeblurringImage Analysis +15

A global benchmark of algorithms for segmenting the left atrium from late gadolinium-enhanced cardiac magnetic resonance imaging

Zhaohan Xiong, Qing Xia, Zhiqiang Hu, +41

Medical Image Analysis

EngineeringHealth SciencesMedical ImagingVascular ImageLeft Atrium +10

Colon cancer diagnosis and staging classification based on machine learning and bioinformatics analysis

Ying Su, Xuecong Tian, Rui Gao, +3

Computers in Biology and Medicine

EngineeringMachine LearningDigital PathologyPathologyBioinformatics Analysis +15

An Analysis of Adversarial Attacks and Defenses on Autonomous Driving Models

Yao Deng, Xi Zheng, Tianyi Zhang, +3

Artificial IntelligenceAutonomous Driving ModelsConvolutional Neural NetworkEngineeringMachine Learning +16

TransBTS: Multimodal Brain Tumor Segmentation Using Transformer

Wenxuan Wang, Chen Chen, Meng Ding, +3

arXiv (Cornell University)

Convolutional Neural NetworkMedical Image SegmentationEngineeringBrain Tumor SegmentationAutoencoders +17

Fabric defect inspection based on lattice segmentation and Gabor filtering

Liang Jia, Chen Chen, Jiuzhen Liang, +1

Neurocomputing

Automated InspectionTextile TestingStructural Health MonitoringFabric Defect Inspection

Pre-treatment CT-based radiomics nomogram for predicting microsatellite instability status in colorectal cancer

Qian Pei, Xiaoping Yi, Chen Chen, +9

European Radiology

EngineeringMicrosatellite Instability StatusMedical ImagingMedicinePre-treatment Ct-based Radiomics +9

Round-Robin Synchronization: Mitigating Communication Bottlenecks in Parameter Servers

Chen Chen, Wei Wang, Bo Li

Cluster ComputingEngineeringMachine LearningDistributed AlgorithmsFault-tolerant Messaging +18

Cardiac segmentation on late gadolinium enhancement MRI: A benchmark study from multi-sequence cardiac MR segmentation challenge

Xiahai Zhuang, Jiahang Xu, Xinzhe Luo, +20

Medical Image Analysis

EngineeringHealth SciencesMedical ImagingBenchmark StudyBiomedical Imaging +10

Adrenal incidentaloma: machine learning-based quantitative texture analysis of unenhanced CT can effectively differentiate sPHEO from lipid-poor adrenal adenoma

Xiaoping Yi, Xiao Guan, Chen Chen, +9

Journal of Cancer