Qin, Jing

Automated Melanoma Recognition in Dermoscopy Images via Very Deep Residual Networks

Yu, L., Chen, H., Dou, Q., Qin, J., & Heng, P.-A. (2017) · IEEE Transactions on Medical Imaging

Cutaneous Melanoma Detection and ManagementAI in cancer detection

Cited by 1,140

Computer-aided diagnosis with deep learning architecture: applications to breast lesions in US images and pulmonary nodules in CT scans

Cheng, J.-Z., Ni, D., Chou, Y.-H., Qin, J., Tiu, C.-M., Chang, Y.-C., Huang, C.-S., Shen, D., & Chen, C.-M. (2016) · Scientific Reports

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 755

Automatic Detection of Cerebral Microbleeds From MR Images via 3D Convolutional Neural Networks

Dou, Q., Chen, H., Yu, L., Zhao, L., Qin, J., Wang, D., Mok, V. C., Shi, L., & Heng, P.-A. (2016) · IEEE Transactions on Medical Imaging

Medical Image Segmentation TechniquesIntracerebral and Subarachnoid Hemorrhage Research

Cited by 679

Standard Plane Localization in Fetal Ultrasound via Domain Transferred Deep Neural Networks

Chen, H., Ni, D., Qin, J., Li, S., Yang, X., Wang, T., & Heng, P. A. (2015) · IEEE Journal of Biomedical and Health Informatics

Medical Image Segmentation TechniquesDomain Adaptation and Few-Shot Learning

Cited by 379

3D Deeply Supervised Network for Automatic Liver Segmentation from CT Volumes

Dou, Q., Chen, H., Jin, Y., Yu, L., Qin, J., & Heng, P.-A. (2016) · Lecture Notes in Computer Science

Medical Image Segmentation TechniquesMedical Imaging and Analysis

Cited by 344

SINet: A Scale-Insensitive Convolutional Neural Network for Fast Vehicle Detection

Hu, X., Xu, X., Xiao, Y., Chen, H., He, S., Qin, J., & Heng, P.-A. (2019) · IEEE Transactions on Intelligent Transportation Systems

Advanced Neural Network ApplicationsAutonomous Vehicle Technology and Safety

Cited by 341

SV-RCNet: Workflow Recognition From Surgical Videos Using Recurrent Convolutional Network

Jin, Y., Dou, Q., Chen, H., Yu, L., Qin, J., Fu, C.-W., & Heng, P.-A. (2018) · IEEE Transactions on Medical Imaging

Surgical Simulation and TrainingMedical Image Segmentation Techniques

Cited by 316

Computer-Assisted Decision Support System in Pulmonary Cancer detection and stage classification on CT images

Masood, A., Sheng, B., Li, P., Hou, X., Wei, X., Qin, J., & Feng, D. (2018) · Journal of Biomedical Informatics

AI in cancer detectionLung Cancer Diagnosis and Treatment

Cited by 292

Automatic Fetal Ultrasound Standard Plane Detection Using Knowledge Transferred Recurrent Neural Networks

Chen, H., Dou, Q., Ni, D., Cheng, J.-Z., Qin, J., Li, S., & Heng, P.-A. (2015) · Lecture Notes in Computer Science

Medical Image Segmentation TechniquesArtificial Intelligence in Healthcare and Education

Cited by 180

Ultrasound Standard Plane Detection Using a Composite Neural Network Framework

Chen, H., Wu, L., Dou, Q., Qin, J., Li, S., Cheng, J.-Z., Ni, D., & Heng, P.-A. (2017) · IEEE Transactions on Cybernetics

Medical Image Segmentation TechniquesPrenatal Screening and Diagnostics

Cited by 164

Automatic Fetal Head Circumference Measurement in Ultrasound Using Random Forest and Fast Ellipse Fitting

Li, J., Wang, Y., Lei, B., Cheng, J.-Z., Qin, J., Wang, T., Li, S., & Ni, D. (2018) · IEEE Journal of Biomedical and Health Informatics

Medical Image Segmentation TechniquesMedical Imaging and Analysis

Cited by 120

Towards automated semantic segmentation in prenatal volumetric ultrasound

Yang, X., Yu, L., Li, S., Wen, H., Luo, D., Bian, C., Qin, J., Ni, D., & Heng, P.-A. (2019) · IEEE Transactions on Medical Imaging

Medical Image Segmentation TechniquesAdvanced Neural Network Applications

Cited by 115

A Deep Convolutional Neural Network-Based Framework for Automatic Fetal Facial Standard Plane Recognition

Yu, Z., Tan, E.-L., Ni, D., Qin, J., Chen, S., Li, S., Lei, B., & Wang, T. (2018) · IEEE Journal of Biomedical and Health Informatics

Medical Image Segmentation TechniquesAdvanced Neural Network Applications

Cited by 109

Feasibility and Effects of Virtual Reality Motor-Cognitive Training in Community-Dwelling Older People With Cognitive Frailty: Pilot Randomized Controlled Trial

Kwan, R. Y. C., Liu, J. Y. W., Fong, K. N. K., Qin, J., Leung, P. K.-Y., Sin, O. S. K., Hon, P. Y., Suen, L. W., Tse, M.-K., & Lai, C. K. (2021) · JMIR Serious Games

Frailty in Older AdultsDementia and Cognitive Impairment Research

Cited by 101

A review of deep learning-based deformable medical image registration

Zou, J., Gao, B., Song, Y., & Qin, J. (2022) · Frontiers in Oncology

Medical Image Segmentation TechniquesAdvanced Radiotherapy Techniques

Cited by 91

Hybrid graph convolutional network with online masked autoencoder for robust multimodal cancer survival prediction

Hou, W., Lin, C., Yu, L., Qin, J., Yu, R., & Wang, L. (2023) · IEEE Transactions on Medical Imaging

Machine Learning in HealthcareAdvanced Graph Neural Networks

Cited by 74

Alzheimer’s disease diagnosis from multi-modal data via feature inductive learning and dual multilevel graph neural network

Lei, B., Li, Y., Fu, W., Yang, P., Chen, S., Wang, T., Xiao, X., Niu, T., Fu, Y., Wang, S., et al. (2024) · Medical Image Analysis

Dementia and Cognitive Impairment ResearchAlzheimer's disease research and treatments

Cited by 73

A learning-based multimodel integrated framework for dynamic traffic flow forecasting

Zhou, T., Han, G., Xu, X., Han, C., Huang, Y., & Qin, J. (2019) · Neural Processing Letters

Traffic Prediction and Management TechniquesTraffic control and management

Cited by 66

Standard Plane Localization in Ultrasound by Radial Component Model and Selective Search

Ni, D., Yang, X., Chen, X., Chin, C.-T., Chen, S., Heng, P. A., Li, S., Qin, J., & Wang, T. (2014) · Ultrasound in Medicine & Biology

Medical Image Segmentation TechniquesArtificial Intelligence in Healthcare and Education

Cited by 65

Towards Automatic Semantic Segmentation in Volumetric Ultrasound

Yang, X., Yu, L., Li, S., Wang, X., Wang, N., Qin, J., Ni, D., & Heng, P.-A. (2017) · Lecture Notes in Computer Science

Medical Image Segmentation TechniquesAdvanced Neural Network Applications

Cited by 61

Novel deep learning-based computer-aided diagnosis system for predicting inflammatory activity in ulcerative colitis

Fan, Y., Mu, R., Xu, H., Xie, C., Zhang, Y., Liu, L., Wang, L., Shi, H., Hu, Y., Ren, J., et al. (2023) · Gastrointestinal Endoscopy

Inflammatory Bowel DiseaseAI in cancer detection

Cited by 58

Convolutional Neural Network with Median Layers for Denoising Salt-and-Pepper Contaminations

Liang, L., Deng, S., Gueguen, L., Wei, M., Wu, X., & Qin, J. (2019) · arXiv

Image and Signal Denoising MethodsImage Enhancement Techniques

Cited by 44

Selective Search and Sequential Detection for Standard Plane Localization in Ultrasound

Ni, D., Li, T., Yang, X., Qin, J., Li, S., Chin, C.-T., Ouyang, S., Wang, T., & Chen, S. (2013) · Lecture Notes in Computer Science

Medical Image Segmentation TechniquesMedical Imaging and Analysis

Cited by 33

Feasibility, acceptability, and preliminary effectiveness of mindfulness‐based interventions for people with recent‐onset psychosis: A systematic review

Li, Y., Coster, S., Norman, I., Chien, W. T., Qin, J., Ling Tse, M., & Bressington, D. (2021) · Early Intervention in Psychiatry

Mindfulness and Compassion InterventionsSchizophrenia research and treatment

Cited by 17