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Enhancing trabecular CT scans based on deep learning with multi-strategy fusion Journal article
Ge, Peixuan, Li, Shibo, Liang, Yefeng, Zhang, Shuwei, Zhang, Lihai, Hu, Ying, Yao, Liang, Wong, Pak Kin. Enhancing trabecular CT scans based on deep learning with multi-strategy fusion[J]. Computerized Medical Imaging and Graphics, 2024, 116, 102410.
Authors:  Ge, Peixuan;  Li, Shibo;  Liang, Yefeng;  Zhang, Shuwei;  Zhang, Lihai; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:5.4/6.1 | Submit date：2024/07/04
Deep Supervision  Dual-view Learning  Medical Image Processing  Medical Image Restoration  Medical Image Segmentation  Trabecular Ct Analysis  Unsupervised Domain Adaptation  
Uncertainty-aware prototypical learning for anomaly detection in medical images Journal article
Huang, Chao, Shi, Yushu, Zhang, Bob, Lyu, Ke. Uncertainty-aware prototypical learning for anomaly detection in medical images[J]. Neural Networks, 2024, 175, 106284.
Authors:  Huang, Chao;  Shi, Yushu;  Zhang, Bob;  Lyu, Ke
Favorite | TC[WOS]:0 TC[Scopus]:2  IF:6.0/7.9 | Submit date：2024/05/16
Anomalous Object Detection  Medical Image Analysis  Prototypical Learning  
Single-Stage Broad Multi-Instance Multi-Label Learning (BMIML) With Diverse Inter-Correlations and Its Application to Medical Image Classification Journal article
Lai,Qi, Zhou,Jianhang, Gan,Yanfen, Vong,Chi Man, Chen,C. L.Philip. Single-Stage Broad Multi-Instance Multi-Label Learning (BMIML) With Diverse Inter-Correlations and Its Application to Medical Image Classification[J]. IEEE Transactions on Emerging Topics in Computational Intelligence, 2023, 8(1), 828-839.
Authors:  Lai,Qi;  Zhou,Jianhang;  Gan,Yanfen;  Vong,Chi Man;  Chen,C. L.Philip
Favorite | TC[WOS]:1 TC[Scopus]:3  IF:5.3/5.7 | Submit date：2023/08/03
Biomedical Imaging  Computational Intelligence  Correlation  Diseases  Medical Image Classification  Multi-instance Learning  Multi-label Learning  Probabilistic Logic  Simultaneous Learning  Single-stage Framework  Task Analysis  Training  
Automatic Epicardial Fat Segmentation and Quantification of CT Scans Using Dual U-Nets with a Morphological Processing Layer Journal article
Zhang,Qi, Zhou,Jianhang, Zhang,Bob, Jia,Weijia, Wu,Enhua. Automatic Epicardial Fat Segmentation and Quantification of CT Scans Using Dual U-Nets with a Morphological Processing Layer[J]. IEEE Access, 2020, 8, 128032-128041.
Authors:  Zhang,Qi;  Zhou,Jianhang;  Zhang,Bob;  Jia,Weijia;  Wu,Enhua
Favorite | TC[WOS]:16 TC[Scopus]:22  IF:3.4/3.7 | Submit date：2021/03/11
Cardiac Fat  Ct  Deep Learning  Image Segmentation  Medical Imaging Analysis  
Applying L-SRC for Non-invasive Disease Detection Using Facial Chromaticity and Texture Features Conference paper
Zhou,Jianhang, Zhang,Qi, Zhang,Bob. Applying L-SRC for Non-invasive Disease Detection Using Facial Chromaticity and Texture Features[C], 2019, 156-161.
Authors:  Zhou,Jianhang;  Zhang,Qi;  Zhang,Bob
Favorite | TC[WOS]:1 TC[Scopus]:1 | Submit date：2021/03/11
Facial Image Analysis  Linear Discriminant Analysis  Medical Biometrics  Sparse Representation Algorithms  
Non-invasive multi-disease classification via facial image analysis using a convolutional neural network Conference paper
Zhang L., Zhang B.. Non-invasive multi-disease classification via facial image analysis using a convolutional neural network[C], 2018, 66-71.
Authors:  Zhang L.;  Zhang B.
Favorite | TC[WOS]:3 TC[Scopus]:4 | Submit date：2019/04/04
Deep Learning  Facial Image Analysis  Medical Biometrics  Multi-disease Classification  
Novel noninvasive brain disease detection system using a facial image sensor Journal article
Shu,Ting, Zhang,Bob, Tang,Yuan Yan. Novel noninvasive brain disease detection system using a facial image sensor[J]. Sensors (Switzerland), 2017, 17(12).
Authors:  Shu,Ting;  Zhang,Bob;  Tang,Yuan Yan
Favorite | TC[WOS]:10 TC[Scopus]:13  IF:3.4/3.7 | Submit date：2021/03/11
Brain Disease  Facial Key Block Analysis  Image Sensor  Medical Biometrics  Noninvasive Detection System  Procrc  
An extensive analysis of various texture feature extractors to detect Diabetes Mellitus using facial specific regions Journal article
Shu, Ting, Zhang, Bob, Tang, Yuan Yan. An extensive analysis of various texture feature extractors to detect Diabetes Mellitus using facial specific regions[J]. Computers in Biology and Medicine, 2017, 83, 69-83.
Authors:  Shu, Ting;  Zhang, Bob;  Tang, Yuan Yan
Favorite | TC[WOS]:18 TC[Scopus]:26  IF:7.0/6.7 | Submit date：2018/10/30
Texture Feature Analysis  Facial Key Block Analysis  Diabetes Mellitus Detection  Image Gray-scale Histogram  Medical Biometrics