Browsing by Author Feng, Dagan 'David'

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Issue DateTitleAuthor(s)Citation
20173D segmentation of residual thyroid tissue using constrained region growing and voting strategiesBao, Guoqing; Cui, Hui; Feng, Dagan 'David'; Wang, Xiuying; Zheng, Chaojie; Huang, Gang; Li, Panli; Song, Shao-li; Information Technologies; Information Technologies; Information Technologies; Information Technologies; Information Technologies3D segmentation of residual thyroid tissue using constrained region growing and voting strategies, 2017 International Conference on Digital Image Computing: Techniques and Applications (DICTA), vol.N/A, 2017, pp. 331-335
2016Accelerating magnetic resonance imaging via deep learningFeng, Dagan 'David'; Liang, Dong; Liang, Feng; Ling, Leslie; Peng, Xi; Su, Zhenghang; Wang, Shanshan; Zhu, Shun; Schl Information TechnologiesAccelerating magnetic resonance imaging via deep learning, Proceedings of the 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), vol.N/A, 2016, pp. 514-517
2016Adapting content-based image retrieval techniques for the semantic annotation of medical imagesDyer, Shane; Feng, Dagan 'David'; Fulham, Michael; Kim, Jinman; Kumar, Ashnil; Leong, Philip; Li, Changyang; Electrical Engineering; Schl Information Technologies; Central Clinical School: Medicine; Schl Information Technologies; Schl Information Technologies; Electrical Engineering; Schl Information TechnologiesAdapting content-based image retrieval techniques for the semantic annotation of medical images, Computerized Medical Imaging and Graphics, vol.49, N/A, 2016,pp 37-45
2016Adaptive background search and foreground estimation for saliency detection via comprehensive autoencoderFeng, Dagan 'David'; Kim, Jinman; Li, Ang; Li, Changyang; Wang, Xiu Ying; Yan, Ke; Yuan, Yuchen; Information Technologies; Information Technologies; Information Technologies; Information Technologies; Information Technologies; Information Technologies; Information TechnologiesAdaptive background search and foreground estimation for saliency detection via comprehensive autoencoder, Proceedings of the 23rd IEEE International Conference on Image Processing (ICIP 2016), vol.N/A, 2016, pp. 2767-2771
2014Adaptive Scale Fuzzy Local Gaussian Mixture Model for Brain MR Image SegmentationFeng, Dagan 'David'; Ji, Zexuan; Xia, Yong; Chen, Qiang; Sun, Quansen; Information Technologies; Information Technologies; Information TechnologiesAdaptive Scale Fuzzy Local Gaussian Mixture Model for Brain MR Image Segmentation, Neurocomputing, vol.134, N/A, 2014,pp 60-69
2014Adaptive Scale Fuzzy Local Gaussian Mixture Model for Brain MR Image SegmentationFeng, Dagan 'David'; Ji, Zexuan; Xia, Yong; Chen, Qiang; Sun, Quansen; Information Technologies; Information Technologies; Information TechnologiesAdaptive Scale Fuzzy Local Gaussian Mixture Model for Brain MR Image Segmentation, Neurocomputing, vol.134, N/A, 2014,pp 60-69
2014Adaptive Scale Fuzzy Local Gaussian Mixture Model for Brain MR Image SegmentationFeng, Dagan 'David'; Ji, Zexuan; Xia, Yong; Chen, Qiang; Sun, Quansen; Information Technologies; Information Technologies; Information TechnologiesAdaptive Scale Fuzzy Local Gaussian Mixture Model for Brain MR Image Segmentation, Neurocomputing, vol.134, N/A, 2014,pp 60-69
2017Adrenal lesions detection on low-contrast CT images using fully convolutional networks with multi-scale integrationBi, Lei; Feng, Dagan 'David'; Fulham, Michael; Kim, Jinman; Ning, Guang; Su, Tingwei; Information Technologies; Information Technologies; Information Technologies; Information TechnologiesAdrenal lesions detection on low-contrast CT images using fully convolutional networks with multi-scale integration, 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017), vol.N/A, 2017, pp. 895-898
2016Atmospheric turbulence mitigation based on turbulence extractionFeng, Dagan 'David'; He, Renjie; Wang, Zhiyong; Fan, Yangyu; Schl Information Technologies; Schl Information Technologies; Schl Information TechnologiesAtmospheric turbulence mitigation based on turbulence extraction, Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2016), vol.N/A, 2016, pp. 1442-1446
2017Automated Multi-stage Segmentation of White Blood Cells via Optimizing Color ProcessingCai, Weidong Tom; Feng, Dagan 'David'; Song, Yang; Tareef, Afaf; Chen, Mei; Information Technologies; Information Technologies; Information Technologies; Information TechnologiesAutomated Multi-stage Segmentation of White Blood Cells via Optimizing Color Processing, Proceedings of the 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017), vol.N/A, 2017, pp. 565-568
2016Automated skin lesion segmentation via image-wise supervised learning and multi-scale superpixel based cellular automataAhn, Eujoon; Bi, Lei; Feng, Dagan 'David'; Fulham, Michael; Kim, Jinman; Schl Information Technologies; Schl Information Technologies; Schl Information Technologies; Central Clinical School: Medicine; Schl Information TechnologiesAutomated skin lesion segmentation via image-wise supervised learning and multi-scale superpixel based cellular automata, Proceedings of the 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), vol.N/A, 2016, pp. 1059-1062
2014Automated three-stage nucleus and cytoplasm segmentation of overlapping cellsCai, Weidong Tom; Feng, Dagan 'David'; Song, Yang; Tareef, Afar; Chen, Mei; Schl Information Technologies; Schl Information Technologies; Schl Information Technologies; Schl Information TechnologiesAutomated three-stage nucleus and cytoplasm segmentation of overlapping cells, Control Automation Robotics & Vision (ICARCV), 2014 13th International Conference on, vol.N/A, 2014, pp. 865-870
2017Automatic detection and classification of regions of FDG uptake in whole-body PET-CT lymphoma studiesBi, Lei; Feng, Dagan 'David'; Fulham, Michael; Kim, Jinman; Kumar, Ashnil; Wen, Lingfeng; Information Technologies; Information Technologies; Information Technologies; Information Technologies; Information Technologies; Information TechnologiesAutomatic detection and classification of regions of FDG uptake in whole-body PET-CT lymphoma studies, Computerized Medical Imaging and Graphics, vol.60, N/A, 2017,pp 3-10
2017Automatic Measurement of Thalamic Diameter in 2D Fetal Ultrasound Brain Images using Shape Prior Constrained Regularized Level SetsBenzie, Ronald; Feng, Dagan 'David'; Kim, Jinman; Kumar, Ashnil; Li, Changyang; Nanan, Ralph; Peek, Michael; Quinton, Ann; Sridar, Pradeeba; Woo, Joyce; Kumar, R. Krishna; Nepean Clinical School: Obstetrics & Gynaecology; Information Technologies; Information Technologies; Information Technologies; Information Technologies; Nepean Clinical School: Paediatrics & Child Health; Nepean Clinical School: Obstetrics & Gynaecology; Nepean Clinical School: Obstetrics & Gynaecology; Nepean Clinical School: Medicine; BiochemistryAutomatic Measurement of Thalamic Diameter in 2D Fetal Ultrasound Brain Images using Shape Prior Constrained Regularized Level Sets, IEEE Journal of Biomedical and Health Informatics, vol.21, 4, 2017,pp 1069-1078
2016Automatic melanoma detection via multi-scale lesion-biased representation and joint reverse classificationAhn, Eujoon; Bi, Lei; Feng, Dagan 'David'; Fulham, Michael; Kim, Jinman; Schl Information Technologies; Schl Information Technologies; Schl Information Technologies; Central Clinical School: Medicine; Schl Information TechnologiesAutomatic melanoma detection via multi-scale lesion-biased representation and joint reverse classification, Proceedings of the 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), vol.N/A, 2016, pp. 1055-1058
2016Automatic Nuclei and Cytoplasm Segmentation of Leukocytes with Color and Texture-based Image EnhancementCai, Weidong Tom; Feng, Dagan 'David'; Song, Yang; Tareef, Afar; Chen, Mei; Wang, Yue; Schl Information Technologies; Schl Information Technologies; Schl Information Technologies; Schl Information TechnologiesAutomatic Nuclei and Cytoplasm Segmentation of Leukocytes with Color and Texture-based Image Enhancement, Proceedings of the 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), vol.N/A, 2016, pp. 935-938
2016Automatic prostate segmentation on MR images with deep network and graph modelFeng, Dagan 'David'; Khadra, Mohamed; Kim, Jinman; Li, Ang; Li, Changyang; Wang, Xiu Ying; Yan, Ke; Yuan, Yuchen; Information Technologies; Medicine; Information Technologies; Information Technologies; Information Technologies; Information Technologies; Information Technologies; Information TechnologiesAutomatic prostate segmentation on MR images with deep network and graph model, Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2016), vol.N/A, 2016, pp. 635-638
2017Automatic Segmentation of Overlapping Cervical Smear Cells based on Local Distinctive Features and Guided Shape DeformationCai, Weidong Tom; Feng, Dagan 'David'; Fulham, Michael; Song, Yang; Tareef, Afaf; Chang, Hang; Chen, Mei; Huang, Heng; Wang, Yue; Information Technologies; Information Technologies; Information Technologies; Information Technologies; Information TechnologiesAutomatic Segmentation of Overlapping Cervical Smear Cells based on Local Distinctive Features and Guided Shape Deformation, Neurocomputing, vol.221, N/A, 2017,pp 94-107
2014Bias Correction for Magnetic Resonance Images via Joint Entropy RegularizationDong, Pei; Feng, Dagan 'David'; Wang, Shanshan; Xia, Yong; Huang, Qiu; Li, Yuanxiang; Luo, Jianhua; Schl Information Technologies; Schl Information Technologies; Schl Information Technologies; Schl Information TechnologiesBias Correction for Magnetic Resonance Images via Joint Entropy Regularization, Bio-Medical Materials and Engineering, vol.24, 1, 2014,pp 1239-1245
2016Bioimage classification with subcategory discriminant transform of high dimensional visual descriptorsCai, Weidong Tom; Feng, Dagan 'David'; Song, Yang; Chen, Mei; Huang, Heng; Wang, Yue; Schl Information Technologies; Schl Information Technologies; Schl Information TechnologiesBioimage classification with subcategory discriminant transform of high dimensional visual descriptors, BMC Bioinformatics, vol.17, 1, 2016,pp 1-15