Dual-sampling attention network for diagnosis of COVID-19 from community acquired pneumonia X Ouyang, J Huo, L Xia, F Shan, J Liu, Z Mo, F Yan, Z Ding, Q Yang, ... IEEE Transactions on Medical Imaging 39 (8), 2595-2605, 2020 | 406 | 2020 |
Large-scale screening to distinguish between COVID-19 and community-acquired pneumonia using infection size-aware classification F Shi, L Xia, F Shan, B Song, D Wu, Y Wei, H Yuan, H Jiang, Y He, Y Gao, ... Physics in medicine & Biology 66 (6), 065031, 2021 | 403 | 2021 |
Diagnosis of coronavirus disease 2019 (COVID-19) with structured latent multi-view representation learning H Kang, L Xia, F Yan, Z Wan, F Shi, H Yuan, H Jiang, D Wu, H Sui, ... IEEE transactions on medical imaging 39 (8), 2606-2614, 2020 | 273 | 2020 |
Adaptive feature selection guided deep forest for covid-19 classification with chest ct L Sun, Z Mo, F Yan, L Xia, F Shan, Z Ding, B Song, W Gao, W Shao, F Shi, ... IEEE Journal of Biomedical and Health Informatics 24 (10), 2798-2805, 2020 | 255 | 2020 |
Multi-scale and multi-parametric radiomics of gadoxetate disodium–enhanced MRI predicts microvascular invasion and outcome in patients with solitary hepatocellular carcinoma≤ 5 cm HH Chong, L Yang, RF Sheng, YL Yu, DJ Wu, SX Rao, C Yang, MS Zeng European Radiology 31, 4824-4838, 2021 | 170 | 2021 |
Stratified learning of local anatomical context for lung nodules in CT images D Wu, L Lu, J Bi, Y Shinagawa, K Boyer, A Krishnan, M Salganicoff 2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010 | 91 | 2010 |
A learning based deformable template matching method for automatic rib centerline extraction and labeling in CT images D Wu, D Liu, Z Puskas, C Lu, A Wimmer, C Tietjen, G Soza, SK Zhou 2012 IEEE Conference on Computer Vision and Pattern Recognition, 980-987, 2012 | 64 | 2012 |
A fully automated rib fracture detection system on chest CT images and its impact on radiologist performance XH Meng, D Wu, Z Wang, XL Ma, XM Dong, AE Liu, L Chen Skeletal Radiology, 1-8, 2021 | 59 | 2021 |
Gaze tracking via eye gaze model D Wu, MJ Conrad, T Burrell, X Miao, Z Liu, Q Cai, Z Zhang US Patent 9,864,430, 2018 | 48 | 2018 |
Segmentation of multiple knee bones from CT for orthopedic knee surgery planning D Wu, M Sofka, N Birkbeck, SK Zhou Medical Image Computing and Computer-Assisted Intervention–MICCAI 2014: 17th …, 2014 | 44 | 2014 |
Texture based prelens tear film segmentation in interferometry images D Wu, KL Boyer, JJ Nichols, PE King-Smith Machine Vision and Applications 21, 253-259, 2010 | 42 | 2010 |
Adaboost on low-rank psd matrices for metric learning J Bi, D Wu, L Lu, M Liu, Y Tao, M Wolf CVPR 2011, 2617-2624, 2011 | 41 | 2011 |
Sign ambiguity resolution for phase demodulation in interferometry with application to prelens tear film analysis D Wu, KL Boyer 2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010 | 40 | 2010 |
Gaze detection offset for gaze tracking models X Miao, MJ Conrad, D Wu US Patent 10,048,749, 2018 | 36 | 2018 |
Semantic Context Forests for Learning-Based Knee Cartilage Segmentation in 3D MR Images Q Wang, D Wu, L Lu, M Liu, KL Boyer, SK Zhou Medical Computer Vision Workshop, MICCAI 2013, 105-115, 2013 | 35 | 2013 |
Eye tracking D Wu, MJ Conrad, CT Chu, GJ Hulten US Patent 9,704,038, 2017 | 33 | 2017 |
A min-max framework of cascaded classifier with multiple instance learning for computer aided diagnosis D Wu, J Bi, K Boyer 2009 IEEE Conference on Computer Vision and Pattern Recognition, 1359-1366, 2009 | 32 | 2009 |
Multi-Level Contextual Learning of Data D Wu, L Lu, J Bi, Y Shinagawa, M Salganicoff, ... US Patent 8,724,866, 2010 | 30* | 2010 |
Computer Aided Diagnosis Using Multilevel Image Features on Large-Scale Evaluation L Lu, P Devarakota, S Vikal, D Wu, Y Zheng, M Wolf Medical Computer Vision Workshop, MICCAI 2013, 2013 | 29 | 2013 |
Resilient Subclass Discriminant Analysis with Application to Prelens Tear Film Interferometry KL Boyer, D Wu Pattern Recognition: Third Mexican Conference, MCPR 2011, Cancun, Mexico …, 2011 | 29 | 2011 |