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Tao Tan
Tao Tan
Senior Scientist GE
Geverifieerd e-mailadres voor ge.com
Titel
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Jaar
Stand-alone artificial intelligence for breast cancer detection in mammography: comparison with 101 radiologists
A Rodriguez-Ruiz, K Lĺng, A Gubern-Merida, M Broeders, G Gennaro, ...
JNCI: Journal of the National Cancer Institute 111 (9), 916-922, 2019
2782019
Denoising of 3D magnetic resonance images with multi-channel residual learning of convolutional neural network
D Jiang, W Dou, L Vosters, X Xu, Y Sun, T Tan
Japanese journal of radiology 36 (9), 566-574, 2018
1442018
Epileptic seizure detection in EEG signals using sparse multiscale radial basis function networks and the Fisher vector approach
Y Li, WG Cui, H Huang, YZ Guo, K Li, T Tan
Knowledge-Based Systems 164, 96-106, 2019
922019
Computer-aided detection of cancer in automated 3-D breast ultrasound
T Tan, B Platel, R Mus, L Tabar, RM Mann, N Karssemeijer
IEEE transactions on medical imaging 32 (9), 1698-1706, 2013
892013
Computer-aided lesion diagnosis in automated 3-D breast ultrasound using coronal spiculation
T Tan, B Platel, H Huisman, CI Sánchez, R Mus, N Karssemeijer
IEEE transactions on medical imaging 31 (5), 1034-1042, 2012
872012
Automated Detection of Cerebral Microbleeds in Patients with Traumatic Brain Injury
BP TLA van den Heuvel, AW van der Eerden, R Manniesing, M Ghafoorian, T Tan ...
NeuroImage: Clinical 12, 241-251, 2016
602016
Dedicated computer-aided detection software for automated 3D breast ultrasound; an efficient tool for the radiologist in supplemental screening of women with dense breasts
JCM van Zelst, T Tan, P Clauser, A Domingo, MD Dorrius, D Drieling, ...
European radiology 28 (7), 2996-3006, 2018
552018
Mass segmentation in automated 3-D breast ultrasound using adaptive region growing and supervised edge-based deformable model
E Kozegar, M Soryani, H Behnam, M Salamati, T Tan
IEEE transactions on medical imaging 37 (4), 918-928, 2017
462017
Improved cancer detection in automated breast ultrasound by radiologists using computer aided detection
JCM Van Zelst, T Tan, B Platel, M De Jong, A Steenbakkers, M Mourits, ...
European journal of radiology 89, 54-59, 2017
452017
Deep learning approach to semantic segmentation in 3d point cloud intra-oral scans of teeth
FG Zanjani, DA Moin, B Verheij, F Claessen, T Cherici, T Tan
International Conference on Medical Imaging with Deep Learning, 557-571, 2019
402019
Retinal artery/vein classification using genetic-search feature selection
F Huang, B Dashtbozorg, T Tan, BM ter Haar Romeny
Computer methods and programs in biomedicine 161, 197-207, 2018
402018
Optimize Transfer Learning for Lung Diseases in Bronchoscopy Using a New Concept: Sequential Fine-Tuning
T Tan, Z Li, H Liu, FG Zanjani, Q Ouyang, Y Tang, Z Hu, Q Li
IEEE Journal of Translational Engineering in Health and Medicine 6, 2018
392018
Computer‐aided detection of breast cancers using Haar‐like features in automated 3D breast ultrasound
T Tan, JJ Mordang, J van Zelst, A Grivegnée, A Gubern‐Mérida, ...
Medical physics 42 (4), 1498-1504, 2015
352015
Deep learning methods for lung cancer segmentation in whole-slide histopathology images—the acdc@ lunghp challenge 2019
Z Li, J Zhang, T Tan, X Teng, X Sun, H Zhao, L Liu, Y Xiao, B Lee, Y Li, ...
IEEE Journal of Biomedical and Health Informatics 25 (2), 429-440, 2020
342020
Breast cancer detection in automated 3D breast ultrasound using iso-contours and cascaded RUSBoosts
E Kozegar, M Soryani, H Behnam, M Salamati, T Tan
Ultrasonics 79, 68-80, 2017
322017
Simultaneous arteriole and venule segmentation with domain-specific loss function on a new public database
X Xu, R Wang, P Lv, B Gao, C Li, Z Tian, T Tan, F Xu
Biomedical optics express 9 (7), 3153-3166, 2018
312018
Evaluation of the effect of computer-aided classification of benign and malignant lesions on reader performance in automated three-dimensional breast ultrasound
T Tan, B Platel, T Twellmann, G van Schie, R Mus, A Grivegnée, ...
Academic radiology 20 (11), 1381-1388, 2013
302013
Prediction of molecular subtypes of breast cancer using BI-RADS features based on a “white box” machine learning approach in a multi-modal imaging setting
M Wu, X Zhong, Q Peng, M Xu, S Huang, J Yuan, J Ma, T Tan
European journal of radiology 114, 175-184, 2019
292019
Multi-modal and multi-vendor retina image registration
Z Li, F Huang, J Zhang, B Dashtbozorg, S Abbasi-Sureshjani, Y Sun, ...
Biomedical optics express 9 (2), 410-422, 2018
282018
Lesion segmentation in ultrasound using semi-pixel-wise cycle generative adversarial nets
J Xing, Z Li, B Wang, Y Qi, B Yu, FG Zanjani, A Zheng, R Duits, T Tan
IEEE/ACM transactions on computational biology and bioinformatics, 2020
252020
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Artikelen 1–20