| Stand-alone artificial intelligence for breast cancer detection in mammography: comparison with 101 radiologists A Rodriguez-Ruiz, K Lång, A Gubern-Merida, M Broeders, G Gennaro, ... JNCI: Journal of the National Cancer Institute 111 (9), 916-922, 2019 | 663 | 2019 |
| 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, 566-574, 2018 | 237 | 2018 |
| 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 | 139 | 2019 |
| 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 | 133 | 2020 |
| 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 | 117 | 2013 |
| 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 | 110 | 2012 |
| 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 | 93 | 2016 |
| 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 | 88 | 2019 |
| 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 | 82 | 2018 |
| 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, 2996-3006, 2018 | 79 | 2018 |
| 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 | 72 | 2017 |
| 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 | 62 | 2017 |
| 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 | 55 | 2018 |
| Computer aided detection in automated 3-D breast ultrasound images: a survey E Kozegar, M Soryani, H Behnam, M Salamati, T Tan Artificial Intelligence Review 53 (3), 1919-1941, 2020 | 54 | 2020 |
| 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 | 53 | 2018 |
| 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 18 (6 …, 2020 | 50 | 2020 |
| 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 | 50 | 2019 |
| TransMRSR: transformer-based self-distilled generative prior for brain MRI super-resolution S Huang, X Liu, T Tan, M Hu, X Wei, T Chen, B Sheng The Visual Computer 39 (8), 3647-3659, 2023 | 45 | 2023 |
| 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 | 45 | 2015 |
| Computer-aided diagnosis of lung carcinoma using deep learning-a pilot study Z Li, Z Hu, J Xu, T Tan, H Chen, Z Duan, P Liu, J Tang, G Cai, Q Ouyang, ... arXiv preprint arXiv:1803.05471, 2018 | 44 | 2018 |
Ritse MannBreast and Interventional Radiologist, RadboudumcEmail verificata su radboudumc.nl