| 3D segmentation with exponential logarithmic loss for highly unbalanced object sizes KCL Wong, M Moradi, H Tang, T Syeda-Mahmood Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018 | 200 | 2018 |
| Automatic segmentation, detection and quantification of coronary artery stenoses on CTA R Shahzad, H Kirişli, C Metz, H Tang, M Schaap, L van Vliet, W Niessen, ... The international journal of cardiovascular imaging 29, 1847-1859, 2013 | 93 | 2013 |
| Shape-aware organ segmentation by predicting signed distance maps Y Xue, H Tang, Z Qiao, G Gong, Y Yin, Z Qian, C Huang, W Fan, X Huang Proceedings of the AAAI Conference on Artificial Intelligence 34 (07), 12565 …, 2020 | 86 | 2020 |
| Semiautomatic carotid lumen segmentation for quantification of lumen geometry in multispectral MRI H Tang, T van Walsum, RS van Onkelen, R Hameeteman, S Klein, ... Medical image analysis 16 (6), 1202-1215, 2012 | 62 | 2012 |
| Change in carotid intraplaque hemorrhage in community-dwelling subjects: a follow-up study using serial MR imaging QJA Van Den Bouwhuijsen, M Selwaness, H Tang, WJ Niessen, ... Radiology 282 (2), 526-533, 2017 | 25 | 2017 |
| Automatic Detection, Quantification and Lumen Segmentation of the Coronary Arteries using a Two Point Centerline Extraction Scheme. WN Rahil Sharzard, Theo van Walsum, Hortense Kirisli 3D Cardiovascular Imaging: A MICCAI segmentation challenge: MICCAI 2012 …, 2012 | 23* | 2012 |
| A semi-automatic method for segmentation of the carotid bifurcation and bifurcation angle quantification on Black Blood MRA H Tang, R van Onkelen, T van Walsum, R Hameeteman, M Schaap, F Tori, ... Medical Image Computing and Computer-Assisted Intervention–MICCAI 2010, 97-104, 2010 | 20 | 2010 |
| Lumen segmentation and stenosis quantification of atherosclerotic carotid arteries in CTA utilizing a centerline intensity prior H Tang, T van Walsum, R Hameeteman, R Shahzad, LJ van Vliet, ... Medical physics 40 (5), 051721, 2013 | 18 | 2013 |
| Automatic stenoses detection, quantification and lumen segmentation of the coronary arteries using a two point centerline extraction scheme R Shahzad, T van Walsum, H Kirisli, H Tang, C Metz, M Schaap, ... MICCAI 2012 workshop proceedings, 2012 | 18 | 2012 |
| Fully automatic deep learning trained on limited data for carotid artery segmentation from large image volumes T Zhou, T Tan, X Pan, H Tang, J Li Quantitative Imaging in Medicine and Surgery 11 (1), 67, 2021 | 16 | 2021 |
| Tumor Segmentation from Single Contrast MR Images of Human Brain H Tang, H Lu, W Liu, X Tao IEEE International Symposium on Biomedical Imaging, 2015 | 16 | 2015 |
| Tagan: Tonality-alignment generative adversarial networks for realistic hand pose synthesis L Chen, SY Lin, Y Xie, H Tang, Y Xue, YY Lin, X Xie, W Fan BMVC, 2019 | 15 | 2019 |
| Object-guided instance segmentation for biological images J Yi, H Tang, P Wu, B Liu, DJ Hoeppner, DN Metaxas, L Han, W Fan Proceedings of the AAAI Conference on Artificial Intelligence 34 (07), 12677 …, 2020 | 14 | 2020 |
| Carotid artery wall segmentation by coupled surface graph cuts A Arias, J Petersen, A van Engelen, H Tang, M Selwaness, JCM Witteman, ... Medical Computer Vision. Recognition Techniques and Applications in Medical …, 2013 | 14 | 2013 |
| Generating realistic training images based on tonality-alignment generative adversarial networks for hand pose estimation L Chen, SY Lin, Y Xie, H Tang, Y Xue, X Xie, YY Lin, W Fan arXiv preprint arXiv:1811.09916, 2018 | 13 | 2018 |
| Joint intensity‐and‐point based registration of free‐hand B‐mode ultrasound and MRI of the carotid artery DDB Carvalho, S Klein, Z Akkus, AC Van Dijk, H Tang, M Selwaness, ... Medical physics 41 (5), 052904, 2014 | 13 | 2014 |
| Towards uncovering the intrinsic data structures for unsupervised domain adaptation using structurally regularized deep clustering H Tang, X Zhu, K Chen, K Jia, CLP Chen IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (10), 6517 …, 2021 | 11 | 2021 |
| Fast anatomy segmentation by combining coarse scale multi-atlas label fusion with fine scale corrective learning H Wang, D Kakrania, H Tang, P Prasanna, T Syeda-Mahmood Computerized Medical Imaging and Graphics 68, 16-24, 2018 | 11 | 2018 |
| Partly supervised multi-task learning C Huang, H Tang, W Fan, Y Xiao, D Hao, Z Qian, D Terzopoulos 2020 19th IEEE International Conference on Machine Learning and Applications …, 2020 | 10 | 2020 |
| Hashing-based atlas ranking and selection for multiple-atlas segmentation A Katouzian, H Wang, S Conjeti, H Tang, E Dehghan, A Karargyris, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018 | 10 | 2018 |
Wiro NiessenProfessor in Biomedical Image Analysis, Erasmus MC/TU DelftVerified email at erasmusmc.nl
