| Networks for joint affine and non-parametric image registration Z Shen, X Han, Z Xu, M Niethammer Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 141 | 2019 |
| Region-specific diffeomorphic metric mapping Z Shen, FX Vialard, M Niethammer Advances in Neural Information Processing Systems 32, 2019 | 56 | 2019 |
| Accurate point cloud registration with robust optimal transport Z Shen, J Feydy, P Liu, AH Curiale, R San Jose Estepar, ... Advances in Neural Information Processing Systems 34, 5373-5389, 2021 | 55 | 2021 |
| Learning multi-level features for sensor-based human action recognition Y Xu, Z Shen, X Zhang, Y Gao, S Deng, Y Wang, Y Fan, I Eric, C Chang Pervasive and Mobile Computing 40, 324-338, 2017 | 35 | 2017 |
| End-to-end subtitle detection and recognition for videos in East Asian languages via CNN ensemble Y Xu, S Shan, Z Qiu, Z Jia, Z Shen, Y Wang, M Shi, I Eric, C Chang Signal Processing: Image Communication 60, 131-143, 2018 | 32 | 2018 |
| Parallel multiple instance learning for extremely large histopathology image analysis Y Xu, Y Li, Z Shen, Z Wu, T Gao, Y Fan, M Lai, EIC Chang BMC bioinformatics 18, 1-15, 2017 | 27 | 2017 |
| DADP: dynamic abnormality detection and progression for longitudinal knee magnetic resonance images from the osteoarthritis initiative C Huang, Z Xu, Z Shen, T Luo, T Li, D Nissman, A Nelson, Y Golightly, ... Medical image analysis 77, 102343, 2022 | 19 | 2022 |
| Anatomical data augmentation via fluid-based image registration Z Shen, Z Xu, S Olut, M Niethammer Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 18 | 2020 |
| A deep network for joint registration and reconstruction of images with pathologies X Han, Z Shen, Z Xu, S Bakas, H Akbari, M Bilello, C Davatzikos, ... Machine Learning in Medical Imaging: 11th International Workshop, MLMI 2020 …, 2020 | 17 | 2020 |
| Adversarial data augmentation via deformation statistics S Olut, Z Shen, Z Xu, S Gerber, M Niethammer Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 12 | 2020 |
| Fluid registration between lung CT and stationary chest tomosynthesis images L Tian, C Puett, P Liu, Z Shen, SR Aylward, YZ Lee, M Niethammer Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 6 | 2020 |
| Contextual additive networks to efficiently boost 3D image segmentations Z Xu, Z Shen, M Niethammer Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical …, 2018 | 6 | 2018 |
| Patterns of variation among baseline femoral and tibial cartilage thickness and clinical features: Data from the osteoarthritis initiative TH Keefe, MC Minnig, L Arbeeva, M Niethammer, Z Xu, Z Shen, B Chen, ... Osteoarthritis and Cartilage Open 5 (1), 100334, 2023 | 4 | 2023 |
| Geo-metric: A Perceptual Dataset of Distortions on Faces K Wolski, L Trutoiu, Z Dong, Z Shen, K Mackenzie, A Chapiro ACM Transactions on Graphics (TOG) 41 (6), 1-13, 2022 | 4 | 2022 |
| Spectral graphormer: Spectral graph-based transformer for egocentric two-hand reconstruction using multi-view color images THE Tse, F Mueller, Z Shen, D Tang, T Beeler, M Dou, Y Zhang, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 2 | 2023 |
| Charting Aging Trajectories of Knee Cartilage Thickness for Early Osteoarthritis Risk Prediction: An MRI Study from the Osteoarthritis Initiative Cohort T Li, T Luo, B Chen, C Huang, Z Shen, Z Xu, D Nissman, YM Golightly, ... medRxiv, 2023 | | 2023 |
| Accurate, Fast and Controllable Image and Point Cloud Registration Z Shen The University of North Carolina at Chapel Hill, 2022 | | 2022 |
| Common patterns of variation between femoral and tibial cartilage maps and baseline features from the osteoarthritis initiative T Keefe, L Arbeeva, M Niethammer, Z Xu, Z Shen, D Nissman, ... Osteoarthritis and Cartilage 29, S215-S216, 2021 | | 2021 |
Marc NiethammerProfessor of Computer Science, UNC Chapel HillПодтвержден адрес электронной почты в домене cs.unc.edu
