Zhenlin Xu
Zhenlin Xu
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DeepAtlas: Joint semi-supervised learning of image registration and segmentation
Z Xu, M Niethammer
International Conference on Medical Image Computing and Computer-Assisted …, 2019
Robust and Generalizable Visual Representation Learning via Random Convolutions
Z Xu, D Liu, J Yang, C Raffel, M Niethammer
International Conference on Learning Representations (ICLR), 2021
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
SLIC superpixels for efficient graph-based dimensionality reduction of hyperspectral imagery
X Zhang, SE Chew, Z Xu, ND Cahill
Algorithms and technologies for multispectral, hyperspectral, and …, 2015
Towards fully mobile 3D face, body, and environment capture using only head-worn cameras
YW Cha, T Price, Z Wei, X Lu, N Rewkowski, R Chabra, Z Qin, H Kim, ...
IEEE transactions on visualization and computer graphics 24 (11), 2993-3004, 2018
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
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
iSegFormer: Interactive Segmentation via Transformers with Application to 3D Knee MR Images
Q Liu, Z Xu, Y Jiao, M Niethammer
Medical Image Computing and Computer Assisted Intervention–MICCAI 2022: 25th …, 2022
SimpleClick: Interactive Image Segmentation with Simple Vision Transformers
Q Liu, Z Xu, G Bertasius, M Niethammer
arXiv preprint arXiv:2210.11006, 2022
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
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
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
Compositional Generalization in Unsupervised Compositional Representation Learning: A Study on Disentanglement and Emergent Language
Z Xu, M Niethammer, C Raffel
Advances in Neural Information Processing Systems, 2022, 2022
Accurate and practical method for characterizing Laguerre–Gaussian modes
Z Xu, T Zhu, D Cheng, J Long, Z Huang, R Liu, P Zhang, H Gao, F Li
Applied Optics 53 (8), 1644-1647, 2014
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
3d subject-atlas image registration for micro-computed tomography based characterization of drug delivery in the murine cochlea
Z Xu
Rochester Institute of Technology, 2016
ScaleDet: A scalable multi-dataset object detector
Y Chen, M Wang, A Mittal, Z Xu, P Favaro, J Tighe, D Modolo
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
Improving Dense Contrastive Learning with Dense Negative Pairs
B Iskender, Z Xu, S Kornblith, E Chu, M Khademi
arXiv preprint arXiv:2210.05063, 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
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