Zhenlin Xu
Zhenlin Xu
Bestätigte E-Mail-Adresse bei - Startseite
Zitiert von
Zitiert von
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
DeepAtlas: Joint semi-supervised learning of image registration and segmentation
Z Xu, M Niethammer
MICCAI 2019, 420-429, 2019
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
Simpleclick: Interactive image segmentation with simple vision transformers
Q Liu, Z Xu, G Bertasius, M Niethammer
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
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
iSegFormer: interactive segmentation via transformers with application to 3D knee MR images
Q Liu, Z Xu, Y Jiao, M Niethammer
International Conference on Medical Image Computing and Computer-Assisted …, 2022
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
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
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
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
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
Adversarial data augmentation via deformation statistics
S Olut, Z Shen, Z Xu, S Gerber, M Niethammer
ECCV 2020, 643-659, 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
Benchmarking Zero-Shot Recognition with Vision-Language Models: Challenges on Granularity and Specificity
Z Xu, Y Zhu, T Deng, A Mittal, Y Chen, M Wang, P Favaro, J Tighe, ...
arXiv preprint arXiv:2306.16048, 2023
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
Improving dense contrastive learning with dense negative pairs
B Iskender, Z Xu, S Kornblith, EH Chu, M Khademi
arXiv preprint arXiv:2210.05063, 2022
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
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
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–20