733 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of North Carolina at Chapel HillUS57 papers
- Duke UniversityUS4 papers
- The University of TokyoJP4 papers
- Applied Physical Sciences (United States)US3 papers
- Carnegie Mellon UniversityUS3 papers
- Centre National de la Recherche ScientifiqueFR3 papers
- Massachusetts Institute of TechnologyUS3 papers
- San Diego State UniversityUS3 papers
- Sorbonne UniversitéFR3 papers
- University of SalzburgAT3 papers
- California Institute of TechnologyUS2 papers
- Cornell UniversityUS2 papers
8 papers · 1 filter
Local Spatiotemporal Representation Learning for Longitudinally-consistent Neuroimage Analysis
Mengwei Ren, Neel Dey, Martin A. Styner +2
Recent self-supervised advances in medical computer vision exploit global and local anatomical self-similarity for pretraining prior to downstream tasks such as segmentation. Howev…
Learning to Retrieve Videos by Asking Questions
Avinash Madasu, Junier Oliva, Gedas Bertasius
The majority of traditional text-to-video retrieval systems operate in static environments, i.e., there is no interaction between the user and the agent beyond the initial textual…
VL-Adapter: Parameter-Efficient Transfer Learning for Vision-and-Language Tasks
Yi-Lin Sung, Jaemin Cho, Mohit Bansal
Recently, fine-tuning language models pre-trained on large text corpora have provided huge improvements on vision-and-language (V&L) tasks as well as on pure language tasks. Howeve…
Anatomical Data Augmentation via Fluid-based Image Registration
Zhengyang Shen, Zhenlin Xu, Sahin Olut +1
We introduce a fluid-based image augmentation method for medical image analysis. In contrast to existing methods, our framework generates anatomically meaningful images via interpo…
VoteNet: A Deep Learning Label Fusion Method for Multi-Atlas Segmentation
Zhipeng Ding, Xu Han, Marc Niethammer
Deep learning (DL) approaches are state-of-the-art for many medical image segmentation tasks. They offer a number of advantages: they can be trained for specific tasks, computation…
Efficient Registration of Pathological Images: A Joint PCA/Image-Reconstruction Approach
Xu Han, Xiao Yang, Stephen Aylward +2
Registration involving one or more images containing pathologies is challenging, as standard image similarity measures and spatial transforms cannot account for common changes due…
Fast Predictive Multimodal Image Registration
Xiao Yang, Roland Kwitt, Martin Styner +1
We introduce a deep encoder-decoder architecture for image deformation prediction from multimodal images. Specifically, we design an image-patch-based deep network that jointly (i)…
Fast Predictive Image Registration
Xiao Yang, Roland Kwitt, Marc Niethammer
We present a method to predict image deformations based on patch-wise image appearance. Specifically, we design a patch-based deep encoder-decoder network which learns the pixel/vo…