1.4k citations · 2.7k across the 35 of their papers we have counts for
8 papers · 2 filters
Structure-Preserving Instance Segmentation via Skeleton-Aware Distance Transform
Zudi Lin, Donglai Wei, Aarush Gupta +3
Objects with complex structures pose significant challenges to existing instance segmentation methods that rely on boundary or affinity maps, which are vulnerable to small errors a…
S-TTA: Scale-Style Selection for Test-Time Augmentation in Biomedical Image Segmentation
Kangxian Xie, Siyu Huang, Sebastian Andres Cajas Ordonez +2
Deep-learning models have been successful in biomedical image segmentation. To generalize for real-world deployment, test-time augmentation (TTA) methods are often used to transfor…
Efficient Anatomical Labeling of Pulmonary Tree Structures via Deep Point-Graph Representation-based Implicit Fields
Kangxian Xie, Jiancheng Yang, Donglai Wei +2
Pulmonary diseases rank prominently among the principal causes of death worldwide. Curing them will require, among other things, a better understanding of the complex 3D tree-shape…
CLIPTrans: Transferring Visual Knowledge with Pre-trained Models for Multimodal Machine Translation
Devaansh Gupta, Siddhant Kharbanda, Jiawei Zhou +3
There has been a growing interest in developing multimodal machine translation (MMT) systems that enhance neural machine translation (NMT) with visual knowledge. This problem setup…
Domain-Scalable Unpaired Image Translation via Latent Space Anchoring
Siyu Huang, Jie An, Donglai Wei +3
Unpaired image-to-image translation (UNIT) aims to map images between two visual domains without paired training data. However, given a UNIT model trained on certain domains, it is…
Why is the winner the best?
Matthias Eisenmann, Annika Reinke, Vivienn Weru +122
International benchmarking competitions have become fundamental for the comparative performance assessment of image analysis methods. However, little attention has been given to in…
The XPRESS Challenge: Xray Projectomic Reconstruction -- Extracting Segmentation with Skeletons
Tri Nguyen, Mukul Narwani, Mark Larson +9
The wiring and connectivity of neurons form a structural basis for the function of the nervous system. Advances in volume electron microscopy (EM) and image segmentation have enabl…
An Out-of-Domain Synapse Detection Challenge for Microwasp Brain Connectomes
Jingpeng Wu, Yicong Li, Nishika Gupta +6
The size of image stacks in connectomics studies now reaches the terabyte and often petabyte scales with a great diversity of appearance across brain regions and samples. However,…