390 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Universidade Estadual de Campinas (UNICAMP)BR3 papers
- Universidade Federal do ParanáBR3 papers
- Alberta Machine Intelligence InstituteCA2 papers
- American College of RadiologyUS2 papers
- Aminu Kano Teaching HospitalNG2 papers
- Athinoula A. Martinos Center for Biomedical ImagingUS2 papers
- Baylor College of MedicineUS2 papers
- Brigham and Women's HospitalUS2 papers
- Case Western Reserve UniversityUS2 papers
- Centre Hospitalier Universitaire de SherbrookeCA2 papers
- Chinese University of Hong KongHK2 papers
- Christiana Care Health SystemUS2 papers
4 papers
Recursive Class Connectivity Classification (R3C) Applied to Binary Image Segmentation for Improved Infant Fingerprint Enhancement
Joao Leonardo Harres Dall Agnol, Luiz Fernando Puttow Southier, Jefferson Tales 0liva +5
Image enhancement plays a crucial role in infant fingerprint matching, as child-specific characteristics such as smaller finger dimensions and thinner ridge structures often degrad…
Building Brain Tumor Segmentation Networks with User-Assisted Filter Estimation and Selection
Matheus A. Cerqueira, Flávia Sprenger, Bernardo C. A. Teixeira +1
Brain tumor image segmentation is a challenging research topic in which deep-learning models have presented the best results. However, the traditional way of training those models…
Federated Learning Enables Big Data for Rare Cancer Boundary Detection
Sarthak Pati, Ujjwal Baid, Brandon Edwards +276
Although machine learning (ML) has shown promise in numerous domains, there are concerns about generalizability to out-of-sample data. This is currently addressed by centrally shar…
The Federated Tumor Segmentation (FeTS) Challenge
Sarthak Pati, Ujjwal Baid, Maximilian Zenk +29
This manuscript describes the first challenge on Federated Learning, namely the Federated Tumor Segmentation (FeTS) challenge 2021. International challenges have become the standar…