16 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of Wisconsin–MadisonUS6 papers
- University of Wisconsin HealthUS2 papers
- Agency for Science, Technology and ResearchSG1 paper
- Alberta Children's HospitalCA1 paper
- Alberta Machine Intelligence InstituteCA1 paper
- American College of RadiologyUS1 paper
- Aminu Kano Teaching HospitalNG1 paper
- Artificial Intelligence in Medicine (Canada)CA1 paper
- Athinoula A. Martinos Center for Biomedical ImagingUS1 paper
- Baylor College of MedicineUS1 paper
- Beihang UniversityCN1 paper
- Beijing Academy of Artificial IntelligenceCN1 paper
6 papers
Association of neighborhood disadvantage with cognitive function and cortical disorganization in an unimpaired cohort
Apoorva Safai, Erin Jonaitis, Rebecca E Langhough +6
Neighborhood disadvantage is associated with worse health and cognitive outcomes. Morphological similarity network (MSN) is a promising approach to elucidate cortical network patte…
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…
MixTwice: large-scale hypothesis testing for peptide arrays by variance mixing
Zihao Zheng, Aisha M. Mergaert, Irene M. Ong +2
Peptide microarrays have emerged as a powerful technology in immunoproteomics as they provide a tool to measure the abundance of different antibodies in patient serum samples. The…
Online Graph Completion: Multivariate Signal Recovery in Computer Vision
Won Hwa Kim, Mona Jalal, Seongjae Hwang +2
The adoption of "human-in-the-loop" paradigms in computer vision and machine learning is leading to various applications where the actual data acquisition (e.g., human supervision)…
Accelerating Permutation Testing in Voxel-wise Analysis through Subspace Tracking: A new plugin for SnPM
Felipe Gutierrez-Barragan, Vamsi K. Ithapu, Chris Hinrichs +5
Permutation testing is a non-parametric method for obtaining the max null distribution used to compute corrected -values that provide strong control of false positives. In neuro…
Speeding up Permutation Testing in Neuroimaging
Chris Hinrichs, Vamsi K Ithapu, Qinyuan Sun +2
Multiple hypothesis testing is a significant problem in nearly all neuroimaging studies. In order to correct for this phenomena, we require a reliable estimate of the Family-Wise E…