1.1k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- National Institutes of HealthUS16 papers
- Massachusetts Institute of TechnologyUS8 papers
- Czech Academy of Sciences, Institute of Computer ScienceCZ6 papers
- University of CambridgeGB6 papers
- University of OxfordGB5 papers
- University College LondonGB4 papers
- Bernstein Center for Computational Neuroscience BerlinDE3 papers
- Charité - Universitätsmedizin BerlinDE3 papers
- Columbia UniversityUS3 papers
- Czech Academy of SciencesCZ3 papers
- Georgia Institute of TechnologyUS3 papers
- Harvard UniversityUS3 papers
4 papers · 1 filter
Knowing what you know in brain segmentation using Bayesian deep neural networks
Patrick McClure, Nao Rho, John A. Lee +7
In this paper, we describe a Bayesian deep neural network (DNN) for predicting FreeSurfer segmentations of structural MRI volumes, in minutes rather than hours. The network was tra…
Distributed Weight Consolidation: A Brain Segmentation Case Study
Patrick McClure, Charles Y. Zheng, Jakub R. Kaczmarzyk +5
Collecting the large datasets needed to train deep neural networks can be very difficult, particularly for the many applications for which sharing and pooling data is complicated b…
Causal network discovery by iterative conditioning: comparison of algorithms
Jakub Kořenek, Jaroslav Hlinka
Estimating causal interactions in complex dynamical systems is an important problem encountered in many fields of current science. While a theoretical solution for detecting the ca…
Effect of time of day on reward circuitry. A discussion of Byrne et al. 2017
Adam Steel, Cibu Thomas, Chris I Baker
Byrne and colleagues present a paper on a timely topic with potentially important results. However, we think that issues in the design and analysis complicate the interpretation an…