Machine learning on brain MRI data for differential diagnosis of Parkinson's disease and Progressive Supranuclear Palsy.

By C. Salvatore, Antonio Cerasa, Isabella Castiglioni, F. Gallivanone, A. Augimeri, M. Lopez, G. Arabia, M. Morelli, M. Gilardi, Aldo Quattrone. 2014

264 citations recorded by the source corpus.

Subfields: Neurology, Physiology

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Been Kim
2. James Wexler
3. Martin Wattenberg
4. Carrie J. Cai
5. Fernanda B. Viégas
6. Justin Gilmer
7. Wojciech Samek
8. Giulia Vilone

Citations in the corpus

• Interpretability Beyond Feature Attribution: Quantitative Testing with Concept Activation Vectors (TCAV) (2017, background): “This natural, expected property may be beneficially used to make fine-grained distinctions since relative comparisons between related concepts are a good interpretative tool (Kim et al., 2015; Doshi-Velez et al., 2015; Tibshirani, 1994; Salvatore et al., 2014).”