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Satrajit S. Ghosh

Researcher at Harvard University

Publications -  189
Citations -  14959

Satrajit S. Ghosh is an academic researcher from Harvard University. The author has contributed to research in topics: Computer science & Neuroimaging. The author has an hindex of 44, co-authored 175 publications receiving 10291 citations. Previous affiliations of Satrajit S. Ghosh include Boston University & Massachusetts Institute of Technology.

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Brainhack: a collaborative workshop for the open neuroscience community.

R. Cameron Craddock, +53 more
- 31 Mar 2016 - 
TL;DR: Brainhack as mentioned in this paper is an open neuroscience community that offers a novel workshop format with participant-generated content that caters to the rapidly growing open neuroscience research community, including components from hackathons and unconferences, as well as parallel educational sessions.
Proceedings ArticleDOI

Segment-dependent dynamics in predicting parkinson's disease.

TL;DR: A novel set of acoustic speech biomarkers reflecting the segment dependence of changes in speech production components, motivated by disturbances in underlying neural motor, articulatory, and prosodic brain centers of speech are introduced and fused with conventional features for predicting clinical assessment of Parkinson’s disease.
Journal ArticleDOI

Knowing What You Know in Brain Segmentation Using Bayesian Deep Neural Networks.

TL;DR: It is demonstrated that the prediction uncertainty of this network at each voxel is a good indicator of whether the network has made an error and that the uncertainty across the whole brain can predict the manual quality control ratings of a scan.
Journal ArticleDOI

Instrumentation bias in the use and evaluation of scientific software: recommendations for reproducible practices in the computational sciences

TL;DR: A preliminary set of guidelines that seek to minimize bias are proposed that are relevant for other application areas in biologically-focused computational image analysis, and for reproducible computational science in general.

A Model of Cortical and Cerebellar Function in Speech

TL;DR: A neural model of speech acquisition and production that accounts for a wide range of experimental data and provides a basis for interpreting the functional effects of neurological damage is described.