Anisha Keshavan

This paper develops brain charts for people with multiple sclerosis to account for age, sex, and imaging variability, providing interpretable centile estimates of brain volume changes.

The paper introduces MindLogger, an open-source platform for creating mobile mental health assessments and interventions, demonstrating its use in a large-scale study.

QSIPrep is a software platform for preprocessing diffusion MRI data that supports multiple sampling schemes and ensures reproducibility through standardized workflows and quality measures.

The paper combines citizen science and deep learning to scale expert decision making in neuroimaging by amplifying labels and training models to emulate expert quality control.

AFQ-Browser provides a browser-based tool for visualizing diffusion MRI data to enhance reproducibility and data sharing in human neuroscience research.

Mindcontrol is a web application that enables collaborative quality control of neuroimaging data through visualization, annotation, and integration with datasets.

This paper introduces BIDS Apps, a framework for creating portable neuroimaging analysis tools compatible with BIDS data, improving reproducibility and ease of use.

Open source Mindboggle pipeline extracts cortical folds, sulci and fundi and computes diverse shape measures, yielding normative morphometry for 101 manually labeled healthy human brains.

The paper examines genetic differentiation in malaria mosquitoes due to urbanization, finding genetic subdivision and selection signatures related to xenobiotic resistance in urban populations.