Lindsey Kitchell
Neuroscience · Indiana University
Publications
27
Citations
542
Est. group size
—
Recurring co-author estimate
Active years
15
Publishing since 2011
Lindsey Kitchell works in neuroscience with a strong focus on connectomics\brbrain-imaging analysis\u2014mapping the wiring of the brain from imaging data such as MRI and electron microscopy. A recurring theme is building computational tools and machine-learning methods (including artificial neural networks) to process large neuroimaging datasets, extract features, and predict things like brain connectivity or age. Earlier work also touched on 3D imaging techniques applied to anthropology and archaeology.
Publication activity has been steady over the past decade, averaging around 2-4 papers per year with no clear increase or decline.
Generated by claude-opus-4-8 from public bibliographic data · Jul 11, 2026
- Functional connectomics spanning multiple areas of mouse visual cortex
Nature · 2025
- NEURD offers automated proofreading and feature extraction for connectomics
Nature · 2025
- Optimizing Artificial Neural Network Models to Predict Brain-Age from Functional MRI
bioRxiv (Cold Spring Harbor Laboratory) · 2025
- Local graph-motif features improve gene interaction network prediction
bioRxiv (Cold Spring Harbor Laboratory) · 2025
- Pre-Training for Large-Scale Functional Connectome Fingerprinting Supports Generalization and Transfer Learning in Functional Neuroimaging
bioRxiv (Cold Spring Harbor Laboratory) · 2024
- NEURD offers automated proofreading and feature extraction for connectomics
bioRxiv (Cold Spring Harbor Laboratory) · 2023
- A Novel Semi-automated Proofreading and Mesh Error Detection Pipeline for Neuron Extension
bioRxiv (Cold Spring Harbor Laboratory) · 2023
- Exploiting Large Neuroimaging Datasets to Create Connectome-Constrained Approaches for more Robust, Efficient, and Adaptable Artificial Intelligence
arXiv (Cornell University) · 2023
- Exploiting large neuroimaging datasets to create connectome-constrained approaches for more robust, efficient, and adaptable artificial intelligence
2023
- NeuVue: A scalable and customizable framework for electron microscopy proofreading
bioRxiv (Cold Spring Harbor Laboratory) · 2022
- Multi-Scale Modeling of Neural Structure in X-Ray Imagery
2021
- Mine Your Own vieW: Self-Supervised Learning Through Across-Sample Prediction
arXiv (Cornell University) · 2021
- Mine Your Own vieW: Self-Supervised Learning Through Across-Sample\n Prediction
arXiv (Cornell University) · 2021
- Associative white matter connecting the dorsal and ventral posterior human cortex
Brain Structure and Function · 2019
- Associative white matter connecting the dorsal and ventral posterior human cortex
2019
- bioRxiv (Cold Spring Harbor Laboratory)×7
- arXiv (Cornell University)×3
- Nature×2
- Scientific Data×2
- Nature Methods×2
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 11, 2026.
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