Publications by authors named "Daniel Xenes"

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Using BossDB Tools to Access, Visualize, and Share Volumetric Neuroscience Data.
Hannah Martinez, Nicole Guittari, Timothy Gion, Robert Hider, Erik C Johnson, Daniel Xenes

Curr Protoc· October 2025

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InterpolAI: deep learning-based optical flow interpolation and restoration of biomedical images for improved 3D tissue mapping.
Saurabh Joshi, André Forjaz, Kyu Sang Han, Yu Shen, Vasco Queiroga, Daniel Xenes

Nat Methods· July 2025

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SmartEM: machine-learning guided electron microscopy.
Yaron Meirovitch, Ishaan Singh Chandok, Core Francisco Park, Pavel Potocek, Lu Mi, Daniel Xenes

bioRxiv· May 2025

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CAVE: Connectome Annotation Versioning Engine.
Sven Dorkenwald, Casey M Schneider-Mizell, Derrick Brittain, Akhilesh Halageri, Chris Jordan, Daniel Xenes

Nat Methods· May 2025

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NEURD offers automated proofreading and feature extraction for connectomics.
Brendan Celii, Stelios Papadopoulos, Zhuokun Ding, Paul G Fahey, Eric Wang, Daniel Xenes

Nature· April 2025

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NEURD offers automated proofreading and feature extraction for connectomics.
Brendan Celii, Stelios Papadopoulos, Zhuokun Ding, Paul G Fahey, Eric Wang, Daniel Xenes

bioRxiv· September 2024

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Generative interpolation and restoration of images using deep learning for improved 3D tissue mapping.
Saurabh Joshi, André Forjaz, Kyu Sang Han, Yu Shen, Vasco Queiroga, Daniel Xenes

bioRxiv· March 2024

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A Novel Semi-automated Proofreading and Mesh Error Detection Pipeline for Neuron Extension.
Justin Joyce, Rupasri Chalavadi, Joey Chan, Sheel Tanna, Daniel Xenes

bioRxiv· October 2023

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CAVE: Connectome Annotation Versioning Engine.
Sven Dorkenwald, Casey M Schneider-Mizell, Derrick Brittain, Akhilesh Halageri, Chris Jordan, Daniel Xenes

bioRxiv· July 2023

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Using machine learning on clinical data to identify unexpected patterns in groups of COVID-19 patients.
Hannah Paris Cowley, Michael S Robinette, Jordan K Matelsky, Daniel Xenes, Aparajita Kashyap

Sci Rep· February 2023

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The Brain Observatory Storage Service and Database (BossDB): A Cloud-Native Approach for Petascale Neuroscience Discovery.
Robert Hider, Dean Kleissas, Timothy Gion, Daniel Xenes, Jordan Matelsky

Front Neuroinform· February 2022

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An Integrated Toolkit for Extensible and Reproducible Neuroscience.
Jordan K Matelsky, Luis M Rodriguez, Daniel Xenes, Timothy Gion, Robert Hider

Annu Int Conf IEEE Eng Med Biol Soc· November 2021

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