Yu Huang

According to our database, Yu Huang authored at least 12 papers between 2012 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Deep Learning Achieves Neuroradiologist-Level Performance in Detecting Hydrocephalus Requiring Treatment.

Yu Huang, Raquel Moreno, Rachna Malani, Alicia Meng, Nathaniel C. Swinburne, Andrei I. Holodny, Ye Choi, Henry Rusinek, James B. Golomb, Ajax George, Lucas C. Parra, Robert J. Young

J. Digit. Imaging, 2022

2021

Comparison of optimized interferential stimulation using two pairs of electrodes and two arrays of electrodes.

Yu Huang, Abhishek Datta

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020

Deep learning achieves radiologist-level performance of tumor segmentation in breast MRI.

Lukas Hirsch, Yu Huang, Shaojun Luo, Carolina Rossi Saccarelli, Roberto Lo Gullo, Isaac Daimiel Naranjo, Almir Galvão Vieira Bitencourt, Natsuko Onishi, Eun Sook Ko, Dortis Leithner, Daly Avendano, Sarah Eskreis-Winkler, Mary Hughes, Danny F. Martinez, Katja Pinker, Krishna Juluru, Amin E. El-Rowmeim, Pierre Elnajjar, Hedvig Hricak, Elizabeth A. Morris, Hernán A. Makse, Lucas C. Parra, Elizabeth J. Sutton

CoRR, 2020

2019

Tissue segmentation with deep 3D networks and spatial priors.

Lukas Hirsch, Yu Huang, Lucas C. Parra

CoRR, 2019

High-resolution head model of transcranial direct current stimulation: A labeling analysis.

Chris Thomas, Yu Huang, Paula Cristina Faria, Abhishek Datta

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Optimized Transcutaneous Spinal Cord Direct Current Stimulation using Multiple Electrodes from 3/9/7 System.

Yu Huang, Chris Thomas, Abhishek Datta

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018

Optimized tDCS for Targeting Multiple Brain Regions: An Integrated Implementation.

Yu Huang, Chris Thomas, Abhishek Datta, Lucas C. Parra

Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

ROAST: An Open-Source, Fully-Automated, Realistic Volumetric-Approach-Based Simulator For TES.

Yu Huang, Abhishek Datta, Marom Bikson, Lucas C. Parra

Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

Exploration of the Effect of Race on Cortical Current Flow Due to Transcranial Direct Current Stimulation: Comparison across Caucasian, Chinese, and Indian Standard Brains.

Abhishek Datta, Chris Thomas, Yu Huang, Ganesan Venkatasubramanian

Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

2016

The New York Head - A precise standardized volume conductor model for EEG source localization and tES targeting.

Yu Huang, Lucas C. Parra, Stefan Haufe

NeuroImage, 2016

2013

Targeted transcranial direct current stimulation for rehabilitation after stroke.

Jacek P. Dmochowski, Abhishek Datta, Yu Huang, Jessica D. Richardson, Marom Bikson, Julius Fridriksson, Lucas C. Parra

NeuroImage, 2013

2012

An automated method for high-definition transcranial direct current stimulation modeling.

Yu Huang, Yuzhuo Su, Christopher Rorden, Jacek Dmochowski, Abhishek Datta, Lucas C. Parra

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012