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ORCIDYu Huang 0014
Person information
- affiliation: Soterix Medical Inc., New York, NY, USA
- affiliation: City College of New York, Department of Biomedical Engineering, New York, NY, USA
Other persons with the same name
- Yu Huang — disambiguation page
- Yu Huang 0001 — Tsinghua University, Department of Computer Science and Technology, China
- Yu Huang 0002
![[0000-0001-8921-036X]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-8921-036X")
— Nanjing University, Department of Computer Science and Technology, China - Yu Huang 0003 — University of Southern California Los Angeles
- Yu Huang 0004 — Peking University, National Engineering Research Center for Software Engineering, Beijing, China
- Yu Huang 0005 — Mentor Graphics Corporation, Wilsonville, OR, USA (and 1 more)
- Yu Huang 0006 — Sun Yat-Sen University, Department of Mathematics, Guangzhou, China
- Yu Huang 0007 — Samsung Electronics, Ridgefield Park, NJ, USA (and 2 more)
- Yu Huang 0008 — Arizona State University
- Yu Huang 0009 — University of Ulster, School of Computing and Mathematics, Jordanstown, UK (and 1 more)
- Yu Huang 0010 — Hunan University, School of Physics and Electronics, Changsha, China (and 1 more)
- Yu Huang 0011 — Southeast University, School of Electrical Engineering, Nanjing, China
- Yu Huang 0012 — Guangzhou University, China (and 1 more)
- Yu Huang 0013 — Huazhong University of Science and Technology, School of Computer Science and Technology, Wuhan, China
- Yu Huang 0015 — University of Michigan, Ann Arbor, MI, USA (and 1 more)
- Yu Huang 0016 — Beijing University of Posts and Telecommunications, Key Laboratory of Universal Wireless Communications, Beijing, China
- Yu Huang 0017 — Seagate Technology, MN, USA (and 1 more)
- Yu Huang 0018 — University of Florida, FL, USA (and 1 more)
- Yu Huang 0019 — McMaster University, Hamilton, Ontario, Canada
- Yu Huang 0020 — Vanderbilt University, Nashville, TN, USA
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Journal Articles
- 2022
[j3]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:
Deep Learning Achieves Neuroradiologist-Level Performance in Detecting Hydrocephalus Requiring Treatment. J. Digit. Imaging 35(6): 1662-1672 (2022)- 2016
- [j2]Yu Huang, Lucas C. Parra, Stefan Haufe:
The New York Head - A precise standardized volume conductor model for EEG source localization and tES targeting. NeuroImage 140: 150-162 (2016) - 2013
- [j1]Jacek P. Dmochowski, Abhishek Datta, Yu Huang, Jessica D. Richardson, Marom Bikson, Julius Fridriksson, Lucas C. Parra:
Targeted transcranial direct current stimulation for rehabilitation after stroke. NeuroImage 75: 12-19 (2013)
Conference and Workshop Papers
- 2021
- [c7]Yu Huang, Abhishek Datta:
Comparison of optimized interferential stimulation using two pairs of electrodes and two arrays of electrodes. EMBC 2021: 4180-4183 - 2019
- [c6]Yu Huang, Chris Thomas, Abhishek Datta:
Optimized Transcutaneous Spinal Cord Direct Current Stimulation using Multiple Electrodes from 3/9/7 System. EMBC 2019: 6290-6293 - [c5]Chris Thomas, Yu Huang, Paula Cristina Faria, Abhishek Datta:
High-resolution head model of transcranial direct current stimulation: A labeling analysis. EMBC 2019: 6442-6445 - 2018
- [c4]Abhishek Datta, Chris Thomas, Yu Huang, Ganesan Venkatasubramanian:
Exploration of the Effect of Race on Cortical Current Flow Due to Transcranial Direct Current Stimulation: Comparison across Caucasian, Chinese, and Indian Standard Brains. EMBC 2018: 2341-2344 - [c3]Yu Huang, Abhishek Datta, Marom Bikson, Lucas C. Parra:
ROAST: An Open-Source, Fully-Automated, Realistic Volumetric-Approach-Based Simulator For TES. EMBC 2018: 3072-3075 - [c2]Yu Huang, Chris Thomas, Abhishek Datta, Lucas C. Parra:
Optimized tDCS for Targeting Multiple Brain Regions: An Integrated Implementation. EMBC 2018: 3545-3548 - 2012
- [c1]Yu Huang, Yuzhuo Su, Christopher Rorden, Jacek Dmochowski, Abhishek Datta, Lucas C. Parra:
An automated method for high-definition transcranial direct current stimulation modeling. EMBC 2012: 5376-5379
Informal and Other Publications
- 2020
- [i2]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:
Deep learning achieves radiologist-level performance of tumor segmentation in breast MRI. CoRR abs/2009.09827 (2020) - 2019
- [i1]Lukas Hirsch, Yu Huang, Lucas C. Parra:
Tissue segmentation with deep 3D networks and spatial priors. CoRR abs/1905.10010 (2019)
Coauthor Index
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