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ORCIDNicholas J. Cecchi
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2020 – today
- 2024
[j3]Xianghao Zhan
, Yuzhe Liu, Nicholas J. Cecchi, Olivier Gevaert, Michael M. Zeineh, Gerald A. Grant, David B. Camarillo:
Brain Deformation Estimation With Transfer Learning for Head Impact Datasets Across Impact Types. IEEE Trans. Biomed. Eng. 71(6): 1853-1863 (2024)- [j2]Xianghao Zhan, Yuzhe Liu, Nicholas J. Cecchi, Ashlyn A. Callan, Enora Le Flao, Olivier Gevaert, Michael M. Zeineh, Gerald A. Grant, David B. Camarillo:
AI-Based Denoising of Head Impact Kinematics Measurements With Convolutional Neural Network for Traumatic Brain Injury Prediction. IEEE Trans. Biomed. Eng. 71(9): 2759-2770 (2024) - [i9]Xianghao Zhan, Yuzhe Liu, Nicholas J. Cecchi, Jessica Towns, Ashlyn A. Callan, Olivier Gevaert, Michael M. Zeineh, David B. Camarillo:
Identification of head impact locations, speeds, and force based on head kinematics. CoRR abs/2409.08177 (2024) - 2023
- [i8]Xianghao Zhan, Jiawei Sun, Yuzhe Liu, Nicholas J. Cecchi, Enora Le Flao, Olivier Gevaert, Michael M. Zeineh, David B. Camarillo:
Toward more accurate and generalizable brain deformation estimators for traumatic brain injury detection with unsupervised domain adaptation. CoRR abs/2306.05255 (2023) - 2022
- [j1]Xianghao Zhan, Yuzhe Liu, Nicholas J. Cecchi, Olivier Gevaert, Michael M. Zeineh, Gerald A. Grant, David B. Camarillo:
Finding the Spatial Co-Variation of Brain Deformation With Principal Component Analysis. IEEE Trans. Biomed. Eng. 69(10): 3205-3215 (2022) - [i7]Xianghao Zhan, Yuzhe Liu, Nicholas J. Cecchi, Ashlyn A. Callan, Enora Le Flao, Olivier Gevaert, Michael M. Zeineh, Gerald A. Grant, David B. Camarillo:
Denoising instrumented mouthguard measurements of head impact kinematics with a convolutional neural network. CoRR abs/2212.09832 (2022) - 2021
- [i6]Xianghao Zhan, Yiheng Li, Yuzhe Liu, August G. Domel, Hossein Vahid Alizadeh, Zhou Zhou, Nicholas J. Cecchi, Stephen Tiernan, Jesse Ruan, Saeed Barbat, Olivier Gevaert, Michael Zeineh, Gerald A. Grant, David B. Camarillo:
Predictive Factors of Kinematics in Traumatic Brain Injury from Head Impacts Based on Statistical Interpretation. CoRR abs/2102.05020 (2021) - [i5]Xianghao Zhan, Yiheng Li, Yuzhe Liu, Nicholas J. Cecchi, Samuel J. Raymond, Zhou Zhou, Hossein Vahid Alizadeh, Jesse Ruan, Saeed Barbat, Stephen Tiernan, Olivier Gevaert, Michael M. Zeineh, Gerald A. Grant, David B. Camarillo:
Classification of head impacts based on the spectral density of measurable kinematics. CoRR abs/2104.09082 (2021) - [i4]Xianghao Zhan, Yiheng Li, Yuzhe Liu, Nicholas J. Cecchi, Olivier Gevaert, Michael M. Zeineh, Gerald A. Grant, David B. Camarillo:
Kinematics clustering enables head impact subtyping for better traumatic brain injury prediction. CoRR abs/2108.03498 (2021) - [i3]Samuel J. Raymond, Nicholas J. Cecchi, Hossein Vahid Alizadeh, Ashlyn A. Callan, Eli Rice, Yuzhe Liu, Zhou Zhou, Michael Zeineh, David B. Camarillo:
Physics-informed machine learning improves detection of head impacts. CoRR abs/2108.08797 (2021) - [i2]Xianghao Zhan, Yuzhe Liu, Nicholas J. Cecchi, Olivier Gevaert, Michael M. Zeineh, Gerald A. Grant, David B. Camarillo:
Rapidly and accurately estimating brain strain and strain rate across head impact types with transfer learning and data fusion. CoRR abs/2108.13577 (2021) - [i1]Xianghao Zhan, Yuzhe Liu, Nicholas J. Cecchi, Olivier Gevaert, Michael M. Zeineh, Gerald A. Grant, David B. Camarillo:
Data-driven decomposition of brain dynamics with principal component analysis in different types of head impacts. CoRR abs/2110.14116 (2021)
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