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» Authors » Xianghao Zhan

Xianghao Zhan

Explore the profile of Xianghao Zhan including associated specialties, affiliations and a list of published articles. Areas
Snapshot
Articles 22
Citations 112
Followers 0
Related Specialties
Biomedical Engineering
Biophysics
Biotechnology
Top 10 Co-Authors
Yuzhe Liu
Olivier Gevaert
David B Camarillo
Nicholas J Cecchi
Michael M Zeineh
Gerald A Grant
Samuel J Raymond
Yiheng Li
Zhou Zhou
August G Domel
Published In
Ann Biomed Eng
IEEE Trans Biomed Eng
Sensors (Basel)
NPJ Digit Med
Patterns (N Y)
Affiliations
Soon will be listed here.
Recent Articles
1.
Reliability-enhanced data cleaning in biomedical machine learning using inductive conformal prediction
Zhan X, Xu Q, Zheng Y, Lu G, Gevaert O
PLoS Comput Biol . 2025 Feb; 21(2):e1012803. PMID: 39946419
Accurately labeling large datasets is important for biomedical machine learning yet challenging while modern data augmentation methods may generate noise in the training data, which may deteriorate machine learning model...
2.
Adaptive Machine Learning Head Model Across Different Head Impact Types Using Unsupervised Domain Adaptation and Generative Adversarial Networks
Zhan X, Sun J, Liu Y, Cecchi N, Le Flao E, Gevaert O, et al.
IEEE Sens J . 2025 Feb; 24(5):7097-7106. PMID: 39897708
Machine learning head models (MLHMs) are developed to estimate brain deformation from sensor-based kinematics for early detection of traumatic brain injury (TBI). However, the overfitting to simulated impacts and the...
3.
Differences between two maximal principal strain rate calculation schemes in traumatic brain analysis with in-vivo and in-silico datasets
Zhan X, Zhou Z, Liu Y, Cecchi N, Hajiahamemar M, Zeineh M, et al.
J Biomech . 2024 Dec; 179():112456. PMID: 39671828
Brain deformation caused by a head impact leads to traumatic brain injury (TBI). The maximum principal strain (MPS) was used to measure the extent of brain deformation and predict injury,...
4.
A tri-light warning system for hospitalized COVID-19 patients: Credibility-based risk stratification for future pandemic preparedness
Xu C, Xu Q, Liu L, Zhou M, Xing Z, Zhou Z, et al.
Eur J Radiol Open . 2024 Oct; 13:100603. PMID: 39469109
Purpose: The novel coronavirus pneumonia (COVID-19) has continually spread and mutated, requiring a patient risk stratification system to optimize medical resources and improve pandemic response. We aimed to develop a...
5.
AI-Based Denoising of Head Impact Kinematics Measurements With Convolutional Neural Network for Traumatic Brain Injury Prediction
Zhan X, Liu Y, Cecchi N, Callan A, Le Flao E, Gevaert O, et al.
IEEE Trans Biomed Eng . 2024 Apr; 71(9):2759-2770. PMID: 38683703
Objective: Wearable devices are developed to measure head impact kinematics but are intrinsically noisy because of the imperfect interface with human bodies. This study aimed to improve the head impact...
6.
Brain Deformation Estimation With Transfer Learning for Head Impact Datasets Across Impact Types
Zhan X, Liu Y, Cecchi N, Gevaert O, Zeineh M, Grant G, et al.
IEEE Trans Biomed Eng . 2024 Jan; 71(6):1853-1863. PMID: 38224520
Objective: The machine-learning head model (MLHM) to accelerate the calculation of brain strain and strain rate, which are the predictors for traumatic brain injury (TBI), but the model accuracy was...
7.
Toward more accurate and generalizable brain deformation estimators for traumatic brain injury detection with unsupervised domain adaptation
Zhan X, Sun J, Liu Y, Cecchi N, Le Flao E, Gevaert O, et al.
ArXiv . 2023 Jun; PMID: 37332565
Machine learning head models (MLHMs) are developed to estimate brain deformation for early detection of traumatic brain injury (TBI). However, the overfitting to simulated impacts and the lack of generalizability...
8.
Machine-learning-based head impact subtyping based on the spectral densities of the measurable head kinematics
Zhan X, Li Y, Liu Y, Cecchi N, Raymond S, Zhou Z, et al.
J Sport Health Sci . 2023 Mar; 12(5):619-629. PMID: 36921692
Background: Traumatic brain injury can be caused by head impacts, but many brain injury risk estimation models are not equally accurate across the variety of impacts that patients may undergo,...
9.
Padded Helmet Shell Covers in American Football: A Comprehensive Laboratory Evaluation with Preliminary On-Field Findings
Cecchi N, Callan A, Watson L, Liu Y, Zhan X, Vegesna R, et al.
Ann Biomed Eng . 2023 Mar; 52(10):2703-2716. PMID: 36917295
Protective headgear effects measured in the laboratory may not always translate to the field. In this study, we evaluated the impact attenuation capabilities of a commercially available padded helmet shell...
10.
Correction: Identifying Factors Associated with Head Impact Kinematics and Brain Strain in High School American Football via Instrumented Mouthguards
Cecchi N, Domel A, Liu Y, Rice E, Lu R, Zhan X, et al.
Ann Biomed Eng . 2023 Jan; 51(2):456. PMID: 36593307
No abstract available.