9 citations · 24 across the 8 of their papers we have counts for
10 papers
Benchmarking Chest X-ray Diagnosis Models Across Multinational Datasets
Qinmei Xu, Yiheng Li, Xianghao Zhan +10
Foundation models leveraging vision-language pretraining have shown promise in chest X-ray (CXR) interpretation, yet their real-world performance across diverse populations and dia…
Differences between Two Maximal Principal Strain Rate Calculation Schemes in Traumatic Brain Analysis with in-vivo and in-silico Datasets
Xianghao Zhan, Zhou Zhou, Yuzhe Liu +5
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…
Identification of head impact locations, speeds, and force based on head kinematics
Xianghao Zhan, Yuzhe Liu, Nicholas J. Cecchi +5
Objective: Head impact information including impact directions, speeds and force are important to study traumatic brain injury, design and evaluate protective gears. This study pre…
Reliability-based cleaning of noisy training labels with inductive conformal prediction in multi-modal biomedical data mining
Xianghao Zhan, Qinmei Xu, Yuanning Zheng +2
Accurately labeling biomedical data presents a challenge. Traditional semi-supervised learning methods often under-utilize available unlabeled data. To address this, we propose a n…
Padded Helmet Shell Covers in American Football: A Comprehensive Laboratory Evaluation with Preliminary On-Field Findings
Nicholas J. Cecchi, Ashlyn A. Callan, Landon P. Watson +8
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 avai…
CPSC: Conformal prediction with shrunken centroids for efficient prediction reliability quantification and data augmentation, a case in alternative herbal medicine classification with electronic nose
Li Liu, Xianghao Zhan, Xikai Yang +6
In machine learning applications, the reliability of predictions is significant for assisted decision and risk control. As an effective framework to quantify the prediction reliabi…