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20162026
most citedDisparities in Dermatology AI: Assessments Using Diverse Clinical Images

511 citations · 1.3k across the 32 of their papers we have counts for

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Showing 2021Show all

6 papers · 1 filter

eess.IV2021★ 511 cited

Disparities in Dermatology AI: Assessments Using Diverse Clinical Images

Roxana Daneshjou, Kailas Vodrahalli, Weixin Liang +14

More than 3 billion people lack access to care for skin disease. AI diagnostic tools may aid in early skin cancer detection; however most models have not been assessed on images of…

q-bio.QM2021★ 15 cited

Data-driven decomposition of brain dynamics with principal component analysis in different types of head impacts

Xianghao Zhan, Yuzhe Liu, Nicholas J. Cecchi +4

Strain and strain rate are effective traumatic brain injury predictors. Kinematics-based models estimating these metrics suffer from significant different distributions of both kin…

cs.LG2021★ 13 cited

Rapidly and accurately estimating brain strain and strain rate across head impact types with transfer learning and data fusion

Xianghao Zhan, Yuzhe Liu, Nicholas J. Cecchi +4

Brain strain and strain rate are effective in predicting traumatic brain injury (TBI) caused by head impacts. However, state-of-the-art finite element modeling (FEM) demands consid…

stat.AP2021★ 13 cited

Kinematics clustering enables head impact subtyping for better traumatic brain injury prediction

Xianghao Zhan, Yiheng Li, Yuzhe Liu +5

Traumatic brain injury can be caused by various types of head impacts. However, due to different kinematic characteristics, many brain injury risk estimation models are not general…

q-bio.QM2021★ 24 cited

Machine-learning-based head impact subtyping based on the spectral densities of the measurable head kinematics

Xianghao Zhan, Yiheng Li, Yuzhe Liu +11

Objective: 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 m…

physics.bio-ph2021★ 37 cited

Predictive Factors of Kinematics in Traumatic Brain Injury from Head Impacts Based on Statistical Interpretation

Xianghao Zhan, Yiheng Li, Yuzhe Liu +12

Brain tissue deformation resulting from head impacts is primarily caused by rotation and can lead to traumatic brain injury. To quantify brain injury risk based on measurements of…