activity
20182023
most citedGATE: Graph CCA for Temporal SElf-supervised Learning for Label-efficient fMRI Analysis

72 citations · 332 across the 20 of their papers we have counts for

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Showing cs.CVShow all

7 papers · 1 filter

cs.CV2022★ 65 cited

Evaluating Explainable AI on a Multi-Modal Medical Imaging Task: Can Existing Algorithms Fulfill Clinical Requirements?

Weina Jin, Xiaoxiao Li, Ghassan Hamarneh

Being able to explain the prediction to clinical end-users is a necessity to leverage the power of artificial intelligence (AI) models for clinical decision support. For medical im…

cs.CV2021★ 18 cited

Estimating and Improving Fairness with Adversarial Learning

Xiaoxiao Li, Ziteng Cui, Yifan Wu +2

Fairness and accountability are two essential pillars for trustworthy Artificial Intelligence (AI) in healthcare. However, the existing AI model may be biased in its decision marki…

cs.CV2020

Pooling Regularized Graph Neural Network for fMRI Biomarker Analysis

Xiaoxiao Li, Yuan Zhou, Nicha C. Dvornek +4

Understanding how certain brain regions relate to a specific neurological disorder has been an important area of neuroimaging research. A promising approach to identify the salient…

cs.CV2019★ 32 cited

Invertible Network for Classification and Biomarker Selection for ASD

Juntang Zhuang, Nicha C. Dvornek, Xiaoxiao Li +2

Determining biomarkers for autism spectrum disorder (ASD) is crucial to understanding its mechanisms. Recently deep learning methods have achieved success in the classification tas…

cs.CV2018★ 2 cited

Efficient Interpretation of Deep Learning Models Using Graph Structure and Cooperative Game Theory: Application to ASD Biomarker Discovery

Xiaoxiao Li, Nicha C. Dvornek, Yuan Zhou +3

Discovering imaging biomarkers for autism spectrum disorder (ASD) is critical to help explain ASD and predict or monitor treatment outcomes. Toward this end, deep learning classifi…

cs.CV2018★ 3 cited

Repetitive Motion Estimation Network: Recover cardiac and respiratory signal from thoracic imaging

Xiaoxiao Li, Vivek Singh, Yifan Wu +3

Tracking organ motion is important in image-guided interventions, but motion annotations are not always easily available. Thus, we propose Repetitive Motion Estimation Network (RME…

cs.CV2018★ 10 cited

Brain Biomarker Interpretation in ASD Using Deep Learning and fMRI

Xiaoxiao Li, Nicha C. Dvornek, Juntang Zhuang +2

Autism spectrum disorder (ASD) is a complex neurodevelopmental disorder. Finding the biomarkers associated with ASD is extremely helpful to understand the underlying roots of the d…