72 citations · 332 across the 20 of their papers we have counts for
5 papers · 1 filter
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…
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…
Prediction of severity and treatment outcome for ASD from fMRI
Juntang Zhuang, Nicha C. Dvornek, Xiaoxiao Li +2
Autism spectrum disorder (ASD) is a complex neurodevelopmental syndrome. Early diagnosis and precise treatment are essential for ASD patients. Although researchers have built many…
Prediction of treatment outcome for autism from structure of the brain based on sure independence screening
Juntang Zhuang, Nicha C. Dvornek, Qingyu Zhao +3
Autism spectrum disorder (ASD) is a complex neurodevelopmental disorder, and behavioral treatment interventions have shown promise for young children with ASD. However, there is li…
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…