2 citations · 3 across the 19 of their papers we have counts for
5 papers · 1 filter
Self-Supervised Pre-training Tasks for an fMRI Time-series Transformer in Autism Detection
Yinchi Zhou, Peiyu Duan, Yuexi Du +1
Autism Spectrum Disorder (ASD) is a neurodevelopmental condition that encompasses a wide variety of symptoms and degrees of impairment, which makes the diagnosis and treatment chal…
Multi-View and Multi-Scale Alignment for Contrastive Language-Image Pre-training in Mammography
Yuexi Du, John Onofrey, Nicha C. Dvornek
Contrastive Language-Image Pre-training (CLIP) demonstrates strong potential in medical image analysis but requires substantial data and computational resources. Due to these restr…
CLEFT: Language-Image Contrastive Learning with Efficient Large Language Model and Prompt Fine-Tuning
Yuexi Du, Brian Chang, Nicha C. Dvornek
Recent advancements in Contrastive Language-Image Pre-training (CLIP) have demonstrated notable success in self-supervised representation learning across various tasks. However, th…
Spectral Brain Graph Neural Network for Prediction of Anxiety in Children with Autism Spectrum Disorder
Peiyu Duan, Nicha C. Dvornek, Jiyao Wang +4
Children with Autism Spectrum Disorder (ASD) frequently exhibit comorbid anxiety, which contributes to impairment and requires treatment. Therefore, it is critical to investigate c…
SIFT-DBT: Self-supervised Initialization and Fine-Tuning for Imbalanced Digital Breast Tomosynthesis Image Classification
Yuexi Du, Regina J. Hooley, John Lewin +1
Digital Breast Tomosynthesis (DBT) is a widely used medical imaging modality for breast cancer screening and diagnosis, offering higher spatial resolution and greater detail throug…