most citedTAI-GAN: Temporally and Anatomically Informed GAN for early-to-late frame conversion in dynamic cardiac PET motion correction

1 citations · 2 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2024

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…

eess.IV20241 cited

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…

eess.IV2024

TAI-GAN: A Temporally and Anatomically Informed Generative Adversarial Network for early-to-late frame conversion in dynamic cardiac PET inter-frame motion correction

Xueqi Guo, Luyao Shi, Xiongchao Chen +11

Inter-frame motion in dynamic cardiac positron emission tomography (PET) using rubidium-82 (82-Rb) myocardial perfusion imaging impacts myocardial blood flow (MBF) quantification a…

eess.IV2023

Learning Sequential Information in Task-based fMRI for Synthetic Data Augmentation

Jiyao Wang, Nicha C. Dvornek, Lawrence H. Staib +1

Insufficiency of training data is a persistent issue in medical image analysis, especially for task-based functional magnetic resonance images (fMRI) with spatio-temporal imaging d…

eess.IV20231 cited

TAI-GAN: Temporally and Anatomically Informed GAN for early-to-late frame conversion in dynamic cardiac PET motion correction

Xueqi Guo, Luyao Shi, Xiongchao Chen +10

The rapid tracer kinetics of rubidium-82 (Rb) and high variation of cross-frame distribution in dynamic cardiac positron emission tomography (PET) raise significant challeng…

q-bio.QM2023

Copy Number Variation Informs fMRI-based Prediction of Autism Spectrum Disorder

Nicha C. Dvornek, Catherine Sullivan, James S. Duncan +1

The multifactorial etiology of autism spectrum disorder (ASD) suggests that its study would benefit greatly from multimodal approaches that combine data from widely varying platfor…