Titlebook: Machine Learning in Clinical Neuroimaging; 6th International Wo Ahmed Abdulkadir,Deepti R. Bathula,Yiming Xiao Conference proceedings 2023

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A Three-Player GAN for Super-Resolution in Magnetic Resonance Imaging the GAN, as well as a relativistic GAN loss function and an updating feature extractor as the third player during the training process. Our experiments demonstrate that our method produces highly accurate results using very few training samples. Specifically, we show that we need less than 30 train

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Cross-Attention for Improved Motion Correction in Brain PETers: HRRT without time of flight (ToF) and mCT with ToF. Compared with traditional and deep learning benchmarks, our network improved the performance of motion correction by 58% and 26% in translation and rotation, respectively, in multi-subject testing in HRRT studies. In mCT studies, our approach

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Causal Sensitivity Analysis for Hidden Confounding: Modeling the Sex-Specific Role of Diet on the Agwidespread and also robust to hidden confounds in males compared to females. Specific dietary components, including a higher consumption of whole grains, vegetables, dairy, and vegetable oils as well as a lower consumption of meat appears to be more beneficial to brain structure (e.g., greater thick

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