Titlebook: Medical Image Computing and Computer Assisted Intervention – MICCAI 2023; 26th International C Hayit Greenspan,Anant Madabhushi,Russell Tay

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Flow-Based Geometric Interpolation of Fiber Orientation Distribution FunctionsHowever, the complicated mathematical structures of the FOD function pose challenges for FOD image processing tasks such as interpolation, which plays a critical role in the propagation of fiber tracts in tractography. In FOD-based tractography, linear interpolation is commonly used for numerical ef

Alcove

Learnable Subdivision Graph Neural Network for?Functional Brain Network Analysis and?Interpretable Cnct brain states can confer heterogeneous functions to brain networks. Recent studies have revealed that extracting information from functional brain networks is beneficial for neuroscience analysis and brain disorder diagnosis. Graph neural networks (GNNs) have been demonstrated to be superior in l

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Simulation of?Arbitrary Level Contrast Dose in?MRI Using an?Iterative Global Transformer Model Contrast Agents (GBCAs). These DL algorithms are however limited by the availability of high quality low dose datasets. Additionally, different types of GBCAs and pathologies require different dose levels for the DL algorithms to work reliably. In this work, we formulate a novel transformer (Gforme

OUTRE

Development and?Fast Transferring of?General Connectivity-Based Diagnosis Model to?New Brain Disordeire training new models with large data from new BDs, which is often not practical. Recent neuroscience studies suggested that BDs could share commonness from the perspective of functional connectivity derived from fMRI. This potentially enables developing a connectivity-based general model that can

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Dynamic Structural Brain Network Construction by?Hierarchical Prototype Embedding GCN Using T1-MRI. Current methods with T1-MRI rely on predefined regions or isolated pretrained modules to localize atrophy regions, which neglects individual specificity. Besides, existing methods capture global structural context only on the whole-image-level, which weaken correlation between regions and the hier