Titlebook: Interpretability of Machine Intelligence in Medical Image Computing, and Topological Data Analysis a; 4th International Wo Mauricio Reyes,P

Myofibrils

Interpretable Deep Learning for Surgical Tool Managementch are important contributions of our work. This framework provides a viable solution for intelligent management of surgical tools in a hospital, potentially leading to significant cost savings and increased efficiencies.

Ossification

Deep Grading Based on Collective Artificial Intelligence for AD Diagnosis and Prognosisng and evaluating steps. In the second stage, we use a graph convolutional neural network to better capture AD signatures. Our experiments based on 2074 subjects show the competitive performance of our deep framework compared to state-of-the-art methods on different datasets for both AD diagnosis and prognosis.