... benefit more from the ICD implantation procedure. Our model was trained and tested over 6 years of echo reports collected at Mayo Clinic. This model can be used as a decision support assistant for cardiologists in finding the right HCM patient when decision-making is hard. Keywords: Deep learning, Sparse...

...CLASSIFICATION OF LEFT ATRIAL APPENDAGE MORPHOLOGY USING DEEP LEARNING Mikayle A. Holm1,2, Alex Deakyne1,3, Erik Gaasedelen1,3, Weston Upchurch1,3, Paul A. Iaizzo1,2,3 1Departments of Surgery, 2Biomedical Engineering, and 3Bioinformatics and Computational Biology University of Minnesota Minneapolis...

... is presented here that has been trained to detect whether isolated muscle bundles were exposed to hypoxic conditions and became ischemic. compartment syndrome deep learning ischemia 4 Contact author: iaizz001@umn.edu DEEP LEARNING ALGORITHM FOR IMAGE CLASSIFICATION OF WAVEFORMS OBTAINED FROM...

...Abstract Abstract In this study, we present USDL, a novel model that employs deep learning algorithms in order to reconstruct and enhance corrupted ultrasound images. We utilize an unsupervised neural network called an autoencoder which works by compressing its input into a latent-space...