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Analysis of Celiac Disease with Multimodal Deep Learning.

, , , , , and . Bildverarbeitung für die Medizin, page 115-120. Springer, (2022)

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Convolutional Neural Networks for the evaluation of cancer in Barrett's esophagus: Explainable AI to lighten up the black-box., , , , , , , and . Comput. Biol. Medicine, (2021)Barrett's Esophagus Identification Using Color Co-Occurrence Matrices., , , , , , and . SIBGRAPI, page 166-173. IEEE Computer Society, (2018)Assisting Barrett's esophagus identification using endoscopic data augmentation based on Generative Adversarial Networks., , , , , , , and . Comput. Biol. Medicine, (2020)Learning Visual Representations with Optimum-Path Forest and its Applications to Barrett's Esophagus and Adenocarcinoma Diagnosis., , , , , , , and . CoRR, (2021)Learning visual representations with optimum-path forest and its applications to Barrett's esophagus and adenocarcinoma diagnosis., , , , , , , , and . Neural Comput. Appl., 32 (3): 759-775 (2020)Barrett's esophagus analysis using infinity Restricted Boltzmann Machines., , , , , , , and . J. Vis. Commun. Image Represent., (2019)Analysis of Celiac Disease with Multimodal Deep Learning., , , , , and . Bildverarbeitung für die Medizin, page 115-120. Springer, (2022)Fine-tuning Generative Adversarial Networks using Metaheuristics - A Case Study on Barrett's Esophagus Identification., , , , , , , and . Bildverarbeitung für die Medizin, page 205-210. Springer, (2021)