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Prediction of the acceptance of telemedicine among rheumatic patients: a machine learning-powered secondary analysis of German survey data

2024 . Muehlensiepen, Felix | Petit, Pascal | Knitza, Johannes | Welcker, Martin | VUILLERME, Nicolas

Hyperspectral imaging and artificial intelligence to detect oral malignancy – part 1 - automated tissue classification of oral muscle, fat and mucosa using a light-weight 6-layer deep neural network

2021 . Thiem, Daniel | Römer, Paul | Gielisch, Matthias | Al-Nawas, Bilal | Schlüter, Martin | Plaß, Bastian | Kämmerer, Peer W.

Deep learning for detection of radiographic sacroiliitis: achieving expert-level performance

Practical applications of deep learning: classifying the most common categories of plain radiographs in a PACS using a neural network

2020 . Dratsch, Thomas | Korenkov, Michael | Zopfs, David | Brodehl, Sebastian | Baessler, Bettina | Giese, Daniel | Brinkmann, Sebastian | Maintz, David | Pinto dos Santos, Daniel

Radiomics in radiation oncology—basics, methods, and limitations

2020 . Lohmann, Philipp | Bousabarah, Khaled | Hoevels, Mauritius | Treuer, Harald

Building an Otoscopic screening prototype tool using deep learning

2019 . Livingstone, Devon | Talai, Aron S. | Chau, Justin | Forkert, Nils D.