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Automatic Classification of Radiological Reports for Clinical Care.

, , , , , , and . AIME, volume 10259 of Lecture Notes in Computer Science, page 149-159. Springer, (2017)

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Machine Learning Techniques for Prognosis Estimation and Knowledge Discovery From Lab Test Results With Application to the COVID-19 Emergency., , , , and . IEEE Access, (2023)End-to-end learning for semiquantitative rating of COVID-19 severity on Chest X-rays., , , , , , , , , and 1 other author(s). CoRR, (2020)Prognosis Prediction in Covid-19 Patients from Lab Tests and X-ray Data through Randomized Decision Trees., , , , and . KDH@ECAI, volume 2675 of CEUR Workshop Proceedings, page 27-34. CEUR-WS.org, (2020)BS-Net: Learning COVID-19 pneumonia severity on a large chest X-ray dataset., , , , , , , , , and 1 other author(s). Medical Image Anal., (2021)AI-Based Automated Lipomatous Tumor Segmentation in MR Images: Ensemble Solution to Heterogeneous Data., , , , , , , , , and 10 other author(s). J. Digit. Imaging, 36 (3): 1049-1059 (June 2023)Attention-Based Explanation in a Deep Learning Model For Classifying Radiology Reports., , , , and . AIME, volume 12721 of Lecture Notes in Computer Science, page 367-372. Springer, (2021)Length of Stay Prediction for Northern Italy COVID-19 Patients Based on Lab Tests and X-Ray Data., , , , , and . ICPR Workshops (1), volume 12661 of Lecture Notes in Computer Science, page 212-226. Springer, (2020)