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End-to-end learning for semiquantitative rating of COVID-19 severity on Chest X-rays.

, , , , , , , , , , и . CoRR, (2020)

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Roberto Cruccolini

Roberto Sala

Roberto Fornari

Roberto Minakawa

Roberto Klimmek

 

Другие публикации лиц с тем же именем

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