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Rapid quantification of COVID-19 pneumonia burden from computed tomography with convolutional LSTM networks., , , , , , , , , and 15 other author(s). CoRR, (2021)Direct head-to-head comparison of convolutional long short-term memory and transformer networks for artificial Intelligence-based quantification of atherosclerotic plaque and stenosis from coronary CT angiography., , , , , , , , , and 19 other author(s). Medical Imaging: Image Processing, volume 12464 of SPIE Proceedings, SPIE, (2023)Deep learning-based stenosis quantification from coronary CT angiography., , , , , , , , , and 1 other author(s). Medical Imaging: Image Processing, volume 10949 of SPIE Proceedings, page 109492I. SPIE, (2019)Deep Learning for Quantification of Epicardial and Thoracic Adipose Tissue From Non-Contrast CT., , , , , , , , , and . IEEE Trans. Medical Imaging, 37 (8): 1835-1846 (2018)COVID-19 lesion segmentation using convolutional LSTM for self-attention., , , , , , , , , and 16 other author(s). Medical Imaging: Image Processing, volume 12032 of SPIE Proceedings, SPIE, (2022)