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Knowledge-based quantification of pericardial fat in non-contrast CT data., , , , , and . Medical Imaging: Image Processing, volume 7623 of SPIE Proceedings, page 76231X. SPIE, (2010)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)Automatic segmentation of the diaphragm in non-contrast CT images., , , , , , and . ISBI, page 900-903. IEEE, (2010)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)Intracranial Vessel Wall Segmentation Using Convolutional Neural Networks., , , , , , , , and . IEEE Trans. Biomed. Eng., 66 (10): 2840-2847 (2019)Automated algorithm for atlas-based segmentation of the heart and pericardium from non-contrast CT., , , , , , and . Medical Imaging: Image Processing, volume 7623 of SPIE Proceedings, page 762337. SPIE, (2010)Transferring deep convolutional network representations from SPECT to improve PET cardiac outcome prediction., , , , , , , , , and 4 other author(s). Medical Imaging: Image Processing, volume 12464 of SPIE Proceedings, SPIE, (2023)Heart chambers and whole heart segmentation techniques: review., , , , , and . J. Electronic Imaging, 21 (1): 010901 (2012)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)Calcium scoring in low-dose ungated chest CT scans using convolutional long-short term memory networks., , , , , , , , , and 3 other author(s). Medical Imaging: Image Processing, volume 12032 of SPIE Proceedings, SPIE, (2022)