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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)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)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)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)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)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)Feasibility of determining myocardial transient ischemic dilation from cardiac CT by automated stress/rest registration., , , , , , , and . Medical Imaging: Image Processing, volume 8314 of SPIE Proceedings, page 83140G. SPIE, (2012)Mixed Reality Merging of Endoscopic Images and 3-D Surfaces., , , and . MICCAI, volume 1935 of Lecture Notes in Computer Science, page 796-803. Springer, (2000)