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Iterative fully convolutional neural networks for automatic vertebra segmentation and identification.

, , , and . Medical Image Anal., (2019)

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Automatic brain tissue segmentation in fetal MRI using convolutional neural networks., , , , , , , , and . CoRR, (2019)Direct prediction of cardiovascular mortality from low-dose chest CT using deep learning., , , , , , and . Medical Imaging: Image Processing, volume 10949 of SPIE Proceedings, page 109490X. SPIE, (2019)Iterative fully convolutional neural networks for automatic vertebra segmentation and identification., , , and . Medical Image Anal., (2019)Direct Automatic Coronary Calcium Scoring in Cardiac and Chest CT., , , , , and . IEEE Trans. Med. Imaging, 38 (9): 2127-2138 (2019)Feasibility of respiratory motion-compensated stereoscopic X-ray tracking for bronchoscopy., , and . Int. J. Comput. Assist. Radiol. Surg., 9 (2): 199-209 (2014)VerSe: A Vertebrae Labelling and Segmentation Benchmark., , , , , , , , , and 20 other author(s). CoRR, (2020)VerSe: A Vertebrae labelling and segmentation benchmark for multi-detector CT images., , , , , , , , , and 59 other author(s). Medical Image Anal., (2021)Segmentation of vertebrae and intervertebral discs in lumbar spine MR images with iterative instance segmentation., , , and . Medical Imaging: Image Processing, volume 12032 of SPIE Proceedings, SPIE, (2022)Transfer learning from a sparsely annotated dataset of 3D medical images., , , , and . CoRR, (2023)Random smooth gray value transformations for cross modality learning with gray value invariant networks., and . CoRR, (2020)