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Automated Detection of Anatomical Regions in Magnetic Resonance Images.

, , , , and . VMV, page 79-86. Eurographics Association, (2014)

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Virtual volume resection using multi-resolution triangular representation of B-spline surfaces., , and . Comput. Methods Programs Biomed., 111 (2): 315-329 (2013)Pristine annotations-based multi-modal trained artificial intelligence solution to triage chest X-ray for COVID-19., , , , , , , , , and 6 other author(s). CoRR, (2020)Multi-modal trained artificial intelligence solution to triage chest X-ray for COVID-19 using pristine ground-truth, versus radiologists., , , , , , , , , and 7 other author(s). Neurocomputing, (2022)A Self-learning Tumor Segmentation Method on DCE-MRI Images., , and . ICIAR, volume 9730 of Lecture Notes in Computer Science, page 591-598. Springer, (2016)Liver fat quantification using fast kVp-switching dual energy CT., , , , , , , , , and . Medical Imaging: Image Processing, volume 7962 of SPIE Proceedings, page 79623W. SPIE, (2011)Automated segmentation methods for liver analysis in oncology applications. University of Szeged, Hungary, (2014)Pristine Annotations-Based Multi-modal Trained Artificial Intelligence Solution to Triage Chest X-Ray for COVID-19., , , , , , , , , and 6 other author(s). MICCAI (7), volume 12907 of Lecture Notes in Computer Science, page 325-334. Springer, (2021)Discrete Reconstruction Techniques., , , and . Electron. Notes Discret. Math., (2005)Automated Detection of Anatomical Regions in Magnetic Resonance Images., , , , and . VMV, page 79-86. Eurographics Association, (2014)Deep-Learning-based Segmentation of Organs-at-Risk in the Head for MR-assisted Radiation Therapy Planning., , , , , , , , , and 16 other author(s). BIOIMAGING, page 31-43. SCITEPRESS, (2021)