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Extraction of Airways with Probabilistic State-Space Models and Bayesian Smoothing.

, , , and . GRAIL/MFCA/MICGen@MICCAI, volume 10551 of Lecture Notes in Computer Science, page 53-63. Springer, (2017)

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Mean Field Network Based Graph Refinement with Application to Airway Tree Extraction., , , , and . MICCAI (2), volume 11071 of Lecture Notes in Computer Science, page 750-758. Springer, (2018)Graph refinement based airway extraction using mean-field networks and graph neural networks., , , , , , and . Medical Image Anal., (2020)Aorta and pulmonary artery segmentation using optimal surface graph cuts in non-contrast CT., , , and . Medical Imaging: Image Processing, volume 10574 of SPIE Proceedings, page 105742D. SPIE, (2018)‘Reduced’ HUNT model outperforms NLST and NELSON study criteria in predicting lung cancer in the Danish screening trial, , , , , , , and . BMJ Open Respiratory Research, (2019)Extraction of Airways using Graph Neural Networks., , , , , and . CoRR, (2018)Extracting Tree-structures in CT data by Tracking Multiple Statistically Ranked Hypotheses., , , and . CoRR, (2018)Graph Refinement based Tree Extraction using Mean-Field Networks and Graph Neural Networks., , , , , and . CoRR, (2018)Extraction of Airways with Probabilistic State-Space Models and Bayesian Smoothing., , , and . GRAIL/MFCA/MICGen@MICCAI, volume 10551 of Lecture Notes in Computer Science, page 53-63. Springer, (2017)Extraction of airway trees using multiple hypothesis tracking and template matching., , , and . CoRR, (2016)Increasing Accuracy of Optimal Surfaces Using Min-Marginal Energies., , , , , , , and . IEEE Trans. Medical Imaging, 38 (7): 1559-1568 (2019)