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A graph-theoretic approach for segmentation of PET images.

, , , , , и . EMBC, стр. 8479-8482. IEEE, (2011)

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Daniel J Schad

Daniel J Guhr

Daniel J Alfsmann

Daniel J Schmidt

Daniel J Egger

 

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Robust segmentation and accurate target definition for positron emission tomography images using Affinity Propagation., , , , , , , и . ISBI, стр. 1461-1464. IEEE, (2013)Multi-label Deep Regression and Unordered Pooling for Holistic Interstitial Lung Disease Pattern Detection., , , , , и . MLMI@MICCAI, том 10019 из Lecture Notes in Computer Science, стр. 147-155. (2016)CT-Realistic Lung Nodule Simulation from 3D Conditional Generative Adversarial Networks for Robust Lung Segmentation., , , , и . MICCAI (2), том 11071 из Lecture Notes in Computer Science, стр. 732-740. Springer, (2018)Monitoring pulmonary fibrosis by fusing clinical, physiological, and computed tomography features., , , и . EMBC, стр. 6216-6219. IEEE, (2011)Denoising PET Images Using Singular Value Thresholding and Stein's Unbiased Risk Estimate., и . MICCAI (3), том 8151 из Lecture Notes in Computer Science, стр. 115-122. Springer, (2013)Optimally Stabilized PET Image Denoising Using Trilateral Filtering., , и . MICCAI (1), том 8673 из Lecture Notes in Computer Science, стр. 130-137. Springer, (2014)Computer-assisted detection of infectious lung diseases: A review., , , , и . Comput. Medical Imaging Graph., 36 (1): 72-84 (2012)White matter hyperintensity segmentation from T1 and FLAIR images using fully convolutional neural networks enhanced with residual connections., , , и . ISBI, стр. 1060-1064. IEEE, (2018)Co-segmentation of Functional and Anatomical Images., , , и . MICCAI (3), том 7512 из Lecture Notes in Computer Science, стр. 459-467. Springer, (2012)Joint segmentation of anatomical and functional images: Applications in quantification of lesions from PET, PET-CT, MRI-PET, and MRI-PET-CT images., , , , , , , и . Medical Image Anal., 17 (8): 929-945 (2013)