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Transfer Learning by Asymmetric Image Weighting for Segmentation across Scanners.

, , , , и . CoRR, (2017)

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Huynh Van Van

Christoph Vannahme

Maxence Vandenbroucke

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Staffan Lars Mikael Vandersee

 

Другие публикации лиц с тем же именем

Asymmetric similarity-weighted ensembles for image segmentation., , , , и . ISBI, стр. 273-277. IEEE, (2016)Multi-Center MRI Carotid Plaque Component Segmentation Using Feature Normalization and Transfer Learning., , , , , , , , и . IEEE Trans. Med. Imaging, 34 (6): 1294-1305 (2015)Transfer Learning by Asymmetric Image Weighting for Segmentation across Scanners., , , , и . CoRR, (2017)Feature-Space Transformation Improves Supervised Segmentation Across Scanners., , и . MLMMI@ICML, том 9487 из Lecture Notes in Computer Science, стр. 85-93. Springer, (2015)A Transfer-Learning Approach to Image Segmentation Across Scanners by Maximizing Distribution Similarity., , , и . MLMI, том 8184 из Lecture Notes in Computer Science, стр. 49-56. Springer, (2013)Weighting training images by maximizing distribution similarity for supervised segmentation across scanners., , , и . Medical Image Anal., 24 (1): 245-254 (2015)Transfer Learning for Image Segmentation by Combining Image Weighting and Kernel Learning., , , и . IEEE Trans. Med. Imaging, 38 (1): 213-224 (2019)Supervised Image Segmentation across Scanner Protocols: A Transfer Learning Approach., , , и . MLMI, том 7588 из Lecture Notes in Computer Science, стр. 160-167. Springer, (2012)Transfer Learning Improves Supervised Image Segmentation Across Imaging Protocols., , , и . IEEE Trans. Medical Imaging, 34 (5): 1018-1030 (2015)MRBrainS Challenge: Online Evaluation Framework for Brain Image Segmentation in 3T MRI Scans., , , , , , , , , и 20 other автор(ы). Comput. Intell. Neurosci., (2015)