The seven-volume set LNCS 12261, 12262, 12263, 12264, 12265, 12266, and 12267 constitutes the refereed proceedings of the 23rd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2020, held in Lima ...
This book constitutes the refereed proceedings of two workshops held at the 19th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2016, in Athens, Greece, in October 2016: the First Workshop on ...
The book discusses approaches for specific applications such as non-Cartesian imaging, under sampled reconstruction, motion correction, dynamic imaging and quantitative MRI.
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... networks for noise reduction in low - dose CT , ” IEEE Transactions on Medical Imaging , vol . 36 , no . 12 , pp . 2536– 2545 , 2017 , doi : 10.1109 / TMI.2017.2708987 [ 24 ] ... Deep - Learning - Based Medical Image Synthesis Methods 31.
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... segmentation and super - resolution reconstruction of fetal brain MRI . NeuroImage 206 , 116324 ( 2020 ) 13. Feng , C.M. , Wang , K. , Lu , S. , Xu , Y. , Li , X .: Brain MRI super - resolution using coupled - projection residual network ...
This is becoming the central tool for image analysis, understanding, and visualization in both medical and scientific applications. Medical Image Registration provid
... network for joint MRI reconstruction and super - resolution . In : de Bruijne , M. , et al . ( eds . ) MICCAI 2021. LNCS , vol . 12906 , pp . 307–317 . Springer , Cham ( 2021 ) . https://doi.org/10 . 1007 / 978-3-030-87231-1_30 7. Huang ...
... magnetic resonance imaging reconstruction using autoencoding priors. Magn. Reson. Med. 83(1), 322–336 (2020) 17. Lyu, Q., et al.: Multi-contrast super-resolution MRI through a progressive network. IEEE Trans. Med. Imaging 39(9), 2738 ...