000 04559nam a22006375i 4500
001 978-3-030-61598-7
003 DE-He213
005 20240730164549.0
007 cr nn 008mamaa
008 201019s2020 sz | s |||| 0|eng d
020 _a9783030615987
_9978-3-030-61598-7
024 7 _a10.1007/978-3-030-61598-7
_2doi
050 4 _aQ334-342
050 4 _aTA347.A78
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
072 7 _aUYQ
_2thema
082 0 4 _a006.3
_223
245 1 0 _aMachine Learning for Medical Image Reconstruction
_h[electronic resource] :
_bThird International Workshop, MLMIR 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 8, 2020, Proceedings /
_cedited by Farah Deeba, Patricia Johnson, Tobias Würfl, Jong Chul Ye.
250 _a1st ed. 2020.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2020.
300 _aVIII, 163 p. 76 illus., 48 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aImage Processing, Computer Vision, Pattern Recognition, and Graphics,
_x3004-9954 ;
_v12450
505 0 _aDeep Learning for Magnetic Resonance Imaging -- 3D FLAT: Feasible Learned Acquisition Trajectories for Accelerated MRI -- Deep Parallel MRI Reconstruction Network Without Coil Sensitivities -- Neural Network-based Reconstruction in Compressed Sensing MRI Without Fully-sampled Training Data -- Deep Recurrent Partial Fourier Reconstruction in Diffusion MRI -- Model-based Learning for Quantitative Susceptibility Mapping -- Learning Bloch Simulations for MR Fingerprinting by Invertible Neural Networks -- Weakly-supervised Learning for Single-step Quantitative Susceptibility Mapping -- Data-Consistency in Latent Space and Online Update Strategy to Guide GAN for Fast MRI Reconstruction -- Extending LOUPE for K-space Under-sampling Pattern Optimization in Multi-coil MRI -- AutoSyncoder: An Adversarial AutoEncoder Framework for Multimodal MRI Synthesis -- Deep Learning for General Image Reconstruction -- A deep prior approach to magnetic particle imaging -- End-To-End Convolutional NeuralNetwork for 3D Reconstruction of Knee Bones From Bi-Planar X-Ray Images -- Cellular/Vascular Reconstruction using a Deep CNN for Semantic Image Preprocessing and Explicit Segmentation -- Improving PET-CT Image Segmentation via Deep Multi-Modality Data Augmentation -- Stain Style Transfer of Histopathology Images Via Structure-Preserved Generative Learning.
520 _aThis book constitutes the refereed proceedings of the Third International Workshop on Machine Learning for Medical Reconstruction, MLMIR 2020, held in conjunction with MICCAI 2020, in Lima, Peru, in October 2020. The workshop was held virtually. The 15 papers presented were carefully reviewed and selected from 18 submissions. The papers are organized in the following topical sections: deep learning for magnetic resonance imaging and deep learning for general image reconstruction.
650 0 _aArtificial intelligence.
_93407
650 0 _aComputer vision.
_985162
650 0 _aSocial sciences
_xData processing.
_983360
650 0 _aEducation
_xData processing.
_982607
650 0 _aBioinformatics.
_99561
650 1 4 _aArtificial Intelligence.
_93407
650 2 4 _aComputer Vision.
_985164
650 2 4 _aComputer Application in Social and Behavioral Sciences.
_931815
650 2 4 _aComputers and Education.
_941129
650 2 4 _aComputational and Systems Biology.
_931619
700 1 _aDeeba, Farah.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_985166
700 1 _aJohnson, Patricia.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_985167
700 1 _aWürfl, Tobias.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_985169
700 1 _aYe, Jong Chul.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_985170
710 2 _aSpringerLink (Online service)
_985172
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783030615970
776 0 8 _iPrinted edition:
_z9783030615994
830 0 _aImage Processing, Computer Vision, Pattern Recognition, and Graphics,
_x3004-9954 ;
_v12450
_985175
856 4 0 _uhttps://doi.org/10.1007/978-3-030-61598-7
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
912 _aZDB-2-LNC
942 _cELN
999 _c85777
_d85776