Simulation and Synthesis in Medical Imaging 4th International Workshop, SASHIMI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings /
This book constitutes the refereed proceedings of the 4th International Workshop on Simulation and Synthesis in Medical Imaging, SASHIMI 2019, held in conjunction with MICCAI 2019, in Shenzhen, China, in October 2019. The 16 full papers presented were carefully reviewed and selected from 21 submissi...
| Συγγραφή απο Οργανισμό/Αρχή: | |
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| Άλλοι συγγραφείς: | , , |
| Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
| Γλώσσα: | English |
| Έκδοση: |
Cham :
Springer International Publishing : Imprint: Springer,
2019.
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| Έκδοση: | 1st ed. 2019. |
| Σειρά: | Image Processing, Computer Vision, Pattern Recognition, and Graphics ;
11827 |
| Θέματα: | |
| Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- Empirical Bayesian Mixture Models for Medical Image Translation
- Improved MR to CT synthesis for PET/MR attenuation correction using Imitation Learning
- Unpaired Multi-Contrast MR Image Synthesis using Generative Adversarial Networks
- Unsupervised Retina Image Synthesis via Disentangled Representation Learning
- Pseudo-normal PET Synthesis with Generative Adversarial Networks for Localising Hypometabolism in Epilepsies
- Breast Mass Detection in Mammograms via Blending Adversarial Learning
- Tunable CT lung nodule synthesis conditioned on background image and semantic features
- Mask2Lesion: Mask-Constrained Adversarial Skin Lesion Image Synthesis
- Towards Annotation-Free Segmentation of Fluorescently Labeled Cell Membranes in Confocal Microscopy Images
- Intelligent image synthesis to attack a segmentation CNN using adversarial learning
- Physics-informed brain MRI segmentation
- 3D Medical Image Synthesis by Factorised Representation and Deformable Model Learning
- Cycle-consistent training for Reducing Negative Jacobian Determinant in Deep Registration Networks
- iSMORE: an iterative self super-resolution algorithm
- An Optical Model of Whole Blood for Detecting Platelets in Lens-Free Images
- Evaluation of the realism of an MRI simulator for stroke lesion prediction using convolutional neural network.
