Titlebook: Medical Image Computing and Computer Assisted Intervention – MICCAI 2018; 21st International C Alejandro F. Frangi,Julia A. Schnabel,Gabor

纠缠

A No-Reference Quality Metric for Retinal Vessel Tree Segmentationfulness of our approach by applying it to automatically find a threshold for soft probabilistic segmentations on a per-image basis. For an independent state-of-the-art unsupervised vessel segmentation technique, the thresholds selected by our approach lead to statistically significant improvements i

两栖动物

Efficient and Accurate MRI Super-Resolution Using a Generative Adversarial Network and 3D Multi-leveromotes realistic output hardly distinguishable from original HR images. Our results from experiments on a dataset with 1,113 subjects shows that our new architecture outperforms other popular deep learning methods in recovering 4x resolution-downgraded images and runs 6x faster.

pus840

A Deep Learning Based Anti-aliasing Self Super-Resolution Algorithm for MRIsuch training data are often unavailable. This paper presents an anti-aliasing (AA) and self super-resolution (SSR) algorithm that needs no external training data. It takes advantage of the fact that the in-plane slices of those MR images contain high frequency information. Our algorithm consists of

售穴

Mangle

Phase-Sensitive Region-of-Interest Computed Tomography, and shows high-quality results on simulated data and on a biological mouse sample. This work is a proof of concept showing the potential to use PCI in CT on large specimen, such as humans, in clinical applications.

减去

GRACE

的’

ür Studien zu Informalitäten hervor und liefert Anregungen für zukünftige Forschungen in der Organisations- und Rechtssoziologie.978-3-658-06154-8978-3-658-06155-5Series ISSN 2570-334X Series E-ISSN 2570-3358

Detonate

Robust