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Bildverarbeitung für die Medizin 2020

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Cover of 'Bildverarbeitung für die Medizin 2020'

Table of Contents

  1. Altmetric Badge
    Book Overview
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    Chapter 1 Inter-Species, Inter-Tissue Domain Adaptation for Mitotic Figure Assessment
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    Chapter 2 Deep Segmentation of Bacteria at Different Stages of the Life Cycle
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    Chapter 3 Retrospective Color Shading Correction for Endoscopic Images
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    Chapter 4 Neural Network for Analyzing Prostate Cancer Tissue Microarrays
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    Chapter 5 Is Crowd-Algorithm Collaboration an Advanced Alternative to Crowd-Sourcing on Cytology Slides?
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    Chapter 6 Abstract: Defence of Mathematical Models for Deep Learning based Registration
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    Chapter 7 Degenerating U-Net on Retinal Vessel Segmentation
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    Chapter 8 COPD Classification in CT Images Using a 3D Convolutional Neural Network
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    Chapter 9 Automatische Detektion von Zwischenorgan-3D-Barrieren in abdominalen CT-Daten
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    Chapter 10 Abstract: Automatic Detection of Cervical Spine Ligaments Origin and Insertion Points
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    Chapter 11 Abstract: Recognition of AML Blast Cells in a Curated Single-Cell Dataset of Leukocyte Morphologies Using Deep Convolutional Neural Networks
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    Chapter 12 Fully Automated Segmentation of the Psoas Major Muscle in Clinical CT Scans
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    Chapter 13 Automated Segmentation of the Locus Coeruleus from Neuromelanin-Sensitive 3T MRI Using Deep Convolutional Neural Networks
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    Chapter 14 Multi-Channel Volumetric Neural Network for Knee Cartilage Segmentation in Cone-Beam CT
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    Chapter 15 Abstract: WeLineation
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    Chapter 16 Abstract: Fully Automated Deep Learning Pipeline for Adipose Tissue Segmentation on Abdominal Dixon MRI
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    Chapter 17 Semantic Lung Segmentation Using Convolutional Neural Networks
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    Chapter 18 Abstract: MITK-ModelFit
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    Chapter 19 Compressed Sensing for Optical Coherence Tomography Angiography Volume Generation
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    Chapter 20 Reproduzierbare Kalibrierung von elektromagnetischen Feldverzerrungen
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    Chapter 21 Deep Learning-Based Denoising of Mammographic Images Using Physics-Driven Data Augmentation
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    Chapter 22 Video Anomaly Detection in Post-Procedural Use of Laparoscopic Videos
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    Chapter 23 Entropy-Based SVM Classifier for Automatic Detection of Motion Artifacts in Clinical MRI
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    Chapter 24 Tenfold your Photons
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    Chapter 25 CT-Based Non-Destructive Quantification of 3D-Printed Hydrogel Implants
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    Chapter 26 Fully-Automatic CT Data Preparation for Interventional X-Ray Skin Dose Simulation
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    Chapter 27 Prediction of MRI Hardware Failures based on Image Features Using Time Series Classification
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    Chapter 28 Prediction of MRI Hardware Failures Based on Image Features Using Ensemble Learning
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    Chapter 29 Abstract: Estimation of the Principal Ischaemic Stroke Growth Directions for Predicting Tissue Outcomes
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    Chapter 30 Assistive Diagnosis in Opthalmology Using Deep Learning-Based Image Retrieval
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    Chapter 31 Multitask-Learning for the Extraction of Avascular Necrosis of the Femoral Head in MRI
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    Chapter 32 Investigation of Feature-Based Nonrigid Image Registration Using Gaussian Process
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    Chapter 33 Intensity-Based 2D-3D Registration Using Normalized Gradient Fields
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    Chapter 34 Deep Autofocus with Cone-Beam CT Consistency Constraint
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    Chapter 35 Abstract: mlVIRNET
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    Chapter 36 Font Augmentation
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    Chapter 37 Abstract: Segmentation of Retinal Low-Cost Optical Coherence Tomography Images Using Deep Learning
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    Chapter 38 Abstract: RinQ Fingerprinting
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    Chapter 39 Abstract: Learning to Avoid Poor Images
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    Chapter 40 Field of View Extension in Computed Tomography Using Deep Learning Prior
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    Chapter 41 Abstract: Self-Supervised 3D Context Feature Learning on Unlabeled Volume Data
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    Chapter 42 Deep Learning Algorithms for Coronary Artery Plaque Characterisation from CCTA Scans
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    Chapter 43 Abstract: Unsupervised Anomaly Localization Using Variational Auto-Encoders
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    Chapter 44 Abstract: Coronary Artery Plaque Characterization from CCTA Scans Using DL and Radiomics
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    Chapter 45 Quantitative Comparison of Generative Shape Models for Medical Images
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    Chapter 46 Abstract: FastSurfer
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    Chapter 47 VICTORIA
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    Chapter 48 Abstract: Deep Probabilistic Modeling of Glioma Growth
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    Chapter 49 Parameter Space CNN for Cortical Surface Segmentation
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    Chapter 50 Learning-Based Correspondence Estimation for 2-D/3-D Registration
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    Chapter 51 Abstract: Deep Learning Based CT-CBCT Image Registration for Adaptive Radio Therapy
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    Chapter 52 Learning-Based Misalignment Detection for 2-D/3-D Overlays
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    Chapter 53 Deep Groupwise Registration of MRI Using Deforming Autoencoders
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    Chapter 54 Robust Open Field Rodent Tracking Using a Fully Convolutional Network and a Softargmax Distance Loss
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    Chapter 55 Deep OCT Angiography Image Generation for Motion Artifact Suppression
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    Chapter 56 Open Source Simulation of Fixational Eye Drift Motion in OCT Scans
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    Chapter 57 Abstract: Multi-Task Framework for X-Ray Guided Planning in Knee Surgery
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    Chapter 58 Abstract: 3D Catheter Guidance Including Shape Sensing for Endovascular Navigation
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    Chapter 59 Erlernbarkeitsstudie eines vibrotaktilen Armbands für assistive Navigation
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    Chapter 60 Visualizing the Placental Energy State in Vivo
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    Chapter 61 Modularization of Deep Networks Allows Cross-Modality Reuse
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    Chapter 62 U-Net in Constraint Few-Shot Settings
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    Chapter 63 Abstract: Multi-Scale GANs for Memory-Effcient Generation of High Resolution Medical Images
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    Chapter 64 Epoch-Wise Label Attacks for Robustness Against Label Noise
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    Chapter 65 Abstract: How Big is Big Enough?
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    Chapter 66 Der Einfluss von Segmentierung auf die Genauigkeit eines CNN-Klassifikators zur Mimik-Steuerung
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    Chapter 67 Imitation Learning Network for Fundus Image Registration Using a Divide-And-Conquer Approach
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    Chapter 68 Comparison of CNN Visualization Methods to Aid Model Interpretability for Detecting Alzheimer’s Disease
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    Chapter 69 Abstract: Divide-And-Conquer Approach Towards Understanding Deep Networks
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    Chapter 70 Abstract: Fiber Optical Shape Sensing of Flexible Instruments
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    Chapter 71 Scalable HEVC for Histological Whole-Slide Image Compression
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    Chapter 72 Image Quilting for Histological Image Synthesis
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    Chapter 73 An Open-Source Tool for Automated Planning of Overlapping Ablation Zones
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    Chapter 74 Combining 2-D and 3-D Weight-Bearing X-Ray Images
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    Chapter 75 Abstract: Generative Adversarial Networks for Stereoscopic Hyperrealism in Surgical Training
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    Chapter 76 Haptic Rendering of Soft-Tissue for Training Surgical Procedures at the Larynx
Attention for Chapter 29: Abstract: Estimation of the Principal Ischaemic Stroke Growth Directions for Predicting Tissue Outcomes
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Chapter title
Abstract: Estimation of the Principal Ischaemic Stroke Growth Directions for Predicting Tissue Outcomes
Chapter number 29
Book title
Bildverarbeitung für die Medizin 2020
Published by
Springer Vieweg, Wiesbaden, January 2020
DOI 10.1007/978-3-658-29267-6_29
Book ISBNs
978-3-65-829266-9, 978-3-65-829267-6
Authors

Christian Lucas, Linda F. Aulmann, André Kemmling, Amir Madany Mamlouk, Mattias P. Heinrich, Lucas, Christian, Aulmann, Linda F., Kemmling, André, Mamlouk, Amir Madany, Heinrich, Mattias P.

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Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 100%
Readers by discipline Count As %
Computer Science 1 100%

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