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Bildverarbeitung für die Medizin 2020

Overview of attention for book
Bildverarbeitung für die Medizin 2020
Springer Fachmedien Wiesbaden

Table of Contents

  1. Altmetric Badge
    Book Overview
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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 6: Abstract: Defence of Mathematical Models for Deep Learning based Registration
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Chapter title
Abstract: Defence of Mathematical Models for Deep Learning based Registration
Chapter number 6
Book title
Bildverarbeitung für die Medizin 2020
Published by
Springer Vieweg, Wiesbaden, January 2020
DOI 10.1007/978-3-658-29267-6_6
Book ISBNs
978-3-65-829266-9, 978-3-65-829267-6
Authors

Lasse Hansen, Maximilian Blendowski, Mattias P. Heinrich, Hansen, Lasse, Blendowski, Maximilian, 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 %
Mathematics 1 100%

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