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Bildverarbeitung für die Medizin 2024

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Cover of 'Bildverarbeitung für die Medizin 2024'

Table of Contents

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    Book Overview
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    Chapter 1 Keynote: Recent Advances in Surgical AI for Next Generation Interventions
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    Chapter 2 Keynote: 4-D+ nanoSCOPE Project
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    Chapter 3 Improving Hybrid Quantum Annealing Tomographic Image Reconstruction with Regularization Strategies
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    Chapter 4 Abstract: Deep Learning-based Detection of Vessel Occlusions on CT-Angiography in Patients with Suspected Acute Ischemic Stroke
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    Chapter 5 Abstract: Cytologic Scoring of Equine Exercise-induced Pulmonary Hemorrhage
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    Chapter 6 Abstract: Adaptive Region Selection for Active Learning in Whole Slide Image Semantic Segmentation
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    Chapter 7 Abstract: Flexible Unfolding of Circular Structures for Rendering Textbook-style Cerebrovascular Maps
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    Chapter 8 Attention-guided Erasing
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    Chapter 9 Appearance-based Debiasing of Deep Learning Models in Medical Imaging
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    Chapter 10 Abstract: Interpretable Medical Image Classification Using Prototype Learning and Privileged Information
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    Chapter 11 Abstract: Robust Multi-contrast MRI Denoising using Trainable Bilateral Filters without Noise-free Targets
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    Chapter 12 Privacy-enhancing Image Sampling for the Synthesis of High-quality Anonymous Chest Radiographs
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    Chapter 13 Segmentation-guided Medical Image Registration
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    Chapter 14 Displacement Representation for Conditional Point Cloud Registration
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    Chapter 15 Joint Learning of Image Registration and Change Detection for Lung CT Images
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    Chapter 16 Abstract: Focused Unsupervised Image Registration for Structure-specific Population Analysis
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    Chapter 17 Abstract: Combined 3D Dataset for CT- and Point Cloud-based Intra-patient Lung Registration Lung250M-4B
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    Chapter 18 Influence of Prompting Strategies on Segment Anything Model (SAM) for Short-axis Cardiac MRI Segmentation
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    Chapter 19 Abstracting Volumetric Medical Images with Sparse Keypoints for Efficient Geometric Segmentation of Lung Fissures with a Graph CNN
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    Chapter 20 Advanced Deep Learning for Skin Histoglyphics at Cellular Level
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    Chapter 21 Combining Image- and Geometric-based Deep Learning for Shape Regression
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    Chapter 22 Abstract: Multi-dataset Approach to Medical Image Segmentation
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    Chapter 23 Abstract: 3D Medical Image Segmentation with Transformer-based Scaling of ConvNets
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    Chapter 24 Abstract: Baseline Pipeline for Automated Eye Redness Extraction with Relation to Clinical Grading
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    Chapter 25 Abstract: Reducing Domain Shift in Deep Learning for OCT Segmentation using Image Manipulations
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    Chapter 27 Effect of Training Epoch Number on Patient Data Memorization in Unconditional Latent Diffusion Models
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    Chapter 28 Exploring GPT-4 as MR Sequence and Reconstruction Programming Assistant
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    Chapter 29 Abstract: Understanding Silent Failures in Medical Image Classification
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    Chapter 30 Abstract: Advancing Large-scale Deformable 3D Registration with Differentiable Volumetric Rasterisation of Point Clouds
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    Chapter 31 Harmonized Import of Clinical Research Data for the Open Source Image Analysis Platform Kaapana
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    Chapter 32 Interactive Exploration of Conditional Statistical Shape Models in the Web-browser
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    Chapter 33 Abstract: Anatomy-informed Data Augmentation for Enhanced Prostate Cancer Detection
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    Chapter 34 Abstract: Reformulating COPD Classification on Chest CT Scans as Anomaly Detection using Contrastive Representations
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    Chapter 35 Abstract: Handling Label Uncertainty on the Example of Automatic Detection of Shepherd’s Crook RCA in Coronary CT Angiography
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    Chapter 36 Segment-wise Evaluation in X-ray Angiography Stenosis Detection
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    Chapter 37 Automated Mitotic Index Calculation via Deep Learning and Immunohistochemistry
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    Chapter 38 Abstract: Radiomics Processing Toolkit
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    Chapter 39 Towards Unified Multi-modal Dataset Creation for Deep Learning Utilizing Structured Reports
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    Chapter 40 Abstract: Comprehensive Multi-domain Dataset for Mitotic Figure Detection
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    Chapter 41 Assessment of Scanner Domain Shifts in Deep Multiple Instance Learning
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    Chapter 42 Few Shot Learning for the Classification of Confocal Laser Endomicroscopy Images of Head and Neck Tumors
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    Chapter 43 Computational Ontology and Visualization Framework for the Visual Comparison of Brain Atrophy Profiles
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    Chapter 44 Abstract: Denoising of Home OCT Images using Noise-to-noise Trained on Artificial Eye Data
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    Chapter 45 Abstract: Metal-conscious Embedding for CBCT Projection Inpainting
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    Chapter 46 Abstract: Self-supervised Pre-training for Dealing with Small Datasets in Deep Learning for Medical Imaging
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    Chapter 47 Abstract: Enhanced Diagnostic Fidelity in Pathology Whole Slide Image Compression via Deep Learning
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    Chapter 48 Abstract: Self-supervised CT Dual Domain Denoising using Low-parameter Models
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    Chapter 49 Comparative Analysis of Radiomic Features and Gene Expression Profiles in Histopathology Data using Graph Neural Networks
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    Chapter 50 Magnetisation Reconstruction for Quantum Metrology
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    Chapter 51 Improving Segmentation Models for AR-guided Liver Surgery using Synthetic Images
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    Chapter 52 Application of Active Learning-based on Uncertainty Quantification to Breast Segmentation in MRI
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    Chapter 53 Guidance to Noise Simulation in X-ray Imaging
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    Chapter 54 Automated Lesion Detection in Endoscopic Imagery for Small Animal Models
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    Chapter 55 Ultrasound to CT Image-to-image Translation for Personalized Thyroid Screening
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    Chapter 56 Abstract: Multistage Registration of CT and Biopsy CT Images of Lung Tumors
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    Chapter 57 Abstract: Spatiotemporal Illumination Model for 3D Image Fusion in Optical Coherence Tomography
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    Chapter 58 Abstract: Gradient-based Geometry Learning for Fan-beam CT Reconstruction
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    Chapter 59 Segmentation-inspired Image Registration
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    Chapter 60 Exploring Epipolar Consistency Conditions
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    Chapter 61 Abstract: Enabling Geometry Aware Learning Through Differentiable Epipolar View Translation
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    Chapter 62 Abstract: Realistic Collimated X-ray Image Simulation Pipeline
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    Chapter 63 Abstract: RecycleNet
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    Chapter 64 Self-supervised Vessel Segmentation from X-ray Images using Digitally Reconstructed Radiographs
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    Chapter 65 Influence of imperfect annotations on deep learning segmentation models
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    Chapter 66 Addressing the Bias of the Dice Coefficient
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    Chapter 67 Automated Tooth Instance Segmentation and Pathology Annotation Pipeline for Panoramic Radiographs
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    Chapter 68 Multi-task Learning to Improve Semantic Segmentation of CBCT Scans using Image Reconstruction
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    Chapter 69 Non-specialist Versus Neural Network
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    Chapter 70 Automatic Segmentation of Lymphatic Perfusion in Patients with Congenital Single Ventricle Defects
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    Chapter 71 Data Augmentation for Images of Chronic Foot Wounds
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    Chapter 72 Segmentation of Acute Ischemic Stroke in Native and Enhanced CT using Uncertainty-aware Labels
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    Chapter 73 Preprocessing Evaluation and Benchmark for Multi-structure Segmentation of the Male Pelvis in MRI on the Gold Atlas Dataset
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    Chapter 74 Evaluation of Semi-automatic Segmentation of Liver Tumors for Intra-procedural Planning
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    Chapter 75 Generalizable Kidney Segmentation for Total Volume Estimation
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    Chapter 76 Multi-organ Segmentation in CT from Partially Annotated Datasets using Disentangled Learning
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    Chapter 77 Abstract: Generation of Synthetic 3D Data using Simulated MR Examinations in Augmented Reality
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    Chapter 78 Smoke Classification in Laparoscopic Cholecystectomy Videos Incorporating Spatio-temporal Information
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    Chapter 79 Learning High-resolution Delay-and-sum Beamforming
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    Chapter 80 Neural Network-based Sinogram Upsampling in Real-measured CT Reconstruction
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    Chapter 81 Data Consistent Variational Networks for Zero-shot Self-supervised MR Reconstruction
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    Chapter 82 Deep Image Prior for Spatio-temporal Fluorescence Microscopy Images DECO-DIP
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    Chapter 83 Unified Retrieval for Streamlining Biomedical Image Dataset Aggregation and Standardization
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    Chapter 84 Abstract: Object Detection for Breast Diffusion-weighted Imaging
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    Chapter 85 Abstract: Semi-automatic White Matter Tract Segmentation using Active Learning atTRACTive
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    Chapter 86 Abstract: Metal Inpainting in CBCT Projections using Score-based Generative Model
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    Chapter 87 Abstract: Physics-informed Conditional Autoencoder Approach for Robust Metabolic CEST MRI at 7T
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    Chapter 88 Comparing Image Segmentation Neural Networks for the Analysis of Precision Cut Lung Slices
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    Chapter 89 Comparison of Deep Learning Image-to-image Models for Medical Image Translation
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    Chapter 90 3D Deep Learning-based Boundary Regression of an Age-related Retinal Biomarker in High Resolution OCT
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    Chapter 91 Accelerating Artificial Intelligence-based Whole Slide Image Analysis with an Optimized Preprocessing Pipeline
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    Chapter 92 Abstract: Transient Hemodynamics Prediction using an Efficient Octree-based Deep Learning Model
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    Chapter 93 Abstract: Utility-preserving Measure for Patient Privacy
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Title
Bildverarbeitung für die Medizin 2024
Published by
Springer Fachmedien Wiesbaden, March 2024
DOI 10.1007/978-3-658-44037-4
ISBNs
978-3-65-844036-7, 978-3-65-844037-4
Editors

Maier, Andreas, Deserno, Thomas M., Handels, Heinz, Maier-Hein, Klaus, Palm, Christoph, Tolxdorff, Thomas

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