Medical Image Computing and Computer Assisted Intervention – MICCAI 2020

Table of Contents

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   Book Overview
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   Chapter 1 Improving Amide Proton Transfer-Weighted MRI Reconstruction Using T2-Weighted Images
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   Chapter 2 Compressive MR Fingerprinting Reconstruction with Neural Proximal Gradient Iterations
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   Chapter 3 Active MR k-space Sampling with Reinforcement Learning
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   Chapter 4 Fast Correction of Eddy-Current and Susceptibility-Induced Distortions Using Rotation-Invariant Contrasts
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   Chapter 5 Joint Reconstruction and Bias Field Correction for Undersampled MR Imaging
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   Chapter 6 Joint Total Variation ESTATICS for Robust Multi-parameter Mapping
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   Chapter 7 End-to-End Variational Networks for Accelerated MRI Reconstruction
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   Chapter 8 3d-SMRnet: Achieving a New Quality of MPI System Matrix Recovery by Deep Learning
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    Chapter 9 MRI Image Reconstruction via Learning Optimization Using Neural ODEs
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    Chapter 10 An Evolutionary Framework for Microstructure-Sensitive Generalized Diffusion Gradient Waveforms
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    Chapter 11 Lesion Mask-Based Simultaneous Synthesis of Anatomic and Molecular MR Images Using a GAN
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    Chapter 12 T2 Mapping from Super-Resolution-Reconstructed Clinical Fast Spin Echo Magnetic Resonance Acquisitions
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    Chapter 13 Learned Proximal Networks for Quantitative Susceptibility Mapping
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    Chapter 14 Learning a Gradient Guidance for Spatially Isotropic MRI Super-Resolution Reconstruction
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    Chapter 15 Encoding Metal Mask Projection for Metal Artifact Reduction in Computed Tomography
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    Chapter 16 Acceleration of High-Resolution 3D MR Fingerprinting via a Graph Convolutional Network
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    Chapter 17 Deep Attentive Wasserstein Generative Adversarial Networks for MRI Reconstruction with Recurrent Context-Awareness
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    Chapter 18 Learning MRI k-Space Subsampling Pattern Using Progressive Weight Pruning
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    Chapter 19 Model-Driven Deep Attention Network for Ultra-fast Compressive Sensing MRI Guided by Cross-contrast MR Image
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    Chapter 20 Simultaneous Estimation of X-Ray Back-Scatter and Forward-Scatter Using Multi-task Learning
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    Chapter 21 MIA-Prognosis: A Deep Learning Framework to Predict Therapy Response
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    Chapter 22 $$\text {M}^2\text {Net}$$: Multi-modal Multi-channel Network for Overall Survival Time Prediction of Brain Tumor Patients
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    Chapter 23 Automatic Detection of Free Intra-abdominal Air in Computed Tomography
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    Chapter 24 Prediction of Pathological Complete Response to Neoadjuvant Chemotherapy in Breast Cancer Using Deep Learning with Integrative Imaging, Molecular and Demographic Data
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    Chapter 25 Geodesically Smoothed Tensor Features for Pulmonary Hypertension Prognosis Using the Heart and Surrounding Tissues
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    Chapter 26 Ovarian Cancer Prediction in Proteomic Data Using Stacked Asymmetric Convolution
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    Chapter 27 DeepPrognosis: Preoperative Prediction of Pancreatic Cancer Survival and Surgical Margin via Contrast-Enhanced CT Imaging
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    Chapter 28 Holistic Analysis of Abdominal CT for Predicting the Grade of Dysplasia of Pancreatic Lesions
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    Chapter 29 Feature-Enhanced Graph Networks for Genetic Mutational Prediction Using Histopathological Images in Colon Cancer
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    Chapter 30 Spatial-And-Context Aware (SpACe) “Virtual Biopsy” Radiogenomic Maps to Target Tumor Mutational Status on Structural MRI
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    Chapter 31 CorrSigNet: Learning CORRelated Prostate Cancer SIGnatures from Radiology and Pathology Images for Improved Computer Aided Diagnosis
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    Chapter 32 Preoperative Prediction of Lymph Node Metastasis from Clinical DCE MRI of the Primary Breast Tumor Using a 4D CNN
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    Chapter 33 Learning Differential Diagnosis of Skin Conditions with Co-occurrence Supervision Using Graph Convolutional Networks
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    Chapter 34 Unified Cross-Modality Feature Disentangler for Unsupervised Multi-domain MRI Abdomen Organs Segmentation
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    Chapter 35 Dynamic Memory to Alleviate Catastrophic Forgetting in Continuous Learning Settings
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    Chapter 36 Unlearning Scanner Bias for MRI Harmonisation
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    Chapter 37 Cross-domain Medical Image Translation by Shared Latent Gaussian Mixture Model
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    Chapter 38 Self-supervised Skull Reconstruction in Brain CT Images with Decompressive Craniectomy
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    Chapter 39 X2Teeth: 3D Teeth Reconstruction from a Single Panoramic Radiograph
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    Chapter 40 Domain Adaptation for Ultrasound Beamforming
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    Chapter 41 CDF-Net: Cross-Domain Fusion Network for Accelerated MRI Reconstruction
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    Chapter 42 Improve Unseen Domain Generalization via Enhanced Local Color Transformation
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    Chapter 43 Transport-Based Joint Distribution Alignment for Multi-site Autism Spectrum Disorder Diagnosis Using Resting-State fMRI
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    Chapter 44 Automatic and Interpretable Model for Periodontitis Diagnosis in Panoramic Radiographs
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    Chapter 45 Residual-CycleGAN Based Camera Adaptation for Robust Diabetic Retinopathy Screening
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    Chapter 46 Shape-Aware Meta-learning for Generalizing Prostate MRI Segmentation to Unseen Domains
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    Chapter 47 Automatic Plane Adjustment of Orthopedic Intraoperative Flat Panel Detector CT-Volumes
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    Chapter 48 Unsupervised Graph Domain Adaptation for Neurodevelopmental Disorders Diagnosis
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    Chapter 49 JBFnet - Low Dose CT Denoising by Trainable Joint Bilateral Filtering
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    Chapter 50 MI$$^2$$GAN: Generative Adversarial Network for Medical Image Domain Adaptation Using Mutual Information Constraint
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    Chapter 51 Joint Modeling of Chest Radiographs and Radiology Reports for Pulmonary Edema Assessment
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    Chapter 52 Domain-Specific Loss Design for Unsupervised Physical Training: A New Approach to Modeling Medical ML Solutions
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    Chapter 53 Multiatlas Calibration of Biophysical Brain Tumor Growth Models with Mass Effect
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    Chapter 54 Chest X-Ray Report Generation Through Fine-Grained Label Learning
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    Chapter 55 Peri-Diagnostic Decision Support Through Cost-Efficient Feature Acquisition at Test-Time
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    Chapter 56 A Deep Bayesian Video Analysis Framework: Towards a More Robust Estimation of Ejection Fraction
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    Chapter 57 Distractor-Aware Neuron Intrinsic Learning for Generic 2D Medical Image Classifications
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    Chapter 58 Large-Scale Inference of Liver Fat with Neural Networks on UK Biobank Body MRI
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    Chapter 59 BUNET: Blind Medical Image Segmentation Based on Secure UNET
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    Chapter 60 Temporal-Consistent Segmentation of Echocardiography with Co-learning from Appearance and Shape
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    Chapter 61 Decision Support for Intoxication Prediction Using Graph Convolutional Networks
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    Chapter 62 Latent-Graph Learning for Disease Prediction
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    Chapter 63 BR-GAN: Bilateral Residual Generating Adversarial Network for Mammogram Classification
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    Chapter 64 Cycle Structure and Illumination Constrained GAN for Medical Image Enhancement
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    Chapter 65 Generating Dual-Energy Subtraction Soft-Tissue Images from Chest Radiographs via Bone Edge-Guided GAN
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    Chapter 66 GANDALF: Generative Adversarial Networks with Discriminator-Adaptive Loss Fine-Tuning for Alzheimer’s Disease Diagnosis from MRI
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    Chapter 67 Brain MR to PET Synthesis via Bidirectional Generative Adversarial Network
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    Chapter 68 AGAN: An Anatomy Corrector Conditional Generative Adversarial Network
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    Chapter 69 SteGANomaly: Inhibiting CycleGAN Steganography for Unsupervised Anomaly Detection in Brain MRI
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    Chapter 70 Flow-Based Deformation Guidance for Unpaired Multi-contrast MRI Image-to-Image Translation
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    Chapter 72 Spatial-Intensity Transform GANs for High Fidelity Medical Image-to-Image Translation
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    Chapter 73 Graded Image Generation Using Stratified CycleGAN
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    Chapter 74 Prediction of Plantar Shear Stress Distribution by Conditional GAN with Attention Mechanism