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Medical Image Computing and Computer Assisted Intervention – MICCAI 2023

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Table of Contents

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    Book Overview
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    Chapter 1 CDiffMR: Can We Replace the Gaussian Noise with K-Space Undersampling for Fast MRI?
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    Chapter 2 Learning Deep Intensity Field for Extremely Sparse-View CBCT Reconstruction
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    Chapter 3 Revealing Anatomical Structures in PET to Generate CT for Attenuation Correction
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    Chapter 4 LLCaps: Learning to Illuminate Low-Light Capsule Endoscopy with Curved Wavelet Attention and Reverse Diffusion
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    Chapter 5 An Explainable Deep Framework: Towards Task-Specific Fusion for Multi-to-One MRI Synthesis
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    Chapter 6 Structure-Preserving Synthesis: MaskGAN for Unpaired MR-CT Translation
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    Chapter 7 Alias-Free Co-modulated Network for Cross-Modality Synthesis and Super-Resolution of MR Images
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    Chapter 8 Multi-perspective Adaptive Iteration Network for Metal Artifact Reduction
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    Chapter 9 Noise Conditioned Weight Modulation for Robust and Generalizable Low Dose CT Denoising
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    Chapter 10 Low-Dose CT Image Super-Resolution Network with Dual-Guidance Feature Distillation and Dual-Path Content Communication
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    Chapter 11 MEPNet: A Model-Driven Equivariant Proximal Network for Joint Sparse-View Reconstruction and Metal Artifact Reduction in CT Images
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    Chapter 12 MoCoSR: Respiratory Motion Correction and Super-Resolution for 3D Abdominal MRI
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    Chapter 13 Estimation of 3T MR Images from 1.5T Images Regularized with Physics Based Constraint
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    Chapter 14 Feature-Conditioned Cascaded Video Diffusion Models for Precise Echocardiogram Synthesis
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    Chapter 15 DULDA: Dual-Domain Unsupervised Learned Descent Algorithm for PET Image Reconstruction
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    Chapter 16 Transformer-Based Dual-Domain Network for Few-View Dedicated Cardiac SPECT Image Reconstructions
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    Chapter 17 Learned Alternating Minimization Algorithm for Dual-Domain Sparse-View CT Reconstruction
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    Chapter 18 TriDo-Former: A Triple-Domain Transformer for Direct PET Reconstruction from Low-Dose Sinograms
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    Chapter 19 Computationally Efficient 3D MRI Reconstruction with Adaptive MLP
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    Chapter 20 Building a Bridge: Close the Domain Gap in CT Metal Artifact Reduction
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    Chapter 21 Geometric Ultrasound Localization Microscopy
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    Chapter 22 Global k-Space Interpolation for Dynamic MRI Reconstruction Using Masked Image Modeling
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    Chapter 23 Contrastive Diffusion Model with Auxiliary Guidance for Coarse-to-Fine PET Reconstruction
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    Chapter 24 FreeSeed: Frequency-Band-Aware and Self-guided Network for Sparse-View CT Reconstruction
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    Chapter 25 Topology-Preserving Computed Tomography Super-Resolution Based on Dual-Stream Diffusion Model
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    Chapter 26 MRIS: A Multi-modal Retrieval Approach for Image Synthesis on Diverse Modalities
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    Chapter 27 Dual Arbitrary Scale Super-Resolution for Multi-contrast MRI
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    Chapter 28 Dual Domain Motion Artifacts Correction for MR Imaging Under Guidance of K-space Uncertainty
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    Chapter 29 Trackerless Volume Reconstruction from Intraoperative Ultrasound Images
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    Chapter 30 Accurate Multi-contrast MRI Super-Resolution via a Dual Cross-Attention Transformer Network
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    Chapter 31 DiffuseIR: Diffusion Models for Isotropic Reconstruction of 3D Microscopic Images
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    Chapter 32 Physics-Informed Neural Networks for Tissue Elasticity Reconstruction in Magnetic Resonance Elastography
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    Chapter 33 CT Kernel Conversion Using Multi-domain Image-to-Image Translation with Generator-Guided Contrastive Learning
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    Chapter 34 ASCON: Anatomy-Aware Supervised Contrastive Learning Framework for Low-Dose CT Denoising
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    Chapter 35 Generating High-Resolution 3D CT with 12-Bit Depth Using a Diffusion Model with Adjacent Slice and Intensity Calibration Network
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    Chapter 36 3D Teeth Reconstruction from Panoramic Radiographs Using Neural Implicit Functions
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    Chapter 37 DisC-Diff: Disentangled Conditional Diffusion Model for Multi-contrast MRI Super-Resolution
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    Chapter 38 CoLa-Diff: Conditional Latent Diffusion Model for Multi-modal MRI Synthesis
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    Chapter 39 JCCS-PFGM: A Novel Circle-Supervision Based Poisson Flow Generative Model for Multiphase CECT Progressive Low-Dose Reconstruction with Joint Condition
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    Chapter 40 Motion Compensated Unsupervised Deep Learning for 5D MRI
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    Chapter 41 Differentiable Beamforming for Ultrasound Autofocusing
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    Chapter 42 InverseSR: 3D Brain MRI Super-Resolution Using a Latent Diffusion Model
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    Chapter 43 Unified Brain MR-Ultrasound Synthesis Using Multi-modal Hierarchical Representations
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    Chapter 44 S3M: Scalable Statistical Shape Modeling Through Unsupervised Correspondences
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    Chapter 45 RESToring Clarity: Unpaired Retina Image Enhancement Using Scattering Transform
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    Chapter 46 Noise2Aliasing: Unsupervised Deep Learning for View Aliasing and Noise Reduction in 4DCBCT
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    Chapter 47 Self-supervised MRI Reconstruction with Unrolled Diffusion Models
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    Chapter 48 LightNeuS: Neural Surface Reconstruction in Endoscopy Using Illumination Decline
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    Chapter 49 Reflectance Mode Fluorescence Optical Tomography with Consumer-Grade Cameras
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    Chapter 50 Solving Low-Dose CT Reconstruction via GAN with Local Coherence
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    Chapter 51 Co-learning Semantic-Aware Unsupervised Segmentation for Pathological Image Registration
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    Chapter 52 $$\mathrm {H^{2}}$$ H 2 GM: A Hierarchical Hypergraph Matching Framework for Brain Landmark Alignment
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    Chapter 53 SAMConvex: Fast Discrete Optimization for CT Registration Using Self-supervised Anatomical Embedding and Correlation Pyramid
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    Chapter 54 CycleSTTN: A Learning-Based Temporal Model for Specular Augmentation in Endoscopy
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    Chapter 55 Importance Weighted Variational Cardiac MRI Registration Using Transformer and Implicit Prior
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    Chapter 56 Make-A-Volume: Leveraging Latent Diffusion Models for Cross-Modality 3D Brain MRI Synthesis
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    Chapter 57 PIViT: Large Deformation Image Registration with Pyramid-Iterative Vision Transformer
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    Chapter 58 GSMorph: Gradient Surgery for Cine-MRI Cardiac Deformable Registration
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    Chapter 59 Progressively Coupling Network for Brain MRI Registration in Few-Shot Situation
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    Chapter 60 Nonuniformly Spaced Control Points Based on Variational Cardiac Image Registration
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    Chapter 61 Implicit Neural Representations for Joint Decomposition and Registration of Gene Expression Images in the Marmoset Brain
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    Chapter 62 FSDiffReg: Feature-Wise and Score-Wise Diffusion-Guided Unsupervised Deformable Image Registration for Cardiac Images
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    Chapter 63 A Denoised Mean Teacher for Domain Adaptive Point Cloud Registration
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    Chapter 64 Unsupervised 3D Registration Through Optimization-Guided Cyclical Self-training
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    Chapter 65 Inverse Consistency by Construction for Multistep Deep Registration
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    Chapter 66 X2Vision: 3D CT Reconstruction from Biplanar X-Rays with Deep Structure Prior
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    Chapter 67 Fast Reconstruction for Deep Learning PET Head Motion Correction
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    Chapter 68 An Unsupervised Multispectral Image Registration Network for Skin Diseases
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    Chapter 69 CortexMorph: Fast Cortical Thickness Estimation via Diffeomorphic Registration Using VoxelMorph
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    Chapter 70 ModeT: Learning Deformable Image Registration via Motion Decomposition Transformer
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    Chapter 71 Non-iterative Coarse-to-Fine Transformer Networks for Joint Affine and Deformable Image Registration
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    Chapter 72 DISA: DIfferentiable Similarity Approximation for Universal Multimodal Registration
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    Chapter 73 StructuRegNet: Structure-Guided Multimodal 2D-3D Registration
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    Chapter 74 X-Ray to CT Rigid Registration Using Scene Coordinate Regression
Overall attention for this book and its chapters
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Title
Medical Image Computing and Computer Assisted Intervention – MICCAI 2023
Published by
Springer Nature Switzerland, October 2023
DOI 10.1007/978-3-031-43999-5
ISBNs
978-3-03-143998-8, 978-3-03-143999-5
Editors

Greenspan, Hayit, Madabhushi, Anant, Mousavi, Parvin, Salcudean, Septimiu, Duncan, James, Syeda-Mahmood, Tanveer, Taylor, Russell

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