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Information Processing in Medical Imaging

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Cover of 'Information Processing in Medical Imaging'

Table of Contents

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    Book Overview
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    Chapter 1 Resolving Quantitative MRI Model Degeneracy with Machine Learning via Training Data Distribution Design
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    Chapter 2 Subtype and Stage Inference with Timescales
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    Chapter 3 HoloBrain : A Harmonic Holography for Self-organized Brain Function
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    Chapter 4 Species-Shared and -Specific Brain Functional Connectomes Revealed by Shared-Unique Variational Autoencoder
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    Chapter 5 mSPD-NN: A Geometrically Aware Neural Framework for Biomarker Discovery from Functional Connectomics Manifolds
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    Chapter 6 Diffusion Model Based Semi-supervised Learning on Brain Hemorrhage Images for Efficient Midline Shift Quantification
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    Chapter 7 Don’t PANIC: Prototypical Additive Neural Network for Interpretable Classification of Alzheimer’s Disease
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    Chapter 8 Filtered Trajectory Recovery: A Continuous Extension to Event-Based Model for Alzheimer’s Disease Progression Modeling
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    Chapter 9 Live Image-Based Neurosurgical Guidance and Roadmap Generation Using Unsupervised Embedding
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    Chapter 10 Meta-information-Aware Dual-path Transformer for Differential Diagnosis of Multi-type Pancreatic Lesions in Multi-phase CT
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    Chapter 11 MetaViT: Metabolism-Aware Vision Transformer for Differential Diagnosis of Parkinsonism with  $$^{18}$$ 18 F-FDG PET
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    Chapter 12 Multi-task Multi-instance Learning for Jointly Diagnosis and Prognosis of Early-Stage Breast Invasive Carcinoma from Whole-Slide Pathological Images
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    Chapter 13 On Fairness of Medical Image Classification with Multiple Sensitive Attributes via Learning Orthogonal Representations
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    Chapter 14 Pixel-Level Explanation of Multiple Instance Learning Models in Biomedical Single Cell Images
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    Chapter 15 Transient Hemodynamics Prediction Using an Efficient Octree-Based Deep Learning Model
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    Chapter 16 Weakly Semi-supervised Detection in Lung Ultrasound Videos
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    Chapter 17 sEBM: Scaling Event Based Models to Predict Disease Progression via Implicit Biomarker Selection and Clustering
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    Chapter 18 Source-Free Domain Adaptation for Medical Image Segmentation via Selectively Updated Mean Teacher
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    Chapter 19 UPL-TTA: Uncertainty-Aware Pseudo Label Guided Fully Test Time Adaptation for Fetal Brain Segmentation
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    Chapter 20 Unsupervised Adaptation of Polyp Segmentation Models via Coarse-to-Fine Self-Supervision
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    Chapter 21 Edge-Based Graph Neural Networks for Cell-Graph Modeling and Prediction
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    Chapter 22 Heterogeneous Graph Convolutional Neural Network via Hodge-Laplacian for Brain Functional Data
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    Chapter 23 Modeling the Shape of the Brain Connectome via Deep Neural Networks
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    Chapter 24 TetCNN: Convolutional Neural Networks on Tetrahedral Meshes
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    Chapter 25 BInGo: Bayesian Intrinsic Groupwise Registration via Explicit Hierarchical Disentanglement
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    Chapter 26 Learning Probabilistic Piecewise Rigid Atlases of Model Organisms via Generative Deep Networks
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    Chapter 27 Harmonizing Flows: Unsupervised MR Harmonization Based on Normalizing Flows
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    Chapter 28 Vicinal Feature Statistics Augmentation for Federated 3D Medical Volume Segmentation
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    Chapter 29 S2DGAN: Generating Dual-energy CT from Single-energy CT for Real-time Determination of Intracerebral Hemorrhage
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    Chapter 30 SADM: Sequence-Aware Diffusion Model for Longitudinal Medical Image Generation
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    Chapter 31 An Unsupervised Framework for Joint MRI Super Resolution and Gibbs Artifact Removal
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    Chapter 32 OTRE: Where Optimal Transport Guided Unpaired Image-to-Image Translation Meets Regularization by Enhancing
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    Chapter 33 Super-Resolution Reconstruction of Fetal Brain MRI with Prior Anatomical Knowledge
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    Chapter 34 Q2ATransformer: Improving Medical VQA via an Answer Querying Decoder
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    Chapter 35 Using Multiple Instance Learning to Build Multimodal Representations
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    Chapter 36 X-TRA: Improving Chest X-ray Tasks with Cross-Modal Retrieval Augmentation
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    Chapter 37 Differentiable Gamma Index-Based Loss Functions: Accelerating Monte-Carlo Radiotherapy Dose Simulation
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    Chapter 38 Scalable Orthonormal Projective NMF via Diversified Stochastic Optimization
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    Chapter 39 Deep Physics-Informed Super-Resolution of Cardiac 4D-Flow MRI
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    Chapter 40 Fast-MC-PET: A Novel Deep Learning-Aided Motion Correction and Reconstruction Framework for Accelerated PET
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    Chapter 41 MeshDeform: Surface Reconstruction of Subcortical Structures via Human Brain MRI
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    Chapter 42 Neural Implicit k-Space for Binning-Free Non-Cartesian Cardiac MR Imaging
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    Chapter 43 Geometric Deep Learning for Unsupervised Registration of Diffusion Magnetic Resonance Images
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    Chapter 44 MetaMorph: Learning Metamorphic Image Transformation with Appearance Changes
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    Chapter 45 NeurEPDiff: Neural Operators to Predict Geodesics in Deformation Spaces
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    Chapter 46 Non-rigid Medical Image Registration using Physics-informed Neural Networks
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    Chapter 47 POLAFFINI: Efficient Feature-Based Polyaffine Initialization for Improved Non-linear Image Registration
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    Chapter 48 Better Generalization of White Matter Tract Segmentation to Arbitrary Datasets with Scaled Residual Bootstrap
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    Chapter 49 Bootstrapping Semi-supervised Medical Image Segmentation with Anatomical-Aware Contrastive Distillation
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    Chapter 50 DTU-Net: Learning Topological Similarity for Curvilinear Structure Segmentation
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    Chapter 51 HALOS: Hallucination-Free Organ Segmentation After Organ Resection Surgery
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    Chapter 52 Human-Machine Interactive Tissue Prototype Learning for Label-Efficient Histopathology Image Segmentation
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    Chapter 53 Improved Segmentation of Deep Sulci in Cortical Gray Matter Using a Deep Learning Framework Incorporating Laplace’s Equation
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    Chapter 54 Med-NCA: Robust and Lightweight Segmentation with Neural Cellular Automata
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    Chapter 55 Mixup-Privacy: A Simple yet Effective Approach for Privacy-Preserving Segmentation
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    Chapter 56 Rethinking Boundary Detection in Deep Learning Models for Medical Image Segmentation
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    Chapter 57 Token Sparsification for Faster Medical Image Segmentation
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    Chapter 58 blob loss: Instance Imbalance Aware Loss Functions for Semantic Segmentation
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    Chapter 59 Noise2Contrast: Multi-contrast Fusion Enables Self-supervised Tomographic Image Denoising
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    Chapter 60 Precise Location Matching Improves Dense Contrastive Learning in Digital Pathology
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    Chapter 61 A Surface-Normal Based Neural Framework for Colonoscopy Reconstruction
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    Chapter 62 Hierarchical Geodesic Polynomial Model for Multilevel Analysis of Longitudinal Shape
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    Chapter 63 Model-Informed Deep Learning for Surface Segmentation in Medical Imaging
Attention for Chapter 23: Modeling the Shape of the Brain Connectome via Deep Neural Networks
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Chapter title
Modeling the Shape of the Brain Connectome via Deep Neural Networks
Chapter number 23
Book title
Information Processing in Medical Imaging
Published by
Springer, Cham, January 2023
DOI 10.1007/978-3-031-34048-2_23
Book ISBNs
978-3-03-134047-5, 978-3-03-134048-2
Authors

Dai, Haocheng, Bauer, Martin, Fletcher, P. Thomas, Joshi, Sarang

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Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 100%
Readers by discipline Count As %
Mathematics 1 100%