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Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 Workshops

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Cover of 'Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 Workshops'

Table of Contents

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    Book Overview
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    Chapter 1 Learning Dynamic MRI Reconstruction with Convolutional Network Assisted Reconstruction Swin Transformer
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    Chapter 2 A Groupwise Method for the Reconstruction of Hypergraph Representation of Resting-State Functional Networks
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    Chapter 3 MomentaMorph: Unsupervised Spatial-Temporal Registration with Momenta, Shooting, and Correction
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    Chapter 4 FusionNet: A Frame Interpolation Network for 4D Heart Models
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    Chapter 5 A New Large-Scale Video Dataset of the Eyelid Opening Degree for Deep Regression-Based PERCLOS Estimation
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    Chapter 6 A Hierarchical Descriptor Framework for On-the-Fly Anatomical Location Matching Between Longitudinal Studies
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    Chapter 7 A Two-Species Model for Abnormal Tau Dynamics in Alzheimer’s Disease
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    Chapter 8 Outlier Robust Disease Classification via Stochastic Confidence Network
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    Chapter 9 Efficient Registration of Longitudinal Studies for Follow-Up Lesion Assessment by Exploiting Redundancy and Composition of Deformations
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    Chapter 10 Graph-Based Multimodal Multi-lesion DLBCL Treatment Response Prediction from PET Images
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    Chapter 11 RPTK: The Role of Feature Computation on Prediction Performance
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    Chapter 12 $$M^{2}$$ M 2 Fusion: Bayesian-Based Multimodal Multi-level Fusion on Colorectal Cancer Microsatellite Instability Prediction
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    Chapter 13 Query Re-Training for Modality-Gnostic Incomplete Multi-modal Brain Tumor Segmentation
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    Chapter 14 MAD: Modality Agnostic Distance Measure for Image Registration
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    Chapter 15 Multimodal Context-Aware Detection of Glioma Biomarkers Using MRI and WSI
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    Chapter 16 Modality Cycles with Masked Conditional Diffusion for Unsupervised Anomaly Segmentation in MRI
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    Chapter 17 BreastRegNet: A Deep Learning Framework for Registration of Breast Faxitron and Histopathology Images
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    Chapter 18 Osteoarthritis Diagnosis Integrating Whole Joint Radiomics and Clinical Features for Robust Learning Models Using Biological Privileged Information
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    Chapter 19 Graph-Based Counterfactual Causal Inference Modeling for Neuroimaging Analysis
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    Chapter 20 Synthesising Brain Iron Maps from Quantitative Magnetic Resonance Images Using Interpretable Generative Adversarial Networks
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    Chapter 21 Identifying Shared Neuroanatomic Architecture Between Cognitive Traits Through Multiscale Morphometric Correlation Analysis
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    Chapter 22 Noisy-Consistent Pseudo Labeling Model for Semi-supervised Skin Lesion Classification
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    Chapter 23 Hessian-Based Similarity Metric for Multimodal Medical Image Registration
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    Chapter 24 Hybrid Multimodality Fusion with Cross-Domain Knowledge Transfer to Forecast Progression Trajectories in Cognitive Decline
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    Chapter 25 MuST: Multimodal Spatiotemporal Graph-Transformer for Hospital Readmission Prediction
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    Chapter 26 Groupwise Image Registration with Atlas of Multiple Resolutions Refined at Test Phase
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    Chapter 27 Anatomy-Aware Lymph Node Detection in Chest CT Using Implicit Station Stratification
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    Chapter 28 Leveraging Contrastive Learning with SimSiam for the Classification of Primary and Secondary Liver Cancers
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    Chapter 29 Operating Critical Machine Learning Models in Resource Constrained Regimes
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    Chapter 30 Data Efficiency of Segment Anything Model for Optic Disc and Cup Segmentation
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    Chapter 31 Anisotropic Hybrid Networks for Liver Tumor Segmentation with Uncertainty Quantification
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    Chapter 32 PLMVQA: Applying Pseudo Labels for Medical Visual Question Answering with Limited Data
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    Chapter 33 SAM-U: Multi-box Prompts Triggered Uncertainty Estimation for Reliable SAM in Medical Image
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Title
Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 Workshops
Published by
Springer Nature Switzerland, December 2023
DOI 10.1007/978-3-031-47425-5
ISBNs
978-3-03-147424-8, 978-3-03-147425-5
Editors

Woo, Jonghye, Hering, Alessa, Silva, Wilson, Li, Xiang, Fu, Huazhu, Liu, Xiaofeng, Xing, Fangxu, Purushotham, Sanjay, Mathai, Tejas S., Mukherjee, Pritam, De Grauw, Max, Beets Tan, Regina, Corbetta, Valentina, Kotter, Elmar, Reyes, Mauricio, Baumgartner, Christian F., Li, Quanzheng, Leahy, Richard, Dong, Bin, Chen, Hao, Huo, Yuankai, Lv, Jinglei, Xu, Xinxing, Li, Xiaomeng, Mahapatra, Dwarikanath, Cheng, Li, Petitjean, Caroline, Presles, Benoît

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