Information Processing in Medical Imaging: 27th International Conference, IPMI 2021, Virtual Event, June 28–June 30, 2021, ProceedingsAasa Feragen, Stefan Sommer, Julia Schnabel, Mads Nielsen This book constitutes the proceedings of the 27th International Conference on Information Processing in Medical Imaging, IPMI 2021, which was held online during June 28-30, 2021. The conference was originally planned to take place in Bornholm, Denmark, but changed to a virtual format due to the COVID-19 pandemic. The 59 full papers presented in this volume were carefully reviewed and selected from 200 submissions. They were organized in topical sections as follows: registration; causal models and interpretability; generative modelling; shape; brain connectivity; representation learning; segmentation; sequential modelling; learning with few or low quality labels; uncertainty quantification and generative modelling; and deep learning. |
Contents
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Causal Models and Interpretability | 43 |
Estimation of Causal Effects in the Presence of Unobserved Confounding in the Alzheimers Continuum | 44 |
MultipleShooting Adjoint Method for WholeBrain Dynamic Causal Modeling | 58 |
Training Deep Models to Interpret Deep Models | 71 |
Generative Modelling | 83 |
Segmenting TwoDimensional Structures with Strided Tensor Networks | 399 |
Distributional Gaussian Process Layers for Outlier Detection in Image Segmentation | 415 |
A 3D EndToEnd Hybrid Multiatlas Segmentation and Deep Learning Pipeline | 428 |
A Benchmark for Cervical Lesion Segmentation | 440 |
Generalized Organ Segmentation by Imitating OneShot Reasoning Using Anatomical Correlation | 452 |
Adversarial Ensemble Learning for 3D Complete Renal Structures Segmentation | 465 |
A Case Study of Myocardial Segmentation in Contrast Echocardiography | 478 |
A New Bidirectional Unsupervised Domain Adaptation Segmentation Framework | 492 |
Efficient Automatic Augmentation via Regularized Adversarial Training | 85 |
Blind Stain Separation Using ModelAware Generative Learning and Its Applications on Fluorescence Microscopy Images | 98 |
MR Slice Profile Estimation by Learning to Match Internal Patch Distributions | 108 |
Shape | 120 |
Partial Matching in the Space of Varifolds | 123 |
Nested Grassmanns for Dimensionality Reduction with Applications to Shape Analysis | 136 |
Hierarchical MorphologyGuided Tooth Instance Segmentation from CBCT Images | 150 |
Cortical Morphometry Analysis Based on Worst Transportation Theory | 163 |
Geodesic Bscore for Improved Assessment of Knee Osteoarthritis | 177 |
Brain Connectivity | 189 |
Cytoarchitecture Measurements in Brain Gray Matter Using LikelihoodFree Inference | 190 |
Nonisomorphic Intermodality Graph Alignment and Synthesis for Holistic Brain Mapping | 203 |
Knowledge Transfer for FewShot Segmentation of Novel White Matter Tracts | 216 |
Discovering Spreading Pathways of Neuropathological Events in Alzheimers Disease Using Harmonic Wavelets | 228 |
A Multiscale Spatial and Temporal Attention Network on Dynamic Connectivity to Localize the Eloquent Cortex in Brain Tumor Patients | 241 |
Learning Multiresolution Graph Edge Embedding for Discovering Brain Network Dysfunction in Neurological Disorders | 253 |
Learning Sparse Orientation Distribution Functions from Spherical Data | 267 |
Geodesic Tubes for Uncertainty Quantification in Diffusion MRI | 279 |
Structural Connectome Atlas Construction in the Space of Riemannian Metrics | 291 |
A Higher Order ManifoldValued Convolutional Neural Network with Applications to Diffusion MRI Processing | 304 |
Representation Learning | 318 |
Representation Disentanglement for Multimodal Brain MRI Analysis | 319 |
Variational Knowledge Distillation for Disease Classification in Chest XRays | 334 |
InformationBased Disentangled Representation Learning for Unsupervised MR Harmonization | 346 |
AnatomyAware Artifact Disentanglement and Segmentation Network for Unpaired Segmentation Artifact Reduction and Modality Translation | 360 |
Unsupervised Learning of Local Discriminative Representation for Medical Images | 373 |
A Topological Biomarker for Predicting Treatment Response in Breast Cancer | 386 |
Segmentation | 398 |
3D Nucleus Instance Segmentation for WholeBrain Microscopy Images | 504 |
Confident Students Become Masters | 517 |
Sequential Modelling | 530 |
Future Frame Prediction for RobotAssisted Surgery | 531 |
Inferring Relative Pressures from TimeVarying 3D Fluid Flow Velocities | 545 |
Lighting Enhancement Aids Reconstruction of Colonoscopic Surfaces | 559 |
Mixture Modeling for Identifying Subtypes in Disease Course Mapping | 571 |
The Temporal EventBased Model of Disease Progression | 583 |
Learning with Few or Low Quality Labels | 596 |
Knowledge Distillation with Adaptive Asymmetric Label Sharpening for Semisupervised Fracture Detection in Chest XRays | 597 |
SemiSupervised Screening of COVID19 from Positive and Unlabeled Data with Constraint NonNegative Risk Estimator | 611 |
Deep MCEM for WeaklySupervised Learning to Jointly Segment and Recognize Objects Using Very Few Expert Segmentations | 624 |
Weakly Supervised Deep Learning for Aortic Valve Finite Element Mesh Generation from 3D CT Images | 637 |
Continual Active Learning for Efficient Adaptation of Machine Learning Models to Changing Image Acquisition | 649 |
Multimodal Selfsupervised Learning for Medical Image Analysis | 661 |
Uncertainty Quantification and Generative Modelling | 674 |
Capturing Uncertainty from Expert Annotations | 675 |
Quantile Regression for Uncertainty Estimation in VAEs with Applications to Brain Lesion Detection | 689 |
A Probabilistic Framework for Modeling the Variability Across Federated Datasets | 701 |
Is Segmentation Uncertainty Useful? | 715 |
Deep Learning | 727 |
Principled Ultrasound Data Augmentation for Classification of Standard Planes | 729 |
Adversarial Regression Learning for Bone Age Estimation | 742 |
Learning Image Quality Assessment by Reinforcing Task Amenable Data Selection | 755 |
Collaborative Multiagent Reinforcement Learning for Landmark Localization Using Continuous Action Space | 767 |
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accuracy adversarial algorithm Alzheimer’s disease analysis anatomical annotations applied approach architecture arXiv arXiv preprint autoencoder baseline boundary brain graphs CBCT Cham classification clinical colonoscopy Computer Vision connectome convolutional data augmentation dataset deep learning deformation denote detection Dice diffeomorphic discriminator distribution dMRI domain encoder estimation evaluate feature Feragen fODF framework Gaussian geodesic geometric gradient ground truth harmonic Human Connectome HyperMorph hyperparameter image registration image segmentation improve input IPMI labels latent layer lesion LNCS loss function manifold masks matrix medical image metric MICCAI modality neural networks Neuroimage node optimization outperforms output parameters performance pixels prediction proposed method PSNR reconstruction regions registration regression representation Riemannian Riemannian metrics samples scans semi-supervised shape simulated slice space spatial structures supervised target task tensor network tion tooth topological tractography tumor U-Net unsupervised validation vector visual voxel