Information Processing in Medical Imaging 27th International Conference, IPMI 2021, Virtual Event, June 28–June 30, 2021, Proceedings /
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 COVI...
| Corporate Author: | |
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| Other Authors: | , , , |
| Language: | English |
| Published: |
Cham :
Springer International Publishing : Imprint: Springer,
2021.
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| Edition: | 1st ed. 2021. |
| Series: | Image Processing, Computer Vision, Pattern Recognition, and Graphics ;
12729 |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/978-3-030-78191-0 |
Table of Contents:
- Registration
- Hypermorph: Amortized Hyperparameter Learning for Image Registration
- Deep learning based geometric registration for medical images: How accurate can we get without visual features
- Diffeomorphic registration with density changes for the analysis of imbalanced shapes
- Estimation of Causal Effects in the Presence of Unobserved Confounding in the Alzheimer's Continuum
- Multiple-shooting adjoint method for whole-brain dynamic causal modeling
- Going Beyond Saliency Maps: Training Deep Models to Interpret Deep Models
- Enabling Data Diversity: Efficient Automatic Augmentation via Regularized Adversarial Training
- Blind stain separation using model-aware generative learning and its applications on fluorescence microscopy images
- MR Slice Profile Estimation by Learning to Match Internal Patch Distributions
- Partial Matching in the Space of Varifolds
- Nested Grassmanns for Dimensionality Reduction with Applications to Shape Analysis
- Hierarchical Morphology-Guided Tooth Instance Segmentation from CBCT Images
- Cortical Morphometry Analysis based on Worst Transportation Theory
- Geodesic B-Score for Improved Assessment of Knee Osteoarthritis
- Cytoarchitecture Measurements in Brain Gray Matter using Likelihood-Free Inference
- Non-isomorphic Inter-modality Graph Alignment and Synthesis for Holistic Brain Mapping
- Knowledge Transfer for Few-shot Segmentation of Novel White Matter Tracts
- Discovering Spreading Pathways of Neuropathological Events in Alzheimer’s Disease Using Harmonic Wavelets
- A Multi-Scale Spatial and Temporal Attention Network on Dynamic Connectivity to Localize The Eloquent Cortex in Brain Tumor Patients
- Learning Multi-resolution Graph Edge Embedding for Discovering Brain Network Dysfunction in Neurological Disorders
- Equivariant Spherical Deconvolution: Learning Sparse Orientation Distribution Functions from Spherical Data
- Geodesic Tubes for Uncertainty Quantification in Diffusion MRI
- Structural Connectome Atlas Construction in the Space of Riemannian Metrics
- A Higher Order Manifold-valued Convolutional Neural Network with Applications in Diffusion MRI Processing
- Representation Disentanglement for Multi-modal Brain MR Analysis
- Variational Knowledge Distillation for Disease Classification in Chest X-Rays
- Information-based Disentangled Representation Learning for Unsupervised MR Harmonization
- A 3D SegNet: Anatomy-aware artifact disentanglement and segmentation network for unpaired segmentation, artifact reduction, and modality translation
- Unsupervised Learning of Local Discriminative Representation for Medical Images
- TopoTxR: A Topological Biomarker for Predicting Treatment Response in Breast Cancer
- Segmenting two-dimensional structures with strided tensor networks
- Distributional Gaussian Process Layers for Outlier Detection in Image Segmentation
- Deep Label Fusion: A 3D End-to-End Hybrid Multi-Atlas Segmentation and Deep Learning Pipeline
- Feature Library: A Benchmark for Cervical Lesion Segmentation
- Generalized Organ Segmentation by Imitating One-shot Reasoning using Anatomical Correlation.-EnMcGAN: Adversarial Ensemble Learning for 3D Complete Renal Structures Segmentation
- Segmentation with Multiple Acceptable Annotations: A Case Study of Myocardial Segmentation in Contrast Echocardiography
- A New Bidirectional Unsupervised Domain Adaptation Segmentation Framework
- 3D Nucleus Instance Segmentation for Whole-Brain Microscopy Images
- Teach me to segment with mixed-supervision: confident students become masters
- Sequential modelling
- Future Frame Prediction for Robot-assisted Surgery
- Velocity-To-Pressure (V2P) - Net: Inferring Relative Pressures from Time-Varying 3D Fluid Flow Velocities
- Lighting Enhancement Aids Reconstruction of Colonoscopic Surfaces
- Mixture modeling for identifying subtypes in disease course mapping
- Learning transition times in event sequences: the temporal event-based model of disease progression
- Learning with few or low quality labels
- Knowledge Distillation with Adaptive Asymmetric Label Sharpening for Semi-supervised Fracture Detection in Chest X-rays
- Semi-Supervised Screening of COVID-19 from Positive and Unlabeled Data with Constraint Non-Negative Risk Estimator
- Deep MCEM for Weakly-Supervised Learning to Jointly Segment and Recognize Objects using Very Few Expert Segmentations
- Weakly Supervised Deep Learning for Aortic Valve Finite Element Mesh Generation from 3D CT Images
- Continual Active Learning for Efficient Adaptation of Machine Learning Models to Changing Image Acquisition
- Multimodal Self-Supervised Learning for Medical Image Analysis
- Uncertainty Quantification and Generative Modelling
- Spatially Varying Label Smoothing: Capturing Uncertainty from Expert Annotations
- Quantile Regression for Uncertainty Estimation in VAEs with Applications to Brain Lesion Detection
- A Probabilistic Framework for Modeling the Variability Across Federated Datasets of Heterogeneous Multi-View Observations
- Is segmentation uncertainty useful?
- Principled Ultrasound Data Augmentation for Classification of Standard Planes
- Adversarial Regression Learning for Bone Age Estimation
- Learning image quality assessment by reinforcing task amenable data selection
- Collaborative Multi-Agent Reinforcement Learning for Landmark Localization Using Continuous Action Space.