Del 12729 - Lecture Notes in Computer Science

Information Processing in Medical Imaging

27th International Conference, IPMI 2021, Virtual Event, June 28–June 30, 2021, Proceedings

Häftad, Engelska, 2021

AvAasa Feragen,Stefan Sommer,Julia Schnabel,Mads Nielsen

1 549 kr

Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt för medlemmar vid köp för minst 249 kr.

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.

Produktinformation

Utgivningsdatum2021-06-21
Mått155 x 235 x 43 mm
Vikt1 194 g
FormatHäftad
SpråkEngelska
SerieLecture Notes in Computer Science
Antal sidor782
FörlagSpringer Nature Switzerland AG
ISBN9783030781903

Tillhör följande kategorier

Systemvetenskap och AI inom Data och IT
Medicinsk bildbehandling inom Medicin

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.

Du kanske också är intresserad av

Del 11846

Multimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy

Dajiang Zhu, Jingwen Yan, Heng Huang, Li Shen, Paul M. Thompson, Carl-Fredrik Westin, Xavier Pennec, Sarang Joshi, Mads Nielsen, Tom Fletcher, Stanley Durrleman, Stefan Sommer

Häftad

709 kr

Del 10551

Graphs in Biomedical Image Analysis, Computational Anatomy and Imaging Genetics

M. Jorge Cardoso, Tal Arbel, Enzo Ferrante, Xavier Pennec, Adrian V. Dalca, Sarah Parisot, Sarang Joshi, Nematollah K. Batmanghelich, Aristeidis Sotiras, Mads Nielsen, Mert R. Sabuncu, Tom Fletcher, Li Shen, Stanley Durrleman, Stefan Sommer, Adrian Dalca

Häftad

709 kr

Del 14337

Simplifying Medical Ultrasound

Bernhard Kainz, Alison Noble, Julia Schnabel, Bishesh Khanal, Johanna Paula Müller, Thomas Day, Johanna Paula Muller

Häftad

779 kr

Del 13386

Biomedical Image Registration

Alessa Hering, Julia Schnabel, Miaomiao Zhang, Enzo Ferrante, Mattias Heinrich, Daniel Rueckert

Häftad

969 kr

Del 12928

Predictive Intelligence in Medicine

Islem Rekik, Ehsan Adeli, Sang Hyun Park, Julia Schnabel

Häftad

889 kr

Trabant

Stefan Sommer

Inbunden

369 kr

Accelerating Digitalization

Harald Proff, Claudia Ahrens, Wencke Neuroth, Heike Proff, Florian Knobbe, Gregor Szybisty, Stefan Sommer

Inbunden

709 kr

Riemannian Geometric Statistics in Medical Image Analysis

Xavier Pennec, Stefan Sommer, Tom Fletcher, France) Pennec, Xavier (National Institute for Research in Computer Science and Control, INRIA, Sophia-Antipolis, University of Copenhagen) Sommer, Stefan (Department of Computer Science, USA) Fletcher, Tom (Scientific Computing and Imaging Institute, University of Utah

Häftad

1 519 kr

Biomedical Image Registration

Stefan Klein, Marius Staring, Stanley Durrleman, Stefan Sommer

Häftad

689 kr

Erlebnispädagogik in der Offenen Jugendarbeit

Stefan Sommer

Häftad

1 129 kr

Information Processing in Medical Imaging

27th International Conference, IPMI 2021, Virtual Event, June 28–June 30, 2021, Proceedings

Produktinformation

Tillhör följande kategorier

Innehållsförteckning

Du kanske också är intresserad av

Multimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy

Graphs in Biomedical Image Analysis, Computational Anatomy and Imaging Genetics

Simplifying Medical Ultrasound

Biomedical Image Registration

Predictive Intelligence in Medicine

Trabant

Accelerating Digitalization

Riemannian Geometric Statistics in Medical Image Analysis

Biomedical Image Registration

Erlebnispädagogik in der Offenen Jugendarbeit

Akademibokhandeln

Akademibokhandeln

Hjälp

Hjälp

Tjänster

Tjänster

Erbjudanden

Erbjudanden

Inspiration

Inspiration