A Probabilistic Framework for Modeling the Variability Across Federated Datasets

A Probabilistic Framework for Modeling the Variability Across Federated Datasets

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:IPMI (27. : 2021 : Online) Information processing in medical imaging
1. Verfasser: Balelli, Irene (VerfasserIn)
Weitere Verfasser: Silva, Santiago (VerfasserIn), Lorenzi, Marco (VerfasserIn)
Format: UnknownFormat
Sprache:eng
Veröffentlicht: 2021
Schlagworte:
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Titel Jahr Verfasser
Hierarchical Morphology-Guided Tooth Instance Segmentation from CBCT Images 2021 Cui, Zhiming
TopoTxR: A Topological Biomarker for Predicting Treatment Response in Breast Cancer 2021 Wang, Fan
Knowledge Transfer for Few-Shot Segmentation of Novel White Matter Tracts 2021 Lu, Qi
EnMcGAN: Adversarial Ensemble Learning for 3D Complete Renal Structures Segmentation 2021 He, Yuting
Feature Library: A Benchmark for Cervical Lesion Segmentation 2021 Li, Yuexiang
Learning Transition Times in Event Sequences: The Temporal Event-Based Model of Disease Progression 2021 Wijeratne, Peter A.
Future Frame Prediction for Robot-Assisted Surgery 2021 Gao, Xiaojie
Velocity-To-Pressure (V2P) - Net: Inferring Relative Pressures from Time-Varying 3D Fluid Flow Velocities 2021 Shit, Suprosanna
Continual Active Learning for Efficient Adaptation of Machine Learning Models to Changing Image Acquisition 2021 Perkonigg, Matthias
Mixture Modeling for Identifying Subtypes in Disease Course Mapping 2021 Poulet, Pierre-Emmanuel
Generalized Organ Segmentation by Imitating One-Shot Reasoning Using Anatomical Correlation 2021 Zhou, Hong-Yu
Adversarial Regression Learning for Bone Age Estimation 2021 Zhang, Youshan
Spatially Varying Label Smoothing: Capturing Uncertainty from Expert Annotations 2021 Islam, Mobarakol
Geodesic B-score for Improved Assessment of Knee Osteoarthritis 2021 Ambellan, Felix
Enabling Data Diversity: Efficient Automatic Augmentation via Regularized Adversarial Training 2021 Gao, Yunhe
Diffeomorphic Registration with Density Changes for the Analysis of Imbalanced Shapes 2021 Hsieh, Hsi-Wei
Equivariant Spherical Deconvolution: Learning Sparse Orientation Distribution Functions from Spherical Data 2021 Elaldi, Axel
Cytoarchitecture Measurements in Brain Gray Matter Using Likelihood-Free Inference 2021 Jallais, Maëliss
Geodesic Tubes for Uncertainty Quantification in Diffusion MRI 2021 Sengers, Rick
Teach Me to Segment with Mixed Supervision: Confident Students Become Masters 2021 Dolz, Jose
Alle Artikel auflisten