Posterior temperature optimized Bayesian models for inverse problems in medical imaging

2 February 2022

Papers citing "Posterior temperature optimized Bayesian models for inverse problems in medical imaging"

7 / 7 papers shown

Title
FUNAvg: Federated Uncertainty Weighted Averaging for Datasets with Diverse Labels Malte Tolle Fernando Navarro Sebastian Eble Ivo Wolf Bjoern H. Menze Sandy Engelhardt FedML 45 1 0 10 Jul 2024
Unsupervised Domain Adaptation for Low-dose CT Reconstruction via Bayesian Uncertainty Alignment Kecheng Chen Jie Liu Renjie Wan Victor Ho-Fun Lee Varut Vardhanabhuti Hong Yan Haoliang Li OOD 28 5 0 26 Feb 2023
UncertaINR: Uncertainty Quantification of End-to-End Implicit Neural Representations for Computed Tomography Francisca Vasconcelos Bobby He Nalini Singh Yee Whye Teh BDL OOD UQCV 37 12 0 22 Feb 2022
Posterior Temperature Optimization in Variational Inference for Inverse Problems M. Laves Malte Tolle Alexander Schlaefer Sandy Engelhardt 17 3 0 11 Jun 2021
Recalibration of Aleatoric and Epistemic Regression Uncertainty in Medical Imaging M. Laves Sontje Ihler J. F. Fast L. Kahrs T. Ortmaier OOD UQCV BDL 43 29 0 26 Apr 2021
Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference Y. Gal Zoubin Ghahramani UQCV BDL 213 745 0 06 Jun 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 287 9,167 0 06 Jun 2015