/MedUncertainty

Uncertainty in Medical Image Analysis

MedUncertainty

Uncertainty in Medical Image Analysis

Benchmarks

Uncertainty Estimation Methods

DATE First Author Title Publication
20200624 Florian Wenzel Hyperparameter Ensembles for Robustness and Uncertainty Quantification (arxiv) TBA
20200610 Miguel Monteiro Stochastic Segmentation Networks: Modelling Spatially Correlated Aleatoric Uncertainty (arxiv) (pytorch) TBA
20191001 Charles Corbière Addressing Failure Prediction by Learning Model Confidence (arxiv) (pytorch) NeurlPS 2019
20190821 Janis Postels Sampling-free Epistemic Uncertainty Estimation Using Approximated Variance Propagation (arxiv) (keras) ICCV 2019
20190725 Zach Eaton-Rosen As easy as 1, 2... 4? Uncertainty in counting tasks for medical imaging (arxiv) MICCAI 2019
201906 Fredrik K. Gustafsson Evaluating Scalable Bayesian Deep Learning Methods for Robust Computer Vision (arxiv) (project) TBD
20190606 Yaniv Ovadia Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift (arxiv) NeurlPS 2019
201905 Simon Kohl A Hierarchical Probabilistic U-Net for Modeling Multi-Scale Ambiguities (arxiv) TBD
201806 Zach Eaton-Rosen Towards safe deep learning: accurately quantifying biomarker uncertainty in neural network predictions (arxiv) MICCAI 2018
201806 Simon Kohl A Probabilistic U-Net for Segmentation of Ambiguous Images (arxiv) (spotlight) (tf) (re-pytorch) (YouTube) NeurIPS 2018
201703 Alex Kendall What uncertainties do we need in Bayesian deep learning for computer vision? (arxiv) NeurIPS 2017
201612 Balaji Lakshminarayanan Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles (arxiv) NeurIPS 2017
20161201 Christian Rupprecht (M-Heads) Learning in an Uncertain World: Representing Ambiguity Through Multiple Hypotheses (arxiv) ICCV 2017
201511 Alex Kendall Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder Architectures for Scene Understanding (arxiv)
201506 Yarin Gal Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning (arxiv) PMLR

Uncertainty in Medical Image Analysis

DATE First Author Title Publication
20200627 Yingda Xia Uncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptation MedIA
201909 Yuta Hiasa Automated Muscle Segmentation from Clinical CT using Bayesian U-Net for Personalized Musculoskeletal Modeling TMI
20190728 Yongchan Kwon Uncertainty quantification using Bayesian neural networks in classification: Application to biomedical image segmentation Computational Statistics & Data Analysis
20190715 Davood Karimi Accurate and robust deep learning-based segmentation of the prostate clinical target volume in ultrasound images Medical Image Analysis
20190707 Alain Jungo Assessing Reliability and Challenges of Uncertainty Estimations for Medical Image Segmentation (arxiv) (pytorch) MICCAI 2019
20190703 Shi Hu Supervised Uncertainty Quantification for Segmentation with Multiple Annotations (arxiv) MICCAI 2019
20190618 Florin C. Ghesu Quantifying and Leveraging Classification Uncertainty for Chest Radiograph Assessment (arxiv) MICCAI 2019
20190607 Christian F. Baumgartner PHiSeg: Capturing Uncertainty in Medical Image Segmentation (arxiv) (code) MICCAI 2019
20190605 Roger D. Soberanis-Mukul An Uncertainty-Driven GCN Refinement Strategy for Organ Segmentation (arxiv) TBD
20190529 Philipp Seeböck Exploiting Epistemic Uncertainty of Anatomy Segmentation for Anomaly Detection in Retinal OCT (arxiv) TMI
20190529 Maithra Raghu Direct Uncertainty Prediction for Medical Second Opinions (arxiv) (blog) ICML 2019
20190522 Rohit Jena A Bayesian Neural Net to Segment Images with Uncertainty Estimates and Good Calibration IPMI 2019
201903 Huitong Pan Prostate Segmentation from 3D MRI Using a Two-Stage Model and Variable-Input Based Uncertainty Measure (arxiv) ISBI 2019
201902 Guotai wang Aleatoric uncertainty estimation with test-time augmentation for medical image segmentation with convolutional neural networks Neurocomputing
201901 José Ignacio Orlando U2-Net: A Bayesian U-Net model with epistemic uncertainty feedback for photoreceptor layer segmentation in pathological OCT scans (arxiv) (Talk Slides) ISBI 2019
20180826 Leo Joskowicz Automatic segmentation variability estimation with segmentation priors (Talk Slides) Medical Image Analysis
20180803 Tanya Nair Exploring Uncertainty Measures in Deep Networks for Multiple Sclerosis Lesion Detection and Segmentation (arxiv) (tf) (Talk slides) (YouTube) MICCAI 2018 & Medical Image Analysis
201807 Terrance DeVries Leveraging Uncertainty Estimates for Predicting Segmentation Quality (arxiv) TBD
201806 Felix Bragman Uncertainty in Multitask Learning: Joint Representations for Probabilistic MR-only Radiotherapy Planning (arxiv) (project) MICCAI 2018
20180419 Abhijit Guha Roy Inherent Brain Segmentation Quality Control from Fully ConvNet Monte Carlo Sampling (arxiv) (online segmentation tool) MICCAI 2018 Neurolimaging extention
20180411 Murat Seckin Ayhan Test-time Data Augmentation for Estimation of Heteroscedastic Aleatoric Uncertainty in Deep Neural Networks MIDL 2018
20171219 Christian Leibig Leveraging uncertainty information from deep neural networks for disease detection Scientific Reports
20171201 Onur Ozdemir Propagating Uncertainty in Multi-Stage Bayesian Convolutional Neural Networks with Application to Pulmonary Nodule Detection (arxiv) NIPS 2017 Bayesian Deep Learning workshop
201703 Ryutaro Tanno Bayesian Image Quality Transfer with CNNs: Exploring Uncertainty in dMRI Super-Resolution (arxiv) MICCAI 2017