Inherent Brain Segmentation Quality Control from Fully ConvNet Monte
Carlo Sampling

Inherent Brain Segmentation Quality Control from Fully ConvNet Monte Carlo Sampling

19 April 2018

Abhijit Guha Roy

Sailesh Conjeti

Nassir Navab

Christian Wachinger

Papers citing "Inherent Brain Segmentation Quality Control from Fully ConvNet Monte Carlo Sampling"

14 / 14 papers shown

Title
A Review of Bayesian Uncertainty Quantification in Deep Probabilistic Image Segmentation M. Valiuddin R. V. Sloun C.G.A. Viviers Peter H. N. de With Fons van der Sommen UQCV 91 1 0 25 Nov 2024
TMS-Net: A Segmentation Network Coupled With A Run-time Quality Control Method For Robust Cardiac Image Segmentation F. Uslu Anil A. Bharath 39 14 0 21 Dec 2022
Influence of uncertainty estimation techniques on false-positive reduction in liver lesion detection Ishaan Bhat J. Pluim M. Viergever Hugo J. Kuijf MedIm 21 4 0 22 Jun 2022
False Positive Detection and Prediction Quality Estimation for LiDAR Point Cloud Segmentation Pascal Colling Matthias Rottmann L. Roese-Koerner Hanno Gottschalk 3DPC 30 3 0 29 Oct 2021
Modeling Annotation Uncertainty with Gaussian Heatmaps in Landmark Localization Franz Thaler Christian Payer M. Urschler Darko Štern 39 10 0 20 Sep 2021
Challenges for machine learning in clinical translation of big data imaging studies Nicola K. Dinsdale Emma Bluemke V. Sundaresan M. Jenkinson Stephen Smith Ana I. L. Namburete AI4CE 32 41 0 07 Jul 2021
Detecting Concept Drift With Neural Network Model Uncertainty Lucas Baier Tim Schlör Jakob Schöffer Niklas Kühl 27 27 0 05 Jul 2021
Improving Video Instance Segmentation by Light-weight Temporal Uncertainty Estimates Kira Maag Matthias Rottmann Serin Varghese Fabian Hüger Peter Schlicht Hanno Gottschalk UQCV 22 12 0 14 Dec 2020
MetaDetect: Uncertainty Quantification and Prediction Quality Estimates for Object Detection Marius Schubert Karsten Kahl Matthias Rottmann UQCV 26 24 0 04 Oct 2020
Give me (un)certainty -- An exploration of parameters that affect segmentation uncertainty K. Hoebel Ken Chang J. Patel Praveer Singh Jayashree Kalpathy-Cramer UQCV 24 7 0 14 Nov 2019
Going Deep in Medical Image Analysis: Concepts, Methods, Challenges and Future Directions F. Altaf Syed Mohammed Shamsul Islam Naveed Akhtar N. Janjua OOD 26 200 0 15 Feb 2019
Aleatoric uncertainty estimation with test-time augmentation for medical image segmentation with convolutional neural networks Guotai Wang Wenqi Li Michael Aertsen Jan Deprest Sebastien Ourselin Tom Kamiel Magda Vercauteren UQCV MedIm OOD 49 582 0 19 Jul 2018
QuickNAT: A Fully Convolutional Network for Quick and Accurate Segmentation of Neuroanatomy Abhijit Guha Roy Sailesh Conjeti Nassir Navab Christian Wachinger 38 222 0 12 Jan 2018
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,138 0 06 Jun 2015