Exploiting Epistemic Uncertainty of Anatomy Segmentation for Anomaly Detection in Retinal OCT

29 May 2019

Papers citing "Exploiting Epistemic Uncertainty of Anatomy Segmentation for Anomaly Detection in Retinal OCT"

20 / 20 papers shown

Title
Bayesian Deep Learning Approaches for Uncertainty-Aware Retinal OCT Image Segmentation for Multiple Sclerosis Samuel T. M. Ball UQCV BDL 192 0 0 17 May 2025
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 262 1 0 25 Nov 2024
U2-Net: A Bayesian U-Net model with epistemic uncertainty feedback for photoreceptor layer segmentation in pathological OCT scans J. Orlando Philipp Seeböck Hrvoje Bogunović S. Klimscha C. Grechenig S. Waldstein Bianca S. Gerendas U. Schmidt-Erfurth UQCV 38 56 0 23 Jan 2019
Unsupervised Identification of Disease Marker Candidates in Retinal OCT Imaging Data Philipp Seeböck S. Waldstein S. Klimscha Hrvoje Bogunović T. Schlegl Bianca S. Gerendas R. Donner U. Schmidt-Erfurth Georg Langs 54 81 0 31 Oct 2018
Joint Segmentation and Uncertainty Visualization of Retinal Layers in Optical Coherence Tomography Images using Bayesian Deep Learning S. Sedai B. Antony Dwarikanath Mahapatra R. Garnavi UQCV 59 62 0 12 Sep 2018
Exploring Uncertainty Measures in Deep Networks for Multiple Sclerosis Lesion Detection and Segmentation T. Nair Doina Precup Douglas L. Arnold Tal Arbel UQCV 58 447 0 03 Aug 2018
Towards a glaucoma risk index based on simulated hemodynamics from fundus images J. Orlando J. Barbosa-Breda K. V. Keer Matthew B. Blaschko P. Blanco C. Bulant 88 80 0 25 May 2018
Fully Automated Segmentation of Hyperreflective Foci in Optical Coherence Tomography Images T. Schlegl Hrvoje Bogunović S. Klimscha Philipp Seeböck A. Sadeghipour Bianca S. Gerendas S. Waldstein Georg Langs U. Schmidt-Erfurth 52 29 0 08 May 2018
CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning Pranav Rajpurkar Jeremy Irvin Kaylie Zhu Brandon Yang Hershel Mehta ... Aarti Bagul C. Langlotz K. Shpanskaya M. Lungren A. Ng LM&MA 83 2,709 0 14 Nov 2017
Predicting Cardiovascular Risk Factors from Retinal Fundus Photographs using Deep Learning Ryan Poplin A. Varadarajan Katy Blumer Yun-Hui Liu M. McConnell G. Corrado L. Peng D. Webster MedIm 59 1,339 0 31 Aug 2017
Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery T. Schlegl Philipp Seeböck S. Waldstein U. Schmidt-Erfurth Georg Langs MedIm GAN 108 2,231 0 17 Mar 2017
What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision? Alex Kendall Y. Gal BDL OOD UD UQCV PER 359 4,718 0 15 Mar 2017
A Survey on Deep Learning in Medical Image Analysis G. Litjens Thijs Kooi B. Bejnordi A. Setio F. Ciompi Mohsen Ghafoorian Jeroen van der Laak Bram van Ginneken C. I. Sánchez OOD 678 10,786 0 19 Feb 2017
A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks Dan Hendrycks Kevin Gimpel UQCV 166 3,468 0 07 Oct 2016
Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder Architectures for Scene Understanding Alex Kendall Vijay Badrinarayanan R. Cipolla UQCV BDL 89 1,065 0 09 Nov 2015
Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference Y. Gal Zoubin Ghahramani UQCV BDL 261 751 0 06 Jun 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 1.8K 77,341 0 18 May 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 463 43,328 0 11 Feb 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification Kaiming He Xinming Zhang Shaoqing Ren Jian Sun VLM 326 18,647 0 06 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.9K 150,260 0 22 Dec 2014