Joint Segmentation and Uncertainty Visualization of Retinal Layers in Optical Coherence Tomography Images using Bayesian Deep Learning

12 September 2018

S. Sedai

B. Antony

Dwarikanath Mahapatra

R. Garnavi

UQCV

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Papers citing "Joint Segmentation and Uncertainty Visualization of Retinal Layers in Optical Coherence Tomography Images using Bayesian Deep Learning"

34 / 34 papers shown

Title
SD-RetinaNet: Topologically Constrained Semi-Supervised Retinal Lesion and Layer Segmentation in OCTIEEE Transactions on Medical Imaging (IEEE TMI), 2025 Botond Fazekas Guilherme Aresta Philipp Seeböck Julia Mai U. Schmidt-Erfurth Hrvoje Bogunović MedIm 56 0 0 25 Sep 2025
Bayesian Deep Learning Approaches for Uncertainty-Aware Retinal OCT Image Segmentation for Multiple Sclerosis Samuel T. M. Ball UQCV BDL 271 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 615 1 0 25 Nov 2024
A review of uncertainty quantification in medical image analysis: probabilistic and non-probabilistic methods Ling Huang S. Ruan Yucheng Xing Mengling Feng 187 42 0 09 Oct 2023
Assessing the performance of deep learning-based models for prostate cancer segmentation using uncertainty scores Pablo Cesar Quihui-Rubio Daniel Flores-Araiza Gilberto Ochoa-Ruiz M. González-Mendoza Christian Mata UQCV 37 1 0 09 Aug 2023
A Review of Uncertainty Estimation and its Application in Medical Imaging K. Zou Zhihao Chen Xuedong Yuan Xiaojing Shen Meng Wang Huazhu Fu UQCV 182 121 0 16 Feb 2023
Cyclic Generative Adversarial Networks With Congruent Image-Report Generation For Explainable Medical Image Analysis Dwarikanath Mahapatra GAN MedIm 124 0 0 16 Nov 2022
Segmentation of Bruch's Membrane in retinal OCT with AMD using anatomical priors and uncertainty quantificationIEEE journal of biomedical and health informatics (IEEE JBHI), 2022 Botond Fazekas Dmitrii Lachinov Guilherme Aresta Julia Mai U. Schmidt-Erfurth Hrvoje Bogunović 94 20 0 26 Oct 2022
Trustworthy clinical AI solutions: a unified review of uncertainty quantification in deep learning models for medical image analysis Benjamin Lambert Florence Forbes A. Tucholka Senan Doyle Harmonie Dehaene M. Dojat 194 123 0 05 Oct 2022
Improved Super Resolution of MR Images Using CNNs and Vision Transformers Dwarikanath Mahapatra SupR ViT MedIm 124 5 0 24 Jul 2022
SD-LayerNet: Semi-supervised retinal layer segmentation in OCT using disentangled representation with anatomical priorsInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022 Botond Fazekas Guilherme Aresta Dmitrii Lachinov Sophie Riedl Julia Mai U. Schmidt-Erfurth Hrvoje Bogunović 85 16 0 01 Jul 2022
Unsupervised Domain Adaptation Using Feature Disentanglement And GCNs For Medical Image Classification Dwarikanath Mahapatra OOD 113 15 0 27 Jun 2022
Influence of uncertainty estimation techniques on false-positive reduction in liver lesion detectionMachine Learning for Biomedical Imaging (MLBI), 2022 Ishaan Bhat J. Pluim M. Viergever Hugo J. Kuijf MedIm 286 6 0 22 Jun 2022
Interpretable Saliency Maps And Self-Supervised Learning For Generalized Zero Shot Medical Image Classification Dwarikanath Mahapatra MedIm 129 2 0 04 Apr 2022
Multimodal Generalized Zero Shot Learning for Gleason Grading using Self-Supervised Learning Dwarikanath Mahapatra MedIm 96 5 0 15 Nov 2021
Learning of Inter-Label Geometric Relationships Using Self-Supervised Learning: Application To Gleason Grade Segmentation Dwarikanath Mahapatra SSL 104 6 0 01 Oct 2021
CT Image Synthesis Using Weakly Supervised Segmentation and Geometric Inter-Label Relations For COVID Image Analysis Dwarikanath Mahapatra Ankur Singh 148 10 0 15 Jun 2021
Sound-to-Imagination: An Exploratory Study on Unsupervised Crossmodal Translation Using Diverse Audiovisual Data Leonardo A. Fanzeres C. Nadeu DiffM 90 4 0 02 Jun 2021
Interpretability-Driven Sample Selection Using Self Supervised Learning For Disease Classification And SegmentationIEEE Transactions on Medical Imaging (IEEE TMI), 2021 Dwarikanath Mahapatra 136 58 0 13 Apr 2021
Uncertainty guided semi-supervised segmentation of retinal layers in OCT imagesInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2019 S. Sedai B. Antony Ravneet Rai K. Jones H. Ishikawa J. Schuman Gadi Wollstein R. Garnavi UQCV 111 94 0 02 Mar 2021
An Active Learning Method for Diabetic Retinopathy Classification with Uncertainty QuantificationMedical and Biological Engineering and Computing (MBEC), 2020 Muhammad Ahtazaz Ahsan A. Qayyum Junaid Qadir Adeel Razi BDL 168 21 0 24 Dec 2020
D-LEMA: Deep Learning Ensembles from Multiple Annotations -- Application to Skin Lesion Segmentation Z. Mirikharaji Kumar Abhishek S. Izadi Ghassan Hamarneh 166 34 0 14 Dec 2020
Structure Preserving Stain Normalization of Histopathology Images Using Self-Supervised Semantic Guidance Dwarikanath Mahapatra Behzad Bozorgtabar Jean-Philippe Thiran Ling Shao MedIm 100 48 0 05 Aug 2020
Registration of Histopathogy Images Using Structural Information From Fine Grained Feature Maps Dwarikanath Mahapatra 81 13 0 04 Jul 2020
Pathological Retinal Region Segmentation From OCT Images Using Geometric Relation Based AugmentationComputer Vision and Pattern Recognition (CVPR), 2020 Dwarikanath Mahapatra Behzad Bozorgtabar Jean-Philippe Thiran Ling Shao 141 33 0 31 Mar 2020
Confidence Calibration and Predictive Uncertainty Estimation for Deep Medical Image SegmentationIEEE Transactions on Medical Imaging (TMI), 2019 Alireza Mehrtash W. Wells C. Tempany Purang Abolmaesumi Tina Kapur OOD FedML UQCV 226 314 0 29 Nov 2019
Generative Adversarial Networks And Domain Adaptation For Training Data Independent Image Registration Dwarikanath Mahapatra GAN OOD MedIm 102 7 0 18 Oct 2019
Uncertainty-Guided Domain Alignment for Layer Segmentation in OCT Images Jiexiang Wang Cheng Bian Meng Li Xin Yang Kai Ma Wenao Ma Jin Yuan Xinghao Ding Yefeng Zheng 73 3 0 22 Aug 2019
Exploiting Epistemic Uncertainty of Anatomy Segmentation for Anomaly Detection in Retinal OCTIEEE Transactions on Medical Imaging (TMI), 2019 Philipp Seeböck J. Orlando T. Schlegl S. Waldstein Hrvoje Bogunović S. Klimscha Georg Langs U. Schmidt-Erfurth UQCV 181 143 0 29 May 2019
Progressive Generative Adversarial Networks for Medical Image Super resolution Dwarikanath Mahapatra Behzad Bozorgtabar GAN MedIm 97 29 0 06 Feb 2019
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 105 60 0 23 Jan 2019
Learning to Segment Corneal Tissue Interfaces in OCT Images T. Mathai K. Lathrop J. Galeotti 100 21 0 15 Oct 2018
Efficient Active Learning for Image Classification and Segmentation using a Sample Selection and Conditional Generative Adversarial Network Dwarikanath Mahapatra Behzad Bozorgtabar Jean-Philippe Thiran M. Reyes GAN MedIm 205 187 0 14 Jun 2018
GAN Based Medical Image Registration Dwarikanath Mahapatra MedIm 156 28 0 07 May 2018