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

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
ArXivPDFHTML

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

19 / 19 papers shown
Title
Bayesian Deep Learning Approaches for Uncertainty-Aware Retinal OCT Image Segmentation for Multiple Sclerosis
Bayesian Deep Learning Approaches for Uncertainty-Aware Retinal OCT Image Segmentation for Multiple Sclerosis
Samuel T. M. Ball
UQCV
BDL
39
0
0
17 May 2025
A Review of Bayesian Uncertainty Quantification in Deep Probabilistic Image Segmentation
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
96
1
0
25 Nov 2024
A review of uncertainty quantification in medical image analysis:
  probabilistic and non-probabilistic methods
A review of uncertainty quantification in medical image analysis: probabilistic and non-probabilistic methods
Ling Huang
S. Ruan
Yucheng Xing
Mengling Feng
46
20
0
09 Oct 2023
A Review of Uncertainty Estimation and its Application in Medical
  Imaging
A Review of Uncertainty Estimation and its Application in Medical Imaging
K. Zou
Zhihao Chen
Xuedong Yuan
Xiaojing Shen
Meng Wang
Huazhu Fu
UQCV
54
87
0
16 Feb 2023
Cyclic Generative Adversarial Networks With Congruent Image-Report
  Generation For Explainable Medical Image Analysis
Cyclic Generative Adversarial Networks With Congruent Image-Report Generation For Explainable Medical Image Analysis
Dwarikanath Mahapatra
GAN
MedIm
23
0
0
16 Nov 2022
Trustworthy clinical AI solutions: a unified review of uncertainty
  quantification in deep learning models for medical image analysis
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
34
81
0
05 Oct 2022
Improved Super Resolution of MR Images Using CNNs and Vision
  Transformers
Improved Super Resolution of MR Images Using CNNs and Vision Transformers
Dwarikanath Mahapatra
SupR
ViT
MedIm
32
5
0
24 Jul 2022
Influence of uncertainty estimation techniques on false-positive
  reduction in liver lesion detection
Influence of uncertainty estimation techniques on false-positive reduction in liver lesion detection
Ishaan Bhat
J. Pluim
M. Viergever
Hugo J. Kuijf
MedIm
26
4
0
22 Jun 2022
Interpretable Saliency Maps And Self-Supervised Learning For Generalized
  Zero Shot Medical Image Classification
Interpretable Saliency Maps And Self-Supervised Learning For Generalized Zero Shot Medical Image Classification
Dwarikanath Mahapatra
MedIm
25
2
0
04 Apr 2022
CT Image Synthesis Using Weakly Supervised Segmentation and Geometric
  Inter-Label Relations For COVID Image Analysis
CT Image Synthesis Using Weakly Supervised Segmentation and Geometric Inter-Label Relations For COVID Image Analysis
Dwarikanath Mahapatra
Ankur Singh
32
8
0
15 Jun 2021
An Active Learning Method for Diabetic Retinopathy Classification with
  Uncertainty Quantification
An Active Learning Method for Diabetic Retinopathy Classification with Uncertainty Quantification
Muhammad Ahtazaz Ahsan
A. Qayyum
Junaid Qadir
Adeel Razi
BDL
23
19
0
24 Dec 2020
Structure Preserving Stain Normalization of Histopathology Images Using
  Self-Supervised Semantic Guidance
Structure Preserving Stain Normalization of Histopathology Images Using Self-Supervised Semantic Guidance
Dwarikanath Mahapatra
Behzad Bozorgtabar
Jean-Philippe Thiran
Ling Shao
MedIm
21
46
0
05 Aug 2020
Confidence Calibration and Predictive Uncertainty Estimation for Deep
  Medical Image Segmentation
Confidence Calibration and Predictive Uncertainty Estimation for Deep Medical Image Segmentation
Alireza Mehrtash
W. Wells
C. Tempany
Purang Abolmaesumi
Tina Kapur
OOD
FedML
UQCV
24
265
0
29 Nov 2019
Exploiting Epistemic Uncertainty of Anatomy Segmentation for Anomaly
  Detection in Retinal OCT
Exploiting Epistemic Uncertainty of Anatomy Segmentation for Anomaly Detection in Retinal OCT
Philipp Seeböck
J. Orlando
T. Schlegl
S. Waldstein
Hrvoje Bogunović
S. Klimscha
Georg Langs
U. Schmidt-Erfurth
UQCV
24
134
0
29 May 2019
U2-Net: A Bayesian U-Net model with epistemic uncertainty feedback for
  photoreceptor layer segmentation in pathological OCT scans
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
22
56
0
23 Jan 2019
Learning to Segment Corneal Tissue Interfaces in OCT Images
Learning to Segment Corneal Tissue Interfaces in OCT Images
T. Mathai
K. Lathrop
J. Galeotti
29
20
0
15 Oct 2018
Efficient Active Learning for Image Classification and Segmentation
  using a Sample Selection and Conditional Generative Adversarial Network
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
25
176
0
14 Jun 2018
GAN Based Medical Image Registration
GAN Based Medical Image Registration
Dwarikanath Mahapatra
MedIm
27
28
0
07 May 2018
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
289
9,167
0
06 Jun 2015
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