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MRI brain tumor segmentation and uncertainty estimation using 3D-UNet
  architectures

MRI brain tumor segmentation and uncertainty estimation using 3D-UNet architectures

30 December 2020
Laura Mora Ballestar
Verónica Vilaplana
ArXiv (abs)PDFHTML

Papers citing "MRI brain tumor segmentation and uncertainty estimation using 3D-UNet architectures"

5 / 5 papers shown
Detection of Under-represented Samples Using Dynamic Batch Training for
  Brain Tumor Segmentation from MR Images
Detection of Under-represented Samples Using Dynamic Batch Training for Brain Tumor Segmentation from MR Images
Subin Sahayam
John Michael Sujay Zakkam
Yoga Sri Varshan V
Umarani Jayaraman
273
0
0
21 Aug 2024
Hybrid Multihead Attentive Unet-3D for Brain Tumor Segmentation
Hybrid Multihead Attentive Unet-3D for Brain Tumor Segmentation
Muhammad Ansab Butt
Absaar Ul Jabbar
210
4
0
22 May 2024
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
295
184
0
05 Oct 2022
SoftDropConnect (SDC) -- Effective and Efficient Quantification of the
  Network Uncertainty in Deep MR Image Analysis
SoftDropConnect (SDC) -- Effective and Efficient Quantification of the Network Uncertainty in Deep MR Image Analysis
Qing Lyu
C. Whitlow
Ge Wang
UQCVBDL
261
2
0
20 Jan 2022
QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in
  Brain Tumor Segmentation - Analysis of Ranking Scores and Benchmarking
  Results
QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Scores and Benchmarking Results
Raghav Mehta
Angelos Filos
Ujjwal Baid
C. Sako
Richard McKinley
...
Christos Davatzikos
Bjoern Menze
Spyridon Bakas
Y. Gal
Tal Arbel
UQCV
300
69
0
19 Dec 2021
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