Deep evidential fusion with uncertainty quantification and contextual discounting for multimodal medical image segmentation

12 September 2023

Papers citing "Deep evidential fusion with uncertainty quantification and contextual discounting for multimodal medical image segmentation"

28 / 28 papers shown

Title
CrossFuse: A Novel Cross Attention Mechanism based Infrared and Visible Image Fusion Approach Hui Li Xiao-Jun Wu 50 115 0 15 Jun 2024
A review of uncertainty quantification in medical image analysis: probabilistic and non-probabilistic methods Ling Huang S. Ruan Yucheng Xing Mengling Feng 86 26 0 09 Oct 2023
Evidence fusion with contextual discounting for multi-modality medical image segmentation Ling Huang Thierry Denoeux P. Vera S. Ruan MedIm 108 29 0 23 Jun 2022
TBraTS: Trusted Brain Tumor Segmentation Ke Zou Xuedong Yuan Xiaojing Shen Meng Wang Huazhu Fu UQCV OOD 60 57 0 19 Jun 2022
Multimodal Learning with Transformers: A Survey Peng Xu Xiatian Zhu David Clifton ViT 160 566 0 13 Jun 2022
Application of belief functions to medical image segmentation: A review Ling Huang S. Ruan Thierry Denoeux EDL MedIm 59 31 0 03 May 2022
Lymphoma segmentation from 3D PET-CT images using a deep evidential network Ling Huang S. Ruan P. Decazes Thierry Denoeux 3DPC MedIm 78 40 0 31 Jan 2022
Extending nn-UNet for brain tumor segmentation Huan Minh Luu Sung-Hong Park 46 104 0 09 Dec 2021
A Robust Volumetric Transformer for Accurate 3D Tumor Segmentation Himashi Peiris Munawar Hayat Zhaolin Chen Gary Egan Mehrtash Harandi ViT MedIm 63 132 0 26 Nov 2021
A Tri-attention Fusion Guided Multi-modal Segmentation Network Tongxue Zhou S. Ruan P. Vera S. Canu MedIm 52 45 0 02 Nov 2021
nnFormer: Interleaved Transformer for Volumetric Segmentation Hong-Yu Zhou J. Guo Yinghao Zhang Lequan Yu Liansheng Wang Yizhou Yu ViT MedIm 77 328 0 07 Sep 2021
The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification Ujjwal Baid S. Ghodasara S. Mohan Michel Bilello Evan Calabrese ... M. Weber A. Mahajan Bjoern Menze Adam Flanders Spyridon Bakas 143 635 0 05 Jul 2021
An evidential classifier based on Dempster-Shafer theory and deep learning Zheng Tong Philippe Xu Thierry Denoeux EDL 69 100 0 25 Mar 2021
Evidential fully convolutional network for semantic segmentation Zheng Tong Philippe Xu T. Denœux 35 44 0 25 Mar 2021
Belief function-based semi-supervised learning for brain tumor segmentation Ling Huang S. Ruan Thierry Denoeux 51 24 0 29 Jan 2021
A Survey on Visual Transformer Kai Han Yunhe Wang Hanting Chen Xinghao Chen Jianyuan Guo ... Chunjing Xu Yixing Xu Zhaohui Yang Yiman Zhang Dacheng Tao ViT 200 2,230 0 23 Dec 2020
A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges Moloud Abdar Farhad Pourpanah Sadiq Hussain Dana Rezazadegan Li Liu ... Xiaochun Cao Abbas Khosravi U. Acharya V. Makarenkov S. Nahavandi BDL UQCV 339 1,922 0 12 Nov 2020
NN-EVCLUS: Neural Network-based Evidential Clustering Thierry Denoeux 18 34 0 27 Sep 2020
A review: Deep learning for medical image segmentation using multi-modality fusion Tongxue Zhou S. Ruan S. Canu 67 512 0 22 Apr 2020
3D MRI brain tumor segmentation using autoencoder regularization Andriy Myronenko 92 1,045 0 27 Oct 2018
nnU-Net: Self-adapting Framework for U-Net-Based Medical Image Segmentation Fabian Isensee Jens Petersen André Klein David Zimmerer Paul F. Jaeger ... Jakob Wasserthal Gregor Koehler T. Norajitra Sebastian J. Wirkert Klaus H. Maier-Hein SSeg 91 785 0 27 Sep 2018
Decision-Making with Belief Functions: a Review Thierry Denoeux 38 152 0 16 Aug 2018
Evidential Deep Learning to Quantify Classification Uncertainty Murat Sensoy Lance M. Kaplan M. Kandemir OOD UQCV EDL BDL 177 996 0 05 Jun 2018
On Calibration of Modern Neural Networks Chuan Guo Geoff Pleiss Yu Sun Kilian Q. Weinberger UQCV 299 5,833 0 14 Jun 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 840 5,821 0 05 Dec 2016
Understanding Probabilistic Sparse Gaussian Process Approximations Matthias Bauer Mark van der Wilk C. Rasmussen 46 259 0 15 Jun 2016
V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation Fausto Milletari Nassir Navab Seyed-Ahmad Ahmadi 221 8,688 0 15 Jun 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 821 9,318 0 06 Jun 2015