A Review of Uncertainty Estimation and its Application in Medical Imaging

16 February 2023

Meng Wang

Papers citing "A Review of Uncertainty Estimation and its Application in Medical Imaging"

41 / 41 papers shown

Title
Uncertainty Quantification for Machine Learning in Healthcare: A Survey L. J. L. Lopez Shaza Elsharief Dhiyaa Al Jorf Firas Darwish Congbo Ma Farah E. Shamout 73 0 0 04 May 2025
Explainability of AI Uncertainty: Application to Multiple Sclerosis Lesion Segmentation on MRI N. Molchanova P. M. Gordaliza A. Cagol Mario Ocampo Pineda Po-Jui Lu ... Delphine Ribes A. Depeursinge C. Granziera Henning Muller Meritxell Bach Cuadra UQCV 51 0 0 07 Apr 2025
DCAT: Dual Cross-Attention Fusion for Disease Classification in Radiological Images with Uncertainty Estimation Jutika Borah H. Singh MedIm 43 0 0 14 Mar 2025
L-FUSION: Laplacian Fetal Ultrasound Segmentation & Uncertainty Estimation J. Müller Robert Wright Thomas Day Lorenzo Venturini Samuel Budd Hadrien Reynaud J. Hajnal Reza Razavi B. Kainz MedIm 59 0 0 13 Mar 2025
Deep Learning for Ophthalmology: The State-of-the-Art and Future Trends Duy M. Nguyen Hasan Md Tusfiqur Alam T. Nguyen Devansh Srivastav H. Profitlich Ngan Le Daniel Sonntag 34 2 0 07 Jan 2025
SPA: Efficient User-Preference Alignment against Uncertainty in Medical Image Segmentation Jiayuan Zhu Junde Wu C. Ouyang Konstantinos Kamnitsas Alison Noble 70 0 0 23 Nov 2024
Uncertainty-Error correlations in Evidential Deep Learning models for biomedical segmentation Hai Siong Tan Kuancheng Wang R. Mcbeth UQCV 21 0 0 24 Oct 2024
Towards Integrating Epistemic Uncertainty Estimation into the Radiotherapy Workflow Marvin Tom Teichmann Manasi Datar Lisa Kratzke Fernando Vega Florin C. Ghesu UQCV 22 1 0 27 Sep 2024
DDEvENet: Evidence-based Ensemble Learning for Uncertainty-aware Brain Parcellation Using Diffusion MRI Chenjun Li Dian Yang Shun Yao Shuyue Wang Ye Wu ... C. Westin L. O’Donnell N. Sochen O. Pasternak Fan Zhang UQCV 40 0 0 11 Sep 2024
MedUHIP: Towards Human-In-the-Loop Medical Segmentation Jiayuan Zhu A. Billard 29 0 0 03 Aug 2024
Deep Bayesian segmentation for colon polyps: Well-calibrated predictions in medical imaging Daniela L. Ramos Héctor J. Hortúa UQCV 38 0 0 23 Jul 2024
Hardware-Aware Neural Dropout Search for Reliable Uncertainty Prediction on FPGA Zehuan Zhang Hongxiang Fan Hao Chen Lukasz Dudziak Wayne Luk BDL 32 0 0 23 Jun 2024
Enhancing Diagnostic Reliability of Foundation Model with Uncertainty Estimation in OCT Images Yuanyuan Peng Aidi Lin M. Wang Tian Lin Ke Zou ... Lixia Feng Zhen Liang Xinjian Chen Huazhu Fu Haoyu Chen 26 0 0 18 Jun 2024
Uncertainty modeling for fine-tuned implicit functions A. Susmelj Mael Macuglia Nataša Tagasovska Reto Sutter Sebastiano Caprara Jean-Philippe Thiran E. Konukoglu 62 1 0 17 Jun 2024
CONFINE: Conformal Prediction for Interpretable Neural Networks Linhui Huang S. Lala N. Jha 63 2 0 01 Jun 2024
Enhancing Global Sensitivity and Uncertainty Quantification in Medical Image Reconstruction with Monte Carlo Arbitrary-Masked Mamba Jiahao Huang Liutao Yang Fanwen Wang Yang Nan Weiwen Wu ... Kuangyu Shi Angelica I. Aviles-Rivero Carola-Bibiane Schönlieb Daoqiang Zhang Guang Yang Mamba 44 0 0 27 May 2024
Improving Deep Learning Model Calibration for Cardiac Applications using Deterministic Uncertainty Networks and Uncertainty-aware Training Tareen Dawood B. Ruijsink Reza Razavi Andrew P. King Esther Puyol-Antón UQCV 37 1 0 10 May 2024
Mask-TS Net: Mask Temperature Scaling Uncertainty Calibration for Polyp Segmentation Yudian Zhang Chenhao Xu Kaiye Xu Haijiang Zhu 27 0 0 09 May 2024
Out-of-distribution Detection in Medical Image Analysis: A survey Zesheng Hong Yubiao Yue Yubin Chen Lele Cong Huanjie Lin ... Jialong Xu Xiaoqi Yang Hechang Chen Zhenzhang Li Sihong Xie OOD 34 5 0 28 Apr 2024
EDUE: Expert Disagreement-Guided One-Pass Uncertainty Estimation for Medical Image Segmentation Kudaibergen Abutalip Numan Saeed I. Sobirov Vincent Andrearczyk A. Depeursinge Mohammad Yaqub UQCV 21 0 0 25 Mar 2024
SQA-SAM: Segmentation Quality Assessment for Medical Images Utilizing the Segment Anything Model Yizhe Zhang Shuo Wang Tao Zhou Qingquan Dou D. Z. Chen 17 1 0 15 Dec 2023
Can Physician Judgment Enhance Model Trustworthiness? A Case Study on Predicting Pathological Lymph Nodes in Rectal Cancer Kazuma Kobayashi Yasuyuki Takamizawa M. Miyake Sono Ito Lin Gu Tatsuya Nakatsuka Yu Akagi Tatsuya Harada Y. Kanemitsu Ryuji Hamamoto 30 2 0 15 Dec 2023
Uncertainty Estimation in Contrast-Enhanced MR Image Translation with Multi-Axis Fusion Ivo M. Baltruschat Parvaneh Janbakhshi Melanie Dohmen Matthias Lenga MedIm 21 2 0 20 Nov 2023
Enhancing the Reliability of Segment Anything Model for Auto-Prompting Medical Image Segmentation with Uncertainty Rectification Yichi Zhang Shiyao Hu Sijie Ren Chen Jiang Yuan-Chia Cheng Yuan Qi MedIm 17 3 0 17 Nov 2023
Informative Priors Improve the Reliability of Multimodal Clinical Data Classification L. J. L. Lopez Tim G. J. Rudner Karan Singhal 32 3 0 17 Nov 2023
Structural-Based Uncertainty in Deep Learning Across Anatomical Scales: Analysis in White Matter Lesion Segmentation N. Molchanova Vatsal Raina A. Malinin Francesco La Rosa A. Depeursinge Mark J. F. Gales C. Granziera Henning Muller Mara Graziani Meritxell Bach Cuadra 28 4 0 15 Nov 2023
ChatRadio-Valuer: A Chat Large Language Model for Generalizable Radiology Report Generation Based on Multi-institution and Multi-system Data Tianyang Zhong Wei Zhao Yutong Zhang Yi Pan Peixin Dong ... Dinggang Shen Jun-Feng Han Tianming Liu Jun Liu Tuo Zhang MedIm LM&MA 28 14 0 08 Oct 2023
Quantifying predictive uncertainty of aphasia severity in stroke patients with sparse heteroscedastic Bayesian high-dimensional regression A. Zgodic Ray Bai Jiajia Zhang Yuan Wang Chris Rorden Alexander C. McLain 14 0 0 15 Sep 2023
Probabilistic Safety Regions Via Finite Families of Scalable Classifiers Alberto Carlevaro Teodoro Alamo Fabrizio Dabbene Maurizio Mongelli 19 2 0 08 Sep 2023
URL: A Representation Learning Benchmark for Transferable Uncertainty Estimates Michael Kirchhof Bálint Mucsányi Seong Joon Oh Enkelejda Kasneci UQCV 358 12 0 07 Jul 2023
How to Fix a Broken Confidence Estimator: Evaluating Post-hoc Methods for Selective Classification with Deep Neural Networks L. F. P. Cattelan Danilo Silva UQCV 27 5 0 24 May 2023
Uncertainty-inspired Open Set Learning for Retinal Anomaly Identification Meng Wang Tian Lin Lianyu Wang Aidi Lin K. Zou ... Y. Liu C. Pang Xinjian Chen Haoyu Chen H. Fu 82 35 0 08 Apr 2023
Towards Reliable Medical Image Segmentation by utilizing Evidential Calibrated Uncertainty K. Zou Yidi Chen Ling Huang Xuedong Yuan Xiaojing Shen Meng Wang Rick Siow Mong Goh Yong-Jin Liu H. Fu UQCV 23 4 0 01 Jan 2023
Diversity-Promoting Ensemble for Medical Image Segmentation Mariana-Iuliana Georgescu Radu Tudor Ionescu A. Miron 32 19 0 22 Oct 2022
Trusted Multi-Scale Classification Framework for Whole Slide Image Ming Feng Kele Xu Na Wu Weiquan Huang Yan Bai Changjian Wang Huaimin Wang 37 5 0 12 Jul 2022
MONAI Label: A framework for AI-assisted Interactive Labeling of 3D Medical Images A. Diaz-Pinto Sachidanand Alle V. Nath Yucheng Tang Alvin Ihsani ... Daguang Xu Prerna Dogra Sebastien Ourselin Andrew Feng M. Jorge Cardoso 19 70 0 23 Mar 2022
Transformers in Medical Imaging: A Survey Fahad Shamshad Salman Khan Syed Waqas Zamir Muhammad Haris Khan Munawar Hayat F. Khan H. Fu ViT LM&MA MedIm 106 662 0 24 Jan 2022
Trustworthy AI: From Principles to Practices Bo-wen Li Peng Qi Bo Liu Shuai Di Jingen Liu Jiquan Pei Jinfeng Yi Bowen Zhou 117 355 0 04 Oct 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 268 5,660 0 05 Dec 2016
Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference Y. Gal Zoubin Ghahramani UQCV BDL 197 745 0 06 Jun 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 249 9,134 0 06 Jun 2015