Papers citing 'Uncertainty-Informed Deep Learning Models Enable High-Confidence Predictions for Digital Histopathology'

Title
Diagnose Like A REAL Pathologist: An Uncertainty-Focused Approach for Trustworthy Multi-Resolution Multiple Instance Learning Sungrae Hong Sol Lee Jisu Shin Mun Yi 69 0 0 09 Nov 2025
DPsurv: Dual-Prototype Evidential Fusion for Uncertainty-Aware and Interpretable Whole-Slide Image Survival Prediction Yucheng Xing Ling Huang Jingying Ma Ruping Hong Jiangdong Qiu Pei Liu Kai He Huazhu Fu Mengling Feng 81 0 0 28 Sep 2025
Uncertainty Awareness Enables Efficient Labeling for Cancer Subtyping in Digital PathologyIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2025 Nirhoshan Sivaroopan Chamuditha Jayanga Galappaththige Chalani Ekanayake Hasindri Watawana Ranga Rodrigo Chamira U. S. Edussooriya D. Wadduwage 126 0 0 13 Jun 2025
Asymmetric Duos: Sidekicks Improve Uncertainty Tim G. Zhou Evan Shelhamer Geoff Pleiss UQCV 166 0 0 24 May 2025
LATTE-MV: Learning to Anticipate Table Tennis Hits from Monocular VideosComputer Vision and Pattern Recognition (CVPR), 2025 Daniel Etaat Dvij Kalaria Nima Rahmanian S. Shankar Sastry 154 2 0 26 Mar 2025
Reliable Radiologic Skeletal Muscle Area Assessment -- A Biomarker for Cancer Cachexia DiagnosismedRxiv (medRxiv), 2025 Sabeen Ahmed Nathan Parker Margaret Park Daniel Jeong Lauren Peres ... Jennifer B. Permuth Erin Siegel M. Schabath Yasin Yilmaz Ghulam Rasool 124 0 0 19 Mar 2025
Implementing Trust in Non-Small Cell Lung Cancer Diagnosis with a Conformalized Uncertainty-Aware AI Framework in Whole-Slide ImagesmedRxiv (medRxiv), 2024 Xiaoge Zhang Tao Wang Chao Yan Fedaa Najdawi Wei Song Yuan Ma Yiu-ming Cheung Sricharan Kumar MedIm 667 0 0 03 Jan 2025
Fatigue Monitoring Using Wearables and AI: Trends, Challenges, and Future Opportunities Kemal Kurniawan Senthil Kumar Jagatheesaperumal Abbas Khosravi R. Alizadehsani U. Rajendra Acharya 201 14 0 22 Dec 2024
The Disparate Benefits of Deep Ensembles Kajetan Schweighofer Adrián Arnaiz-Rodríguez Sepp Hochreiter Nuria Oliver FedML 195 2 0 17 Oct 2024
A Trilogy of AI Safety Frameworks: Paths from Facts and Knowledge Gaps to Reliable Predictions and New Knowledge Simon Kasif AI4CE 101 0 0 09 Oct 2024
AI-based Anomaly Detection for Clinical-Grade Histopathological Diagnostics Jonas Dippel Niklas Prenißl Julius Hense Philipp Liznerski Tobias Winterhoff ... David Horst Maximilian Alber Lukas Ruff Klaus-Robert Müller Frederick Klauschen 173 12 0 21 Jun 2024
Full-ECE: A Metric For Token-level Calibration on Large Language Models Han Liu Yupeng Zhang Bingning Wang Weipeng Chen Xiaolin Hu 112 1 0 17 Jun 2024
Accurate and Reliable Predictions with Mutual-Transport Ensemble Han Liu Peng Cui Bingning Wang Jun Zhu Xiaolin Hu UQCV 82 0 0 30 May 2024
Conditional Shift-Robust Conformal Prediction for Graph Neural Network Akansha Agrawal UQCV 460 1 0 20 May 2024
General Place Recognition Survey: Towards Real-World Autonomy Peng Yin Jianhao Jiao Shiqi Zhao Lingyun Xu Guoquan Huang Howie Choset Sebastian A. Scherer Jianda Han 313 16 0 08 May 2024
DeepGleason: a System for Automated Gleason Grading of Prostate Cancer using Deep Neural Networks Dominik Müller Philip Meyer Lukas Rentschler Robin Manz Jonas Bäcker ... Christoph Wengenmayr Bruno Märkl Ralf Huss Iñaki Soto Rey Johannes Raffler 142 6 0 25 Mar 2024
Evaluation of Predictive Reliability to Foster Trust in Artificial Intelligence. A case study in Multiple Sclerosis Lorenzo Peracchio G. Nicora Enea Parimbelli T. M. Buonocore Roberto Bergamaschi Eleonora Tavazzi A. Dagliati Riccardo Bellazzi 128 2 0 27 Feb 2024
Uncertainty-guided annotation enhances segmentation with the human-in-the-loop Nadieh Khalili Joey Spronck F. Ciompi Jeroen van der Laak G. Litjens 111 3 0 16 Feb 2024
SUDO: a framework for evaluating clinical artificial intelligence systems without ground-truth annotationsNature Communications (Nat. Commun.), 2024 Dani Kiyasseh Aaron Cohen Chengsheng Jiang Nicholas Altieri SyDa 132 13 0 02 Jan 2024
Artificial Intelligence for Digital and Computational PathologyNature Reviews Bioengineering (Nat Rev Bioeng), 2023 Andrew H. Song Guillaume Jaume Drew F. K. Williamson Ming Y. Lu Anurag J. Vaidya Tiffany R. Miller Faisal Mahmood AI4CE 161 217 0 13 Dec 2023
Role of Uncertainty in Anticipatory Trajectory Prediction for a Ping-Pong Playing Robot Nima Rahmanian Michael Gupta Renzo Soatto Srisai Nachuri Michael Psenka Yi-An Ma S. Shankar Sastry 50 0 0 05 Dec 2023
Leveraging Uncertainty Estimates To Improve Classifier Performance Gundeep Arora S. Merugu Anoop Saladi R. Rastogi 126 1 0 20 Nov 2023
A review of uncertainty quantification in medical image analysis: probabilistic and non-probabilistic methods Ling Huang S. Ruan Yucheng Xing Mengling Feng 199 42 0 09 Oct 2023
Contrastive Deep Encoding Enables Uncertainty-aware Machine-learning-assisted Histopathology Nirhoshan Sivaroopan Chamuditha Jayanga Chalani Ekanayake Hasindri Watawana Jathurshan Pradeepkumar Mithunjha Anandakumar Ranga Rodrigo Chamira U. S. Edussooriya D. Wadduwage MedIm UQCV 117 0 0 13 Sep 2023
ScatterUQ: Interactive Uncertainty Visualizations for Multiclass Deep Learning ProblemsVisual .. (VISUAL), 2023 Harry Li Steven Jorgensen J. Holodnak Allan B. Wollaber OOD UQCV 139 3 0 08 Aug 2023
Cycle Consistency-based Uncertainty Quantification of Neural Networks in Inverse Imaging ProblemsIntelligent Computing (IC), 2023 Luzhe Huang Jianing Li Xiaofu Ding Yijie Zhang Hanlong Chen Aydogan Ozcan UQCV 96 2 0 22 May 2023
Slideflow: Deep Learning for Digital Histopathology with Real-Time Whole-Slide VisualizationBMC Bioinformatics (BMC Bioinformatics), 2023 J. Dolezal S. Kochanny E. Dyer Andrew Srisuwananukorn Matteo Sacco Frederick M. Howard Anran Li Prajval Mohan Alexander T. Pearson MedIm 149 43 0 09 Apr 2023
Uncertainty-inspired Open Set Learning for Retinal Anomaly IdentificationNature Communications (Nat. Commun.), 2023 Meng Wang Tian Lin Lianyu Wang Aidi Lin K. Zou ... Wenshu Fan C. Pang Xinjian Chen Haoyu Chen Huazhu Fu 272 58 0 08 Apr 2023
Simple and Efficient Confidence Score for Grading Whole Slide ImagesInternational Conference on Medical Imaging with Deep Learning (MIDL), 2023 M. Lubrano Yaëlle Bellahsen-Harrar Rutger Fick C. Badoual Thomas Walter 83 4 0 08 Mar 2023
FedDBL: Communication and Data Efficient Federated Deep-Broad Learning for Histopathological Tissue ClassificationIEEE Transactions on Cybernetics (IEEE Trans. Cybern.), 2023 Tianpeng Deng Yanqi Huang Guoqiang Han Zhenwei Shi Jiatai Lin Qianming Dou Zaiyi Liu Xiaohui Guo Xin Chen Chu Han FedML 172 10 0 24 Feb 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 190 121 0 16 Feb 2023
Uncertainty estimation for out-of-distribution detection in computational histopathology Lea Goetz OOD 142 0 0 18 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