Learning from Multiple Expert Annotators for Enhancing Anomaly Detection
in Medical Image Analysis

Learning from Multiple Expert Annotators for Enhancing Anomaly Detection in Medical Image Analysis

20 March 2022

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Papers citing "Learning from Multiple Expert Annotators for Enhancing Anomaly Detection in Medical Image Analysis"

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Title
Exemplar Med-DETR: Toward Generalized and Robust Lesion Detection in Mammogram Images and beyondInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2025 Sheethal Bhat Bogdan Georgescu A. B. Panambur Mathias Zinnen Tri-Thien Nguyen ... Karim Khalifa Elbarbary Siming Bayer Florin-Cristian Ghesu Sasa Grbic Andreas K. Maier MedIm 87 0 0 25 Jul 2025
Label Convergence: Defining an Upper Performance Bound in Object Recognition through Contradictory Annotations David Tschirschwitz Volker Rodehorst 159 1 0 14 Sep 2024
Context Enhancement with Reconstruction as Sequence for Unified Unsupervised Anomaly Detection Hui-Yue Yang Hui Chen Lihao Liu Zijia Lin Kai Chen Liejun Wang Jungong Han Guiguang Ding 115 1 0 10 Sep 2024
Bayesian Detector Combination for Object Detection with Crowdsourced Annotations Zhi Qin Tan Olga Isupova Gustavo Carneiro Xiatian Zhu Yunpeng Li ObjD 106 1 0 10 Jul 2024
Drawing the Same Bounding Box Twice? Coping Noisy Annotations in Object Detection with Repeated Labels David Tschirschwitz C. Benz Morris Florek Henrik Norderhus Benno Stein Volker Rodehorst 87 1 0 18 Sep 2023
Active Policy Improvement from Multiple Black-box Oracles Xuefeng Liu Takuma Yoneda Chaoqi Wang Matthew R. Walter Yuxin Chen 177 12 0 17 Jun 2023
Evaluating the impact of an explainable machine learning system on the interobserver agreement in chest radiograph interpretation Hieu H. Pham H. Nguyen Hieu T. Nguyen Linh T. Le K. Lam 95 1 0 01 Apr 2023
Improving Object Detection in Medical Image Analysis through Multiple Expert Annotators: An Empirical Investigation Hieu H. Pham Khiem H. Le Tuan V. Tran H. Nguyen 89 2 0 29 Mar 2023
Learning to diagnose common thorax diseases on chest radiographs from radiology reports in Vietnamese Thao T. B. Nguyen T. M. Vo Thang V. Nguyen Hieu H. Pham H. Nguyen 94 6 0 11 Sep 2022
An Accurate and Explainable Deep Learning System Improves Interobserver Agreement in the Interpretation of Chest Radiograph Hieu H. Pham H. Q. Nguyen H. T. Nguyen T. Le M. Dao MedIm 134 17 0 06 Aug 2022