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Digital Mammography DREAM Challenge Overview (Conference Presentation).. Medical Imaging: Computer-Aided Diagnosis, том 10134 из SPIE Proceedings, стр. 101344I. SPIE, (2017)3D convolutional neural network for automatic detection of lung nodules in chest CT., , , и . Medical Imaging: Computer-Aided Diagnosis, том 10134 из SPIE Proceedings, стр. 1013409. SPIE, (2017)Inter- and Intra-Observer Variability of Radiologists Evaluating CBIR Systems., , , , , , и . Digital Mammography / IWDM, том 7361 из Lecture Notes in Computer Science, стр. 482-489. Springer, (2012)Reproducibility of CT-based texture feature quantification of simulated and 3D-printed trabecular bone: influence of noise and reconstruction kernel., , , , и . Medical Imaging: Computer-Aided Diagnosis, том 10950 из SPIE Proceedings, стр. 109501S. SPIE, (2019)Reducing overfitting of a deep learning breast mass detection algorithm in mammography using synthetic images., , , , , , , и . Medical Imaging: Computer-Aided Diagnosis, том 10950 из SPIE Proceedings, стр. 1095004. SPIE, (2019)DICaugment: A Python Package for 3D Medical Imaging Augmentation., , , , и . J. Open Source Softw., 9 (96): 6120 (апреля 2024)AFE-GAN: Synthesizing Electrocardiograms with Atrial Fibrillation Characteristics Using Generative Adversarial Networks., , , и . EMBC, стр. 1-5. IEEE, (2023)Monitoring machine learning-based risk prediction algorithms in the presence of performativity., , , , , и . AISTATS, том 238 из Proceedings of Machine Learning Research, стр. 919-927. PMLR, (2024)Semi-parametric estimation of the area under the precision-recall curve., , , и . Medical Imaging: Image Perception, Observer Performance, and Technology Assessment, том 9787 из SPIE Proceedings, стр. 97870D. SPIE, (2016)Seamless insertion of real pulmonary nodules in chest CT exams., , , , , и . Medical Imaging: Computer-Aided Diagnosis, том 9035 из SPIE Proceedings, стр. 90351K. SPIE, (2014)