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Disambiguation of "Anastasio, Mark A."

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Approximating the Ideal Observer for Joint Signal Detection and Localization Tasks by use of Supervised Learning Methods.

, , and . IEEE Trans. Medical Imaging, 39 (12): 3992-4000 (2020)

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Mark A Nusselein

Mark A Awabdy

Stefano Anastasio

Mark A Nusselein

Mark Yampolsky

Maßnahmen zur Sicherung von E2E-QoS bei verketteten Diensten. Uni München, (2009)
 

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Convolutional neural network based automatic plaque characterization from intracoronary optical coherence tomography images., , , , , , and . CoRR, (2018)A new reconstruction approach for reflection mode diffraction tomography., and . IEEE Trans. Image Processing, 9 (7): 1262-1271 (2000)Autoencoder embedding of task-specific information., , and . Medical Imaging: Image Perception, Observer Performance, and Technology Assessment, volume 10952 of SPIE Proceedings, page 1095207. SPIE, (2019)Automatic microscopic cell counting by use of unsupervised adversarial domain adaptation and supervised density regression., , , , and . Medical Imaging: Digital Pathology, volume 10956 of SPIE Proceedings, page 1095604. SPIE, (2019)Analysis of the Use of Unmatched Backward Operators in Iterative Image Reconstruction With Application to Three-Dimensional Optoacoustic Tomography., , , , , and . IEEE Trans. Computational Imaging, 5 (3): 437-449 (2019)Learning efficient channels with a dual loss autoencoder., , and . Medical Imaging: Image Perception, Observer Performance, and Technology Assessment, volume 11316 of SPIE Proceedings, page 113160C. SPIE, (2020)Investigating the robustness of a learning-based method for quantitative phase retrieval from propagation-based x-ray phase contrast measurements under laboratory conditions., , , and . CoRR, (2022)High-Dimensional MR Reconstruction Integrating Subspace and Adaptive Generative Models., , , , and . CoRR, (2023)Application of DatasetGAN in medical imaging: preliminary studies., , , and . Medical Imaging: Image Processing, volume 12032 of SPIE Proceedings, SPIE, (2022)Revisiting model self-interpretability in a decision-theoretic way for binary medical image classification., and . CoRR, (2023)