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Disambiguation of "Anastasio, Mark A."

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Convolutional neural network based automatic plaque characterization for intracoronary optical coherence tomography images.

, , , , , , and . Medical Imaging: Image Processing, volume 10574 of SPIE Proceedings, page 1057432. SPIE, (2018)

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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)
 

Other publications of authors with the same name

Multiobjective Genetic Optimization of Diagnostic Classifiers with Implications for Generating ROC Curves., and . IEEE Trans. Med. Imaging, 18 (8): 675-685 (1999)Learning stochastic object model from noisy imaging measurements using AmbientGANs., , , and . Medical Imaging: Image Perception, Observer Performance, and Technology Assessment, volume 10952 of SPIE Proceedings, page 109520M. SPIE, (2019)A survey of computational frameworks for solving the acoustic inverse problem in three-dimensional photoacoustic computed tomography., , and . CoRR, (2019)Convolutional neural network based automatic plaque characterization for intracoronary optical coherence tomography images., , , , , , and . Medical Imaging: Image Processing, volume 10574 of SPIE Proceedings, page 1057432. SPIE, (2018)Multiobjective genetic optimization of diagnostic classifiers used in the computerized detection of mass lesions in mammography., , and . Medical Imaging: Image Processing, volume 3979 of SPIE Proceedings, SPIE, (2000)Feasibility of half-data image reconstruction in 3-D reflectivity tomography with a spherical aperture., , , , , and . IEEE Trans. Med. Imaging, 24 (9): 1100-1112 (2005)Half-time image reconstruction in thermoacoustic tomography., , , , , and . IEEE Trans. Med. Imaging, 24 (2): 199-210 (2005)Assessing the Impact of Deep Neural Network-Based Image Denoising on Binary Signal Detection Tasks., , , and . IEEE Trans. Medical Imaging, 40 (9): 2295-2305 (2021)Progressively-Growing AmbientGANs for learning stochastic object models from imaging measurements., , , , and . Medical Imaging: Image Perception, Observer Performance, and Technology Assessment, volume 11316 of SPIE Proceedings, page 113160Q. SPIE, (2020)Markov-Chain Monte Carlo approximation of the Ideal Observer using generative adversarial networks., and . Medical Imaging: Image Perception, Observer Performance, and Technology Assessment, volume 11316 of SPIE Proceedings, page 113160D. SPIE, (2020)