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Disambiguation of "Anastasio, Mark A."

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Deeply-Supervised Density Regression for Automatic Cell Counting in Microscopy Images.

, , , , and . CoRR, (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)
 

Other publications of authors with the same name

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)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)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)Application of DatasetGAN in medical imaging: preliminary studies., , , and . Medical Imaging: Image Processing, volume 12032 of SPIE Proceedings, SPIE, (2022)Investigation of adversarial robust training for establishing interpretable CNN-based numerical observers., , , and . Medical Imaging: Image Perception, Observer Performance, and Technology Assessment, volume 12035 of SPIE Proceedings, SPIE, (2022)Assessing regularization in tomographic imaging via hallucinations in the null space., , , and . Medical Imaging: Image Perception, Observer Performance, and Technology Assessment, volume 11599 of SPIE Proceedings, SPIE, (2021)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)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)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)