Articles with public access mandates - Mark A. AnastasioLearn more
Not available anywhere: 51
Statistical reconstruction of material decomposed data in spectral CT
CO Schirra, E Roessl, T Koehler, B Brendel, A Thran, D Pan, ...
IEEE transactions on medical imaging 32 (7), 1249-1257, 2013
Mandates: US National Institutes of Health
Low density contrast agents for x-ray phase contrast imaging: the use of ambient air for x-ray angiography of excised murine liver tissue
CM Laperle, TJ Hamilton, P Wintermeyer, EJ Walker, D Shi, MA Anastasio, ...
Physics in Medicine & Biology 53 (23), 6911, 2008
Mandates: US National Institutes of Health, German Research Foundation
Propagation based differential phase contrast imaging and tomography of murine tissue with a laser plasma x-ray source
CM Laperle, P Wintermeyer, JR Wands, D Shi, MA Anastasio, X Li, B Ahr, ...
Applied Physics Letters 91 (17), 2007
Mandates: German Research Foundation
Advanced laser system for 3D optoacoustic tomography of the breast
M Klosner, G Chan, C Wu, DF Heller, R Su, S Ermilov, HP Brecht, ...
Photons Plus Ultrasound: Imaging and Sensing 2016 9708, 939-952, 2016
Mandates: US National Institutes of Health
Task-based performance evaluation of deep neural network-based image denoising
K Li, W Zhou, H Li, MA Anastasio
Medical Imaging 2021: Image Perception, Observer Performance, and Technology …, 2021
Mandates: US National Institutes of Health
Task-based evaluation of deep image super-resolution in medical imaging
VA Kelkar, X Zhang, J Granstedt, H Li, MA Anastasio
Medical Imaging 2021: Image Perception, Observer Performance, and Technology …, 2021
Mandates: US National Institutes of Health
3D laser optoacoustic ultrasonic imaging system for preclinical research
SA Ermilov, A Conjusteau, T Hernandez, R Su, V Nadvoretskiy, ...
Photons Plus Ultrasound: Imaging and Sensing 2013 8581, 113-117, 2013
Mandates: US National Institutes of Health
A task-informed model training method for deep neural network-based image denoising
K Li, H Li, MA Anastasio
Medical Imaging 2022: Image Perception, Observer Performance, and Technology …, 2022
Mandates: US Department of Defense, US National Institutes of Health
Breast ultrasound computed tomography using waveform inversion with source encoding
K Wang, T Matthews, F Anis, C Li, N Duric, MA Anastasio
Medical Imaging 2015: Ultrasonic Imaging and Tomography 9419, 50-56, 2015
Mandates: US National Institutes of Health
Investigation of an elevation-focused transducer model for three-dimensional full-waveform inversion in ultrasound computed tomography
F Li, U Villa, N Duric, MA Anastasio
Medical Imaging 2022: Ultrasonic Imaging and Tomography 12038, 206-214, 2022
Mandates: US National Institutes of Health
Application of signal detection theory to assess optoacoustic imaging systems
Y Lou, A Oraevsky, MA Anastasio
Photons Plus Ultrasound: Imaging and Sensing 2016 9708, 688-696, 2016
Mandates: US National Institutes of Health
Effect of rotating partial illumination on image reconstruction for optoacoustic breast tomography
Y Lou, V Nadvoretskiy, K Wang, S Emilov, A Oraevsky, MA Anastasio
Photons Plus Ultrasound: Imaging and Sensing 2015 9323, 555-560, 2015
Mandates: US National Institutes of Health
Joint reconstruction of the sound speed and initial pressure distributions for ultrasound computed tomography and photoacoustic computed tomography
TP Matthews, MA Anastasio
Medical Imaging 2017: Ultrasonic Imaging and Tomography 10139, 79-85, 2017
Mandates: US National Science Foundation, US Department of Defense, US National …
SlabGAN: a method for generating efficient 3D anisotropic medical volumes using generative adversarial networks
JL Granstedt, VA Kelkar, W Zhou, MA Anastasio
Medical Imaging 2021: Image Processing 11596, 329-335, 2021
Mandates: US National Science Foundation, US National Institutes of Health
Learning efficient channels with a dual loss autoencoder
JL Granstedt, W Zhou, MA Anastasio
Medical Imaging 2020: Image Perception, Observer Performance, and Technology …, 2020
Mandates: US National Science Foundation, US National Institutes of Health
The Effectiveness of the omnidirectional illumination in full-ring photoacoustic tomography
S Alshahrani, A Pattyn, N Alijabbari, Y Yan, M Anastasio, ...
2018 IEEE International Ultrasonics Symposium (IUS), 1-4, 2018
Mandates: US Department of Defense
Sparsity regularized data-space restoration in optoacoustic tomography
K Wang, R Su, AA Oraevsky, MA Anastasio
Photons Plus Ultrasound: Imaging and Sensing 2012 8223, 408-414, 2012
Mandates: US National Institutes of Health
Investigation of iterative image reconstruction in optoacoustic tomography
K Wang, R Su, AA Oraevsky, MA Anastasio
Photons Plus Ultrasound: Imaging and Sensing 2012 8223, 379-385, 2012
Mandates: US National Institutes of Health
An optical, endoscopic brush for high-yield diagnostics in esophageal cancer
S Anandasabapathy, X Zhang, M Anastasio, R Richards-Kortum, ...
Endoscopic Microscopy XVI 11620, 116200B, 2021
Mandates: US National Institutes of Health
Learning a projection operator onto the null space of a linear imaging operator
J Kuo, J Granstedt, U Villa, MA Anastasio
Medical Imaging 2021: Physics of Medical Imaging 11595, 1019-1025, 2021
Mandates: US National Science Foundation, US National Institutes of Health
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