Publications by authors named "Mark A Anastasio"

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Semi-supervised semantic segmentation of cell nuclei with diffusion model and collaborative learning.
Zhuchen Shao, Sourya Sengupta, Mark A Anastasio, Hua Li

J Med Imaging (Bellingham)· November 2025

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On the utility of virtual staining for downstream applications as it relates to task network capacity.
Sourya Sengupta, Jianquan Xu, Phuong Nguyen, Frank Brooks, Yang Liu, Mark A Anastasio

Biomed Opt Express· October 2025

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Approximating the ideal observer for joint signal detection and estimation tasks by the use of Markov-Chain Monte Carlo with generative adversarial networks.
Dan Li, Kaiyan Li, Weimin Zhou, Mark A Anastasio

J Med Imaging (Bellingham)· September 2025

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A Virtual Imaging Framework for Three-Dimensional Quantitative Optoacoustic Tomography Using Stochastic Numerical Breast Phantoms.
Seonyeong Park, Gangwon Jeong, Umberto Villa, Mark A Anastasio

ArXiv· September 2025

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On the Utility of Virtual Staining for Downstream Applications as it relates to Task Network Capacity.
Sourya Sengupta, Jianquan Xu, Phuong Nguyen, Frank J Brooks, Yang Liu, Mark A Anastasio

bioRxiv· August 2025

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Learning a Filtered Backprojection Reconstruction Method for Photoacoustic Computed Tomography with Hemispherical Measurement Geometries.
Panpan Chen, Seonyeong Park, Refik Mert Cam, Hsuan-Kai Huang, Alexander A Oraevsky, Mark A Anastasio

IEEE Trans Med Imaging· July 2025

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On the Utility of Virtual Staining for Downstream Applications as it relates to Task Network Capacity.
Sourya Sengupta, Jianquan Xu, Phuong Nguyen, Frank J Brooks, Yang Liu, Mark A Anastasio

ArXiv· July 2025

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Fast aberration correction in 3D transcranial photoacoustic computed tomography via a learning-based image reconstruction method.
Hsuan-Kai Huang, Joseph Kuo, Yang Zhang, Yousuf Aborahama, Manxiu Cui, Mark A Anastasio

Photoacoustics· June 2025

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Revisiting the joint estimation of initial pressure and speed-of-sound distributions in photoacoustic computed tomography with consideration of canonical object constraints.
Gangwon Jeong, Umberto Villa, Mark A Anastasio

Photoacoustics· June 2025

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Full-Wave Image Reconstruction in Transcranial Photoacoustic Computed Tomography Using a Finite Element Method.
Yilin Luo, Hsuan-Kai Huang, Karteekeya Sastry, Peng Hu, Xin Tong, Mark A Anastasio

IEEE Trans Med Imaging· February 2025

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Automated assessment of task-based performance of digital mammography and tomosynthesis systems using an anthropomorphic breast phantom and deep learning-based scoring.
Andrey Makeev, Kaiyan Li, Mark A Anastasio, Arthur Emig, Paul Jahnke

J Med Imaging (Bellingham)· January 2025

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Report on the AAPM grand challenge on deep generative modeling for learning medical image statistics.
Rucha Deshpande, Varun A Kelkar, Dimitrios Gotsis, Prabhat Kc, Rongping Zeng, Mark A Anastasio

Med Phys· January 2025

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Estimating Task-based Performance Bounds for Accelerated MRI Image Reconstruction Methods by Use of Learned-Ideal Observers.
Kaiyan Li, Prabhat Kc, Hua Li, Kyle J Myers, Mark A Anastasio

ArXiv· January 2025

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Optimizing quantitative photoacoustic imaging systems: the Bayesian Cramér-Rao bound approach.
Evan Scope Crafts, Mark A Anastasio, Umberto Villa

Inverse Probl· December 2024

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Learning a Filtered Backprojection Reconstruction Method for Photoacoustic Computed Tomography with Hemispherical Measurement Geometries.
Panpan Chen, Seonyeong Park, Refik Mert Cam, Hsuan-Kai Huang, Alexander A Oraevsky, Mark A Anastasio

ArXiv· December 2024

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Attention-based CNN-BiLSTM for sleep state classification of spatiotemporal wide-field calcium imaging data.
Xiaohui Zhang, Eric C Landsness, Hanyang Miao, Wei Chen, Michelle J Tang, Mark A Anastasio

J Neurosci Methods· November 2024

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Investigating the Use of Traveltime and Reflection Tomography for Deep Learning-Based Sound-Speed Estimation in Ultrasound Computed Tomography.
Gangwon Jeong, Fu Li, Trevor M Mitcham, Umberto Villa, Nebojsa Duric, Mark A Anastasio

IEEE Trans Ultrason Ferroelectr Freq Control· November 2024

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Assessing the Capacity of a Denoising Diffusion Probabilistic Model to Reproduce Spatial Context.
Rucha Deshpande, Muzaffer Ozbey, Hua Li, Mark A Anastasio, Frank J Brooks

IEEE Trans Med Imaging· October 2024

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Investigating the use of signal detection information in supervised learning-based image denoising with consideration of task-shift.
Kaiyan Li, Hua Li, Mark A Anastasio

J Med Imaging (Bellingham)· September 2024

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Ortho-positronium lifetime for soft-tissue classification.
Ashish V Avachat, Kholod H Mahmoud, Anthony G Leja, Jiajie J Xu, Mark A Anastasio

Sci Rep· September 2024

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Learning a stable approximation of an existing but unknown inverse mapping: application to the half-time circular Radon transform.
Refik Mert Cam, Umberto Villa, Mark A Anastasio

Inverse Probl· August 2024

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Quantitative phase imaging techniques for measuring scattering properties of cells and tissues: a review-part I.
Neha Goswami, Mark A Anastasio, Gabriel Popescu

J Biomed Opt· June 2024

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Quantitative phase imaging techniques for measuring scattering properties of cells and tissues: a review-part II.
Neha Goswami, Mark A Anastasio, Gabriel Popescu

J Biomed Opt· June 2024

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Report on the AAPM Grand Challenge on deep generative modeling for learning medical image statistics.
Rucha Deshpande, Varun A Kelkar, Dimitrios Gotsis, Prabhat Kc, Rongping Zeng, Mark A Anastasio

ArXiv· May 2024

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Deep-learning-based image super-resolution of an end-expandable optical fiber probe for application in esophageal cancer diagnostics.
Xiaohui Zhang, Mimi Tan, Mansour Nabil, Richa Shukla, Shaleen Vasavada, Mark A Anastasio

J Biomed Opt· April 2024

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