Mark Anastasio

22PUBLICATIONS

83CO-AUTHORS

Satisfiability and optimisationDeep learningSemi- and unsupervised learningBiomedical imagingElectronic device and system performance evaluation, testing and simulation

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Publications (22)

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|Jun 15, 2026

Application of learned ideal observers for estimating task-based performance bounds for computed imaging systems.

|Jan 22, 2026

Enhancing deep learning interpretability for hand-crafted feature-guided histologic image classification via weak-to-strong generalization.

Zong Fan, Changjie Lu, Jialin Yue

|Oct 23, 2025

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

|Mar 24, 2025

Semi-supervised semantic segmentation of cell nuclei with diffusion model and collaborative learning.

Zhuchen Shao, Sourya Sengupta, Mark A Anastasio

|Nov 22, 2024

Optimizing quantitative photoacoustic imaging systems: the Bayesian Cramér-Rao bound approach.

Evan Scope Crafts, Mark A Anastasio, Umberto Villa

|Oct 17, 2024

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

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Frequent Collaborators

Umberto Villa

Hua Li

Neha Goswami

Shankar Subramaniam

Sayantan Bhadra

Rucha Deshpande

Xiaowei Wang

Alexander A Oraevsky

Zachary E Markow

Alexandra M Svoboda

Frequent Collaborators

Umberto Villa

Hua Li

Neha Goswami

Shankar Subramaniam