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Editorial: AI-enabled breakthroughs in computational imaging and computer vision

Year: 2026

Type: editorial

Abstract: information is acquired, reconstructed, interpreted, and translated into decisions. In computational imaging 6 and computer vision, progress is no longer defined by model accuracy alone. It increasingly depends on (Li et al., 2022;Zhou et al., 2023;Li et al., 2025), reflect this 12 broader shift toward robust, deployment-aware AI.

Source: Frontiers in Artificial Intelligence

DOI: 10.3389/frai.2026.1811469

Authors: Liping Zhang, Xiaobo Li

Institutions: Harvard University, Massachusetts General Hospital, Athinoula A. Martinos Center for Biomedical Imaging, University of Hong Kong, Tianjin University, Ocean University of China

Language: English

Topic: Advanced Neural Network Applications

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $2,353

OpenAlex ID: W7151288096

Cites: 7

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