Connectionists: CfPs: Frontiers in Radiology

[H.Z. Kuai]

Call for Papers

Frontiers in Radiology -- Artificial Intelligence in Radiology

Research Topics: Foundation Model in Radiology
<https://www.frontiersin.org/research-topics/65246/foundation-model-in-radiology>
https://www.frontiersin.org/research-topics/65246/foundation-model-in-radiology

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Manuscript Summary Submission Deadline: 30 September 2024
Manuscript Submission Deadline: 20 December 2024
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Dear all, we invite original research articles and systematic reviews that
showcase the latest breakthroughs, challenges, and future directions in
this emerging field of radiology-specific foundation models. We welcome
submissions from scholars working at the intersection of artificial
intelligence, machine learning, and domain applications.

Topics of interest include, but are not limited to:
• New neural network architecture design for radiology-specific foundation
models.
• New training, fine-tuning, and adaptation methods for radiology-specific
foundation models.
• New multimodality alignment algorithms for radiology-specific foundation
models.
• New paradigm for incorporating human feedback for aligning
radiology-specific foundation models.
• New methods for optimizing, accelerating, and compressing
radiology-specific foundation models.
• New frameworks for fusing and integrating multiple foundation models and
their applications in radiology.
• Privacy-preserving training of foundation models and their applications
in radiology.
• Interpretability and explainability of radiology-specific foundation
models.
• Trustworthiness of radiology-specific foundation models, such as ethical
considerations and bias mitigation.
• Evaluation metrics, open datasets, and benchmarking for
radiology-specific foundation models.

Frontiers in Radiology is a leading, interdisciplinary journal that
publishes impactful discoveries and clinical experience studies in all
areas of radiology, with a particular emphasis on new technology
developments and applications.
Frontiers in Radiology is indexed in:
Google Scholar, DOAJ, CrossRef, CLOCKSS, OpenAIRE, PubMed Central (PMC),
Scopus, Web of Science Emerging Sources Citation Index (ESCI).

* Topic Editors *
Lu Zhang, Indiana University, Purdue University Indianapolis, Indianapolis,
United States
Hongzhi Kuai, Maebashi Institute of Technology, Maebashi, Japan
Lin Zhao, University of Georgia, Athens, United States
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