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Comment
. 2025 May;7(3):e250141.
doi: 10.1148/rycan.250141.

Deep Learning Radiopathomics for Predicting Tumor Vasculature and Prognosis in Hepatocellular Carcinoma

Mohammad Mirza-Aghazadeh-Attari  1
Affiliations
Comment

Deep Learning Radiopathomics for Predicting Tumor Vasculature and Prognosis in Hepatocellular Carcinoma

Mohammad Mirza-Aghazadeh-Attari. Radiol Imaging Cancer. 2025 May.
No abstract available

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Conflict of interest statement

Disclosures of conflicts of interest: M.M.A.A. Member of the Radiology: Imaging Cancer trainee editorial board.

Figures

Mohammad Mirza-Aghazadeh-Attari, MD, MPH, is a postdoctoral research fellow in the Division of Interventional Radiology at Johns Hopkins Medical Institutes in Baltimore, Maryland. His research interests encompass the role of diagnostic imaging in interventional oncology, radiogenomics, quantitative imaging, the intricate mechanisms of oncogenesis, and how they can be integrated with the pillars of cancer therapy using emerging interventional radiology techniques.
Mohammad Mirza-Aghazadeh-Attari, MD, MPH, is a postdoctoral research fellow in the Division of Interventional Radiology at Johns Hopkins Medical Institutes in Baltimore, Maryland. His research interests encompass the role of diagnostic imaging in interventional oncology, radiogenomics, quantitative imaging, the intricate mechanisms of oncogenesis, and how they can be integrated with the pillars of cancer therapy using emerging interventional radiology techniques.
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References

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