Author

Imon Banerjee

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Oct 2026

Abstract B040: Learning multimodal breast cancer phenotypes for precision oncology

Screening mammography is the cornerstone of breast cancer detection and is routinely performed before treatment initiation, providing a unique opportunity for early risk stratification. Beyond tumor detection, screening mammograms contain imaging biomarkers that reflect underlying tumor biology and the surroundin...

Xiao-Yang Wei, M. Sikha, Zhe-Min Zhang et al. · Cancer Epidemiology, Biomark... · 0 citations

Review Aug 2026

Multimodal artificial intelligence in prostate cancer: integrating multiparametric MRI with clinicopathological, molecular, and functional imaging data.

This review summarizes the deep-learning architectures, fusion strategies, representative applications, and implementation challenges of mpMRI-centered multimodal AI.

M. Fujiwara, Soichiro Yoshida, Imon Banerjee et al. · Abdominal Radiology · 0 citations

Jul 2026

Strategies for Deploying Large Language Models for Ascertaining Clinical Outcomes and Sites of Metastases From Radiology Impressions in Patients With Cancer.

Open-source LLMs, when fine-tuned using labeled data, can effectively automate the ascertainment of key radiophenotypic variables using only the impression section of radiology reports, without the full report text, suggesting that these models may provide a scalable approach for phenotypic characterization of patients...

S. A. Naqvi, I. Riaz, Amir Saeidi et al. · JCO Clinical Cancer Informat... · 0 citations