Contrast-Enhanced Spectral Mammography-Based Radiomics Nomogram for the Prediction of Neoadjuvant Chemotherapy-Insensitive Breast Cancers

Overview of attention for article published in Frontiers in oncology, February 2021

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So far, Dimensions has found 30 publications that cite this research output.

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A Transfer Learning Framework for Lung Cancer Classification Using EfficientV2-L: Generalizability Assessment

Conference proceeding (April 2024)

Develop and Validate a Nomogram Combining Contrast-Enhanced Spectral Mammography Deep Learning with Clinical-Pathological Features to Predict Neoadjuvant Chemotherapy Response in Patients with ER-Positive/HER2-Negative Breast Cancer

Article in Academic Radiology (April 2024)

A real-world clinicopathological model for predicting pathological complete response to neoadjuvant chemotherapy in breast cancer

Article in Frontiers in Oncology (February 2024)

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