Daniel Dicenzo
Toronto, ON M4N3M5, Canada
Last Updated: 09/26/2026
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Found 20 publications
Quantitative ultrasound imaging for predicting response and guiding personalized neoadjuvant chemotherapy in breast cancer: randomized phase 2 clinical trial results.
Journal: NPJ precision oncology
Published: May 01, 2025
Quantitative US Delta Radiomics to Predict Radiation Response in Individuals with Head and Neck Squamous Cell Carcinoma.
Journal: Radiology. Imaging cancer
Published: February 23, 2024
Quantitative ultrasound radiomics guided adaptive neoadjuvant chemotherapy in breast cancer: early results from a randomized feasibility study.
Journal: Frontiers in oncology
Published: August 06, 2023
Predicting head and neck cancer treatment outcomes with pre-treatment quantitative ultrasound texture features and optimising machine learning classifiers with texture-of-texture features.
Journal: Frontiers in oncology
Published: July 14, 2023
A priori prediction of breast cancer response to neoadjuvant chemotherapy using quantitative ultrasound, texture derivative and molecular subtype.
Journal: Scientific reports
Published: April 06, 2023
Early Changes in Quantitative Ultrasound Imaging Parameters during Neoadjuvant Chemotherapy to Predict Recurrence in Patients with Locally Advanced Breast Cancer.
Journal: Cancers
Published: December 29, 2021
MRI texture features from tumor core and margin in the prediction of response to neoadjuvant chemotherapy in patients with locally advanced breast cancer.
Journal: Oncotarget
Published: April 05, 2021
Ultrasound delta-radiomics during radiotherapy to predict recurrence in patients with head and neck squamous cell carcinoma.
Journal: Clinical and translational radiation oncology
Published: December 23, 2020
Quantitative ultrasound delta-radiomics during radiotherapy for monitoring treatment responses in head and neck malignancies.
Journal: Future science OA
Published: November 25, 2020
Last Updated: 09/26/2026