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Frederick M Howard

Showing results (31-40 of 54) with videos related to

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Academic Radiology|March 30, 2022
Differences Between Ipsilateral and Contralateral Early Parenchymal Enhancement Kinetics Predict Response of Breast Cancer to Neoadjuvant TherapyZhen Ren, Federico D Pineda, Frederick M Howard, et al.
NPJ Breast Cancer|May 11, 2026
Prediction of OncotypeDX recurrence score using hematoxylin and eosin-stained whole slide imagesShachar Cohen, Gil Shamai, Edmond Sabo, et al.
NPJ Breast Cancer|June 15, 2024
Development and validation of a clinical breast cancer tool for accurate prediction of recurrenceAsim Dhungana, Augustin Vannier, Fangyuan Zhao, et al.
NPJ Breast Cancer|April 14, 2023
Integration of clinical features and deep learning on pathology for the prediction of breast cancer recurrence assays and risk of recurrenceFrederick M Howard, James Dolezal, Sara Kochanny, et al.
Ebiomedicine|August 28, 2024
Developing a low-cost, open-source, locally manufactured workstation and computational pipeline for automated histopathology evaluation using deep learningDivya Choudhury, James M Dolezal, Emma Dyer, et al.
Breast Cancer Research and Treatment|February 10, 2025
A randomized phase II trial of nab-paclitaxel with or without mifepristone for advanced triple-negative breast cancerNan Chen, Margarite Matossian, Poornima Saha, et al.
Nature Communications|July 21, 2021
The impact of site-specific digital histology signatures on deep learning model accuracy and biasFrederick M Howard, James Dolezal, Sara Kochanny, et al.
JAMA Network Open|April 13, 2022
Development and Validation of a Decision Analytical Model for Posttreatment Surveillance for Patients With Oropharyngeal CarcinomaVivek Nair, Samuel Auger, Sara Kochanny, et al.
Cancer|December 26, 2023
Validation of the RSClin risk calculator in the National Cancer Data BaseAugustin G L Vannier, Asim Dhungana, Fangyuan Zhao, et al.
Therapeutic Advances in Medical Oncology|October 27, 2025
Virtual multiplex immunofluorescence identifies lymphocyte subsets predictive of response to neoadjuvant therapyAnran Li, Madeleine Torcasso, Anna Woodard, et al.
Pageof 6

Showing results (31-40 of 54) with videos related to

Sort By:
Pageof 6
Academic Radiology|March 30, 2022
Differences Between Ipsilateral and Contralateral Early Parenchymal Enhancement Kinetics Predict Response of Breast Cancer to Neoadjuvant TherapyZhen Ren, Federico D Pineda, Frederick M Howard, et al.
NPJ Breast Cancer|May 11, 2026
Prediction of OncotypeDX recurrence score using hematoxylin and eosin-stained whole slide imagesShachar Cohen, Gil Shamai, Edmond Sabo, et al.
NPJ Breast Cancer|June 15, 2024
Development and validation of a clinical breast cancer tool for accurate prediction of recurrenceAsim Dhungana, Augustin Vannier, Fangyuan Zhao, et al.
NPJ Breast Cancer|April 14, 2023
Integration of clinical features and deep learning on pathology for the prediction of breast cancer recurrence assays and risk of recurrenceFrederick M Howard, James Dolezal, Sara Kochanny, et al.
Ebiomedicine|August 28, 2024
Developing a low-cost, open-source, locally manufactured workstation and computational pipeline for automated histopathology evaluation using deep learningDivya Choudhury, James M Dolezal, Emma Dyer, et al.
Breast Cancer Research and Treatment|February 10, 2025
A randomized phase II trial of nab-paclitaxel with or without mifepristone for advanced triple-negative breast cancerNan Chen, Margarite Matossian, Poornima Saha, et al.
Nature Communications|July 21, 2021
The impact of site-specific digital histology signatures on deep learning model accuracy and biasFrederick M Howard, James Dolezal, Sara Kochanny, et al.
JAMA Network Open|April 13, 2022
Development and Validation of a Decision Analytical Model for Posttreatment Surveillance for Patients With Oropharyngeal CarcinomaVivek Nair, Samuel Auger, Sara Kochanny, et al.
Cancer|December 26, 2023
Validation of the RSClin risk calculator in the National Cancer Data BaseAugustin G L Vannier, Asim Dhungana, Fangyuan Zhao, et al.
Therapeutic Advances in Medical Oncology|October 27, 2025
Virtual multiplex immunofluorescence identifies lymphocyte subsets predictive of response to neoadjuvant therapyAnran Li, Madeleine Torcasso, Anna Woodard, et al.
Pageof 6