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William T Tran

Showing results (41-50 of 53) with videos related to

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JCO Clinical Cancer Informatics|January 13, 2021
Machine Learning Frameworks to Predict Neoadjuvant Chemotherapy Response in Breast Cancer Using Clinical and Pathological FeaturesNicholas Meti, Khadijeh Saednia, Andrew Lagree, et al.
Future Science OA|November 25, 2020
Quantitative ultrasound delta-radiomics during radiotherapy for monitoring treatment responses in head and neck malignanciesWilliam T Tran, Harini Suraweera, Karina Quiaoit, et al.
Current Oncology (Toronto, Ont.)|December 13, 2021
Assessment of Digital Pathology Imaging Biomarkers Associated with Breast Cancer Histologic GradeAndrew Lagree, Audrey Shiner, Marie Angeli Alera, et al.
British Journal of Cancer|April 19, 2017
Predicting breast cancer response to neoadjuvant chemotherapy using pretreatment diffuse optical spectroscopic texture analysisWilliam T Tran, Mehrdad J Gangeh, Lakshmanan Sannachi, et al.
Oncotarget|November 4, 2020
Quantitative ultrasound radiomics using texture derivatives in prediction of treatment response to neo-adjuvant chemotherapy for locally advanced breast cancerArchya Dasgupta, Stephen Brade, Lakshmanan Sannachi, et al.
Cancers|June 26, 2026
Determining Optimal Fractionation of Neoadjuvant Radiation in Low-Risk, Early-Stage Breast Cancer-Randomized SIGNAL Clinical TrialMelanie Spears, Michael Lock, Brian Yaremko, et al.
Cancers|October 27, 2022
Comparative Evaluation of Tumor-Infiltrating Lymphocytes in Companion Animals: Immuno-Oncology as a Relevant Translational Model for Cancer TherapyChristopher J Pinard, , Andrew Lagree, et al.
Genes|September 28, 2023
Predicting Patterns of Distant Metastasis in Breast Cancer Patients following Local Regional Therapy Using Machine LearningAudrey Shiner, Alex Kiss, Khadijeh Saednia, et al.
Plos One|July 28, 2020
Quantitative ultrasound radiomics for therapy response monitoring in patients with locally advanced breast cancer: Multi-institutional study resultsKarina Quiaoit, Daniel DiCenzo, Kashuf Fatima, et al.
Cancer Medicine|July 1, 2020
Quantitative ultrasound radiomics in predicting response to neoadjuvant chemotherapy in patients with locally advanced breast cancer: Results from multi-institutional studyDaniel DiCenzo, Karina Quiaoit, Kashuf Fatima, et al.
Pageof 6

Showing results (41-50 of 53) with videos related to

Sort By:
Pageof 6
JCO Clinical Cancer Informatics|January 13, 2021
Machine Learning Frameworks to Predict Neoadjuvant Chemotherapy Response in Breast Cancer Using Clinical and Pathological FeaturesNicholas Meti, Khadijeh Saednia, Andrew Lagree, et al.
Future Science OA|November 25, 2020
Quantitative ultrasound delta-radiomics during radiotherapy for monitoring treatment responses in head and neck malignanciesWilliam T Tran, Harini Suraweera, Karina Quiaoit, et al.
Current Oncology (Toronto, Ont.)|December 13, 2021
Assessment of Digital Pathology Imaging Biomarkers Associated with Breast Cancer Histologic GradeAndrew Lagree, Audrey Shiner, Marie Angeli Alera, et al.
British Journal of Cancer|April 19, 2017
Predicting breast cancer response to neoadjuvant chemotherapy using pretreatment diffuse optical spectroscopic texture analysisWilliam T Tran, Mehrdad J Gangeh, Lakshmanan Sannachi, et al.
Oncotarget|November 4, 2020
Quantitative ultrasound radiomics using texture derivatives in prediction of treatment response to neo-adjuvant chemotherapy for locally advanced breast cancerArchya Dasgupta, Stephen Brade, Lakshmanan Sannachi, et al.
Cancers|June 26, 2026
Determining Optimal Fractionation of Neoadjuvant Radiation in Low-Risk, Early-Stage Breast Cancer-Randomized SIGNAL Clinical TrialMelanie Spears, Michael Lock, Brian Yaremko, et al.
Cancers|October 27, 2022
Comparative Evaluation of Tumor-Infiltrating Lymphocytes in Companion Animals: Immuno-Oncology as a Relevant Translational Model for Cancer TherapyChristopher J Pinard, , Andrew Lagree, et al.
Genes|September 28, 2023
Predicting Patterns of Distant Metastasis in Breast Cancer Patients following Local Regional Therapy Using Machine LearningAudrey Shiner, Alex Kiss, Khadijeh Saednia, et al.
Plos One|July 28, 2020
Quantitative ultrasound radiomics for therapy response monitoring in patients with locally advanced breast cancer: Multi-institutional study resultsKarina Quiaoit, Daniel DiCenzo, Kashuf Fatima, et al.
Cancer Medicine|July 1, 2020
Quantitative ultrasound radiomics in predicting response to neoadjuvant chemotherapy in patients with locally advanced breast cancer: Results from multi-institutional studyDaniel DiCenzo, Karina Quiaoit, Kashuf Fatima, et al.
Pageof 6