William Tran
机构: Associate Professor & Senior Scientist, Radiation Oncology (University of Toronto)
每年引用次数
引用次数
引用: 2,668
H-指数: 31
I10-指数 : 60
出版物: 132
Eribulin-induced radiation recall dermatitis: a case report and brief review of the literature.
William T Tran , Carolina Ibáñez , Mauricio P Pinto , Cesar Sanchez
Ecancermedicalscience 14 1006
1
2020
Quantitative ultrasound delta-radiomics during radiotherapy for monitoring treatment responses in head and neck malignancies.
Ali Sadeghi-Naini , Lakshmanan Sannachi , Ian Poon , William T Tran
Future Science OA 6 ( 9)
2
2020
Machine Learning Frameworks to Predict Neoadjuvant Chemotherapy Response in Breast Cancer Using Clinical and Pathological Features
Elzbieta Slodkowska , Ali Sadeghi-Naini , Ali Sadeghi-Naini , Ali Sadeghi-Naini
JCO Clinical Cancer Informatics 5 ( 5) 66 -80
19
2021
A review and comparison of breast tumor cell nuclei segmentation performances using deep convolutional neural networks.
Elzbieta Slodkowska , Ali Sadeghi-Naini , William T Tran , Sonal Gandhi
Scientific Reports 11 ( 1) 8025 -8025
23
2021
Predicting breast cancer response to neoadjuvant chemotherapy using pretreatment diffuse optical spectroscopic texture analysis.
William T Tran , Mehrdad J Gangeh , Lakshmanan Sannachi , Lee Chin
British Journal of Cancer 116 ( 10) 1329 -1339
19
2017
Predictive quantitative ultrasound radiomic markers associated with treatment response in head and neck cancer.
William T Tran , Harini Suraweera , Karina Quaioit , Daniel Cardenas
Future Science OA 6 ( 1)
14
2020
Pitfalls in machine learning‐based assessment of tumor‐infiltrating lymphocytes in breast cancer: A report of the International Immuno‐Oncology Biomarker Working Group on Breast Cancer
Jeppe Thagaard , Glenn Broeckx , David B Page , Chowdhury Arif Jahangir
The Journal of pathology 260 ( 5) 498 -513
12
2023
Spatial analyses of immune cell infiltration in cancer: current methods and future directions: A report of the International Immuno‐Oncology Biomarker Working Group on Breast Cancer
David B Page , Glenn Broeckx , Chowdhury Arif Jahangir , Sara Verbandt
The Journal of pathology 260 ( 5) 514 -532
8
2023
Image‐based multiplex immune profiling of cancer tissues: translational implications. A report of the International Immuno‐oncology Biomarker Working Group on Breast Cancer
Chowdhury Arif Jahangir , David B Page , Glenn Broeckx , Claudia A Gonzalez
The Journal of pathology
2024
Comparative Evaluation of Tumor-Infiltrating Lymphocytes in Companion Animals: Immuno-Oncology as a Relevant Translational Model for Cancer Therapy
Christopher J Pinard , Andrew Lagree , Fang-I Lu , Jonathan Klein
Cancers 14 ( 20) 5008 -5008
7
2022
Individualising radiation therapy decisions in breast cancer patients based on tumour infiltrating lymphocytes and genomic biomarkers
Melanie Machiels , Redouane Oulkadi , Trine Tramm , Shane R Stecklein
The Breast
2
2023
Response monitoring using quantitative ultrasound methods and supervised dictionary learning in locally advanced breast cancer
Mehrdad J Gangeh , Brandon Fung , Hadi Tadayyon , William T Tran
Medical Imaging 2016: Image Processing 9784 296 -301
1
2016
Quantitative US Delta Radiomics to Predict Radiation Response in Individuals with Head and Neck Squamous Cell Carcinoma
Laurentius Oscar Osapoetra , Archya Dasgupta , Daniel DiCenzo , Kashuf Fatima
Radiology: Imaging Cancer 6 ( 2) e230029 -e230029
2024
Effect of Treatment Sequencing on Tumor Response to Combined Treatment with Ultrasound-drive Microbubbles and Radiotherapy
Jonathan Klein , William T Tran , Priscilla Lai , Azza Al-Mahrouki
Cureus Journal of Medical Science
2017
Abstract| PDF| Full Text| Order a Reprint| https://doi. org/10.18632/oncoscience. 302
William T Tran , Lakshmanan Sannachi , Naum Papanicolau , Hadi Tadayyon
Quantitative digital histopathology and machine learning to predict pathological complete response to chemotherapy in breast cancer patients using pre-treatment tumor biopsies
Khadijeh Saednia , Andrew Lagree , Marie A Alera , Lauren Fleshner
Scientific Reports 12 ( 1) 9690 -9690
16
2022
Budget Impact Analysis of Preoperative Radioactive Seed Localization
Wyanne Law , Nicole Look Hong , Ananth Ravi , Lisa Day
Annals of Surgical Oncology
12
2020
Machine learning analysis of breast ultrasound to classify triple negative and HER2+ breast cancer subtypes
Romuald Ferre , Janne Elst , Seanthan Senthilnathan , Andrew Lagree
Breast Disease 42 ( 1) 59 -66
11
2023
A cascaded deep learning framework for segmentation of nuclei in digital histology images
Khadijeh Saednia , William T Tran , Ali Sadeghi-Naini
2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) 4764 -4767
5
2022
A hierarchical self-attention-guided deep learning framework to predict breast cancer response to chemotherapy using pre-treatment tumor biopsies
Khadijeh Saednia , William T Tran , Ali Sadeghi-Naini
Medical Physics
3
2023