Andrew Lagree

Toronto, ON, Canada

Last Updated: 09/26/2026

Save publications for later
Sign Up
Not sure about your diagnosis?
Check Your Symptoms
Found 14 publications

CT-Based Radiomic Features Predict Cervical Lymph Node Metastasis in Dogs With Oral Malignancy: A Machine Learning Study Using Leave-One-Patient-Out Cross-Validation.

CT-Based Radiomic Features Predict Cervical Lymph Node Metastasis in Dogs With Oral Malignancy: A Machine Learning Study Using Leave-One-Patient-Out Cross-Validation.

Journal: Veterinary and comparative oncology
Published: March 30, 2026

Identifying Oncology Patients at High Risk for Potentially Preventable Emergency Department Visits Using a Novel Definition.

Identifying Oncology Patients at High Risk for Potentially Preventable Emergency Department Visits Using a Novel Definition.

Journal: JCO clinical cancer informatics
Published: October 30, 2024

Precision in Parsing: Evaluation of an Open-Source Named Entity Recognizer (NER) in Veterinary Oncology.

Precision in Parsing: Evaluation of an Open-Source Named Entity Recognizer (NER) in Veterinary Oncology.

Journal: Veterinary and comparative oncology
Published: July 15, 2024

Predicting Patterns of Distant Metastasis in Breast Cancer Patients following Local Regional Therapy Using Machine Learning.

Predicting Patterns of Distant Metastasis in Breast Cancer Patients following Local Regional Therapy Using Machine Learning.

Journal: Genes
Published: August 01, 2023

Machine learning analysis of breast ultrasound to classify triple negative and HER2+ breast cancer subtypes.

Machine learning analysis of breast ultrasound to classify triple negative and HER2+ breast cancer subtypes.

Journal: Breast disease
Published: March 13, 2023

Drivers of Emergency Department Use Among Oncology Patients in the Era of Novel Cancer Therapeutics: A Systematic Review.

Drivers of Emergency Department Use Among Oncology Patients in the Era of Novel Cancer Therapeutics: A Systematic Review.

Journal: The oncologist
Published: February 10, 2023

Quantitative digital histopathology and machine learning to predict pathological complete response to chemotherapy in breast cancer patients using pre-treatment tumor biopsies.

Quantitative digital histopathology and machine learning to predict pathological complete response to chemotherapy in breast cancer patients using pre-treatment tumor biopsies.

Journal: Scientific reports
Published: January 23, 2022

Assessment of Digital Pathology Imaging Biomarkers Associated with Breast Cancer Histologic Grade.

Assessment of Digital Pathology Imaging Biomarkers Associated with Breast Cancer Histologic Grade.

Journal: Current oncology (Toronto, Ont.)
Published: September 16, 2021

Machine Learning Frameworks to Predict Neoadjuvant Chemotherapy Response in Breast Cancer Using Clinical and Pathological Features.

Machine Learning Frameworks to Predict Neoadjuvant Chemotherapy Response in Breast Cancer Using Clinical and Pathological Features.

Journal: JCO clinical cancer informatics
Published: January 13, 2021

Analysis of tumor nuclear features using artificial intelligence to predict response to neoadjuvant chemotherapy in high-risk breast cancer patients.

Analysis of tumor nuclear features using artificial intelligence to predict response to neoadjuvant chemotherapy in high-risk breast cancer patients.

Journal: Breast cancer research and treatment
Published: October 22, 2020

A review and comparison of breast tumor cell nuclei segmentation performances using deep convolutional neural networks.

A review and comparison of breast tumor cell nuclei segmentation performances using deep convolutional neural networks.

Journal: Scientific reports
Published: October 06, 2020

Predictive quantitative ultrasound radiomic markers associated with treatment response in head and neck cancer.

Predictive quantitative ultrasound radiomic markers associated with treatment response in head and neck cancer.

Journal: Future science OA
Published: January 10, 2020
Showing 1-12 of 14

Last Updated: 09/26/2026