Area of research
Cancer Research · Artificial Intelligence
Research interest
Research interests include Breast Cancer Treatment Studies, AI in cancer detection, Breast Lesions and Carcinomas, and Radiomics and Machine Learning in Medical Imaging.
Machine learning analysis of breast ultrasound to classify triple negative and HER2+ breast cancer subtypes
Predicting Patterns of Distant Metastasis in Breast Cancer Patients following Local Regional Therapy Using Machine Learning
Quantitative digital histopathology and machine learning to predict pathological complete response to chemotherapy in breast cancer patients using pre-treatment tumor biopsies
A review and comparison of breast tumor cell nuclei segmentation performances using deep convolutional neural networks
Machine Learning Frameworks to Predict Neoadjuvant Chemotherapy Response in Breast Cancer Using Clinical and Pathological Features
Analysis of tumor nuclear features using artificial intelligence to predict response to neoadjuvant chemotherapy in high-risk breast cancer patients
Assessment of Digital Pathology Imaging Biomarkers Associated with Breast Cancer Histologic Grade
Computational Radiology in Breast Cancer Screening and Diagnosis Using Artificial Intelligence
Application of a risk-management framework for integration of stromal tumor-infiltrating lymphocytes in clinical trials
Personalized Breast Cancer Treatments Using Artificial Intelligence in Radiomics and Pathomics