Area of research
Artificial Intelligence · Radiology, Nuclear Medicine and Imaging
Research interest
Research interests include AI in cancer detection, Radiomics and Machine Learning in Medical Imaging, Gene expression and cancer classification, and Geological and Geochemical Analysis.
Physical Color Calibration of Digital Pathology Scanners for Robust Artificial Intelligence–Assisted Cancer Diagnosis
Development and prognostic validation of a three-level NHG-like deep learning-based model for histological grading of breast cancer
Improved breast cancer histological grading using deep learning
Predicting Molecular Phenotypes from Histopathology Images: A Transcriptome-Wide Expression–Morphology Analysis in Breast Cancer