Area of research
Artificial Intelligence · Radiology, Nuclear Medicine and Imaging
Research interest
Research interests include AI in cancer detection, Breast Lesions and Carcinomas, Radiomics and Machine Learning in Medical Imaging, and Digital Radiography and Breast Imaging.
Ultrafast Bilateral DCE-MRI of the Breast with Conventional Fourier Sampling
Importance of a Personal History of Breast Cancer as a Risk Factor for the Development of Subsequent Breast Cancer: Results From Screening Breast MRI
Comparative analysis of image-based phenotypes of mammographic density and parenchymal patterns in distinguishing between<i>BRCA1/2</i>cases, unilateral cancer cases, and controls
Segmentation of breast masses on dedicated breast computed tomography and three-dimensional breast ultrasound images
Utility of Preoperative Ultrasound for Predicting pN2 or Higher Stage Axillary Lymph Node Involvement in Patients With Newly Diagnosed Breast Cancer
Accuracy of Axillary Lymph Node Staging in Breast Cancer Patients
Computerized detection of breast cancer on automated breast ultrasound imaging of women with dense breasts
Computerized Analysis of Mammographic Parenchymal Patterns on a Large Clinical Dataset of Full-Field Digital Mammograms: Robustness Study with Two High-Risk Datasets