Area of research
Radiology, Nuclear Medicine and Imaging · Artificial Intelligence
Research interest
Research interests include Infrared Thermography in Medicine, Optical Imaging and Spectroscopy Techniques, AI in cancer detection, and Photoacoustic and Ultrasonic Imaging.
Automatic detection of head and neck squamous cell carcinoma on histologic slides using hyperspectral microscopic imaging
Tumor detection of the thyroid and salivary glands using hyperspectral imaging and deep learning
Hyperspectral Imaging of Head and Neck Squamous Cell Carcinoma for Cancer Margin Detection in Surgical Specimens from 102 Patients Using Deep Learning
Head and Neck Cancer Detection in Digitized Whole-Slide Histology Using Convolutional Neural Networks
Optical biopsy of head and neck cancer using hyperspectral imaging and convolutional neural networks
Hyperspectral imaging for head and neck cancer detection: specular glare and variance of the tumor margin in surgical specimens
Histopathology Feature Mining and Association with Hyperspectral Imaging for the Detection of Squamous Neoplasia
Tumor margin classification of head and neck cancer using hyperspectral imaging and convolutional neural networks
Optical biopsy of head and neck cancer using hyperspectral imaging and convolutional neural networks
Deep convolutional neural networks for classifying head and neck cancer using hyperspectral imaging
Label-free reflectance hyperspectral imaging for tumor margin assessment: a pilot study on surgical specimens of cancer patients
Detection of Head and Neck Cancer in Surgical Specimens Using Quantitative Hyperspectral Imaging