Area of research
Computer Vision and Pattern Recognition · Radiology, Nuclear Medicine and Imaging
Research interest
Research interests include Retinal Imaging and Analysis, Advanced Neural Network Applications, Remote-Sensing Image Classification, and Digital Imaging for Blood Diseases.
Image Segmentation for MR Brain Tumor Detection Using Machine Learning: A Review
Artificial intelligence (AI) for medical imaging to combat coronavirus disease (COVID-19): a detailed review with direction for future research
Deep Learning Models for Retinal Blood Vessels Segmentation: A Review
Strided fully convolutional neural network for boosting the sensitivity of retinal blood vessels segmentation
Impact of Image Enhancement Technique on CNN Model for Retinal Blood Vessels Segmentation
Strided U-Net Model: Retinal Vessels Segmentation using Dice Loss
Boosting Sensitivity of a Retinal Vessel Segmentation Algorithm with Convolutional Neural Network