Area of research
Computer Vision and Pattern Recognition · Radiology, Nuclear Medicine and Imaging
Research interest
Research interests include Medical Image Segmentation Techniques, Radiomics and Machine Learning in Medical Imaging, Advanced Neural Network Applications, and Medical Imaging Techniques and Applications.
Active label cleaning for improved dataset quality under resource constraints
Attention gated networks: Learning to leverage salient regions in medical images
Weakly Supervised Estimation of Shadow Confidence Maps in Fetal Ultrasound Imaging
Automated cardiovascular magnetic resonance image analysis with fully convolutional networks
Cardiac MR Segmentation from Undersampled k-space Using Deep Latent Representation Learning
Bayesian Deep Learning for Accelerated MR Image Reconstruction
Semi-supervised Learning for Network-Based Cardiac MR Image Segmentation
DeepCut: Object Segmentation From Bounding Box Annotations Using Convolutional Neural Networks
Standardized Evaluation System for Left Ventricular Segmentation Algorithms in 3D Echocardiography