47 citations · 279 across the 41 of their papers we have counts for
8 papers · 1 filter
Generative Adversarial Networks And Domain Adaptation For Training Data Independent Image Registration
Dwarikanath Mahapatra
Medical image registration is an important task in automated analysis of multi-modal images and temporal data involving multiple patient visits. Conventional approaches, although u…
Adversarial Pulmonary Pathology Translation for Pairwise Chest X-ray Data Augmentation
Yunyan Xing, Zongyuan Ge, Rui Zeng +4
Recent works show that Generative Adversarial Networks (GANs) can be successfully applied to chest X-ray data augmentation for lung disease recognition. However, the implausible an…
sZoom: A Framework for Automatic Zoom into High Resolution Surveillance Videos
Mukesh Saini, Benjamin Guthier, Hao Kuang +2
Current cameras are capable of recording high resolution video. While viewing on a mobile device, a user can manually zoom into this high resolution video to get more detailed view…
AMD Severity Prediction And Explainability Using Image Registration And Deep Embedded Clustering
Dwarikanath Mahapatra
We propose a method to predict severity of age related macular degeneration (AMD) from input optical coherence tomography (OCT) images. Although there is no standard clinical sever…
Informative sample generation using class aware generative adversarial networks for classification of chest Xrays
Behzad Bozorgtabar, Dwarikanath Mahapatra, Hendrik von Teng +4
Training robust deep learning (DL) systems for disease detection from medical images is challenging due to limited images covering different disease types and severity. The problem…
Training Data Independent Image Registration With GANs Using Transfer Learning And Segmentation Information
Dwarikanath Mahapatra, Zongyuan Ge
Registration is an important task in automated medical image analysis. Although deep learning (DL) based image registration methods out perform time consuming conventional approach…