31 citations · 88 across the 8 of their papers we have counts for
10 papers
Registration of Histopathogy Images Using Structural Information From Fine Grained Feature Maps
Dwarikanath Mahapatra
Registration is an important part of many clinical workflows and factually, including information of structures of interest improves registration performance. We propose a novel ap…
Pathological Retinal Region Segmentation From OCT Images Using Geometric Relation Based Augmentation
Dwarikanath Mahapatra, Behzad Bozorgtabar, Jean-Philippe Thiran +1
Medical image segmentation is an important task for computer aided diagnosis. Pixelwise manual annotations of large datasets require high expertise and is time consuming. Conventio…
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…