47 citations · 279 across the 41 of their papers we have counts for
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Anomaly Detection on X-Rays Using Self-Supervised Aggregation Learning
Behzad Bozorgtabar, Dwarikanath Mahapatra, Guillaume Vray +1
Deep anomaly detection models using a supervised mode of learning usually work under a closed set assumption and suffer from overfitting to previously seen rare anomalies at traini…
Structure Preserving Stain Normalization of Histopathology Images Using Self-Supervised Semantic Guidance
Dwarikanath Mahapatra, Behzad Bozorgtabar, Jean-Philippe Thiran +1
Although generative adversarial network (GAN) based style transfer is state of the art in histopathology color-stain normalization, they do not explicitly integrate structural info…
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…