activity
20162026
most citedOutlier-based Autism Detection using Longitudinal Structural MRI

47 citations · 279 across the 41 of their papers we have counts for

collaborators
Showing 2021Show all

8 papers · 1 filter

cs.CV2021

Multimodal Generalized Zero Shot Learning for Gleason Grading using Self-Supervised Learning

Dwarikanath Mahapatra

Gleason grading from histopathology images is essential for accurate prostate cancer (PCa) diagnosis. Since such images are obtained after invasive tissue resection quick diagnosis…

eess.IV2021

Learning of Inter-Label Geometric Relationships Using Self-Supervised Learning: Application To Gleason Grade Segmentation

Dwarikanath Mahapatra

Segmentation of Prostate Cancer (PCa) tissues from Gleason graded histopathology images is vital for accurate diagnosis. Although deep learning (DL) based segmentation methods achi…

eess.IV2021★ 2 cited

CT Image Synthesis Using Weakly Supervised Segmentation and Geometric Inter-Label Relations For COVID Image Analysis

Dwarikanath Mahapatra, Ankur Singh

While medical image segmentation is an important task for computer aided diagnosis, the high expertise requirement for pixelwise manual annotations makes it a challenging and time…

eess.IV2021

Gated Fusion Network for SAO Filter and Inter Frame Prediction in Versatile Video Coding

Shiba Kuanar, Dwarikanath Mahapatra, Vassilis Athitsos +1

To achieve higher coding efficiency, Versatile Video Coding (VVC) includes several novel components, but at the expense of increasing decoder computational complexity. These techno…

eess.IV2021★ 4 cited

Multi-scale Deep Learning Architecture for Nucleus Detection in Renal Cell Carcinoma Microscopy Image

Shiba Kuanar, Vassilis Athitsos, Dwarikanath Mahapatra +1

Clear cell renal cell carcinoma (ccRCC) is one of the most common forms of intratumoral heterogeneity in the study of renal cancer. ccRCC originates from the epithelial lining of p…

cs.CV2021★ 1 cited

Relational Subsets Knowledge Distillation for Long-tailed Retinal Diseases Recognition

Lie Ju, Xin Wang, Lin Wang +5

In the real world, medical datasets often exhibit a long-tailed data distribution (i.e., a few classes occupy most of the data, while most classes have rarely few samples), which r…