47 citations · 169 across the 30 of their papers we have counts for
6 papers · 2 filters
Cyclic Generative Adversarial Networks With Congruent Image-Report Generation For Explainable Medical Image Analysis
Dwarikanath Mahapatra
We present a novel framework for explainable labeling and interpretation of medical images. Medical images require specialized professionals for interpretation, and are explained (…
Leukocyte Classification using Multimodal Architecture Enhanced by Knowledge Distillation
Litao Yang, Deval Mehta, Dwarikanath Mahapatra +1
Recently, a lot of automated white blood cells (WBC) or leukocyte classification techniques have been developed. However, all of these methods only utilize a single modality micros…
Improved Super Resolution of MR Images Using CNNs and Vision Transformers
Dwarikanath Mahapatra
State of the art magnetic resonance (MR) image super-resolution methods (ISR) using convolutional neural networks (CNNs) leverage limited contextual information due to the limited…
Unsupervised Domain Adaptation Using Feature Disentanglement And GCNs For Medical Image Classification
Dwarikanath Mahapatra
The success of deep learning has set new benchmarks for many medical image analysis tasks. However, deep models often fail to generalize in the presence of distribution shifts betw…
Interpretable Saliency Maps And Self-Supervised Learning For Generalized Zero Shot Medical Image Classification
Dwarikanath Mahapatra
In many real world medical image classification settings we do not have access to samples of all possible disease classes, while a robust system is expected to give high performanc…
Outlier-based Autism Detection using Longitudinal Structural MRI
Devika K, Venkata Ramana Murthy Oruganti, Dwarikanath Mahapatra +1
Diagnosis of Autism Spectrum Disorder (ASD) using clinical evaluation (cognitive tests) is challenging due to wide variations amongst individuals. Since no effective treatment exis…