Dwarikanath Mahapatra

research

∙ 07/24/2023

AMAE: Adaptation of Pre-Trained Masked Autoencoder for Dual-Distribution Anomaly Detection in Chest X-Rays

Unsupervised anomaly detection in medical images such as chest radiograp...

0 Behzad Bozorgtabar, et al. ∙

research

∙ 05/01/2023

TPMIL: Trainable Prototype Enhanced Multiple Instance Learning for Whole Slide Image Classification

Digital pathology based on whole slide images (WSIs) plays a key role in...

11 Litao Yang, et al. ∙

research

∙ 03/02/2023

Towards Trustable Skin Cancer Diagnosis via Rewriting Model's Decision

Deep neural networks have demonstrated promising performance on image re...

0 Siyuan Yan, et al. ∙

research

∙ 11/16/2022

Cyclic Generative Adversarial Networks With Congruent Image-Report Generation For Explainable Medical Image Analysis

We present a novel framework for explainable labeling and interpretation...

0 Dwarikanath Mahapatra, et al. ∙

research

∙ 10/13/2022

Probabilistic Integration of Object Level Annotations in Chest X-ray Classification

Medical image datasets and their annotations are not growing as fast as ...

0 Tom van Sonsbeek, et al. ∙

research

∙ 08/17/2022

Leukocyte Classification using Multimodal Architecture Enhanced by Knowledge Distillation

Recently, a lot of automated white blood cells (WBC) or leukocyte classi...

0 Litao Yang, et al. ∙

research

∙ 07/24/2022

Improved Super Resolution of MR Images Using CNNs and Vision Transformers

State of the art magnetic resonance (MR) image super-resolution methods ...

14 Dwarikanath Mahapatra, et al. ∙

research

∙ 06/27/2022

Unsupervised Domain Adaptation Using Feature Disentanglement And GCNs For Medical Image Classification

The success of deep learning has set new benchmarks for many medical ima...

0 Dwarikanath Mahapatra, et al. ∙

research

∙ 04/12/2022

LifeLonger: A Benchmark for Continual Disease Classification

Deep learning models have shown a great effectiveness in recognition of ...

1 Mohammad Mahdi Derakhshani, et al. ∙

research

∙ 04/04/2022

Generalized Zero Shot Learning For Medical Image Classification

In many real world medical image classification settings we do not have ...

0 Dwarikanath Mahapatra, et al. ∙

research

∙ 02/21/2022

Outlier-based Autism Detection using Longitudinal Structural MRI

Diagnosis of Autism Spectrum Disorder (ASD) using clinical evaluation (c...

21 Devika K, et al. ∙

research

∙ 01/27/2022

Anomaly Detection in Retinal Images using Multi-Scale Deep Feature Sparse Coding

Convolutional Neural Network models have successfully detected retinal i...

16 Sourya Dipta Das, et al. ∙

research

∙ 11/15/2021

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

Gleason grading from histopathology images is essential for accurate pro...

0 Dwarikanath Mahapatra, et al. ∙

research

∙ 10/01/2021

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

Segmentation of Prostate Cancer (PCa) tissues from Gleason graded histop...

6 Dwarikanath Mahapatra, et al. ∙

research

∙ 06/15/2021

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

While medical image segmentation is an important task for computer aided...

0 Dwarikanath Mahapatra, et al. ∙

research

∙ 04/28/2021

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

Clear cell renal cell carcinoma (ccRCC) is one of the most common forms ...

18 Shiba Kuanar, et al. ∙

research

∙ 04/22/2021

Relational Subsets Knowledge Distillation for Long-tailed Retinal Diseases Recognition

In the real world, medical datasets often exhibit a long-tailed data dis...

14 Lie Ju, et al. ∙

research

∙ 04/13/2021

Interpretability-Driven Sample Selection Using Self Supervised Learning For Disease Classification And Segmentation

In supervised learning for medical image analysis, sample selection meth...

5 Dwarikanath Mahapatra, et al. ∙

research

∙ 02/28/2021

Improving Medical Image Classification with Label Noise Using Dual-uncertainty Estimation

Deep neural networks are known to be data-driven and label noise can hav...

0 Lie Ju, et al. ∙

research

∙ 10/19/2020

Anomaly Detection on X-Rays Using Self-Supervised Aggregation Learning

Deep anomaly detection models using a supervised mode of learning usuall...

0 Behzad Bozorgtabar, et al. ∙

research

∙ 08/05/2020

Structure Preserving Stain Normalization of Histopathology Images Using Self-Supervised Semantic Guidance

Although generative adversarial network (GAN) based style transfer is st...

0 Dwarikanath Mahapatra, et al. ∙

research

∙ 07/04/2020

Registration of Histopathogy Images Using Structural Information From Fine Grained Feature Maps

Registration is an important part of many clinical workflows and factual...

0 Dwarikanath Mahapatra, et al. ∙

research

∙ 03/31/2020

Pathological Retinal Region Segmentation From OCT Images Using Geometric Relation Based Augmentation

Medical image segmentation is an important task for computer aided diagn...

0 Dwarikanath Mahapatra, et al. ∙

research

∙ 10/18/2019

Generative Adversarial Networks And Domain Adaptation For Training Data Independent Image Registration

Medical image registration is an important task in automated analysis of...

0 Dwarikanath Mahapatra, et al. ∙

research

∙ 10/11/2019

Adversarial Pulmonary Pathology Translation for Pairwise Chest X-ray Data Augmentation

Recent works show that Generative Adversarial Networks (GANs) can be suc...

0 Yunyan Xing, et al. ∙

research

∙ 09/23/2019

sZoom: A Framework for Automatic Zoom into High Resolution Surveillance Videos

Current cameras are capable of recording high resolution video. While vi...

12 Mukesh Saini, et al. ∙

research

∙ 07/06/2019

AMD Severity Prediction And Explainability Using Image Registration And Deep Embedded Clustering

We propose a method to predict severity of age related macular degenerat...

0 Dwarikanath Mahapatra, et al. ∙

research

∙ 04/24/2019

Informative sample generation using class aware generative adversarial networks for classification of chest Xrays

Training robust deep learning (DL) systems for disease detection from me...

0 Behzad Bozorgtabar, et al. ∙

research

∙ 03/25/2019

Combining Transfer Learning And Segmentation Information with GANs for Training Data Independent Image Registration

Registration is an important task in automated medical image analysis. A...

0 Dwarikanath Mahapatra, et al. ∙

research

∙ 02/06/2019

Progressive Generative Adversarial Networks for Medical Image Super resolution

Anatomical landmark segmentation and pathology localization are importan...

26 Dwarikanath Mahapatra, et al. ∙

research

∙ 02/03/2019

Night Time Haze and Glow Removal using Deep Dilated Convolutional Network

In this paper, we address the single image haze removal problem in a nig...

6 Shiba Kuanar, et al. ∙

research

∙ 09/12/2018

Joint Segmentation and Uncertainty Visualization of Retinal Layers in Optical Coherence Tomography Images using Bayesian Deep Learning

Optical coherence tomography (OCT) is commonly used to analyze retinal l...

0 Suman Sedai, et al. ∙

research

∙ 08/22/2018

Deep multiscale convolutional feature learning for weakly supervised localization of chest pathologies in X-ray images

Localization of chest pathologies in chest X-ray images is a challenging...

0 Suman Sedai, et al. ∙

research

∙ 07/19/2018

Chest X-rays Classification: A Multi-Label and Fine-Grained Problem

The widely used ChestX-ray14 dataset addresses an important medical imag...

0 ZongYuan Ge, et al. ∙

research

∙ 06/14/2018

Efficient Active Learning for Image Classification and Segmentation using a Sample Selection and Conditional Generative Adversarial Network

Training robust deep learning (DL) systems for medical image classificat...

0 Dwarikanath Mahapatra, et al. ∙

research

∙ 05/07/2018

Elastic Registration of Medical Images With GANs

Conventional approaches to image registration consist of time consuming ...

0 Dwarikanath Mahapatra, et al. ∙

research

∙ 10/13/2017

Retinal Vasculature Segmentation Using Local Saliency Maps and Generative Adversarial Networks For Image Super Resolution

We propose an image super resolution(ISR) method using generative advers...

0 Dwarikanath Mahapatra, et al. ∙

research

∙ 12/07/2016

Consensus Based Medical Image Segmentation Using Semi-Supervised Learning And Graph Cuts

Medical image segmentation requires consensus ground truth segmentations...

0 Dwarikanath Mahapatra, et al. ∙

Dwarikanath Mahapatra

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