World's Best Scientists 2026 revealed!

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Computer Science

D-Index
43
Citations
5437
World Ranking
8121
National Ranking
38

Overview

Dwarikanath Mahapatra is affiliated with the Inception Institute of Artificial Intelligence in the United Arab Emirates. Their research primarily spans the fields of Computer Science and Medicine, focusing on Artificial Intelligence and Radiology, Nuclear Medicine, and Imaging. The scientist's work also covers related subfields such as Computer Vision and Pattern Recognition, Pulmonary and Respiratory Medicine, and Epidemiology.

Their scholarly output includes numerous publications in well-recognized venues, reflecting contributions to a variety of specialized topics within medical imaging and AI-driven diagnosis. Frequent publication venues include:

  • arXiv (Cornell University)
  • IEEE Transactions on Medical Imaging
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Medical Image Analysis
  • IEEE Access

Mahapatra's research topics focus on technologically advanced medical applications, particularly in the detection and classification of diseases using AI. Key topics encompass:

  • COVID-19 diagnosis using AI
  • AI in cancer detection
  • Radiomics and Machine Learning in Medical Imaging
  • Domain Adaptation and Few-Shot Learning
  • Digital Imaging for Blood Diseases
  • Retinal Imaging and Analysis
  • Lung Cancer Diagnosis and Treatment

They have co-authored publications with several researchers, among whom frequent collaborators are:

  • Zongyuan Ge
  • Behzad Bozorgtabar
  • Mauricio Reyes
  • Jean-Philippe Thiran
  • Lie Ju

Recent notable papers authored by Mahapatra include the following:

  • "Interpretability-Driven Sample Selection Using Self Supervised Learning for Disease Classification and Segmentation" (2021), published in IEEE Transactions on Medical Imaging
  • "Improving Medical Images Classification With Label Noise Using Dual-Uncertainty Estimation" (2022), published in IEEE Transactions on Medical Imaging
  • "Multi-path dilated convolution network for haze and glow removal in nighttime images" (2021), published in The Visual Computer
  • "Synergic Adversarial Label Learning for Grading Retinal Diseases via Knowledge Distillation and Multi-Task Learning" (2021), published in IEEE Journal of Biomedical and Health Informatics
  • "Outlier-Based Autism Detection Using Longitudinal Structural MRI" (2022), published in IEEE Access

Mahapatra has contributed to book publications with Springer Science+Business Media, including:

  • "Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops" (2023)
  • "Resource-Efficient Medical Image Analysis" (2022)

Best Publications

  • Glaucoma detection using entropy sampling and ensemble learning for automatic optic cup and disc segmentation.

    Julian G. Zilly;Joachim M. Buhmann;Dwarikanath Mahapatra

  • Image super-resolution using progressive generative adversarial networks for medical image analysis.

    Dwarikanath Mahapatra;Behzad Bozorgtabar;Rahil Garnavi

  • Deformable medical image registration using generative adversarial networks

    Dwarikanath Mahapatra;Bhavna Antony;Suman Sedai;Rahil Garnavi

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

    Dwarikanath Mahapatra;Behzad Bozorgtabar;Jean-Philippe Thiran;Mauricio Reyes

  • Prostate MRI Segmentation Using Learned Semantic Knowledge and Graph Cuts

    Dwarikanath Mahapatra;Joachim M. Buhmann

  • Image Registration Based on Autocorrelation of Local Structure

    Zhang Li;Dwarikanath Mahapatra;Jeroen A. W. Tielbeek;Jaap Stoker

  • Improving Medical Images Classification With Label Noise Using Dual-Uncertainty Estimation

    Unknown

  • Automatic Detection and Segmentation of Crohn's Disease Tissues From Abdominal MRI

    Dwarikanath Mahapatra;Peter J. Schuffler;Jeroen A. W. Tielbeek;Jesica C. Makanyanga

  • Integrating Segmentation Information for Improved MRF-Based Elastic Image Registration

    D. Mahapatra;Ying Sun

  • Image Super Resolution Using Generative Adversarial Networks and Local Saliency Maps for Retinal Image Analysis

    Dwarikanath Mahapatra;Behzad Bozorgtabar;Sajini Hewavitharanage;Rahil Garnavi

  • Semi-supervised learning and graph cuts for consensus based medical image segmentation

    Dwarikanath Mahapatra

  • Boosting Convolutional Filters with Entropy Sampling for Optic Cup and Disc Image Segmentation from Fundus Images

    Julian G. Zilly;Joachim M. Buhmann;Dwarikanath Mahapatra

  • Skull Stripping of Neonatal Brain MRI: Using Prior Shape Information with Graph Cuts

    Dwarikanath Mahapatra

  • Cardiac image segmentation from cine cardiac MRI using graph cuts and shape priors.

    Dwarikanath Mahapatra

  • Motion saliency outweighs other low-level features while watching videos

    Dwarikanath Mahapatra;Stefan Winkler;Shih-Cheng Yen

  • Joint Registration And Segmentation Of Xray Images Using Generative Adversarial Networks

    Dwarikanath Mahapatra;Zongyuan Ge;Suman Sedai;Rajib Chakravorty

  • Combining multiple expert annotations using semi-supervised learning and graph cuts for medical image segmentation

    Dwarikanath Mahapatra

  • Retinal Image Quality Classification Using Saliency Maps and CNNs

    Dwarikanath Mahapatra;Pallab Kanti Roy;Suman Sedai;Rahil Garnavi

  • Training data independent image registration using generative adversarial networks and domain adaptation

    Dwarikanath Mahapatra;Zongyuan Ge

  • Semi-supervised Segmentation of Optic Cup in Retinal Fundus Images Using Variational Autoencoder

    Suman Sedai;Dwarikanath Mahapatra;Sajini Hewavitharanage;Stefan Maetschke

  • Analyzing Training Information From Random Forests for Improved Image Segmentation

    Dwarikanath Mahapatra

  • MoNuSAC2020: A Multi-organ Nuclei Segmentation and Classification Challenge

    Ruchika Verma;Neeraj Kumar;Abhijeet Patil;Nikhil Cherian Kurian

  • SALAD: Self-supervised Aggregation Learning for Anomaly Detection on X-Rays

    Behzad Bozorgtabar;Dwarikanath Mahapatra;Guillaume Vray;Jean-Philippe Thiran

Frequent Co-Authors

Jean-Philippe Thiran
Jean-Philippe Thiran École Polytechnique Fédérale de Lausanne
Tom Drummond
Tom Drummond Monash University
Mauricio Reyes
Mauricio Reyes University of Bern
K. R. Rao
K. R. Rao The University of Texas at Arlington
Huimin Lu
Huimin Lu Kyushu Institute of Technology
Tongliang Liu
Tongliang Liu University of Sydney
Vassilis Athitsos
Vassilis Athitsos The University of Texas at Arlington
Lucas J. van Vliet
Lucas J. van Vliet Delft University of Technology
Abhinav Dhall
Abhinav Dhall Monash University

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