Vikas Kumar Anand

Employment

• GE Aerospace Sr. Data Scientist
  2024 - Present
• GE Healthcare Sr. Data Scientist
  2021 - 2024
• InuAid Pvt Sol Ltd Technical Lead
  2020 - 2021
• Central Mechanical Engineering Research Institute CSIR Project Fellow
  2014 - 2015

Education

• Indian Institute of Technology Madras Ph.D
  2015 - Present
• National Institute of Technology Rourkela M.Tech, Biomedical Engg
  2012 - 2014
• Rajiv Gandhi Proudyogiki Vishwavidyalaya B.E
  2007 - 2011

Projects & Funding

Projects & funding information is unavailable.

Publications (11)

• Towards fair decentralized benchmarking of healthcare AI algorithms with the Federated Tumor Segmentation (FeTS) challenge
  Maximilian Zenk, Ujjwal Baid, Sarthak Pati +97 more
  Nature Communications 2025 DOI: 10.1038/s41467-025-60466-1
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• Radiomics analysis for distinctive identification of COVID-19 pulmonary nodules from other benign and malignant counterparts
  Minmini Selvam, Anupama Chandrasekharan, Abjasree Sadanandan

  +4 more

  • Vikas Kumar Anand
  • Sidharth Ramesh
  • Arunan Murali
  • Ganapathy Krishnamurthi
  Scientific Reports 2024 DOI: 10.1038/s41598-024-57899-x
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• Radiomics as a non-invasive adjunct to Chest CT in distinguishing benign and malignant lung nodules
  Minmini Selvam, Anupama Chandrasekharan, Abjasree Sadanandan

  +3 more

  • Vikas Kumar Anand
  • Arunan Murali
  • Ganapathy Krishnamurthi
  Scientific Reports 2023 DOI: 10.1038/s41598-023-46391-7
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• A Study on Criteria for Training Collaborator Selection in Federated Learning
  Vishruth Shambhat, Akansh Maurya, Shubham Subhas Danannavar

  +3 more

  • Rohit Kalla
  • Vikas Kumar Anand
  • Ganapathy Krishnamurthi
  Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics 2022 DOI: 10.1007/978-3-031-09002-8_41
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• Brain Tumor Segmentation and Survival Prediction using Automatic Hard mining in 3D CNN Architecture
  2021
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• Brain Tumor Segmentation and Survival Prediction Using Automatic Hard Mining in 3D CNN Architecture
  Vikas Kumar Anand, Sanjeev Grampurohit, Pranav Aurangabadkar

  +4 more

  • Avinash Kori
  • Mahendra Khened
  • Raghavendra S. Bhat
  • Ganapathy Krishnamurthi
  Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics 2021 DOI: 10.1007/978-3-030-72087-2_27
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• Brain tumor segmentation and survival prediction using automatic hard mining in 3D CNN architecture
  Arxiv 2021 DOI: 10.48550/arxiv.2101.01546
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• InuAid Chest X-rays AI Product: Respiratory diseases detection using Artificial Intelligence to significantly improve productivity and quality of diagnosis
  Prem Kumar S. R., Vikas Kumar Anand, Sanjib Senapati

  +1 more

  • Arunan Murali
  ACM International Conference Proceeding Series 2021 DOI: 10.1145/3486001.3486242
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• Structurally aware bidirectional unpaired image to image translation between CT and MR
  Vismay Agrawal, Avinash Kori, Vikas Kumar Anand

  +1 more

  • Ganapathy Krishnamurthi
  Arxiv 2020 DOI: 10.48550/arxiv.2006.03374
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• 3D convolution neural networks for molecular subtype prediction in glioblastoma multiforme
  Gagan Acharya, Nameeta Shah, Ganapathy Krishnamurthi

  +2 more

  • Mahendra Khened
  • Vikas Kumar Anand
  Progress in Biomedical Optics and Imaging Proceedings of SPIE 2019 DOI: 10.1117/12.2512417
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• Fully automatic segmentation for ischemic stroke using CT perfusion maps
  Vikas Kumar Anand, Mahendra Khened, Varghese Alex

  +1 more

  • Ganapathy Krishnamurthi
  Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics 2019 DOI: 10.1007/978-3-030-11723-8_33
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