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
  Nature Communications 2025 DOI: 10.1038/s41467-025-60466-1
  +Save
• Radiomics analysis for distinctive identification of COVID-19 pulmonary nodules from other benign and malignant counterparts
  Scientific Reports 2024 DOI: 10.1038/s41598-024-57899-x
  +Save
• Radiomics as a non-invasive adjunct to Chest CT in distinguishing benign and malignant lung nodules
  Scientific Reports 2023 DOI: 10.1038/s41598-023-46391-7
  +Save
• A Study on Criteria for Training Collaborator Selection in Federated Learning
  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
  +Save
• Brain Tumor Segmentation and Survival Prediction using Automatic Hard mining in 3D CNN Architecture
  2021
  +Save
• Brain Tumor Segmentation and Survival Prediction Using Automatic Hard Mining in 3D CNN Architecture
  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
  +Save
• Brain tumor segmentation and survival prediction using automatic hard mining in 3D CNN architecture
  Arxiv 2021 DOI: 10.48550/arxiv.2101.01546
  +Save
• InuAid Chest X-rays AI Product: Respiratory diseases detection using Artificial Intelligence to significantly improve productivity and quality of diagnosis
  ACM International Conference Proceeding Series 2021 DOI: 10.1145/3486001.3486242
  +Save
• Structurally aware bidirectional unpaired image to image translation between CT and MR
  Arxiv 2020 DOI: 10.48550/arxiv.2006.03374
  +Save
• 3D convolution neural networks for molecular subtype prediction in glioblastoma multiforme
  Progress in Biomedical Optics and Imaging Proceedings of SPIE 2019 DOI: 10.1117/12.2512417
  +Save