Vikas Kumar Anand
Indian Institute of Technology Madras(IN)
Publications by Year
Research Areas
Radiomics and Machine Learning in Medical Imaging, Brain Tumor Detection and Classification, Advanced Neural Network Applications, Lung Cancer Diagnosis and Treatment, Advanced Image Processing Techniques
Most-Cited Works
- → NTIRE 2019 Challenge on Image Enhancement: Methods and Results(2019)45 cited
- → Radiomics as a non-invasive adjunct to Chest CT in distinguishing benign and malignant lung nodules(2023)23 cited
- → Fully Automatic Segmentation for Ischemic Stroke Using CT Perfusion Maps(2019)10 cited
- → Towards fair decentralized benchmarking of healthcare AI algorithms with the Federated Tumor Segmentation (FeTS) challenge(2025)5 cited
- → Radiomics analysis for distinctive identification of COVID-19 pulmonary nodules from other benign and malignant counterparts(2024)5 cited
- → 3D convolution neural networks for molecular subtype prediction in glioblastoma multiforme(2019)5 cited
- → Brain Tumor Segmentation and Survival Prediction Using Automatic Hard Mining in 3D CNN Architecture(2021)5 cited
- → Convolutional Neural Network for Kidney and kidney Tumor segmentation(2019)3 cited
- → Structurally aware bidirectional unpaired image to image translation between CT and MR(2020)2 cited
- → A Study on Criteria for Training Collaborator Selection in Federated Learning(2022)1 cited