Jitendra Virmani

About

Jitendra Virmani received B.Tech (Hons.) in Instrumentation Engineering from Sant Longowal Institute of Engineering and Technology, Punjab in 1999 and M.Tech in Electrical Engineering with specialization in Measurement and Instrumentation from Indian Institute of Technology, Roorkee in 2006 and PhD in Analysis and Classification of B-Mode Liver Ultrasound Images from Biomedical Instrumentation Laboratory, Electrical Engineering Department, Indian Institute of Technology, Roorkee in 2014. He has served as a part of academic fraternity of Institute of Engineering and Technology- Bhaddal (Ropar) , Rayat and Bahra College of Engineering and Biotechnology for Women, Kharar (Mohali) , Jaypee University of Information Technology- Solan, (Himachal Pardesh) , Thapar Institute of Engineering and Technology (TIET) - Patiala before Joining CSIR-CSIO , Chandigarh in Aug 2016 to till date. In all he has fourteen years of experience in Academia till date. He is Life member of Institute of Engineers (IEI), India. His research interests include application of machine learning and soft computing techniques for analysis of medical images.

Employment

• CSIR-CSIO ACADMECIAN AND RESEARCHER

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (50)

• Assessment of despeckle filtering algorithms for segmentation of breast tumours from ultrasound images
  Biocybernetics and Biomedical Engineering 2019 DOI: 10.1016/j.bbe.2018.10.002
  +Save
• Classification of breast tissue density patterns using SVM-based hierarchical classifier
  Advances in Intelligent Systems and Computing 2019 DOI: 10.1007/978-981-10-8848-3_18
  +Save
• Optimization of ROI Size for Development of Computer Assisted Framework for Breast Tissue Pattern Characterization Using Digitized Screen Film Mammograms
  2019 DOI: 10.1016/b978-0-12-816086-2.00006-0
  +Save
• A DEFS Based System for Differential Diagnosis Between Severe Fatty Liver and Cirrhotic Liver Using Ultrasound Images
  2019 DOI: 10.1016/b978-0-12-816086-2.00003-5
  +Save
• Characterization of breast tumors using selected laws' mask texture features
  2017 4th International Conference on Image Information Processing, ICIIP 2017 2018 DOI: 10.1109/ICIIP.2017.8313743
  +Save
• Classification of Breast Density Patterns Using PNN, NFC, and SVM Classifiers
  2018 DOI: 10.1016/b978-0-12-813087-2.00012-9
  +Save
• Classification of breast density patterns using PNN, NFC, and SVM classifiers
  Soft Computing Based Medical Image Analysis 2018 DOI: 10.1016/B978-0-12-813087-2.00012-9
  +Save
• Detection of chronic kidney disease: A NN-GA-based approach
  Advances in Intelligent Systems and Computing 2018 DOI: 10.1007/978-981-10-6747-1_13
  +Save
• Evaluating the efficacy of gabor features in the discrimination of breast density patterns using various classifiers
  Lecture Notes in Computational Vision and Biomechanics 2018 DOI: 10.1007/978-3-319-65981-7_5
  +Save
• Leukocyte Classification using Adaptive Neuro-Fuzzy Inference System in Microscopic Blood Images
  Arabian Journal for Science and Engineering 2018 DOI: 10.1007/s13369-017-2959-3
  +Save