Dr. JITENDRA VIRMANI

Sr. Technical Officer (3), Indo-Swiss Training Centre (ISTC)

Brief Profile
He received his BTech (Hons.) in Instrumentation Engineering from the Sant Longowal Institute of Engineering and Technology, Punjab in 1999 and MTech in Measurement and Instrumentation Engineering from the Indian Institute of Technology, Roorkee in 2006. He received his PhD on ‘Analysis and classification of B-mode liver ultrasound images’ from the Biomedical Signal and Image Processing Laboratory, Indian Institute of Technology – Roorkee in 2014. During his PhD, he worked on enhancing the potential of most commonly available B-mode ultrasound imaging modality for differential diagnosis between atypical cases of focal liver lesions. He served in academia in various reputed organizations like Jaypee University of Information Technology- Solan, H.P, India and Thapar University- Patiala, Punjab, India for 13 years before joining the CSIR-CSIO, Central Scientific Industrial Research-Central scientific instruments organisation, Chandigarh, India during August 2016. He is a 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.

Current Work Area

Qualification

  • PhD : Analysis & Classification of Liver Ultrasound Images from Indian Institute of Technology - Roorkee (2009-2014)
  • M.Tech: Measurement & Instrumentation Engineering from Indian Institute of Technology - Roorkee (2004-2006)
  • B.Tech: Instrumentation Engineering from Sant Longowal Institute of Engg & Technology- Longowal, Sangrur, Punjab (1996-1999)
  • Diploma: Instrumentation & Process Control Engineering from Sant Longowal Institute of Engg & Technology- Longowal, Sangrur, Punjab (1994-1996)

R&D Interest

Research Publications

1. YADAV NIRANJAN, DASS RAJESHWAR, VIRMANI JITENDRA. Deep learning-based CAD system design for thyroid tumor characterization using ultrasound images. Multimedia Tools and Applications. 16-10-2023, ,
2. RANI JYOTI, SINGH JASWINDER, VIRMANI JITENDRA. Hybrid computer aided diagnostic system designs for screen film mammograms using DL-based feature extraction and ML-based classifiers. Expert Systems. 03-05-2023, , e13309
3. YADAV NIRANJAN, DASS RAJESHWAR, VIRMANI JITENDRA. Despeckling filters applied to thyroid ultrasound images: a comparative analysis. Multimedia Tools and Applications. 09-02-2022, 81, 8905–8937
4. KRITI, VIRMANI JITENDRA, AGARWAL RAVINDER. A Characterization Approach for the Review of CAD Systems Designed for Breast Tumor Classification Using B-Mode Ultrasound Images. Archives of Computational Methods in Engineering. 08-07-2021, 29, 1485–1523
5. KRITI, VIRMANI JITENDRA, AGARWAL RAVINDER. A Review of Segmentation Algorithms Applied to B-Mode Breast Ultrasound Images: A Characterization Approach. Archives of Computational Methods in Engineering. 08-08-2020, ,
6. KRITI, VIRMANI JITENDRA, AGARWAL RAVINDER. Deep feature extraction and classification of breast ultrasound images. Multimedia Tools and Applications. 23-07-2020, 79(37), 27257-27292
7. KRITI, VIRMANI JITENDRA, AGARWAL RAVINDER. Effect of despeckle filtering on classification of breast tumors using ultrasound images. Biocybernetics and Biomedical Engineering. 01-04-2019, 39(2), 536-560
8. VIRMANI JITENDRA, AGARWAL RAVINDER, KRITI. Assessment of despeckle filtering algorithms for segmentation of breast tumours from ultrasound images. Biocybernetics and Biomedical Engineering. 01-01-2019, 39(1), 100-121
9. KUMAR INDRAJEET, BHADAURIA H S, VIRMANI JITENDRA. A computerised framework for prediction of fatty and dense breast tissue using principal component analysis and multi-resolution texture descriptors. International Journal of Computational Systems Engineering. 25-04-2018, 4(2-3), 73-85
10. RAWAT JYOTI, SINGH ANNAPURNA, BHADAURIA H S, VIRMANI JITENDRA, Devgun J. S.. Leukocyte Classification using Adaptive Neuro-Fuzzy Inference System in Microscopic Blood Images. Arabian Journal for Science and Engineering. 21-11-2017, , 1-18
11. KUMAR INDRAJEET, BHADAURIA H S, VIRMANI JITENDRA, THAKUR SHRUTI. A hybrid hierarchical framework for classification of breast density using digitized film screen mammograms. Multimedia Tools and Applications. 01-09-2017, 76(18), 18789–18813
12. RAWAT JYOTI, SINGH ANNAPURNA, BHADAURIA H S, VIRMANI JITENDRA, Devgun J. S.. Classification of acute lymphoblastic leukaemia using hybrid hierarchical classifiers. Multimedia Tools and Applications. 01-09-2017, 76(18), 19057–19085
13. RAWAT JYOTI, SINGH ANNAPURNA, BHADAURIA H S, VIRMANI JITENDRA, SINGH JAGTAR. Computer assisted classification framework for prediction of acute lymphoblastic and acute myeloblastic leukemia. Biocybernetics and Biomedical Engineering. 25-07-2017, 37(4), 637-654
14. BOIRAGI INDRAJEET, BHADAURIA H S, VIRMANI JITENDRA, THAKUR SHRUTI. A classification framework for prediction of breast density using an ensemble of neural network classifiers. Biocybernetics and Biomedical Engineering. 24-06-1894, 37(1), 217-228

Patents

Patent(s) Filed


Significant recognition: Awards, Honours and Fellowships

Other Information

Book Chapter:
  1. Kriti, Harleen Kaur, and Jitendra Virmani, ‘Evaluating the Efficacy of Multi‐resolution Texture Features for Prediction of Breast Density Using Mammographic Images’, in Hybrid Intelligence for Image Analysis and Understanding, 2017
  2. Indrajeet Kumar, Jitendra Virmani, Harvendra S.Bhadauria, Manoj K.Panda and Kriti, ‘Classification of Breast Density Patterns Using PNN, NFC, and SVM Classifiers’, in Soft Computing Based Medical Image Analysis, pp 223-243, (2018).
  3. Jitendra Virmani and Vinod Kumar “Texture-Based Computer-Aided Classification of Focal Liver Diseases using Ultrasound Images”, in Computer-Aided Diagnosis and Therapy: Medical Image Analysis and Applications, CRC Press, pp.303-323, 2018.
  4. Komal, Jitendra Virmani, Haralick's Texture Descriptors for Classification of Renal Ultrasound Images, Hybrid Intelligent Techniques for Pattern Analysis and Understanding, 2017, pp.279-309, Publisher: CRC Press.
  5. Kriti, Jitendra Virmani, Ravinder Aggarwal ‘Evaluating the Efficacy of Gabor Features in the Discrimination of Breast Density patterns Using Various Classifiers’, in Classification in BioApps: Automation in Decision Making, pp.105-131, 2017, Publisher: Springer.
  6. Nimisha Manth, Kriti and Jitendra Virmani, ‘Comparison of Multi-class and Hierarchical CAC Design for Benign and Malignant Hepatic Tumors’, In: N. Dey, A.S. Ashour, S.J. Fong, S. Borra (eds.) U-Healthcare Monitoring Systems: Design and Applications, Elsevier, pp. 119-146, 2019.
  7. Heminder Kaur, Jitendra Virmani, Kriti and Shruti Thakur, ‘A Genetic Algorithm Based Metaheuristic Approach to Customize a Computer Aided Classification System for Enhanced Screen Film Mammograms’, In: N. Dey, A.S. Ashour, S.J. Fong, S. Borra (eds.) U-Healthcare Monitoring Systems: Design and Applications, Elsevier, pp. 217-259, 2019.
  8. Shrestha Bansal, Gaurav Chhabra, B. Sarat Chandra, Kriti and Jitendra Virmani, ‘A Hybrid CAD System Design for Liver Diseases using Clinical and Radiological Data’, In: N. Dey, A.S. Ashour, S.J. Fong, S. Borra (eds.) U-Healthcare Monitoring Systems: Design and Applications, Elsevier, pp. 289-314, 2019.

Technology (Developed/Transfered/Commercialised) / Software Applications, Algorithms designed/developed/deployed and implemented

Contact



Email:

jitendravirmani[at]csio[dot]res[dot]in

Telephone:

01722672424


Color styles