Research Interests: Medical Image Processing, Computer Vision, Deep Learning, Artificial Intelligence

Selected Publications:

Journal

• Dheepa and PL.Chithra, “Fully Convolutional Densenet based Brain Tumor Segmentation through Input Cascaded CNN” in Journal of Education: Rabindrabharati University, ISSN. 0972-7175, Vol. XXIII, No. 6(II), 2021, Pages 170-176. (UGC CARE Indexed)
• Dheepa and PL.Chithra, “A Fully-Automated Detection of Brain Tumor in MRI Images using Input Cascaded CNN” in International Journal of Mathematics and Computer Science,Vol-15, No. 4, ISSN 1814-0432, 2020, Pages 1193–1197 (WEB OF SCIENCE Indexed)
• Chithra and G.Dheepa, “Di-Phase Midway Convolution and Deconvolution Network for Brain Tumor Segmentation in MRI Images” in International Journal of Imaging Systems and Technology, 2020, No. 30, Pages. 674–686. (SCI Indexed)
• Chithra and G.Dheepa, “An Efficient Cascaded CNN Architecture for Brain Tumor Detection in MRI Images” in International Journal of Innovative Technology and Exploring Engineering (IJITEE), ISSN. 2278–3075, Vol-9, Issue-3, January 2020, Pages 1663-1668. (SCOPUS Indexed)
• Chithra and G.Dheepa, “An Analysis of Segmenting and Classifying Tumor Regions in MRI Images using CNN” in International Journal of Pure and Applied Mathematics, ISSN. 1314-3395, Vol.118, No.24, 2018, Pages 1-12. (SCOPUS Indexed)
• Dheepa and V. Vijayakaveri, “Management and Analytic of Social Network Application with Mobile based Memory Database and Dynamic Querying” in ARPN Journal of Engineering and Applied Sciences, ISSN 1819-6608, Vol. 10, No. 16, September 2015, Pages 6719-6724. (SCOPUS Indexed)
• Dheepa and PL.Chithra, “An Efficient Encoder-Decoder CNN for Brain Tumor Segmentation in MRI Images”, IETE Journal of Research, ISSN: 0377 2063 (SCI Indexed) – In Production
• Dheepa and PL.Chithra, “Brain Tumor Detection in MRI Images using Input Cascaded CNN with Wavelet Features” in Advances and Applications in Mathematical Sciences, ISSN: 0974-6803.(WEB OF SCIENCE Indexed) – Accepted

Book Chapter

·      G.Dheepa and PL.Chithra, “An Interactive TUDIG Application for Tumor Detection in MRI Brain Images using Cascaded CNN with LBP Features”, Enterprice Digital Transformation, 1st Edition, Taylor and Francis Group, ISBN No. 9781003119784, 2022. (SCOPUS)

Patent

Title: Parallel Encoder and Decoder Network for Brain Tumor Segmentation – Patent Filed and Published in the patent office journal number 25/2021 dated 18/06/2021, Pg. No: 27426, Application No.202141025238 A.

Papers Presented:

• Presented a paper titled “Brain Tumor Segmentation using Fully Convolutional Densenet through Input Cascaded CNN based Detection Algorithm”, International Conference on Recent Advances in Computing and Communication (ICRACC’21) on 28^th May 2021 at Shri Shankarlal Sundarbai Shasun Jain College for Women, Chennai, Tamilnadu, India.
• Published conference paper titled “Ensemble Method of Multi-Layer Perceptron for Seizure Detection”, Proceedings of the 6^th Biennial International Group Theory Conference – 2021 (6BIGTC-2021) on 4^th – 6^th March 2021 at Vellore Institute of Technology, Vellore, Tamilnadu, India.
• Published conference paper titled “An Efficient Prediction of Epileptical Seizure using Multi Layer Perceptron”, Proceedings of the Second International Conference on Instrumentation, MEMS and Bio-sensing Technology (Virtual) (ICIMBT 2021) on 18^th – 20^th Febraury 2021 at SRM Institute of Science and Technology, Kattankulathur, Chennai, Tamilnadu, India.  
• Presented a pater titled “Ensemble Method of Patch Mean Assisted-Deep Learning and Image Processing Technique for Epileptical Seizure Detection”, International Conference on Sustainable Innovation on Science and Technology (ICSIST-21) on 26^th to 27^th Febraury 2021 at G H Raisoni University, Saikheda, Madhya Pradesh, India.
• Presented a paper titled “Internal Fused CNN for Brain Tumor Detection in MRI Images”, International Conference on Technology and Advancement in Computing Applications (ICTACA – 2020) on March 2020 at C. Abdul Hakeem College of Engineering and Technology, Melvisharam, Vellore District, Tamilnadu, India.
• Presented a paper titled “Brain Tumor Detection in MRI Images using Input Cascaded CNN”, International Conference on Mathematical Computer Engineering (ICMCE – 2020) on 21^st and 22^nd February 2020 at Vellore Institute of Technology, Chennai, Tamilnadu, India.  
• Presented a paper titled “An Efficient Maxi-Wink filter for Denoising in 3- Dimensional MRI Brain Images”, International Conference on Recent Trends in Image Processing and Pattern Recognition (RTIP2R, 2020) on 3rd and 4th January 2020 at Dr. Babasaheb Ambedkar Marathwada University, Aurangabad – 431 004, Maharashtra, India.
• Presented a paper titled “Brain Tumor Detection in MRI Images using Cascaded CNN Architecture”, International Conference on Computational Sciences (ICCS 2019) on 23^rd and 24^th October 2019 at Alagappa University, Karaikudi-630003, Tamilnadu, India.  
• Presented a paper titled “Elucidation of Brain Tumor Segmentation in MRI Images Using Deep Learning”, International Conference (ICACT’ 2018) on Feb 2^nd and 3^rd at 2018 – at Stella Maris College, Chennai, Tamilnadu, India. 
•   Presented a paper titled “Skin Cancer Classification using Convolutional Neural Network with DWT Features”, First International Conference on Advances in Data Science Challenges with Big Data Analysis on 16.02.2022 and 17.02.2022 organized by SRM Institute of Science and Technology.

Working Papers:

• Dheepa and PL.Chithra, “An Efficient Maxi-Wink filter for Denoising in 3-Dimensional MRI Brain Images, Communications in Computer and Information Science (CCIS), Springer Nature, ISSN: 1865-0929. (SCOPUS)
• Dheepa and PL.Chithra, “SPFC NET: Spatial Pyramid Feature Convolution Network for Brain Tumor Segmentation in MRI Images”, Multimedia Tools and Applications (SCI)
• Dheepa and PL.Chithra, “ Energy Efficient Brain Tumor Detection and Segmentation using Cascaded CNN and Di-Phase Network”, International Journal of Imaging Systems and Technology (WOS)

Work in Progress:

Interactive web application for tumor detection and segmentation

Working with current challenges in Brain Tumor Segmentation (BRATS 2022)

Assistant Professor          Nov 2021 – 2^nd July 2022              

Department of Computer Applications,

Alpha Arts and Science College,

Porur, Chennai – 600116.

Assistant Professor          June 2009 – Jan 2014                

Department of Computer Applications,

Arignar Anna Institute of Management Studies and Computer Applications,

Sriperumbatore, Chennai – 602117.

Other Professional Experience:

Achievements:

• Developed “Alumni Web portal” for Department of Computer Science, University of Madras, Chennai-25, Tamilnadu, India.
• Developed “Online Library Management System” for Department of Computer Science, University of Madras, Chennai-25, Tamilnadu, India.  
• Invited Lecture on “Two weeks Workshop on Analytical tools for Image Processing” Organized by Department of Computer Science, University of Madras, Chennai-25 on 16.02.2022

Workshops /Seminars/Conferences:

• Number of attended Faculty Development Programme – 4
• Number of attended National and International Workshops – 9
• Number of attended Seminars – 3
• Number of attended National and International Webinars – 15

Achievements and Awards:

·      Received top cited article award for published research paper titled “Di-Phase Midway Convolution and Deconvolution Network for Brain Tumor Segmentation in MRI Images” by International Journal of Imaging Systems and Technology, Wiley Publication in the year 2021-2022.