Magnetic Resonance Imaging

Professor V. Rajinikanth works in the Department of Electronics and Instrumentation Engineering at St. Joseph’s College of Engineering in Chennai, Tamilnadu, India. Nilanjan Dey is an Associate Professor in the Department of Computer Science and Engineering, Techno International New Town, Kolkata, India. He is a visiting fellow of the University of Reading, UK. He also holds a position of Adjunct Professor at Ton Duc Thang University, Ho Chi Minh City, Vietnam. Previously, he held an honorary position of Visiting Scientist at Global Biomedical Technologies Inc., CA, USA (2012–2015). He was awarded his PhD from Jadavpur University in 2015. He is the Editor-in-Chief of the International Journal of Ambient Computing and Intelligence , IGI Global, USA. He is the Series Co-Editor of Springer Tracts in Nature-Inspired Computing (SpringerNature), Data-Intensive Research(SpringerNature), Advances in Ubiquitous Sensing Applications for Healthcare (Elsevier). He was an associate editor of IET Image Processing and editorial board member of Complex & Intelligent Systems, Springer Nature. He is an editorial board member of Applied Soft Computing, Elsevier. He is having 35 authored books and over 300 publications in the area of medical imaging, machine learning, computer aided diagnosis, data mining, etc. He is the Fellow of IETE and Senior member of IEEE.

1. Introduction to Image Assisted Disease Screening 2. Magnetic Resonance Imaging – Recording and Reconstruction 3. Image Processing Schemes to Enhance Disease Information in MRI Slices 4. Segmentation of Tumor in Breast MRI Using Entropy Thresholding and Mayfly-Algorithm: A Study 5. Abnormality Detection in Heart MRI with Spotted-Hyena-Algorithm Supported Kapur/Otsu Thresholding and Level-Set Segmentation 6. CNN based Segmentation of Brain Tumor from T2-Weighted MRI Slices 7. Automated Detection of Ischemic-Stroke with Brain MRI using Machine-Learning and Deep-Learning Features