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Dr Bhima K

vidwan id: 170498
Male

Professor, Department of Information Technology
Padmasri Dr. B.V Raju Institute of Technology

Expertise

  • Agronomy

Publications

Total Articles 21
Books 0
Proceedings 0

Publications

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Scopus

Citations 43
h-index 2

CrossRef

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Citations 5
h-index 2
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Professional Recognition

2019

BEST FACULTY AWARD-2019

Indian Servers in association with Telangana IT Association and Information Technology Companies Ass

Community & Membership

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Bio

Image Processing,AI/ML and Cyber Security

Personal Details

  • Male
  • Professor , Padmasri Dr. B.V Raju Institute of Technology
Ph.D
Other Institute 2020
M.Tech
Other Institute 2006
B.Tech
R.V.R. & J.C. College of Engineering 2004
Professor May 2011 – Present
Padmasri Dr. B.V Raju Institute of Technology | Department of Information Technology

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Co-Authors (4)

Amgoth

Dr Amgoth Jagan

Padmasri Dr. B.V Raju Institute of Technology

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Dr Madugundu Neelakantappa

Padmasri Dr. B.V Raju Institute of Technology

Scholarly Work

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Scholarly Publications

An OTP Framework for effective tumor segmentation and analysis in brain MRI images

Open Access
Conference Paper
Authors: Bhima K.;Neelakantappa M.;Ramaiah K.D.;Jagan A.

An Efficient and Automatic Framework for Segmentation and Analysis of Tumor Structure in Brain MRI Images

Open Access
Conference Paper
Authors: Bhima K.;Neelakantappa M.;Dasaradh Ramaiah K.;Jagan A.

Contemporary Technique for Detection of Brain Tumor in Fluid-Attenuated Inversion Recovery Magnetic Resonance Imaging (MRI) Images

Open Access
Conference Paper
Authors: Bhima K.;Neelakantappa M.;Dasaradh Ramaiah K.;Jagan A.

Development of Robust Framework for Automatic Segmentation of Brain MRI Images

Open Access
Conference Paper

Robust and Accurate Automated Methods for Detection and Segmentation of Brain Tumor in MRI

Open Access
article

An efficient method for identification of anomalies in brain MR images

Open Access
Conference Paper

Novel techniques for detection of anomalies in brain MR images

Open Access
Conference Paper

An efficient method for identification of anomalies in brain MR images

Open Access
Conference Paper