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Dr Swetha M D

vidwan id: 347302
Female

Associate Professor, Computer Science and Engineering
B N M Institute of Technology, Bangalore

Expertise

  • Computer Science Artificial Intelligence

Publications

Total Articles 6
Books 0
Proceedings 0

Publications

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Scopus

Citations 14
h-index 2

CrossRef

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Citations 11
h-index 2
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ISTE

2015
LIFETIME MEMBER

Bio

Artificial Intelligence & Machine Learning

Personal Details

  • Female
  • Associate Professor , B N M Institute of Technology, Bangalore
  • BNM INSTITUTE OF TECHNOLOGY, 12th Main Road, 27th Cross, Banashankari Stage II, Banashankari, Bengaluru, Karnataka, India
Ph.D
Other Institute 2023
Associate Professor Jun 2023 – Present
B N M Institute of Technology, Bangalore | Computer Science and Engineering

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Co-Authors (7)

Aditya

Dr Aditya C R

Vidyavardhaka College of Engineering

Gopalakrishna

Dr Gopalakrishna M T

S J B Institute of Technology, Bangalore

Malini

Dr Malini M Patil

R V Institute of Technology and Management

S.

Dr S. Vijay

University of Mysore

Roopa

Dr Roopa M J

S J B Institute of Technology, Bangalore

Swetha

Dr Swetha M S

BMS Institute of Technology and Management

Chaitra

Dr Chaitra M

B N M Institute of Technology, Bangalore

Scholarly Work

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Automated Diagnosis of Multiple Sclerosis Lesions in Normal Appearing White Matter from Brain MRI on Routine MRI Sequence.

DSCE
Engineering and Technology Patent No. : 202141004383 Filed : 16-11-2020
Published : 09-01-2021 Published

Scholarly Publications

Text Detection and Recognition from the Scene Images Using RCNN and EasyOCR

Open Access
Conference Paper
Authors: Chaitra Y.L.;Roopa M.J.;Gopalakrishna M.T.;Swetha M.D.;Aditya C.R.

Tampering Detection and Segmentation Model for Multimedia Forensic

Open Access
Article

Noise Invariant Convolution Neural Network for Segmentation of Multiple Sclerosis Lesions from Brain Magnetic Resonance Imaging

Open Access
Article

Sparse Feature Aware Noise Removal Technique for Brain Multiple Sclerosis Lesions using Magnetic Resonance Imaging

Open Access
Article

Effective early stage detection of COVID-19 using deep learning

Open Access
Conference Paper

A review on effectiveness of artificial intelligence techniques in the detection of COVID-19

Open Access
Conference Paper