H. S. Sheshadri

发表

Integration of segmentation techniques to detect cyst in human brain using MRI sequences

H. S. Sheshadri, M. J. Akshath, 2015, 2015 International Conference on Emerging Research in Electronics, Computer Science and Technology (ICERECT).

Probabilistic Identification and Estimation of Noise: Application to MR Images

H. S. Sheshadri, C. Anjanappa, 2018 .

Diagnosis of Alzheimer's Disease Employing Neuropsychological and Classification Techniques

H. S. Sheshadri, Murali Krishna, S. R. Bhagya Shree, 2015, 2015 5th International Conference on IT Convergence and Security (ICITCS).

COMP-BIT-LIST SIZE IMPROVEMENT IN MESPOTINE RLE AND ITS APPLICATIONS

H. S. Sheshadri, V. Lokesha, Shiva Putra, 2016 .

A Case Study on Multi-instance Finger Knuckle Print Score and Decision Level Fusions

H. S. Sheshadri, Mohammad Imran, Harbi AlMahafzah, 2012 .

Design of embedded system for tracking and locating the patient suffering from Alzheimer's disease

H. S. Sheshadri, S. R. Bhagya Shree, R. Shivakumar, 2014, 2014 IEEE International Conference on Computational Intelligence and Computing Research.

Visual Cryptography in Internet Voting System

H. S. Sheshadri, A. B. Rajendra, 2013, Third International Conference on Innovative Computing Technology (INTECH 2013).

An approach to preprocess data in the diagnosis of Alzheimer's disease

H. S. Sheshadri, S. R. Bhagya Shree, 2014, Proceedings of 2014 International Conference on Cloud Computing and Internet of Things.

Experimental investigation on breast tissue classification based on statistical feature extraction of mammograms

A. Kandaswamy, H. S. Sheshadri, A. Kandaswamy, 2007, Comput. Medical Imaging Graph..

Diagnosis of Alzheimer's disease using Naive Bayesian Classifier

H. S. Sheshadri, S. R. Bhagya Shree, S. R. Bhagya Shree, 2016, Neural Computing and Applications.

Survey On Impulse Noise Removal Techniques In Digital Images

H. S. Sheshadri, C. Anjanappa, H. Sheshadri, 2013 .

An initial investigation in the diagnosis of Alzheimer's disease using various classification techniques

H. S. Sheshadri, S. R. Bhagya Shree, 2014, 2014 IEEE International Conference on Computational Intelligence and Computing Research.

Classification and detection of diabetic retinopathy using K-means algorithm

H. S. Sheshadri, S. B. ManojKumar, 2016, 2016 International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT).

Multibiometric: Feature Level Fusion Using FKP Multi-Instance biometric pdf

H. S. Sheshadri, Mohammad Imran, Harbi AlMahafzah, 2012, ArXiv.

Development of mathematical morphology filter for medical image impulse noise removal

H. S. Sheshadri, C. Anjanappa, Anjanappa C, 2015, 2015 International Conference on Emerging Research in Electronics, Computer Science and Technology (ICERECT).

Scale-invariant object identification for jointly addressing issues in moving oject and background

H. S. Sheshadri, D. Pushpa, 2015, 2015 International Conference on Emerging Research in Electronics, Computer Science and Technology (ICERECT).

A Naïve Visual Cryptographic Algorithm for the Transfer of a Compressed Medical Images

H. S. Sheshadri, H. S. Sheshadri, V. Lokesha, 2015, Int. J. Recent Contributions Eng. Sci. IT.

Multi-algorithm Feature Level Fusion Using Finger Knuckle Print Biometric

H. S. Sheshadri, Mohammad Imran, Harbi AlMahafzah, 2012, FGIT-FGCN/DCA.

Multi-algorithm Feature Level Fusion Using Finger Knuckle Print Biometric

Mohammad Imran, H. S. Sheshadri, Harbi AlMahafzah, 2014 .

Detection of Retinal Disease Screening Using Local Binary Patterns

H. S. Sheshadri, S. B. Manojkumar, U. Shama Firdose, 2019 .

A Review on the Method of Diagnosing Alzheimer’s Disease using Data Mining

H. S. Sheshadri, Sandhya Joshi, R BhagyaShreeS, 2014 .

Application of Watershed Algorithms to Mammogram Image Analysis

A. Kandaswamy, H. S. Sheshadri, 2006 .

Diagnosis of Alzheimer's Disease using Rule based Approach

H. S. Sheshadri, S. R. Bhagya Shree, Muralikrishna, 2016 .

Building Accurate Classifier for the Classification of Microcalcification

H. S. Sheshadri, Arun Kumar, 2012 .

Performance analysis of Neural Network based classification technique for Mammogram Images

H. S. Sheshadri, M. Prasad, A. Manjunatha, 2016 .

Application Of Contour Models For The Detection Of Cancer Tumors In Breast Tissue

H. S. Sheshadri, A. Kandaswamy, 2004 .

Abnormality Detection in Digital Mammogram

H. S. Sheshadri, S. N. Murthy, Arun Kumar, 2013 .

Computer Aided Detection of Clustered Microcalcification: A Survey.

H. S. Sheshadri, H. S. Sheshadri, M. N. Arun Kumar, 2019, Current medical imaging reviews.

On the Classification of Imbalanced Datasets

H. S. Sheshadri, Kok Wai Wong, C. Lee Giles, 2012 .

Computer aided decision system for early detection of breast cancer.

H. S. Sheshadri, H S Sheshadri, A Kandaswamy, 2006, The Indian journal of medical research.

Methods towards the Classification of Clustered Microcalcification

H. S. Sheshadri, H. S. Sheshadri, S. Narasimhamurthy, 2012 .

Compact Optimal Representation of Cortical Gyrus-Sulcus profile and subsequent Analysis for Epilepsy Severity and Forewarning

H. S. Sheshadri, VinayKumar H S, 2022, 2022 IEEE 2nd Mysore Sub Section International Conference (MysuruCon).

Detection of breast cancer by mammogram image segmentation.

H. S. Sheshadri, H S Sheshadri, A Kandaswamy, 2005, Journal of cancer research and therapeutics.

Breast Tissue Classification Using Statistical Feature Extraction Of Mammograms

A. Kandaswamy, H. S. Sheshadri, Holalu Seenappa Sheshadri, 2006 .