Követés
Dr. Anandh Kilpattu Ramaniharan, Ph.D.
Dr. Anandh Kilpattu Ramaniharan, Ph.D.
Cincinnati Children's Hospital Medical Center, United States
Nincs ellenőrzött e-mail-cím
Cím
Hivatkozott rá
Hivatkozott rá
Év
Laplace-Beltrami eigen value based classification of normal and Alzheimer MR images using parametric and non-parametric classifiers
CMSSR K. R. Anandh
Expert Systems with applications 59, 208-216, 2016
612016
Glioma Grading Using a Machine-Learning Framework Based on Optimized Features Obtained From T1 Perfusion MRI and Volumes of Tumor Components.
SA Sengupta A, Ramaniharan AK, Gupta RK, Agarwal S
J Magn Reson Imaging, 2019
542019
A method to differentiate mild cognitive impairment and Alzheimer in MR images using Eigen value descriptors
KR Anandh, CM Sujatha, S Ramakrishnan
Journal of medical systems 40, 1-8, 2016
312016
Total variation based edge enhancement for level set segmentation and asymmetry analysis in breast thermograms
S Prabha, KR Anandh, CM Sujatha, S Ramakrishnan
2014 36th Annual International Conference of the IEEE Engineering in …, 2014
232014
Evaluating Feasibility of High Resolution T1-Perfusion MRI with Whole Brain Coverage using Compressed SENSE: Application to Glioma Grading
AS Dinil Sasi S, Anandh K R, Rupsa Bhattacharjee, Rakesh K. Gupta, Indrajit ...
European Journal of Radiology, 2020
17*2020
Atrophy analysis of corpus callosum in Alzheimer brain MR images using anisotropic diffusion filtering and level sets
KR Anandh, CM Sujatha, S Ramakrishnan
2014 36th Annual International Conference of the IEEE Engineering in …, 2014
142014
Analysis of Alzheimer Condition in T1-Weighted MR Images using Texture Features and SVM Classifier
KRA Telagarapu Prabhakar,Annapantula Sudhakar
International Journal of Psychosocial Rehabilitation 24 (4), 2653-2659, 2020
12*2020
Study on the effect of extreme learning machine and its variants in differentiating Alzheimer conditions from selective regions of brain MR images
S Shaji, JFA Ronickom, AK Ramaniharan, R Swaminathan
Expert Systems with Applications 209, 118250, 2022
112022
Analysis of anatomical regions in Alzheimer's brain MR images using level sets and Minkowski functionals
M Kayalvizhi, KR Anandh, G Kavitha, CM Sujatha, S Ramakrishnan
Journal of Mechanics in Medicine and Biology 15 (02), 1540024, 2015
112015
An approach to differentiate Alzheimer's conditions using MR image–based Zernike moments and fractal features
R Dadsena, R Palanisamy, AK Ramaniharan, R Swaminathan
IEIE Transactions on Smart Processing & Computing 7 (3), 175-183, 2018
92018
Segmentation and analysis of corpus callosum in Alzheimer MR images using total variation based diffusion filter and level set method.
KR Anandh, CM Sujatha, S Ramakrishnan
Biomedical sciences instrumentation 51, 355-361, 2015
92015
Loss of hippocampal dentation in hippocampal sclerosis and its relationship to memory dysfunction
A Kilpattu Ramaniharan, M Zhang, G Selladurai, R Martin, L Ver Hoef
Epilepsia, 1-11, 2022
82022
Analysis of ventricles in Alzheimer MR images using coherence enhancing diffusion filter and level set method
KR Anandh, CM Sujatha, S Ramakrishnan
2014 International Conference on Informatics, Electronics & Vision (ICIEV), 1-4, 2014
72014
Extraction of Radiomic Features from Breast DCE-MRI Responds to Pathological Changes in Patients During Neoadjuvant Chemotherapy Treatment
PD Moyya, M Asaithambi, AK Ramaniharan
2019 IEEE International Conference on Imaging Systems and Techniques (IST), 2020
62020
Segmentation of ventricles in Alzheimer mr images using anisotropic diffusion filtering and level set method.
KR Anandh, CM Sujatha, S Ramakrishnan
Biomedical sciences instrumentation 50, 307-313, 2014
62014
Hippocampal Dentation in Children and Adolescents: A Cross-Sectional Analysis from Birth to 18 Years Old
JF Beattie, R Martin, E Cook III, M Thompson, R Kana, R Jacobs, T Correy, ...
Anatomia 1, 41-53, 2022
52022
Automated diagnosis of autism spectrum disorder condition using shape based features extracted from brainstem
V Jain, A Selvaraj, R Mittal, P Rani, A Kilpattu Ramaniharan, ...
Challenges of Trustable AI and Added-Value on Health, 53-57, 2022
42022
Classification of Alzheimer’s condition in T1-weighted MR images using GLCM and GLRLM texture features
T Prabhakar, KR Anandh, A Sudhakar
Proceedings of International Conference on Wireless Communication: ICWiCOM …, 2020
42020
Evaluation of Gall Bladder Stones Using Susceptibility Weighted Imaging
RKMD Gupta, JPD Neelavalli, MPD Gupta, AKPD Ramaniharan, ...
Journal of Computer Assisted Tomography, 2019
42019
Anisotropic diffusion filter based edge enhancement for the segmentation of carotid intima-media layer in ultrasound images using variational level set method without re …
K Sumathi, KR Anandh, V Mahesh, S Ramakrishnan
2014 36th Annual International Conference of the IEEE Engineering in …, 2014
42014
A rendszer jelenleg nem tudja elvégezni a műveletet. Próbálkozzon újra később.
Cikkek 1–20