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Vimal Chandran
Vimal Chandran
GE Heathcare
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Removal of ocular artifacts in the EEG through wavelet transform without using an EOG reference channel
PS Kumar, R Arumuganathan, K Sivakumar, C Vimal
Int. J. Open Problems Compt. Math 1 (3), 188-200, 2008
1822008
A wavelet based statistical method for de-noising of ocular artifacts in EEG signals
PS Kumar, R Arumuganathan, K Sivakumar, C Vimal
IJCSNS International Journal of Computer Science and Network Security 8 (9 …, 2008
602008
Magnetic resonance fingerprinting reconstruction via spatiotemporal convolutional neural networks
F Balsiger, A Shridhar Konar, S Chikop, V Chandran, O Scheidegger, ...
Machine Learning for Medical Image Reconstruction: First International …, 2018
562018
ECG arrhythmia classification based on logistic model tree
V Mahesh, A Kandaswamy, C Vimal, B Sathish
Journal of Biomedical Science and Engineering 2 (6), 405-411, 2009
542009
An adaptive method to remove ocular artifacts from EEG signals using wavelet transform
PS Kumar, R Arumuganathan, K Sivakumar, C Vimal
J. Appl. Sci. Res 5 (7), 711-745, 2009
472009
Removal of artifacts from EEG signals using adaptive filter through wavelet transform
PS Kumar, R Arumuganathan, K Sivakumar, C Vimal
2008 9th International Conference on Signal Processing, 2138-2141, 2008
392008
Highly accurate facial nerve segmentation refinement from CBCT/CT imaging using a super-resolution classification approach
P Lu, L Barazzetti, V Chandran, K Gavaghan, S Weber, N Gerber, ...
IEEE transactions on biomedical engineering 65 (1), 178-188, 2017
322017
Supervised learning for bone shape and cortical thickness estimation from CT images for finite element analysis
V Chandran, G Maquer, T Gerig, P Zysset, M Reyes
Medical image analysis 52, 42-55, 2019
282019
Random Forest Classifier Based ECG Arrhythmia Classification
V Mahesh, A Kandaswamy, C Vimal, B Sathish
Advancing Technologies and Intelligence in Healthcare and Clinical …, 2012
23*2012
Statistical analysis of the inter-individual variations of the bone shape, volume fraction and fabric and their correlations in the proximal femur
E Taghizadeh, V Chandran, M Reyes, P Zysset, P Büchler
Bone 103, 252-261, 2017
212017
Facial Nerve Image Enhancement from CBCT using Supervised Learning Technique
P Lu, L Barazzetti, V Chandran, K Gavaghan, S Weber, N Gerber, ...
37th Annual International Conference of the IEEE Engineering in Medicine and …, 2015
182015
Palmprint authentication using modified legendre moments
CL Deepika, A Kandaswamy, C Vimal, B Satish
Procedia Computer Science 2, 164-172, 2010
172010
Invariant feature extraction from fingerprint biometric using pseudo Zernike moments
CL Deepika, A Kandaswamy, C Vimal, B Sathish
152011
Protection of patient identity and privacy using vascular biometrics
CL Deepika, A Kandaswamy, C Vimal
International Journal of Security (IJS) 4 (5), 64, 2010
102010
Cardiac disease classification using heart rate signals
V Mahesh, A Kandaswamy, C Vimal, B Sathish
International Journal of Electronic Healthcare 5 (3), 211-230, 2010
102010
A novel registration-based methodology for prediction of trabecular bone fabric from clinical QCT: A comprehensive analysis
V Chandran, M Reyes, P Zysset
PloS one 12 (11), e0187874, 2017
92017
Wavelet based ocular artifact removal from EEG signals using ARMA method and adaptive filtering
PS Kumar, R Arumuganathan, C Vimal
2009 IEEE International Conference on Intelligent Computing and Intelligent …, 2009
92009
Prediction of trabecular bone anisotropy from quantitative computed tomography using supervised learning and a novel morphometric feature descriptor
V Chandran, P Zysset, M Reyes
Medical Image Computing and Computer-Assisted Intervention--MICCAI 2015 …, 2015
82015
Super-Resolution Classification Improves Facial Nerve Segmentation from CBCT Imaging.
P Lu, L Barazzetti, V Chandran, KA Gavaghan, S Weber, N Gerber, ...
CURAC, 143-144, 2016
12016
Application of Random Forest Regression for Fast and Robust MRF Dictionary Matching
SA Chikop, V Chandran, I Shaik, M Reyes, S Geethanath
Annual Meeting of International Society for Magnetic Resonance in Medicine, 2017
2017
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학술자료 1–20