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ORCIDVinod Kumar 0002
Person information
- affiliation: NIMS University, Jaipur, India
- affiliation: JAYPEE University of Information Technology, Waknaghat, India
- affiliation: Indian Institute of Technology Roorkee, Department of Electrical Engineering, Biomedical Engineering Lab, Roorkee, India
Other persons with the same name
- Vinod Kumar — disambiguation page
- Vinod Kumar 0001 — Carleton University, Sprott School of Business, Ottawa, Canada
- Vinod Kumar 0003
![[0000-0002-2939-1100]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-2939-1100")
— University of Delhi, PGDAV College, Department of Mathematics, New Delhi, India (and 2 more) - Vinod Kumar 0004 (aka: Vinod Kumar Magadi Gopalaiah) — Radboud University Medical Center, Department of Internal Medicine and Radboud Center for Infectious Diseases, Nijmegen, The Netherlands (and 1 more)
- Vinod Kumar 0005 — Jindal University, Computer Science & Engineering Department, Raigarh, India (and 1 more)
- Vinod Kumar 0006 — Koneru Lakshmaiah Education Foundation, Department of Computer Science and Engineering, Guntur, India (and 1 more)
- Vinod Kumar 0007 — Indian Institute of Technology (BHU), Department of Computer Science and Engineering, Varanasi, India
- Vinod Kumar 0008 — Max Planck Institute for Biological Cybernetics, Tübingen, Germany
- Vinod Kumar 0009 — Government Degree College Ramban, Inida
- Vinod Kumar 0010 — Shri Mata Vaishno Devi University, School of Computer Science Engineering, Katra, India
- Vinod Kumar 0011 — Symbiosis Institute of Business Management, Pune, India (and 1 more)
- Vinod Kumar 0012 — Birla Institute of Technology and Science, Pilani, India
- Vinod Kumar 0013 — University of Allahabad, Department of Electronics and Communication, Allahabad, India
- Vinod Kumar 0014 — CSIR-Institute of Microbial Technology, Bioinformatics Center, Chandigarh, India (and 1 more)
- Vinod Kumar 0015 — University of Texas at El Paso, Department of Mechanical Engineering, El Paso, TX, USA
- Vinod Kumar 0016 — NXP semiconductors, Noida, India
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2010 – 2019
- 2018
[j32]Ashok Kumar Dohare, Vinod Kumar, Ritesh Kumar:
Detection of myocardial infarction in 12 lead ECG using support vector machine. Appl. Soft Comput. 64: 138-147 (2018)- [j31]Soumi Ray, Vinod Kumar, Chirag Kamal Ahuja, Niranjan Khandelwal:
Intensity population based unsupervised hemorrhage segmentation from brain CT images. Expert Syst. Appl. 97: 325-335 (2018) - [i1]Soumi Ray, Vinod Kumar, Chirag Kamal Ahuja, Niranjan Khandelwal:
Computer Aided Automatic Brain Segmentation from Computed Tomography Images using Multilevel Masking. CoRR abs/1809.06215 (2018) - 2017
- [j30]H. Nagendra, Vinod Kumar, Shaktidev Mukherjee:
Evaluation of cognitive behavior among deaf subjects with video game as intervention. Cogn. Syst. Res. 42: 42-57 (2017) - [j29]Nishant Jain, Vinod Kumar:
Liver Ultrasound Image Segmentation Using Region-Difference Filters. J. Digit. Imaging 30(3): 376-390 (2017) - [c4]Abhay Atrish, Vinod Kumar:
An advanced web-based digital image processing virtual lab using LabVIEW. CISP-BMEI 2017: 1-6 - [c3]Abhay Atrish, Navjot Singh, Krishan Kumar, Vinod Kumar:
An Automated Hierarchical Framework for Player Recognition in Sports Image. ICVIP 2017: 103-108 - 2016
- [j28]Jainy Sachdeva, Vinod Kumar, Indra Gupta, Niranjan Khandelwal, Chirag Kamal Ahuja:
A package-SFERCB-"Segmentation, feature extraction, reduction and classification analysis by both SVM and ANN for brain tumors". Appl. Soft Comput. 47: 151-167 (2016) - [j27]Padma Ganasala, Vinod Kumar:
Feature-Motivated Simplified Adaptive PCNN-Based Medical Image Fusion Algorithm in NSST Domain. J. Digit. Imaging 29(1): 73-85 (2016) - [j26]Padma Ganasala, Vinod Kumar, Achanta Durga Prasad:
Performance Evaluation of Color Models in the Fusion of Functional and Anatomical Images. J. Medical Syst. 40(5): 122:1-122:9 (2016) - [j25]Nishant Jain, Vinod Kumar:
IFCM Based Segmentation Method for Liver Ultrasound Images. J. Medical Syst. 40(11): 249:1-249:12 (2016) - [p1]Kriti, Jitendra Virmani, Nilanjan Dey, Vinod Kumar:
PCA-PNN and PCA-SVM Based CAD Systems for Breast Density Classification. Applications of Intelligent Optimization in Biology and Medicine 2016: 159-180 - 2015
- [j24]Sneha Singh, Deep Gupta, R. S. Anand, Vinod Kumar:
Nonsubsampled shearlet based CT and MR medical image fusion using biologically inspired spiking neural network. Biomed. Signal Process. Control. 18: 91-101 (2015) - [j23]H. Nagendra, Vinod Kumar, Shaktidev Mukherjee:
Cognitive Behavior Evaluation Based on Physiological Parameters among Young Healthy Subjects with Yoga as Intervention. Comput. Math. Methods Medicine 2015: 821061:1-821061:13 (2015) - [j22]M. B. Subramanya, Vinod Kumar, Shaktidev Mukherjee, Manju Saini:
SVM-Based CAC System for B-Mode Kidney Ultrasound Images. J. Digit. Imaging 28(4): 448-458 (2015) - 2014
- [j21]Ashok Kumar Dohare, Vinod Kumar, Ritesh Kumar:
An efficient new method for the detection of QRS in electrocardiogram. Comput. Electr. Eng. 40(5): 1717-1730 (2014) - [j20]Ramesh Kumar Sunkaria, Vinod Kumar, Suresh Chandra Saxena, Achala M. Singhal:
An ANN-based HRV classifier for cardiac health prognosis. Int. J. Electron. Heal. 7(4): 315-330 (2014) - [j19]Padma Ganasala, Vinod Kumar:
CT and MR Image Fusion Scheme in Nonsubsampled Contourlet Transform Domain. J. Digit. Imaging 27(3): 407-418 (2014) - [j18]Jitendra Virmani, Vinod Kumar, Naveen Kalra, Niranjan Khandelwal:
Neural Network Ensemble Based CAD System for Focal Liver Lesions from B-Mode Ultrasound. J. Digit. Imaging 27(4): 520-537 (2014) - 2013
- [j17]Jitendra Virmani, Vinod Kumar, Naveen Kalra, Niranjan Khandelwal:
SVM-based characterisation of liver cirrhosis by singular value decomposition of GLCM matrix. Int. J. Artif. Intell. Soft Comput. 3(3): 276-296 (2013) - [j16]Jitendra Virmani, Vinod Kumar, Naveen Kalra, Niranjan Khandelwal:
SVM-Based Characterization of Liver Ultrasound Images Using Wavelet Packet Texture Descriptors. J. Digit. Imaging 26(3): 530-543 (2013) - [j15]Jitendra Virmani, Vinod Kumar, Naveen Kalra, Niranjan Khandelwal:
Characterization of Primary and Secondary Malignant Liver Lesions from B-Mode Ultrasound. J. Digit. Imaging 26(6): 1058-1070 (2013) - [j14]Jainy Sachdeva, Vinod Kumar, Indra Gupta, Niranjan Khandelwal, Chirag Kamal Ahuja:
Segmentation, Feature Extraction, and Multiclass Brain Tumor Classification. J. Digit. Imaging 26(6): 1141-1150 (2013) - 2012
- [j13]Ramesh Kumar Sunkaria, Vinod Kumar, Suresh Chandra Saxena:
Sample entropy-based HRV characterisation. Int. J. Medical Eng. Informatics 4(4): 398-405 (2012) - 2011
- [j12]Deepti Mittal, Vinod Kumar, Suresh Chandra Saxena, Niranjan Khandelwal, Naveen Kalra:
Neural network based focal liver lesion diagnosis using ultrasound images. Comput. Medical Imaging Graph. 35(4): 315-323 (2011) - [j11]Anil Kumar, Jagannath Malik, Vinod Kumar:
Virtual Lab: Real-time Acquisition and Analysis of ECG Signal. Int. J. Online Eng. 7(3): 19-23 (2011) - [c2]Jitendra Virmani, Vinod Kumar, Naveen Kalra, Niranjan Khandelwal:
Prediction of Cirrhosis Based on Singular Value Decomposition of Gray Level Co-occurence Marix and aNneural Network Classifier. DeSE 2011: 146-151 - [c1]Jainy Sachdeva, Vinod Kumar, Indra Gupta, Niranjan Khandelwal, Chirag Kamal Ahuja:
Multiclass Brain Tumor Classification Using GA-SVM. DeSE 2011: 182-187 - 2010
- [j10]Ramesh Kumar Sunkaria, Vinod Kumar, Suresh Chandra Saxena:
A comparative study on spectral parameters of HRV in yogic and non-yogic practitioners. Int. J. Medical Eng. Informatics 2(1): 1-14 (2010) - [j9]Barjinder Singh Saini, Dilbag Singh, Vinod Kumar:
Optimal Lomb transform variant in HRV assessment. Int. J. Medical Eng. Informatics 2(2): 177-194 (2010) - [j8]Abhishek Sharma, Anamika Dubey, Pushkar Tripathi, Vinod Kumar:
Pose invariant virtual classifiers from single training image using novel hybrid-eigenfaces. Neurocomputing 73(10-12): 1868-1880 (2010) - [j7]Deepti Mittal, Vinod Kumar, Suresh Chandra Saxena, Niranjan Khandelwal, Naveen Kalra:
Enhancement of the ultrasound images by modified anisotropic diffusion method. Medical Biol. Eng. Comput. 48(12): 1281-1291 (2010)
2000 – 2009
- 2007
- [j6]Sukhwinder Singh, Vinod Kumar, H. K. Verma:
Adaptive threshold-based block classification in medical image compression for teleradiology. Comput. Biol. Medicine 37(6): 811-819 (2007) - [j5]Sukhwinder Singh, Vinod Kumar, H. K. Verma:
Reduction of blocking artifacts in JPEG compressed images. Digit. Signal Process. 17(1): 225-243 (2007)
1990 – 1999
- 1998
- [j4]Ranjan Maheshwari, G. Vijaya, Vinod Kumar, H. K. Verma:
Signal-analysis and a heuro-logistic interpretation of multi-lead electrocardiograms. Int. J. Syst. Sci. 29(3): 323-334 (1998) - 1997
- [j3]G. Vijaya, Vinod Kumar, H. K. Verma:
Artificial neural network based wave complex detection in electrocardiograms. Int. J. Syst. Sci. 28(2): 125-132 (1997) - [j2]P. K. Kulkarni, Vinod Kumar, H. K. Verma:
Direct Data Compression Techniques for Ecg Signals: Effect of Sampling Frequency on Performance. Int. J. Syst. Sci. 28(3): 217-228 (1997) - [j1]P. K. Kulkarni, Vinod Kumar, H. K. Verma:
Ecg Data Compression Using Fast Walsh Transform and its Clinical Acceptability. Int. J. Syst. Sci. 28(8): 831-836 (1997)
Coauthor Index
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