Vinod Kumar

According to our database, Vinod Kumar authored at least 38 papers between 1997 and 2018.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2018

Intensity population based unsupervised hemorrhage segmentation from brain CT images.

Soumi Ray, Vinod Kumar, Chirag Kamal Ahuja, Niranjan Khandelwal

Expert Syst. Appl., 2018

Computer Aided Automatic Brain Segmentation from Computed Tomography Images using Multilevel Masking.

Soumi Ray, Vinod Kumar, Chirag Kamal Ahuja, Niranjan Khandelwal

CoRR, 2018

Detection of myocardial infarction in 12 lead ECG using support vector machine.

Ashok Kumar Dohare, Vinod Kumar, Ritesh Kumar

Appl. Soft Comput., 2018

2017

Liver Ultrasound Image Segmentation Using Region-Difference Filters.

Nishant Jain, Vinod Kumar

J. Digit. Imaging, 2017

Evaluation of cognitive behavior among deaf subjects with video game as intervention.

H. Nagendra, Vinod Kumar, Shaktidev Mukherjee

Cogn. Syst. Res., 2017

An Automated Hierarchical Framework for Player Recognition in Sports Image.

Abhay Atrish, Navjot Singh, Krishan Kumar, Vinod Kumar

Proceedings of the International Conference on Video and Image Processing, 2017

An advanced web-based digital image processing virtual lab using LabVIEW.

Abhay Atrish, Vinod Kumar

Proceedings of the 10th International Congress on Image and Signal Processing, 2017

2016

PCA-PNN and PCA-SVM Based CAD Systems for Breast Density Classification.

Kriti, Jitendra Virmani, Nilanjan Dey, Vinod Kumar

Proceedings of the Applications of Intelligent Optimization in Biology and Medicine, 2016

IFCM Based Segmentation Method for Liver Ultrasound Images.

Nishant Jain, Vinod Kumar

J. Medical Syst., 2016

Performance Evaluation of Color Models in the Fusion of Functional and Anatomical Images.

Padma Ganasala, Vinod Kumar, Achanta Durga Prasad

J. Medical Syst., 2016

Feature-Motivated Simplified Adaptive PCNN-Based Medical Image Fusion Algorithm in NSST Domain.

Padma Ganasala, Vinod Kumar

J. Digit. Imaging, 2016

A package-SFERCB-"Segmentation, feature extraction, reduction and classification analysis by both SVM and ANN for brain tumors".

Jainy Sachdeva, Vinod Kumar, Indra Gupta, Niranjan Khandelwal, Chirag Kamal Ahuja

Appl. Soft Comput., 2016

2015

SVM-Based CAC System for B-Mode Kidney Ultrasound Images.

M. B. Subramanya, Vinod Kumar, Shaktidev Mukherjee, Manju Saini

J. Digit. Imaging, 2015

Cognitive Behavior Evaluation Based on Physiological Parameters among Young Healthy Subjects with Yoga as Intervention.

H. Nagendra, Vinod Kumar, Shaktidev Mukherjee

Comput. Math. Methods Medicine, 2015

Nonsubsampled shearlet based CT and MR medical image fusion using biologically inspired spiking neural network.

Sneha Singh, Deep Gupta, R. S. Anand, Vinod Kumar

Biomed. Signal Process. Control., 2015

2014

Neural Network Ensemble Based CAD System for Focal Liver Lesions from B-Mode Ultrasound.

Jitendra Virmani, Vinod Kumar, Naveen Kalra, Niranjan Khandelwal

J. Digit. Imaging, 2014

CT and MR Image Fusion Scheme in Nonsubsampled Contourlet Transform Domain.

Padma Ganasala, Vinod Kumar

J. Digit. Imaging, 2014

An ANN-based HRV classifier for cardiac health prognosis.

Ramesh Kumar Sunkaria, Vinod Kumar, Suresh Chandra Saxena, Achala M. Singhal

Int. J. Electron. Heal., 2014

An efficient new method for the detection of QRS in electrocardiogram.

Ashok Kumar Dohare, Vinod Kumar, Ritesh Kumar

Comput. Electr. Eng., 2014

2013

Characterization of Primary and Secondary Malignant Liver Lesions from B-Mode Ultrasound.

Jitendra Virmani, Vinod Kumar, Naveen Kalra, Niranjan Khandelwal

J. Digit. Imaging, 2013

SVM-Based Characterization of Liver Ultrasound Images Using Wavelet Packet Texture Descriptors.

Jitendra Virmani, Vinod Kumar, Naveen Kalra, Niranjan Khandelwal

J. Digit. Imaging, 2013

Segmentation, Feature Extraction, and Multiclass Brain Tumor Classification.

Jainy Sachdeva, Vinod Kumar, Indra Gupta, Niranjan Khandelwal, Chirag Kamal Ahuja

J. Digit. Imaging, 2013

SVM-based characterisation of liver cirrhosis by singular value decomposition of GLCM matrix.

Jitendra Virmani, Vinod Kumar, Naveen Kalra, Niranjan Khandelwal

Int. J. Artif. Intell. Soft Comput., 2013

2012

Sample entropy-based HRV characterisation.

Ramesh Kumar Sunkaria, Vinod Kumar, Suresh Chandra Saxena

Int. J. Medical Eng. Informatics, 2012

2011

Virtual Lab: Real-time Acquisition and Analysis of ECG Signal.

Anil Kumar, Jagannath Malik, Vinod Kumar

Int. J. Online Eng., 2011

Neural network based focal liver lesion diagnosis using ultrasound images.

Deepti Mittal, Vinod Kumar, Suresh Chandra Saxena, Niranjan Khandelwal, Naveen Kalra

Comput. Medical Imaging Graph., 2011

Prediction of Cirrhosis Based on Singular Value Decomposition of Gray Level Co-occurence Marix and aNneural Network Classifier.

Jitendra Virmani, Vinod Kumar, Naveen Kalra, Niranjan Khandelwal

Proceedings of the 2011 Developments in E-systems Engineering, 2011

Multiclass Brain Tumor Classification Using GA-SVM.

Jainy Sachdeva, Vinod Kumar, Indra Gupta, Niranjan Khandelwal, Chirag Kamal Ahuja

Proceedings of the 2011 Developments in E-systems Engineering, 2011

2010

Enhancement of the ultrasound images by modified anisotropic diffusion method.

Deepti Mittal, Vinod Kumar, Suresh Chandra Saxena, Niranjan Khandelwal, Naveen Kalra

Medical Biol. Eng. Comput., 2010

Pose invariant virtual classifiers from single training image using novel hybrid-eigenfaces.

Abhishek Sharma, Anamika Dubey, Pushkar Tripathi, Vinod Kumar

Neurocomputing, 2010

A comparative study on spectral parameters of HRV in yogic and non-yogic practitioners.

Ramesh Kumar Sunkaria, Vinod Kumar, Suresh Chandra Saxena

Int. J. Medical Eng. Informatics, 2010

Optimal Lomb transform variant in HRV assessment.

Barjinder Singh Saini, Dilbag Singh, Vinod Kumar

Int. J. Medical Eng. Informatics, 2010

2007

Reduction of blocking artifacts in JPEG compressed images.

Sukhwinder Singh, Vinod Kumar, H. K. Verma

Digit. Signal Process., 2007

Adaptive threshold-based block classification in medical image compression for teleradiology.

Sukhwinder Singh, Vinod Kumar, H. K. Verma

Comput. Biol. Medicine, 2007

1998

Signal-analysis and a heuro-logistic interpretation of multi-lead electrocardiograms.

Ranjan Maheshwari, G. Vijaya, Vinod Kumar, H. K. Verma

Int. J. Syst. Sci., 1998

1997

Artificial neural network based wave complex detection in electrocardiograms.

G. Vijaya, Vinod Kumar, H. K. Verma

Int. J. Syst. Sci., 1997

Ecg Data Compression Using Fast Walsh Transform and its Clinical Acceptability.

P. K. Kulkarni, Vinod Kumar, H. K. Verma

Int. J. Syst. Sci., 1997

Direct Data Compression Techniques for Ecg Signals: Effect of Sampling Frequency on Performance.

P. K. Kulkarni, Vinod Kumar, H. K. Verma

Int. J. Syst. Sci., 1997