R. Vig

发表

Palmprint Identification Using Kronecker Product of DCT and Walsh Transforms for Multi-Spectral Images

H. B. Kekre, Tanuja Sarode, Rekha Vig, 2011, 2011 International Conference on Hand-Based Biometrics.

An asymmetric hybrid watermarking mechanism using hyperchaotic system and random decomposition in 2D Non-separable linear canonical domain

Phool Singh, R. Vig, Pankaj Rakheja, 2019, Proceedings of the Indian National Science Academy.

Five-grade cancer classification of colon histology images via deep learning

Sharda Vashisth, R. Vig, Manju Dabass, 2019, Communication and Computing Systems.

A convolution neural network with multi-level convolutional and attention learning for classification of cancer grades and tissue structures in colon histopathological images

Sharda Vashisth, R. Vig, Manju Dabass, 2022, Comput. Biol. Medicine.

MTU: A multi-tasking U-net with hybrid convolutional learning and attention modules for cancer classification and gland Segmentation in Colon Histopathological Images

Sharda Vashisth, R. Vig, Manju Dabass, 2022, Comput. Biol. Medicine.

Review of Classification Techniques Using Deep Learning for Colorectal Cancer Imaging Modalities

Rekha Vig, Sharda Vashisth, Manju Dabass, 2019, 2019 6th International Conference on Signal Processing and Integrated Networks (SPIN).

Review of Histopathological Image Segmentation via current Deep Learning Approaches

Rekha Vig, Sharda Vashisth, Manju Dabass, 2018, 2018 4th International Conference on Computing Communication and Automation (ICCCA).

Formulation of probability-based pervasive information set features and Hanman transform classifier for the categorization of mammograms

Madasu Hanmandlu, Rekha Vig, Jyoti Dabass, 2021, SN Applied Sciences.

Machine Learning Models for Depression Patient Classification Using fMRI: A Study

Rekha Vig, Sanskriti Gupta, R. Vig, 2019, ICCSA.

Attention-Guided deep atrous-residual U-Net architecture for automated gland segmentation in colon histopathology images

Sharda Vashisth, R. Vig, Manju Dabass, 2021, Informatics in Medicine Unlocked.

A hybrid U-Net model with attention and advanced convolutional learning modules for simultaneous gland segmentation and cancer grade prediction in colorectal histopathological images

Sharda Vashisth, R. Vig, Manju Dabass, 2023, Intelligence-Based Medicine.

Mammogram Image Enhancement Using Entropy and CLAHE Based Intuitionistic Fuzzy Method

Madasu Hanmandlu, Rekha Vig, Shaveta Arora, 2019, 2019 6th International Conference on Signal Processing and Integrated Networks (SPIN).

An efficient text-independent speaker verification for short utterance data from Mobile devices

Sanghamitra V. Arora, R. Vig, 2019, Multimedia tools and applications.

An asymmetric image encryption mechanism using QR decomposition in hybrid multi-resolution wavelet domain

Phool Singh, Pankaj Rakheja, Rekha Vig, 2020 .

Comparison of Speech Intelligibility Parameter in Cochlear Implants by Spatial Filtering and Coherence Function Methods

Rekha Vig, Sanghamitra V. Arora, R. Vig, 2016, 2016 International Conference on Micro-Electronics and Telecommunication Engineering (ICMETE).

Optical asymmetric watermarking using 4D hyperchaotic system and modified equal modulus decomposition in hybrid multi resolution wavelet domain

Pankaj Rakheja, Rekha Vig, Phool Singh, 2019, Optik.

An effectual method for extraction of ROI of palmprints

H. B. Kekre, T. Sarode, R. Vig, 2012, 2012 International Conference on Communication, Information & Computing Technology (ICCICT).

Multi-class classification of mammograms with hesitancy based Hanman transform classifier on pervasive information set texture features

Madasu Hanmandlu, Rekha Vig, Jyoti Dabass, 2021, Informatics in Medicine Unlocked.

Segmentation Techniques for Breast Cancer Imaging Modalities-A Review

Madasu Hanmandlu, Rekha Vig, Shaveta Arora, 2019, 2019 9th International Conference on Cloud Computing, Data Science & Engineering (Confluence).

Face recognition using multiresolution wavelet combining discrete cosine transform and Walsh transform

Rekha Vig, Alpa Choudhary, R. Vig, 2017, ICBEA '17.

Classification of digital mammograms using information set features and Hanman Transform based classifiers

Madasu Hanmandlu, Rekha Vig, Jyoti Dabass, 2020 .

Segmentation of Tumor Region in MRI Images of Brain using Mathematical Morphology

Rekha Vig, Vaishali Kulkarni, Ashwini Gade, 2014 .

Detection and Correction of Head Motion and Physiological Artifacts in BOLD fMRI: A Study

Rekha Vig, Sanskriti Gupta, R. Vig, 2019, 2019 9th International Conference on Cloud Computing, Data Science & Engineering (Confluence).

Identification of multi-spectral palmprints using energy compaction by Hybrid wavelet

H. B. Kekre, Rekha Vig, H. B. Kekre, 2012, 2012 5th IAPR International Conference on Biometrics (ICB).

A Fault-Tolerant Approach for Detection of Singular Points in Noisy Fingerprint Images

Zia U H. Saquib, Sweta Suhasaria, R. Vig, 2011 .

Applications of Advanced Fuzzy Set in Medical Image Analysis: A Review

Madasu Hanmandlu, Rekha Vig, Shaveta Arora, 2018, 2018 4th International Conference on Computing Communication and Automation (ICCCA).