Non-invasive measurement and subsequent analysis of human carotid pulse for ground based simulation of G-stress. - Sharda Vashisth; Munna Khan; Ritu Vijay; Ashok Kumar Salhan (Int. J. Bioinform. Res. Appl., 2016)

Brain Tumor Detection and Classification with Feed Forward Back-Prop Neural Network. - Neha Rani; Sharda Vashisth (CoRR, 2017)

A review of high G-stress induced problems and their solutions. - Sharda Vashisth; Munna Khan; Ritu Vijay; Ashok Kumar Salhan (Int. J. Medical Eng. Informatics, 2017)

Histogram of Oriented Gradients Based Reduced Feature for Traffic Sign Recognition. - Deepika 003; Sharda Vashisth; Sumeet Saurav (ICACCI, 2018)

A convolution neural network with multi-level convolutional and attention learning for classification of cancer grades and tissue structures in colon histopathological images. - Manju Dabass; Sharda Vashisth; Rekha Vig (Comput. Biol. Medicine, 2022)

MTU: A multi-tasking U-net with hybrid convolutional learning and attention modules for cancer classification and gland Segmentation in Colon Histopathological Images. - Manju Dabass; Sharda Vashisth; Rekha Vig (Comput. Biol. Medicine, 2022)

Computational fluid dynamics analysis of carotid artery with different plaque shapes. - Raman Yadav; Sharda Vashisth; Ranjit Varma (Int. J. Medical Eng. Informatics, 2022)

Classification of brain tumor from magnetic resonance images using probabilistic features and possibilistic Hanman-Shannon transform classifier. - Pallavi Asthana; Madasu Hanmandlu; Sharda Vashisth (Int. J. Imaging Syst. Technol., 2022)

Brain tumor detection and patient survival prediction using U-Net and regression model. - Pallavi Asthana; Madasu Hanmandlu; Sharda Vashisth (Int. J. Imaging Syst. Technol., 2022)

The proposition of Possibilistic sigmoid features and the Shannon-Hanman transform classifier along with the pervasive learning model for the classification of brain tumor using MRI. - Pallavi Asthana; Madasu Hanmandlu; Sharda Vashisth (Multim. Tools Appl., 2022)