Speed Up Technique for Fractal Image Compression. - Vijayshri Chaurasia; Ajay Somkuwar (ICDIP, 2009)

Random-valued impulse noise removal using adaptive dual threshold median filter. - Vikas Gupta; Vijayshri Chaurasia; Madhu Shandilya (J. Vis. Commun. Image Represent., 2015)

Statistical feature extraction based technique for fast fractal image compression. - Vijayshri Chaurasia; Vaishali Chaurasia (J. Vis. Commun. Image Represent., 2016)

Multifeature-based medical image segmentation. - Yashwant Kurmi; Vijayshri Chaurasia (IET Image Process., 2018)

Classification of magnetic resonance images for brain tumour detection. - Yashwant Kurmi; Vijayshri Chaurasia (IET Image Process., 2020)

Microscopic images classification for cancer diagnosis. - Yashwant Kurmi; Vijayshri Chaurasia; Narayanan Ganesh; Abhimanyu Kesharwani (Signal Image Video Process., 2020)

Content-based image retrieval algorithm for nuclei segmentation in histopathology images. - Yashwant Kurmi; Vijayshri Chaurasia (Multim. Tools Appl., 2021)

Tuberculosis bacteria analysis in acid fast stained images of sputum smear. - Yashwant Kurmi; Vijayshri Chaurasia; Aditya Goel; Deepti Joshi; Neelkamal Kapoor (Signal Image Video Process., 2021)

Histopathology image segmentation and classification for cancer revelation. - Yashwant Kurmi; Vijayshri Chaurasia; Neelkamal Kapoor (Signal Image Video Process., 2021)

MRI denoising using advanced NLM filtering with non-subsampled shearlet transform. - Abhishek Sharma; Vijayshri Chaurasia (Signal Image Video Process., 2021)

Deep CNN model for crops' diseases detection using leaf images. - Yashwant Kurmi; Prankur Saxena; Bhupendra Singh Kirar; Suchi Gangwar; Vijayshri Chaurasia; Aditya Goel (Multidimens. Syst. Signal Process., 2022)

Leaf images classification for the crops diseases detection. - Yashwant Kurmi; Suchi Gangwar; Vijayshri Chaurasia; Aditya Goel (Multim. Tools Appl., 2022)

GARL-Net: Graph Based Adaptive Regularized Learning Deep Network for Breast Cancer Classification. - Vivek Patel; Vijayshri Chaurasia; Rajesh Mahadeva; Shashikant P. Patole (IEEE Access, 2023)

Nucleion Segmentation for Breast Cancer Classification. - Vijayshri Chaurasia; Mamta Patankar; Madhu Shandilya; Vivek Patel; Ebtasam Ahmad Siddiqui; Laxmi Kumre (ICCAE, 2024)

MRI Information-based Correction and Restoration of photoacoustic Tomography: Review. - Vaibhav Nagrale; Laxmi Kumre; Vijayshri Chaurasia; Madhu Shandilya (ICCAE, 2024)

Efficient breast cancer diagnosis using multi-level progressive feature aggregation based deep transfer learning system. - Vivek Patel; Vijayshri Chaurasia (Int. J. Imaging Syst. Technol., 2024)

Enhancing Smart Home Security Using Deep Convolutional Neural Networks and Multiple Cameras. - Rishi Sharma; Anjali Potnis; Vijayshri Chaurasia (Wirel. Pers. Commun., 2024)

A novel spiking neural network method for classification of tuberculosis using X-ray images. - Mamta Patankar; Vijayshri Chaurasia; Madhu Shandilya (Comput. Electr. Eng., 2025)

EDenseNetViT: Leveraging Ensemble Vision Transform Integrated Transfer Learning for Advanced Differentiation and Severity Scoring of Tuberculosis. - Mamta Patankar; Vijayshri Chaurasia; Madhu Shandilya (Int. J. Imaging Syst. Technol., 2025)

A novel dense-net deep neural network with enhanced feature selection method for classification of different stages of tuberculosis using chest X-ray images. - Mamta Patankar; Vijayshri Chaurasia; Madhu Shandilya (Multim. Tools Appl., 2025)