Image Enhancement for Low-Light and Hazy Conditions Using Retinex Theory and Wavelet Transform Fusion. - Jyoti Singhai; Dheeraj Agrawal; Agnesh Chandra Yadav; Praveen Kumar Tyagi (FUSION, 2023)

ResNet-101 Empowered Deep Learning for Breast Cancer Ultrasound Image Classification. - Agnesh Chandra Yadav; Maheshkumar H. Kolekar; Mukesh Kumar Zope (BIOSTEC (1), 2024)

DCRUNet++: A Depthwise Convolutional Residual UNet++ Model for Brain Tumor Segmentation. - Yash Sonawane; Maheshkumar H. Kolekar; Agnesh Chandra Yadav; Gargi Kadam; Sanika Tiwarekar; Dhananjay R. Kalbande (ICPR (27), 2024)

EffUNet++: A Novel Architecture for Brain Tumor Segmentation Using FLAIR MRI Images. - Agnesh Chandra Yadav; Maheshkumar H. Kolekar; Yash Sonawane; Gargi Kadam; Sanika Tiwarekar; Dhananjay R. Kalbande (IEEE Access, 2024)

Low-light and hazy image enhancement using retinex theory and wavelet transform fusion. - Dheeraj Agrawal; Agnesh Chandra Yadav; Praveen Kumar Tyagi (Multim. Tools Appl., 2024)

Modified Recurrent Residual Attention U-Net model for MRI-based brain tumor segmentation. - Agnesh Chandra Yadav; Maheshkumar H. Kolekar; Mukesh Kumar Zope (Biomed. Signal Process. Control., 2025)