Agnesh Chandra Yadav

According to our database, Agnesh Chandra Yadav authored at least 8 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

Deep feature-based approaches for brain tumor classification and segmentation in medical imaging.

Agnesh Chandra Yadav, Maheshkumar H. Kolekar

Biomed. Signal Process. Control., 2026

2025

Computer-aided diagnosis for multi-class classification of brain tumors using CNN features via transfer-learning.

Agnesh Chandra Yadav, Krish Shah, Aaryan Purohit, Maheshkumar H. Kolekar

Multim. Tools Appl., September, 2025

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

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., September, 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

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

Proceedings of the Pattern Recognition - 27th International Conference, 2024

ResNet-101 Empowered Deep Learning for Breast Cancer Ultrasound Image Classification.

Agnesh Chandra Yadav, Maheshkumar H. Kolekar, Mukesh Kumar Zope

Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies, 2024

2023

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

Proceedings of the 26th International Conference on Information Fusion, 2023