Author

Agnesh Chandra Yadav

Observed name: Agnesh Yadav

Institution: Indian Institute of Technology Patna

Observed institutions: Indian Institute of Technology Patna, Maulana Azad National Institute of Technology

ORCID: 0009-0007-8707-5142

Observed ORCID: 0009-0007-8707-5142

OpenAlex ID: A5114126233

Modified Recurrent Residual Attention U-Net model for MRI-based brain tumor segmentation

2024 · Agnesh Chandra Yadav, Maheshkumar H. Kolekar, et al. · Biomedical Signal Processing and Control · 77

EffUNet++: A Novel Architecture for Brain Tumor Segmentation Using FLAIR MRI Images

2024 · Agnesh Chandra Yadav, Maheshkumar H. Kolekar, et al. · IEEE Access · 60

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

2025 · Agnesh Chandra Yadav, Krish Shah, et al. · Multimedia Tools and Applications · 33

Low-light and hazy image enhancement using retinex theory and wavelet transform fusion

2024 · Dheeraj Agrawal, Agnesh Chandra Yadav, et al. · Multimedia Tools and Applications · 28

DCRUNet++: A Depthwise Convolutional Residual UNet++ Model for Brain Tumor Segmentation

2024 · Yash Sonawane, Maheshkumar H. Kolekar, et al. · Lecture notes in computer science · 24

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

2026 · Agnesh Chandra Yadav, Maheshkumar H. Kolekar · Biomedical Signal Processing and Control · 23

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

2024 · Agnesh Yadav, Maheshkumar Kolekar, et al. · International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC) · 19

AttRes-UNet: A Dual-Model Approach for Brain Tumor Segmentation

2024 · Samruddhi Maheshkumar Kolekar, Agnesh Chandra Yadav, et al. · International Conference on Advancement in Electronics & Communication Engineering (AECE) · 10

Image Enhancement by Defogging utilizing Scene Specific Dark Channel Prior

2024 · Agnesh Chandra Yadav, Samprit Bose, et al. · IEEE International Students' Conference on Electrical, Electronics and Computer Science (SCEECS) · 8

Image Enhancement for Low-Light and Hazy Conditions Using Retinex Theory and Wavelet Transform Fusion

2023 · Jyoti Singhai, Dheeraj Agrawal, et al. · International Conference on Information Fusion (FUSION) · 8

Image informatics for clinical and preclinical biomedical analysis

2024 · Agnesh Chandra Yadav, Maheshkumar H. Kolekar, et al. · Elsevier eBooks · 6

A Review of R Peak Detection Techniques of Electrocardiogram (ECG)

2017 · Agnesh Chandra Yadav, Naresh Grover · Journal of Engineering and Technology · 5

U-Net-Driven Advancements in Breast Cancer Detection and Segmentation

2024 · Agnesh Chandra Yadav, Zawed Alam, et al. · International Conference on Electrical Electronics and Computing Technologies (ICEECT) · 4

DARF-Net: A Dual Attention Retinex-Based Fusion Network for Low-Light Image Enhancement

2026 · Samprit Bose, Agnesh Chandra Yadav, et al. · IEEE Sensors Letters · 1

CA-UNETR: Transformer-Based Cross-Attention UNet for 3D Medical Image Segmentation

2026 · Agnesh Chandra Yadav, Maheshkumar H. Kolekar · Lecture notes in computer science

Contributors

2024 · Juliana Bunmi Adetunji, Charles Oluwaseun Adetunji, et al. · Elsevier eBooks

Works count: 16

Citation count: 305

H-index: 8

I10-index: 8