About
Contact & Profiles
A5116568501
Research Areas
- Medical Image Segmentation Techniques
- Brain Tumor Detection and Classification
- Advanced Neural Network Applications
- Power Line Inspection Robots
- Tunneling and Rock Mechanics
- Anomaly Detection Techniques and Applications
- Drilling and Well Engineering
- Landslides and related hazards
- Rock Mechanics and Modeling
- Flood Risk Assessment and Management
University of Petroleum and Energy Studies
2025
Thapar Institute of Engineering & Technology
2022
10.1109/access.2025.3547796
article
EN
cc-by
IEEE Access
2025-01-01
10.1109/access.2025.3557815
article
EN
cc-by
IEEE Access
2025-01-01
10.1016/j.procs.2025.04.453
article
EN
Procedia Computer Science
2025-01-01
Abstract The diagnosis' treatment planning, follow‐up and prognostication of Gliomas is significantly enhanced on Magnetic Resonance Imaging. In the present research, deep learning‐based variant convolutional neural network methodology proposed for glioma segmentation where pretrained autoencoder acts as backbone to 3D‐Unet which performs task well image restoration. Further, Unet accepts input combination three non‐native MR images (T2, T1CE, FLAIR) extract maximum superior features...
10.1002/ima.22822
article
EN
International Journal of Imaging Systems and Technology
2022-11-05
Coming Soon ...