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Publications by Meenakshi H. Thakur
A Novel Approach for Fully Automatic Intra-Tumor Segmentation With 3D U-Net Architecture for Gliomas
Frontiers in Computational Neuroscience
Neuroscience
Cellular
Molecular Neuroscience
Related publications
Optimisation of 2D U-Net Model Components for Automatic Prostate Segmentation on MRI
Applied Sciences (Switzerland)
Instrumentation
Materials Science
Fluid Flow
Engineering
Computer Science Applications
Process Chemistry
Transfer Processes
Technology
Segmentation of Roots in Soil With U-Net
Plant Methods
Biotechnology
Plant Science
Genetics
Automatic Segmentation of Kidney and Renal Tumor in CT Images Based on 3D Fully Convolutional Neural Network With Pyramid Pooling Module
Clinical Evaluation of Fully Automated Thigh Muscle and Adipose Tissue Segmentation Using a U-Net Deep Learning Architecture in Context of Osteoarthritic Knee Pain
Magnetic Resonance Materials in Physics, Biology, and Medicine
Nuclear Medicine
Radiology
Ultrasound Technology
Biophysics
Radiological
Imaging
A U-Net Deep Learning Framework for High Performance Vessel Segmentation in Patients With Cerebrovascular Disease
Frontiers in Neuroscience
Neuroscience
A Novel Image Segmentation Approach for Microstructure Modelling
Coatings
Surfaces
Films
Coatings
Materials Chemistry
Interfaces
Fully Connected CRF With Data-Driven Prior for Multi-Class Brain Tumor Segmentation
A Fully Automatic Approach for the Accurate Localization of the Pupils
Lecture Notes in Computer Science
Computer Science
Theoretical Computer Science
A Robust Fully Automatic Lumen Segmentation Method for in Vivo Intracoronary Optical Coherence Tomography
Research on Biomedical Engineering
Biomedical Engineering
