Adnaan

Key Skills

Software

Other

Top Subject Matter

3D Cardiac MRI segmentation using Deep Supervision U-Net

Top Data Types

No data types listed

Top Task Types

Segmentation

Freelancer Overview

3D Cardiac MRISegmentation using Deep Supervision U-Net (Kaggle notebook project). Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Bachelor of Technology, VNR Vignana Jyothi Institute of Engineering and Technology (VNRVJIET) (2026). AI-training focus includes data types such as Medical and DICOM and labeling workflows including Segmentation.

Labeling Experience

3D Cardiac MRISegmentation using Deep Supervision U-Net (Kaggle notebook project)

OtherSegmentation

Built an automated deep learning segmentation pipeline for multi-class cardiac structures from 3D MRI (NIfTI) volumes. Implemented preprocessing steps including normalization, resizing, and data augmentation to support robust model training. Used a Deep Supervision U-Net architecture with multi-scale outputs and Dice + Cross-Entropy losses to improve feature learning and segmentation accuracy. • Prepared and leveraged volumetric medical imaging data for supervised segmentation training. • Configured augmentation strategies to increase data diversity and reduce overfitting. • Trained and validated the model to achieve a Dice score of 0.75 and accuracy of 99.5%. • Evaluated segmentation performance on validation data.

2023

Education

Work History