Academic Projects
Developed a deep learning pipeline for automated segmentation of
high-resolution 3D histological mouse brain images, enhancing the understanding of genetic impacts
on brain structure.
Details
Utilizing the ISIC
dataset, it addresses binary and multiclass classification challenges through data preprocessing,
augmentation,
and neural networks like InceptionNet and EfficientNet.
Details [update as soon as possible]
This
research contributes to enhancing medical imaging practices in managing COPD, based on data from the
COPDgene study.
Details [update as soon as possible]
Developed a brain tissue segmentation project at the University of Girona
using a 2D U-Net model with a
ResNet34 backbone, addressing MRI image variability within the IBSR18 dataset.
Details [update as soon as possible]
The classification of skin lesions (benign, melanoma, and seborrheic
keratosis) using deep learning models and
hybrid models (a combination of pre-trained and machine learning models).
Details [update as soon as possible]
To categorize Alzheimer's disease (AD), mild cognitive impairment (MCI),
and control (CTL), a classification
system using feature engineering and machine learning approaches.
Details [update as soon as possible]
Developed a regression algorithm using linear regression and KNN
regression and Root Mean Square Error
(RMSE).
Details [update as soon as possible]
Research articles prepared a review report on Automated Kidney Image
Segmentation Based on
Traditional & Deep Learning approaches and observed the advantages and drawbacks of each method.
Details [update as soon as possible]
The "Traffic Signal Light Simulation and Violation Alert System" enhances
urban traffic management by simulating traffic signals and detecting violations in real-time
Details [update as soon as possible]