Projects

Developed an end-to-end PACS-integrated system for the automatic segmentation and classification of breast cancer ultrasound images using state-of-the-art deep learning techniques

Configurable classification package for 3D lung Nodule CT that incorporates MLOps and Automated-parallel hyper parameter tuning

Fully customized 3d brain tumors segmentation engine that incorporates traditional approaches such as Z-net and DeepLabv3+ and probabilistic approaches like attention Unet with VAE

A 3D medical viewer built with vtk-js that supports volume rendering with multiple presets and marching cubes

Neural machine translation model utilizing LSTM with attention mechanism to convert various date formats into a standardized format

Built a speech dataset by employing DSP concepts, including histogram and FFT, and then utilized a GRU-based model for trigger word detection

The application leverages Z-transform concept to construct filters with zeros and poles, capturing the phase and magnitude response then filters real-time input signals and dynamically plots the results in real-time

Implementing Temprature displayer using ADC drive with LM35 tempreture sensor and LCD using STm32 microcontroller (ARM)

A multi-threaded application for curve fitting and interpolation to demonstrate the best way of fitting data by using one or more chunks and a graphical map for the error

Applying DSP concepts for spectrum analysis and instrument manipulations within songs with dynamic visualization