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Hi 👋, I'm Yasien Essam

Who am I?

const aboutMe = {
   name: "Yasien",
   home: "Cairo, Egypt",
   education: "Fresh Graduate Biomedical Engineer from Cairo University",
   position: "AI Engineer at Inspire for Solutions Development",
   languages: ["Arabic", "English", "German"],
   hobbies: ["travel", "football", "gaming", "learning languages"]
};

Languages

Python C SQL

Technologies

FastAPI Docker Linux PyTorch TensorFlow


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Yasien Essam's Projects

adopt-me icon adopt-me

Adopt me is a simple app for adopting animals built using react.js and public APIs to enhance my react skills

bounding-box-for-brain-cancer-mri-scans icon bounding-box-for-brain-cancer-mri-scans

This repository contains the proposal, code, and documentation for my participation in the Google Summer of Code 2022 challenge. The project focuses on developing a versatile image processing methodology to auto-detect coverage bounding boxes on brain MRI images based on stated anatomic landmarks.

equalizer-and-instruments-player icon equalizer-and-instruments-player

This is a Sound Equalizer GUI App Using Python's PyQt5. It gives you the ability to play, pause, and Equalize any one-channel wav audio file and play 3 different instruments.

gi-tract-image-segmentation icon gi-tract-image-segmentation

Using U-Net architecture to effectively segment the stomach and intestines in MRI scans in order to improve the cancer treatment to avoid high doses of radiation to healthy tissues.

hovertrans icon hovertrans

Hover-Trans: Anatomy-aware HoVer-Transformer for ROI-free Breast Cancer Diagnosis in Ultrasound Images

img-filter icon img-filter

simple GUI was made for computer vision course, it has 2 tabs, one for filters and the other one for histogram equalization.

music-generation icon music-generation

Used RNN for music generation. learn the patterns in raw sheet music in ABC notation and then use this model to generate new music.

niffler icon niffler

Niffler: A DICOM Framework for Machine Learning and Processing Pipelines.

sampling-theory-illustrator icon sampling-theory-illustrator

desktop application using pyqt5 for illustrating how the sample theory work, applying Nyquist sampling and it can also generate signals with various freq, amplitude, phase and sum them up to make a new signal.

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