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Generative Arts, Medical Image Analysis
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Generative Arts, Medical Image Analysis
41 followers · 12 following

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kaledhoshme123/README.md

Hi there 👋

I am Khaled, a distinguished graduate with a Bachelor’s degree in Computer Science from Homs University, where I excelled academically. I possess a profound passion and advanced expertise in the field of computer vision and deep learning, with a particular focus on the development and application of neural generative models. My research interests center on advanced image analysis using state-of-the-art artificial intelligence techniques, emphasizing the extraction of fundamental features from images and the generation of new images adhering to predefined conditions and specifications. Additionally, I have specialized expertise in the processing and analysis of medical images, contributing to enhanced diagnostic accuracy and the development of innovative healthcare applications.

I am deeply invested in the domain of generative arts, including the creation of facial images with precise specifications and the generation of three-dimensional imagery using cutting-edge technologies. To continuously advance my knowledge and refine my skills, I engage in rigorous academic pursuits, reviewing and analyzing two research papers weekly in the field of computer vision, with a particular emphasis on generative models and their applications.

Furthermore, my work extends to the analysis and detection of motion, with a specific focus on early prediction of future movements, paving the way for groundbreaking applications in advanced computer vision.

Courses and certificates

Publications:

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kaled hoshme's github stats

Python Keras Matplotlib NumPy Pandas scikit-learn TensorFlow Jupyter Notebook Kaggle

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  1. Early-Detection-of-Collective-or-Individual-Theft-Attempts-Us-ing-Long-term-Recurrent-Convolutional- Early-Detection-of-Collective-or-Individual-Theft-Attempts-Us-ing-Long-term-Recurrent-Convolutional- Public

    I designed an intelligent system capable of analyzing movement within the videos and detecting suspicious movement that precedes the occurrence of shoplifting crimes. The proposed system can analyz…

    20 3

  2. Human-Protein-Atlas-Image-Classification Human-Protein-Atlas-Image-Classification Public

    Proposing a neural network architecture capable of classifying protein organelle localization labels, the proposed model was able to reach an accuracy of 95 percent for test data and training data.…

    Jupyter Notebook 8 2

  3. Multi-Scale-CycleGAN-Night-to-Day Multi-Scale-CycleGAN-Night-to-Day Public

    Converting night into day is one of the most interesting applications in generative models, due to the great difficulty in recreating the scene during the day, especially in cases of extreme darkne…

    Jupyter Notebook 11

  4. VAE-CycleGAN-MRI-CT-Scan-Images VAE-CycleGAN-MRI-CT-Scan-Images Public

    The study works on generating CT images from MRI images, where unsupervised learning was used using VAE-CycleGan. Since the number of samples included in the data set used in the study, and therefo…

    Jupyter Notebook 11 1