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I'm a researcher with a Master's in Computer Science, specializing in Computer Vision and Trustworthy AI in healthcare.

Developed models for visual attribution of medical images, particularly for domains where pixel-level labels are difficult to attain (such as Alzheimer). Evaluated and performed experiments on three datasets including synthetic, Alzheimer;s disease Neuro imaging Initiative(ADNI) and, BraTS dataset.

Detailed-oriented, responsible, and committed, with a get-it-done, on-time, and high-quality work. Self and quick learner, self-motivated, and social.

  • šŸŒ± Iā€™m currently learning: Deep Learning, particularly Computer Vision
  • šŸ¤” Iā€™m currently open for: A new job opportunity.
  • šŸ“« How to reach me: Catch and follow me from the above link šŸ‘†, in addition to follow me here.

Abdul Wahab

Last edited on: 08/12/2023

AB's Projects

anomaly_detection icon anomaly_detection

These are the implementations of Anomaly Detection on IoT Network Intrusion Dataset.

gans icon gans

These are the implementations of GANs for image debluring and super resolution.

tf2-keras-gan-notebooks icon tf2-keras-gan-notebooks

Generative Adversarial Networks with TensorFlow2, Keras and Python (Jupyter Notebooks Implementations)

the-incredible-pytorch icon the-incredible-pytorch

The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.

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