- Hi, I am Kenan Morani, alternatively spelled Kinan
- I am interested in Computer Vision, Data Science and academic roles
- I look to collaborate with academicians, programmers and all others
- You can always reach me at (kenan.morani@gmail.com)
- Kindly check my organization for more details of my work
- Providing mobile-friendly Transformer-based solution for COVID-19 diagnosis using xxs_mobilevit; link
- Extending COVID-19 solution to Common Pneumonia cases; link
- Finally, web-apps using streamlit for COVID-19 diagnosis with an accurate methodology are deployed:
- Using a single 2D grayscale medical slice here
- Using a full CT scan here - Providing an accurate solution for COVID-19 detection and ranking fourth on the leaderboard, within IEEE ICASSP 2023: AI-enabled Medical Image Analysis Workshop and Covid-19 Diagnosis Competition (AI-MIA-COV19D) using a full framework; link
- Planning and deployment of mature algorithms for 119E578 TÜBİTAK 1001Project, using ImageJ plugins and Docker Images, owned by Prof. Devrim Unay; link1 link2
- Deployment and Integration of Gaze Estimation algorithm FSA-Net for 5210035 TUBITAK-1505 project, using QT Creator, owned by Prof. Övgü Ozturk
- Providing a lightweight and easy-to-follow Transfer Learning-based solution for COVID-19 detection through MIA-COVID-19 ECCV 2022 workshop, and being listed again on the leaderboard; link
- Providing a lightweight solution for COVID-19 diagnosis using image processing techniques and CNN modelling through MIA-COVID-19 ICCV 2021 workshop, and being listed on the leaderboard; link
- Testing recent feature selection techniques to build a model to predict bank customer' willingness to take a bank loan; link
- Comparing the main machine learning models (ANN, SVM, RF) for predicting survival of patients with cardiac failure in a case study; link