Right below you can see some of the projects I have worked on and ended up in a scientific paper. Further down on this page are some toy projects made just to learn some other techniques.
Sensitivity Analysis of Stroke Predictors Using Structural Equation Modeling and Bayesian Networks
Conference: 2022 IEEE Conf. on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB).
Code (Jupyter Notebook).
Decision Support for Infection Outbreak Analysis: the case of the Diamond Princess cruise ship
A cross-cutting approach for tracking architectural distortion locii on digital breast tomosynthesis slices
Journal: Biomedical Signal Processing and Control.
Exploratory learning with convolutional autoencoder for discrimination of architectural distortion in digital mammography
Conference: SPIE Medical Imaging 2019: Computer-Aided Diagnosis.
Reduction of false-positives in a CAD scheme for automated detection of architectural distortion in digital mammography
Conference: SPIE Medical Imaging 2018: Computer-Aided Diagnosis.
Validation of no-reference image quality index for the assessment of digital mammographic images
Conference: SPIE Medical Imaging 2016: Image Perception, Observer Performance, and Technology Assessment.
Use of Wavelet Multiresolution Analysis to Reduce Radiation Dose in Digital Mammography
Conference: 2015 IEEE 28th Intl Symp. on Computer-Based Medical Systems.
Here are projects made for experimental purposes. I do them when I'm learning something new or I just want to try some techniques.
Click on the images to go to respective Github repository.