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Beata Wereszczyńska's Projects

k-space_wght_msk_for_mri_denoising icon k-space_wght_msk_for_mri_denoising

k-space weighting and masking for denoising of MRI image without blurring or losing contrast, as well as for brightening of the objects in the image with simultaneous noise reduction (on the example of Agilent FID data). (Python 3)

mri_k-space-derived_details_edges icon mri_k-space-derived_details_edges

k-space based details/edges detection in MRI images with optional k-space based denoising and detail control (on the example of Agilent FID data). (Python 3)

sml_forged_banknotes icon sml_forged_banknotes

Comparison of numerous supervised machine learning classifier models (Logistic Regression, K-Nearest Neighbors, Support Vector Machines and Decision Trees) predicting if a banknote is genuine or not based on the dataset from OpenML containing wavelet analysis results for genuine and forged banknotes. (Python 3)

square_img_fragments icon square_img_fragments

Saving random unique square fragments of an image (located inside or outside defined bounding box) as jpg. (Python 3)

swelling_tablet_fronts_d_k_from_mri_t2_or_img icon swelling_tablet_fronts_d_k_from_mri_t2_or_img

Tool for calculating swelling tablet eroding front's diffusion rate D and the rate of the swelling k from time series of either T2-maps or MRI images in FDF or Text Image format. (Python 3)

t1wir_to_t1wsr icon t1wir_to_t1wsr

Simulating T1-weighted saturation recovery MRI images for arbitrary values of TR from a set of T1-weighted inversion recovery MRI images. (Python 3)

ti_te_wish icon ti_te_wish

Simulating T1- and T2-weighted MRI images with arbitrary values of TI or TE, respectively. (Python 3)

tiandte_wish icon tiandte_wish

Calculating theoretical MRI images with both TI (T1-weighting) and TE (T2-weighting) of choice, from separate T1-weighted and T2-weighted sets of images. (Python 3)

uml_forged_banknotes icon uml_forged_banknotes

UML dimensionality reduction and clustering models for predicting if a banknote is genuine or not based on the dataset from OpenML containing wavelet analysis results for genuine and forged banknotes - practical exercise. (Python 3)

xzceb-flask_eng_fr icon xzceb-flask_eng_fr

flask_enf_fr for IBM course "Python Project for AI & Application Development" on coursera.org

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