Kenza Ily Benkirane's Projects
UCL Module: Applied Deep Learning
Predict schizophrenia from brain grey matter with Voxel-based morphometry
ML prediction of hospital readmissions for diabetic patients
Decoding the Learned Features of Masked Autoencoders in Semantic Segmentation Tasks
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(TPAMI2022) The ImageNet-S benchmark/method for large-scale unsupervised/semi-supervised semantic segmentation.
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12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
UCL LaTeX thesis templates.
Classification using Vision Transformers (ViT) and MixUp Augmentation
Simulation of the light-skin interaction in Smart wearables, using Monte-Carlo simulation, in order to optimise the measure depending a patients' melanin rate and BMI, and make wearable devices a precise clinical tools.
Capturing clinical structure of the spine from an X-Ray with a Python GUI.
X-Ray Tracking System: harnesses data-science algorithms to analyze and track changes in an X-ray images database shared with multiple US Spine Research Centers.