Ph.D. in computer vision applied to medical imaging. Very passionate about AI, computer vision and, more precisely, deep learning.
synthesis-with-slice-based-ldm. Official repository for "3D MRI Synthesis with Slice-Based Latent Diffusion Models: Improving Tumor Segmentation Tasks in Data-Scarce Regimes"
16multi-modal-mri-and-mask-synthesis-with-conditional-slice-based-ldm. Official repository for 3D multimodal MRI synthesis with conditional slice-based latent diffusion models for data augmentation in tumor segmentation
11multimodal-mri-cbir-with-autoencoders. [Academic Work] Implementation of a Contrastive Learning Algorithm Based on Deep Neural Networks for Retrieving Similar Subject MRIs Given Tumoral Region Segmentation
1fluorescent-neuronal-cells-segmentation-pix2pix-gan. Jupyter Notebook
1implementation-of-a-shallow-nn-for-classification-from-scratch-numpy. Jupyter Notebook
1arksyd96.github.io. HTML
1multivariate-linear-regression-with-numpy. Jupyter Notebook
1neural-network-from-scratch. Implementation of a 2 layers simple neural network from scratch using numpy
1covid19-detection-with-xray-image-keras. COVID-19 detection neural networik using X-ray images dataset and keras
1aerial-to-topographic-pix2pix. This web app uses an Image-to-Image generative adversarial network (Pix2Pix) to transform aerial images collected from the ArcGIS API, and transforms it into a topographique map.
1federated-pet-harmonization. Jupyter Notebook
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