Adaloglou Nikolas

MedicalZooPytorch. A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation

3D-GAN-pytorch. Responsible implementation of 3D-GAN NIPS 2016 paper:Learning a Probabilistic Latent Space of ObjectShapes via 3D Generative-Adversarial Modeling,that can be found https://papers.nips.cc/paper/6096-learning-a-probabilistic-latent-space-of-object-shapes-via-3d-generative-adversarial-modeling.pdf

ct-intensity-segmentation. Introduction to medical image processing with Python: CT lung and vessel segmentation without labels https://theaisummer.com/medical-image-python/

MICCAI-2019-Prostate-Cancer-segmentation-challenge. Medical Deep Learning 2D high resolution image segmentation project: MICCAI 2019 Prostate Cancer segmentation challenge

Unity_Mesh_Deform_and_Smooth. simple mesh deform and smooth in Unity

slurm-hpc-survival-guide. Notes on using the HPC system

normalized_graph_cuts. Demystifying spectral clustering with graph cuts for unsupervised image segmentation

medical_image_DTI_MRI. Medical Image processing project DTI & T1-MRI

Neural_Network_lib_CUDA. Fully connected Neural Network CUDA C Library. MEng Thesis implemented in 2016-2017 in pure C/CUDA 8.

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