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Why statement

I believe in sharing AI research experiences with blogs & open-source and creating useful human-centered AI solutions.

Core projects

Who am I?

I love minimalism, simplicity, and honesty. In social terms, I am an Electrical and Biomedical Engineer (MEng + MSc) interested in the development of human-centered AI. I am currently conducting my Ph.D. research at the University of Dusseldorf. I occasionally publish blog posts on AI Summer. Previous AI research projects that I consciously participated in include radiotherapy research for people with cancer (2020), Greek Sign Language solution systems (2019) and educational games for people with disabilities (2018).

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Email remark If you have an offer, opportunity, or introduction that might make my life more interesting, then definitely e-mail me at nikolas [%*^*&_at_&%^*] theaisummer.com . I’ll only respond to those proposals that are a good match for my schedule and interests.

Adaloglou Nikolas's Projects

3d-gan-pytorch icon 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 icon ct-intensity-segmentation

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

dgm-eval icon dgm-eval

Codebase for evaluation of deep generative models as presented in Exposing flaws of generative model evaluation metrics and their unfair treatment of diffusion models

medicalzoopytorch icon medicalzoopytorch

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

neural_network_lib_cuda icon neural_network_lib_cuda

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

nvae icon nvae

The Official PyTorch Implementation of "NVAE: A Deep Hierarchical Variational Autoencoder" (NeurIPS 2020 spotlight paper)

pytorch-studiogan icon pytorch-studiogan

StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.

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