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  • Huawei
  • United Kingdom
  • 04:49 (UTC +01:00)
  • X @PTudosiu
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danieltudosiu/README.md

🤗 Buna ❤️ I am Dan Tudosiu 🤗 Twitter LinkedIn website

Research Scientist @ Multimodal Generation, AI Theory Group, Noah's Ark, Huawei, London, United Kingdom

We are expanding our team

What I am working on

  • Multi-layer Image and Video Decomposition and Generation
  • Controllable and Editable Generativel Modelling
  • Interleaved Text and Image Generation

Where I worked <3

Research Assisstant @ Amigo Lab, King's College London, London, United Kingdom

Researched One/Few-Shot(s) Active Learning Segmentation pipelines and how at-scale training can help their generalisation.

PhD Candidate @ Amigo Lab, King's College London

Developing state-of-the-art generative models of the human brain and applying them for anomaly detection and disease progression modelling.

  • We made the DALL-E of the human brain at MICCAI 2022.
  • We created the first morphologically correct generative model of the human brain at MICCAI 2022.
  • We extensively analised the usage of VQ-VAE + Transformer pipeline for anomaly detection. Work was published at MIDL and MICCAI.

Computer Vision Engineer @ Gentian Ltd, London, United Kingdom

Working for a greener future by:

  • Developing Remote-Sensing Deep Learning models aimed at quantifying current state and future potential of cities' green roof.
  • Creating insightful business inteligence for local authorities to decrease their carbon footprint.

Popular repositories

  1. nmpevqvae nmpevqvae Public

    Neuromorphologicaly Preserving Volumetric Data Encoding Using VQ-VAE

    Python 14 5

  2. runai_dist_examples runai_dist_examples Public

    Forked from Warvito/runai_dist_examples

    Examples for runai server using distributed training (using HOROVOD and DDP)

    Shell

  3. MONAI MONAI Public

    Forked from Project-MONAI/MONAI

    AI Toolkit for Healthcare Imaging

    Python

  4. ignite ignite Public

    Forked from pytorch/ignite

    High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.

    Python

  5. optical_density_well_plate_heatmap optical_density_well_plate_heatmap Public

    Python

  6. HA-GAN HA-GAN Public

    Forked from batmanlab/HA-GAN

    Official PyTorch implementation for HA-GAN, a memory efficient 3D GAN, accepted to IEEE J-BHI

    Jupyter Notebook