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followers: 14.0 following: 16.0 repos: 15.0 gists: 0.0

Name: Atakan Topcu

Type: User

Company: Bilkent University, UMRAM

Bio: National Magnetic Resonance Research Center, Bilkent University

Blog: https://attakuan.github.io/

👋 Hi, I’m Atakan Topcu.

👀 Currently, I’m interested in the unsupervised deep learning methods for variety of clinical diffusion MRI (dMRI) applications along with both hardware and software realization of Magnetic Particle Imaging (MPI)/Magnetic Particle Spectroscopy (MPS).

🧐 If I got the chance, I would also like to work with other imaging modalities such as Fourier ptychography or cryo-EM.

🌱 I’m currently pursuing my Master's degree at Bilkent University, Ankara, Turkey.

📫 You can reach me via: [email protected]

Connect with me:

Atakan Topcu's Projects

attakuan

comparative-study-of-medical-image-segmentation-algorithms

cs554_survey

Literature Survey for CS554: Computer Vision

dir_ssfp

Pulseq implementation for Double Inversion Recovery for b-SSFP and nb-SSFP

eee443-a-comparative-study-of-image-captioning-methods

eee443_miniprojects

Mini Projects for Neural Networks

eee485_project

hyperstyle

Official Implementation for "HyperStyle: StyleGAN Inversion with HyperNetworks for Real Image Editing" (CVPR 2022) https://arxiv.org/abs/2111.15666

learned_dmri

Learn diffusion gradient directions for accelrated dMRI

pixel2style2pixel

Official Implementation for "Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation" (CVPR 2021) presenting the pixel2style2pixel (pSp) framework

pulse

PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models

pulse-stylegan2-implementation

StyleGAN2 implementation for PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models

restyle-encoder

Official Implementation for "ReStyle: A Residual-Based StyleGAN Encoder via Iterative Refinement" (ICCV 2021) https://arxiv.org/abs/2104.02699

statistical-foundations-of-natural-language-processing-assignments

This repository contains small projects related to EEE586 Statistical Foundations of Natural Language Processing course.

visuo-tactile-deep-learning-model-for-data-efficient-robotic-arm-manipulation

Visuo-Tactile Deep Learning Model for Data Efficient Robotic Arm Manipulation

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