Single Red Blood Cell Hydrodynamic Traps Via the Generative Design

Last update: Jun 16, 2022

Overview

Single Red Blood Cell Hydrodynamic Traps Via the Generative Design

This is the repository for the paper "Single Red Blood Cell Hydrodynamic Traps Via the Generative Design" submitted to Micromachines journal.

In the paper, the evolutionary approach implemented in GEFEST framework was applied to optimize the structure of geometrically-encoded cell traps.

Experiments folder contains the scripts that run the optimization for the described case. Setup contains the wrapper for the COMSOL simulator and the configuration for the simulation environment. Results folder contains the structure of best obtained configuration.

Owner

Natural Systems Simulation Lab

Natural Systems Simulation Lab in ITMO University

GitHub Repository

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Single Red Blood Cell Hydrodynamic Traps Via the Generative Design

Related tags

Overview

Single Red Blood Cell Hydrodynamic Traps Via the Generative Design

Owner

Natural Systems Simulation Lab

RP-GAN: Stable GAN Training with Random Projections

Fight Recognition from Still Images in the Wild @ WACVW2022, Real-world Surveillance Workshop

Episodic Transformer (E.T.) is a novel attention-based architecture for vision-and-language navigation. E.T. is based on a multimodal transformer that encodes language inputs and the full episode history of visual observations and actions.

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

OpenLT: An open-source project for long-tail classification

Unofficial implementation of the ImageNet, CIFAR 10 and SVHN Augmentation Policies learned by AutoAugment using pillow

PyTorch implementation for our paper "Deep Facial Synthesis: A New Challenge"

Provided is code that demonstrates the training and evaluation of the work presented in the paper: "On the Detection of Digital Face Manipulation" published in CVPR 2020.

AttGAN: Facial Attribute Editing by Only Changing What You Want (IEEE TIP 2019)

Complete system for facial identity system

[IEEE Transactions on Computational Imaging] Self-Gated Memory Recurrent Network for Efficient Scalable HDR Deghosting

This is implementation of AlexNet(2012) with 3D Convolution on TensorFlow (AlexNet 3D).

Automatic Data-Regularized Actor-Critic (Auto-DrAC)

Fast and accurate optimisation for registration with little learningconvexadam

Lama-cleaner: Image inpainting tool powered by LaMa

Official code for paper "ISNet: Costless and Implicit Image Segmentation for Deep Classifiers, with Application in COVID-19 Detection"

git《Learning Pairwise Inter-Plane Relations for Piecewise Planar Reconstruction》(ECCV 2020) GitHub:

Pytorch implementation for "Distribution-Balanced Loss for Multi-Label Classification in Long-Tailed Datasets" (ECCV 2020 Spotlight)

Implementation of "StrengthNet: Deep Learning-based Emotion Strength Assessment for Emotional Speech Synthesis"

Contrastive Fact Verification