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Data Alchemy: Crafting Beauty from Noise
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Data Alchemy: Crafting Beauty from Noise
9 followers · 2 following

Achievements

Achievement: Pull Sharkx3Achievement: Pair ExtraordinaireAchievement: QuickdrawAchievement: YOLOAchievement: Arctic Code Vault Contributor

Achievements

Achievement: Pull Sharkx3Achievement: Pair ExtraordinaireAchievement: QuickdrawAchievement: YOLOAchievement: Arctic Code Vault Contributor

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ViacheslavDanilov/README.md

Welcome to my GitHub profile!

Email    WhatsApp    Telegram    LinkedIn    Google Scholar    ORCID    Research Gate   

Personal Webpage    PCV   

🧑‍💻 About me

Experienced Lead ML Engineer and Research Professor with a PhD in Computer Science from Tomsk Polytechnic University, attained in 2020. Skilled in data science, data analysis, and machine learning development, with over 10 years of experience in both academic and industrial domains. Proven expertise in all stages of the development cycle for dynamic ML projects, utilizing various programming languages and frameworks such as Python, R, TensorFlow, Keras, and PyTorch. Experienced in using AWS services for ML tasks, including EC2, IAM, S3, ECR, and SageMaker. Strong background in scientific experimentation, data analytics, modeling, and visualization. Solid publication record, with articles featured in prestigious journals such as Springer, Frontiers, and Nature.

🛠️ Projects

📖 Publications

Journal Articles
Article Journal Quartile IF Year
Advancing Laser Ablation Assessment in Hyperspectral Imaging through Machine Learning Computers in Biology and Medicine Q1 7.7 2024
ML-Driven Segmentation of Microvascular Features During Histological Examination of Tissue-Engineered Vascular Grafts Frontiers in Bioengineering and Biotechnology Q1 5.7 2024
Explainable AI to identify radiographic features of pulmonary edema Radiology Advances - - 2024
Perfect prosthetic heart valve: generative design with machine learning, modeling, and optimization Frontiers in Bioengineering and Biotechnology Q1 5.7 2023
Use of semi-synthetic data for catheter segmentation improvement Computerized Medical Imaging and Graphics Q1 7.4 2023
FABRIKx: tackling the inverse kinematics problem of continuum robots with variable curvature Robotics Q1 3.4 2022
Automatic scoring of COVID-19 severity in X-ray imaging based on a novel deep learning workflow Nature Scientific Reports Q1 5.0 2022
Indirect supervision applied to COVID-19 and pneumonia classification Informatics in Medicine Q2 3.5 2022
Aortography keypoint tracking for transcatheter aortic valve implantation based on multi-task learning Frontiers in Cardiovascular Medicine Q1 5.8 2021
Real-time coronary artery stenosis detection based on modern neural networks Nature Scientific Reports Q1 5.0 2021
Analysis of deep neural networks for detection of coronary artery stenosis Programming and Computer Software Q3 1.4 2021
Segmentation based on propagation of dynamically changing superpixels Programming and Computer Software Q3 1.4 2020
Feature selection algorithm based on PDF/PMF area difference Biomedical Signal Processing and Control Q1 5.1 2019
Efficient workflow for automatic segmentation of the right heart based on 2D echocardiography International Journal of Cardiovascular Imaging Q2 2.3 2018
Conference Proceedings
Article Conference City Year
Boosting segmentation accuracy of the deep learning models based on the synthetic data generation International Workshop on Photogrammetric and computer vision techniques for video surveillance, biometrics and biomedicine Moscow, Russia 2021
Comparative study of deep learning models for automatic coronary stenosis detection in X-ray angiography 30th International Conference on Computer Graphics and Vision Saint Petersburg, Russia 2020
Motion planning algorithm for continuum robots bending over obstacles III International Conference on Control in Technical Systems Saint Petersburg, Russia 2020
Ray-based segmentation algorithm for medical imaging International Workshop on Photogrammetric and computer vision techniques for video surveillance, biometrics and biomedicine Moscow, Russia 2019
Inverse kinematics for steerable concentric continuum robots 14th International Conference on Electromechanics and Robotics "Zavalishin's Readings" Kursk, Russia 2019
FABRIK-based inverse kinematics for multi-section continuum robots 18th International Conference on Mechatronics Brno, Czech Republic 2019

📁 Datasets

📈 Stats

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  1. histology_segmentation histology_segmentation Public

    This repository is dedicated to the segmentation of histological features in regenerated vascular tissues obtained from tissue-engineered vascular grafts (TEVGs) implanted in sheep.

    Python

  2. edema_quantification edema_quantification Public

    Forked from quantori/edema-quantification

    This project is dedicated to the detection and classification of radiographic features associated with pulmonary edema

    Jupyter Notebook 1 1

  3. generative_design generative_design Public

    This repository is dedicated to the development of an approach based on machine learning and optimization algorithms for generative design of a prosthetic heart valve

    Python 6 2

  4. covid_scoring covid_scoring Public

    Forked from quantori/prj-covid-scoring

    This repository is dedicated to the scoring of lung diseases, where we propose a two-step workflow used for segmentation and scoring of lung diseases, including COVID-19

    Python 1

  5. hsi_analysis hsi_analysis Public

    This repository is dedicated to the segmentation of hyperspectral images during experimental animal surgery, where a variety of tasks were performed to process and analyze the hyperspectral data co…

    Jupyter Notebook

  6. atriel-studio atriel-studio Public

    This repository is devoted to the ongoing maintenance of the Atriel Studio shop, where we specialize in providing essential tools and resources for graphic designers and businesses.

    Python