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https://github.com/viacheslavdanilov/viacheslavdanilov
Personal repository
https://github.com/viacheslavdanilov/viacheslavdanilov
Last synced: 8 days ago
JSON representation
Personal repository
- Host: GitHub
- URL: https://github.com/viacheslavdanilov/viacheslavdanilov
- Owner: ViacheslavDanilov
- Created: 2022-04-23T07:34:04.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2024-07-17T20:41:49.000Z (6 months ago)
- Last Synced: 2024-11-10T13:49:05.333Z (2 months ago)
- Size: 859 KB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
Welcome to my GitHub profile!
## 🧑💻 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.
- 👨🏻🎓 PhD in Computer Science from [Tomsk Polytechnic University](https://tpu.ru/en/)
- 👨🏻🔬 Research Professor at [Pompeu Fabra University](https://www.upf.edu/en/home)
- 👨🏻💻 Lead ML Engineer at [Quantori](https://www.quantori.com/)
## 🛠️ Projects
- Histogenomic analysis of tumor immunologic phenotypes ([project summary](https://sites.google.com/view/viacheslav-danilov/projects/histogenomic-analysis), [blog post](https://quantori.com/blog/harnessing-ai-for-histopathology-a-leap-towards-precision-medicine))
- ML-driven segmentation of histologic microvascular features ([project summary](https://sites.google.com/view/viacheslav-danilov/projects/histology-segmentation), [article](https://www.frontiersin.org/articles/10.3389/fbioe.2024.1411680))
- Explainable AI to identify pulmonary edema ([project summary](https://sites.google.com/view/viacheslav-danilov/projects/pulmonary-edema), [article](https://academic.oup.com/radadv/article/1/1/umae003/7630768))
- Generative design of heart valve prostheses ([project summary](https://sites.google.com/view/viacheslav-danilov/projects/generative-design), [article](https://www.frontiersin.org/journals/bioengineering-and-biotechnology/articles/10.3389/fbioe.2023.1238130/full))
- Face obfuscation and anonymization on 3D medical data ([project summary](https://sites.google.com/view/viacheslav-danilov/projects/face-obfuscation))
- Deep learning detection and counting cells on microscopy images ([project summary](https://sites.google.com/view/viacheslav-danilov/projects/cell-counting))
- COVID-19 and pneumonia classification based on indirect supervision ([project summary](https://sites.google.com/view/viacheslav-danilov/projects/covid-19-classification), [article](https://www.sciencedirect.com/science/article/pii/S2352914821002975))
- Coronary artery stenosis detection ([project summary](https://sites.google.com/view/viacheslav-danilov/projects/stenosis-detection), [article](https://www.nature.com/articles/s41598-021-87174-2))
- Aortography keypoint tracking for TAVI ([project summary](https://sites.google.com/view/viacheslav-danilov/projects/keypoint-tracking), [article](https://www.frontiersin.org/articles/10.3389/fcvm.2021.697737/full), [interactive report](https://wandb.ai/viacheslav_danilov/tavr_keypoint_tracking/reports/Keypoint-tracking-and-classification--Vmlldzo3ODIyNQ))
- Segmentation of a medical device during minimally invasive surgery ([project summary](https://sites.google.com/view/viacheslav-danilov/projects/segmentation-of-medical-devices))
## 📖 Publications
Journal Articles
| Article | Journal | Quartile | IF | Year |
|:----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------:|:----------------------------------------------------------------------------------------------------------------------------:|:--------:|:---:|:----:|
| [Advancing Laser Ablation Assessment in Hyperspectral Imaging through Machine Learning](https://www.sciencedirect.com/science/article/pii/S001048252400934X) | [Computers in Biology and Medicine](https://www.sciencedirect.com/journal/computers-in-biology-and-medicine) | Q1 | 7.7 | 2024 |
| [ML-Driven Segmentation of Microvascular Features During Histological Examination of Tissue-Engineered Vascular Grafts](https://www.frontiersin.org/articles/10.3389/fbioe.2024.1411680) | [Frontiers in Bioengineering and Biotechnology](https://www.frontiersin.org/journals/bioengineering-and-biotechnology) | Q1 | 5.7 | 2024 |
| [Explainable AI to identify radiographic features of pulmonary edema](https://academic.oup.com/radadv/advance-article/doi/10.1093/radadv/umae003/7630768) | [Radiology Advances](https://academic.oup.com/radadv) | - | - | 2024 |
| [Perfect prosthetic heart valve: generative design with machine learning, modeling, and optimization](https://www.frontiersin.org/articles/10.3389/fbioe.2023.1238130) | [Frontiers in Bioengineering and Biotechnology](https://www.frontiersin.org/journals/bioengineering-and-biotechnology) | Q1 | 5.7 | 2023 |
| [Use of semi-synthetic data for catheter segmentation improvement](https://www.sciencedirect.com/science/article/abs/pii/S089561112300006X) | [Computerized Medical Imaging and Graphics](https://www.sciencedirect.com/journal/computerized-medical-imaging-and-graphics) | Q1 | 7.4 | 2023 |
| [FABRIKx: tackling the inverse kinematics problem of continuum robots with variable curvature](https://www.mdpi.com/2218-6581/11/6/128) | [Robotics](https://www.mdpi.com/journal/robotics) | Q1 | 3.4 | 2022 |
| [Automatic scoring of COVID-19 severity in X-ray imaging based on a novel deep learning workflow](https://www.nature.com/articles/s41598-022-15013-z) | [Nature Scientific Reports](https://www.nature.com/srep/) | Q1 | 5.0 | 2022 |
| [Indirect supervision applied to COVID-19 and pneumonia classification](https://www.sciencedirect.com/science/article/pii/S2352914821002975) | [Informatics in Medicine](https://www.journals.elsevier.com/informatics-in-medicine-unlocked) | Q2 | 3.5 | 2022 |
| [Aortography keypoint tracking for transcatheter aortic valve implantation based on multi-task learning](https://www.frontiersin.org/articles/10.3389/fcvm.2021.697737/full) | [Frontiers in Cardiovascular Medicine](https://www.frontiersin.org/journals/cardiovascular-medicine) | Q1 | 5.8 | 2021 |
| [Real-time coronary artery stenosis detection based on modern neural networks](https://www.nature.com/articles/s41598-021-87174-2) | [Nature Scientific Reports](https://www.nature.com/srep/) | Q1 | 5.0 | 2021 |
| [Analysis of deep neural networks for detection of coronary artery stenosis](https://link.springer.com/article/10.1134/S0361768821030038) | [Programming and Computer Software](https://www.springer.com/journal/11086) | Q3 | 1.4 | 2021 |
| [Segmentation based on propagation of dynamically changing superpixels](https://link.springer.com/article/10.1134/S0361768820030044) | [Programming and Computer Software](https://www.springer.com/journal/11086) | Q3 | 1.4 | 2020 |
| [Feature selection algorithm based on PDF/PMF area difference](https://www.sciencedirect.com/science/article/pii/S1746809419302629) | [Biomedical Signal Processing and Control](https://www.sciencedirect.com/journal/biomedical-signal-processing-and-control) | Q1 | 5.1 | 2019 |
| [Efficient workflow for automatic segmentation of the right heart based on 2D echocardiography](https://link.springer.com/article/10.1007/s10554-018-1314-4) | [International Journal of Cardiovascular Imaging](https://www.springer.com/journal/10554) | Q2 | 2.3 | 2018 |
Conference Proceedings
| Article | Conference | City | Year |
|:--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------:|:----------------------------------------------------------------------------------------------------------------------------------------------------------------------:|:------------------------:|:----:|
| [Boosting segmentation accuracy of the deep learning models based on the synthetic data generation](https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLIV-2-W1-2021/33/2021/) | [International Workshop on Photogrammetric and computer vision techniques for video surveillance, biometrics and biomedicine](http://technicalvision.ru/ISPRS/PSBB21/) | Moscow, Russia | 2021 |
| [Comparative study of deep learning models for automatic coronary stenosis detection in X-ray angiography](http://ceur-ws.org/Vol-2744/paper75.pdf) | [30th International Conference on Computer Graphics and Vision](https://graphicon.itmo.ru/en/) | Saint Petersburg, Russia | 2020 |
| [Motion planning algorithm for continuum robots bending over obstacles](https://ieeexplore.ieee.org/abstract/document/8973282) | [III International Conference on Control in Technical Systems](https://etu.ru/en/university/conferences/cts2019) | Saint Petersburg, Russia | 2020 |
| [Ray-based segmentation algorithm for medical imaging](https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-2-W12/37/2019/) | [International Workshop on Photogrammetric and computer vision techniques for video surveillance, biometrics and biomedicine](http://technicalvision.ru/ISPRS/PSBB19/) | Moscow, Russia | 2019 |
| [Inverse kinematics for steerable concentric continuum robots](https://link.springer.com/chapter/10.1007/978-981-13-9267-2_8) | [14th International Conference on Electromechanics and Robotics "Zavalishin's Readings"](https://suai.edu.ru/conference/zav-read/) | Kursk, Russia | 2019 |
| [FABRIK-based inverse kinematics for multi-section continuum robots](https://ieeexplore.ieee.org/document/8624888) | [18th International Conference on Mechatronics](https://mechatronika.fel.cvut.cz/2018/index.html) | Brno, Czech Republic | 2019 |
## 📁 Datasets
- [Hyperspectral imaging dataset for laser thermal ablation monitoring in vital organs](https://doi.org/10.5281/zenodo.10444212)
- [Histological dataset for microvascular segmentation of tissue-engineered vascular grafts](https://doi.org/10.5281/zenodo.10838383)
- [Dataset for detection and segmentation of the radiographic features of pulmonary edema](https://doi.org/10.5281/zenodo.8383776)
- [Dataset for COVID-19 segmentation and severity scoring](https://data.mendeley.com/datasets/36fjrg9s69/1)
- [Chest X-ray dataset for lung segmentation](https://data.mendeley.com/datasets/8gf9vpkhgy/1)
- [Angiographic dataset for stenosis detection](https://data.mendeley.com/datasets/ydrm75xywg/2)
- [Aortography keypoint tracking for TAVI](https://data.mendeley.com/datasets/pgynfy766g/2)
## 📈 Stats
