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Dmitry V. Dylov

Researcher / author (OpenAlex)
Person academia

Facts

2 properties
Instance of
human[2]
Affiliation
Skolkovo Institute of Science and Technology, Art Institute of Portland, American Xtal Technology (United States), Laboratoire d'Imagerie Biomédicale, Coletex (Russia), Artificial Intelligence Research Institute, Computational Physics (United States), AIRI - Artificial Intelligence Research Instituteas of 2026-09-23
where from?
Source
OpenAlex
Edition
20260923 · as of 2026-09-23
Bronze
not in the catalog
Transform
4ort-mint · openalex:20260923 · version not recorded
🔖 Identifiers · 2
ORCID iD
0000-0003-2251-3221
OpenAlex ID
A5031517308, A5140910162as of 2026-09-23
where from?
Source
OpenAlex
Edition
20260923 · as of 2026-09-23
Bronze
not in the catalog
Transform
4ort-mint · openalex:20260923 · version not recorded
📚 Sources · 1

Report an error or request removal Lineage (PROV-JSON)

📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Author of 17
Active Learning with Deep Pre-trained Models for Sequence Tagging of Clinical and Biomedical Texts, Anomaly Detection in Medical Imaging With Deep Perceptual Autoencoders, Avoiding Misdiagnosis of Parkinson’s Disease With the Use of Wearable Sensors and Artificial Intelligence, Blood vessel characterization using virtual 3D models and convolutional neural networks in fluorescence microscopy, Comparative Study of Wearable Sensors, Video, and Handwriting to Detect Parkinson’s Disease, Deep negative volume segmentation, Defining Optimal Exercises for Efficient Detection of Parkinson’s Disease Using Machine Learning and Wearable Sensors, Distinguishing Between Parkinson’s Disease and Essential Tremor Through Video Analytics Using Machine Learning: A Pilot Study +9 more
← Authored by 17
Active Learning with Deep Pre-trained Models for Sequence Tagging of Clinical and Biomedical Texts, Anomaly Detection in Medical Imaging With Deep Perceptual Autoencoders, Avoiding Misdiagnosis of Parkinson’s Disease With the Use of Wearable Sensors and Artificial Intelligence, Blood vessel characterization using virtual 3D models and convolutional neural networks in fluorescence microscopy, Comparative Study of Wearable Sensors, Video, and Handwriting to Detect Parkinson’s Disease, Deep negative volume segmentation, Defining Optimal Exercises for Efficient Detection of Parkinson’s Disease Using Machine Learning and Wearable Sensors, Distinguishing Between Parkinson’s Disease and Essential Tremor Through Video Analytics Using Machine Learning: A Pilot Study +9 more
Affiliated with 3
Skolkovo Institute of Science and Technology, Optech, GE Global Research
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Summary

Dmitry V. Dylov is a human[1].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). Dmitry V. Dylov. Retrieved October 25, 2026, from https://4ort.xyz/entity/dmitry-v-dylov
MLA “Dmitry V. Dylov.” 4ort.xyz Knowledge Graph, 4ort.xyz, 25 Oct. 2026, https://4ort.xyz/entity/dmitry-v-dylov.
BibTeX @misc{4ortxyz_dmitry-v-dylov_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Dmitry V. Dylov}}, year = {2026}, url = {https://4ort.xyz/entity/dmitry-v-dylov}, note = {Accessed: 2026-10-25}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Dmitry V. Dylov — https://4ort.xyz/entity/dmitry-v-dylov (retrieved 2026-10-25)

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