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Article: Zhiznennyi put' Rudol'fa Virkhova kak otrazhenie razvitiya meditsiny XIX veka (k 200-letiyu so dnya rozhdeniya).

Loginov, V A

2021 Volume 83, Issue 5, Page(s) 58–66

Abstract: The article describes the life path of Rudolf Virchow (1821-1902), an outstanding German pathologist, one of the founders of scientific medicine, the creator of the scientific system known as cellular pathology, the author of numerous works on general ... ...

Title translation	Rudolf Virchow's life path of as a reflection of the development of medicine in the 19th century (on the occasion of 200th birth anniversary).
Abstract	The article describes the life path of Rudolf Virchow (1821-1902), an outstanding German pathologist, one of the founders of scientific medicine, the creator of the scientific system known as cellular pathology, the author of numerous works on general biology, anthropology, ethnography, and archaeology. It assesses the contribution of the scientist to the development of science and culture in the nineteenth century. A relationship is shown between the formation of a modern scientific approach in medical sciences and the multifaceted activities of Rudolf Virchow.
MeSH term(s)	Anniversaries and Special Events ; History, 19th Century ; History, 20th Century ; Humans ; Pathology
Language	Russian
Publishing date	2021-10-05
Publishing country	Russia (Federation)
Document type	Historical Article ; Journal Article
ZDB-ID	127285-8
ISSN	0004-1955
ISSN	0004-1955
DOI	10.17116/patol20218305158
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Book ; Online: Why You Should Try the Real Data for the Scene Text Recognition

Loginov, Vladimir

2021

Abstract: Recent works in the text recognition area have pushed forward the recognition results to the new horizons. But for a long time a lack of large human-labeled natural text recognition datasets has been forcing researchers to use synthetic data for training ...

Abstract	Recent works in the text recognition area have pushed forward the recognition results to the new horizons. But for a long time a lack of large human-labeled natural text recognition datasets has been forcing researchers to use synthetic data for training text recognition models. Even though synthetic datasets are very large (MJSynth and SynthTest, two most famous synthetic datasets, have several million images each), their diversity could be insufficient, compared to natural datasets like ICDAR and others. Fortunately, the recently released text-recognition annotation for OpenImages V5 dataset has comparable with synthetic dataset number of instances and more diverse examples. We have used this annotation with a Text Recognition head architecture from the Yet Another Mask Text Spotter and got comparable to the SOTA results. On some datasets we have even outperformed previous SOTA models. In this paper we also introduce a text recognition model. The model's code is available.
Keywords	Computer Science - Computer Vision and Pattern Recognition
Subject code	006
Publishing date	2021-07-29
Publishing country	us
Document type	Book ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article: Aleksei Ivanovich Polunin (1820—1888). K 200-letiyu so dnya rozhdeniya.

Loginov, V A

Arkhiv patologii

2020 Volume 82, Issue 5, Page(s) 79–83

Abstract: The paper describes the life of A.I. Polunin (1820-1888), the first professor of an independent department of pathological anatomy in Russia, which was founded at Imperial Moscow University in 1849. It analyzes his doctoral dissertation on cholera and ... ...

Title translation	Alexey Ivanovich Polunin (1820-1888). On the occasion of the 200th birth anniversary.
Abstract	The paper describes the life of A.I. Polunin (1820-1888), the first professor of an independent department of pathological anatomy in Russia, which was founded at Imperial Moscow University in 1849. It analyzes his doctoral dissertation on cholera and also gives the reviews of his key works. It is noted that the activities of A.I. Polunin as a scientist were greatly influenced by the humoral theory of pathology by Karl von Rokitansky (1804-1878), the doctrine of blood «crases», and by the works of representatives of the Viennese School of physicians who upheld the clinical and anatomical approach in medicine. At the same time, Professor A.I. Polunin is noted to be the first to familiarize Russian physicians with the theory of cellular pathology by R. Virchow (1821-1902).
MeSH term(s)	Anniversaries and Special Events ; History, 19th Century ; History, 20th Century ; Moscow ; Russia
Language	Russian
Publishing date	2020-10-01
Publishing country	Russia (Federation)
Document type	Historical Article ; Journal Article
ZDB-ID	127285-8
ISSN	0004-1955
ISSN	0004-1955
DOI	10.17116/patol20208205179
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Article: Prediktivnaya znachimost' geneticheskogo analiza razvitiya sindroma «sukhogo glaza» razlichnogo geneza.

Safonova, T N / Zaitseva, G V / Loginov, V I / Burdennyy, A M

Vestnik oftalmologii

2024 Volume 139, Issue 6, Page(s) 13–18

Abstract: One of the etiological causes of dry eye disease (DED) is systemic autoimmune diseases (AID): primary Sjögren's syndrome (PSS), rheumatoid arthritis (RA); their manifestation may begin with ophthalmic symptoms. The relationship of PSS and RA with genetic ...

Title translation	Predictive significance of genetic analysis of the development of dry eye disease of different origin.
Abstract	One of the etiological causes of dry eye disease (DED) is systemic autoimmune diseases (AID): primary Sjögren's syndrome (PSS), rheumatoid arthritis (RA); their manifestation may begin with ophthalmic symptoms. The relationship of PSS and RA with genetic factors is proven. The contribution of polymorphic markers of the genes Purpose: The aim of the study was to determine the prognostic significance of a panel of polymorphic gene markers in the development of dry eye syndrome in patients with primary Sjögren's syndrome and rheumatoid arthritis over a five-year follow-up period. Material and methods: Patients with a verified diagnosis of PSS and RA without signs of DED were examined ( Results: Dry eye disease had developed in groups of patients with AID with predisposing genotypes of polymorphic markers of the genes Conclusion: Genetic research methods are essential for minimally invasive early diagnosis of dry eye disease, and can subsequently become the basis for a personalized approach to its treatment.
MeSH term(s)	Humans ; Sjogren's Syndrome/genetics ; Dry Eye Syndromes/etiology ; Dry Eye Syndromes/genetics ; Arthritis, Rheumatoid/diagnosis ; Arthritis, Rheumatoid/genetics ; Genotype ; Prognosis ; Protein Tyrosine Phosphatase, Non-Receptor Type 22/genetics
Chemical Substances	PTPN22 protein, human (EC 3.1.3.48) ; Protein Tyrosine Phosphatase, Non-Receptor Type 22 (EC 3.1.3.48)
Language	Russian
Publishing date	2024-01-18
Publishing country	Russia (Federation)
Document type	English Abstract ; Journal Article
ZDB-ID	962921-x
ISSN	0042-465X
ISSN	0042-465X
DOI	10.17116/oftalma202313906113
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Book ; Online: Face Recognition Using Synthetic Face Data

Granoviter, Omer / Gruzdev, Alexey / Loginov, Vladimir / Kogan, Max / Zvitia, Orly

2023

Abstract: In the field of deep learning applied to face recognition, securing large-scale, high-quality datasets is vital for attaining precise and reliable results. However, amassing significant volumes of high-quality real data faces hurdles such as time ... ...

Abstract	In the field of deep learning applied to face recognition, securing large-scale, high-quality datasets is vital for attaining precise and reliable results. However, amassing significant volumes of high-quality real data faces hurdles such as time limitations, financial burdens, and privacy issues. Furthermore, prevalent datasets are often impaired by racial biases and annotation inaccuracies. In this paper, we underscore the promising application of synthetic data, generated through rendering digital faces via our computer graphics pipeline, in achieving competitive results with the state-of-the-art on synthetic data across multiple benchmark datasets. By finetuning the model,we obtain results that rival those achieved when training with hundreds of thousands of real images (98.7% on LFW [1]). We further investigate the contribution of adding intra-class variance factors (e.g., makeup, accessories, haircuts) on model performance. Finally, we reveal the sensitivity of pre-trained face recognition models to alternating specific parts of the face by leveraging the granular control capability in our platform.
Keywords	Computer Science - Computer Vision and Pattern Recognition
Subject code	006
Publishing date	2023-05-17
Publishing country	us
Document type	Book ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article: [The fate of professor Ivan Fedorovich Klein (on the occasion of the 175th anniversary of his birth)].

Loginov, V A

Arkhiv patologii

2013 Volume 75, Issue 1, Page(s) 58–61

MeSH term(s)	Anniversaries and Special Events ; Education, Medical, Graduate/history ; History, 19th Century ; History, 20th Century ; Humans ; Pathology, Clinical/history ; Portraits as Topic ; Russia (Pre-1917)
Language	Russian
Publishing date	2013-01
Publishing country	Russia (Federation)
Document type	Biography ; Historical Article ; Journal Article
ZDB-ID	127285-8
ISSN	0004-1955
ISSN	0004-1955
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: [The significance of Mikhail Nikiforovich Nikiforov's activities (1858--1915) for Moscow University (on the occasion of the 155th anniversary of his birth)].

Loginov, V A

Arkhiv patologii

2013 Volume 75, Issue 6, Page(s) 59–61

MeSH term(s)	History of Medicine ; History, 19th Century ; History, 20th Century ; Humans ; Moscow ; Russia ; Universities
Language	Russian
Publishing date	2013-11
Publishing country	Russia (Federation)
Document type	Biography ; Historical Article ; Journal Article
ZDB-ID	127285-8
ISSN	0004-1955
ISSN	0004-1955
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Article: Assotsiatsiya polimorfnykh markerov rs7947461 gena TRIM21 i rs33996649 gena PTPN22 s riskom razvitiya sindroma sukhogo glaza ekzogennoi etiologii.

Safonova, T N / Zaitseva, G V / Burdennyy, A M / Loginov, V I

Vestnik oftalmologii

2021 Volume 137, Issue 5. Vyp. 2, Page(s) 217–223

Abstract: In this age of technological advancement, an increasing number of people is being exposed to external risk factors of damaging their ocular surface (wearing contact lenses, electromagnetic radiation from computers, mobile devices, etc.). However, the ... ...

Title translation	Association of polymorphic markers rs7947461 of the TRIM21 gene and rs33996649 of the PTPN22 gene with the risk of developing exogenous dry eye syndrome.
Abstract	In this age of technological advancement, an increasing number of people is being exposed to external risk factors of damaging their ocular surface (wearing contact lenses, electromagnetic radiation from computers, mobile devices, etc.). However, the presence of external factors does not lead to a 100% risk of developing the dry eye disease (DED). The trigger mechanism in the development of autoimmune lesions of the ocular environment in some systemic diseases is known to be associated with molecular genetic factors. The search for molecular genetic disorders is based on the analysis of polymorphic markers of a number of genes responsible for the state of the eye surface. Purpose: To study the relationship of polymorphic markers rs7947461 of the Material and methods: The study included 57 people with exogenous risk factors for DED development. The control group included volunteers without a history of ophthalmic pathologies ( Results: In the course of the study, 31 patients of the main group were diagnosed with DED and separated into the 1st subgroup; DED diagnosis was not confirmed in 26 patients, who were put into the 2nd subgroup. The 1st subgroup showed a significant increase in the frequency of predisposing genotypes of the Conclusion: The revealed association of polymorphic markers rs7947461 of the
MeSH term(s)	Biomarkers ; Contact Lenses ; Dry Eye Syndromes/etiology ; Dry Eye Syndromes/genetics ; Genotype ; Humans ; Protein Tyrosine Phosphatase, Non-Receptor Type 22/genetics ; Ribonucleoproteins/genetics ; Risk Factors
Chemical Substances	Biomarkers ; Ribonucleoproteins ; SS-A antigen ; PTPN22 protein, human (EC 3.1.3.48) ; Protein Tyrosine Phosphatase, Non-Receptor Type 22 (EC 3.1.3.48)
Language	Russian
Publishing date	2021-09-07
Publishing country	Russia (Federation)
Document type	Journal Article
ZDB-ID	962921-x
ISSN	0042-465X
ISSN	0042-465X
DOI	10.17116/oftalma2021137052217
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Article ; Online: DNA Methylation of a Group of Long Non-Coding RNA Genes at Different Stages of Ovarian Cancer Dissemination.

Burdennyy, A M / Filippova, E A / Lukina, S S / Ivanova, N A / Pronina, I V / Loginov, V I / Kazubskaya, T P / Kushlinskii, N E / Braga, E A

Bulletin of experimental biology and medicine

2024 Volume 176, Issue 4, Page(s) 495–500

Abstract: There are three types of metastases in ovarian cancer: lymphogenous, hematogenous, and peritoneal. Dissemination of the tumor in the peritoneum is directly related with the development of ascites and a poor prognosis. The purpose of this study is to ... ...

Abstract	There are three types of metastases in ovarian cancer: lymphogenous, hematogenous, and peritoneal. Dissemination of the tumor in the peritoneum is directly related with the development of ascites and a poor prognosis. The purpose of this study is to determine changes in the methylation level of a group of long non-coding RNA (lncRNA) genes at different stages of ovarian cancer progression. The methylation level of 7 lncRNA genes (LINC00472, LINC00886, MAFG-DT, SNHG1, SNHG6, TP53TG1, and TUG1) was studied by quantitative methyl-specific PCR in 93 samples of ovarian tumors and 75 paired samples of histologically normal tissue, as well as in 29 peritoneal macroscopic metastases. Using the nonparametric Mann-Whitney test, a significant (p<0.001) increase in the level of methylation of the LINC00886, SNHG1, SNHG6, and TUG1 genes in the tumor tissue was shown. For the LINC00472, LINC00886, and SNHG6 genes, a significant relationship was found with the clinical stage (p≤0.001), as well as with the appearance of metastases for the LINC00472 (p<0.001) and SNHG6 (p=0.005) genes. There was a significant increase in the level of methylation of MAFG-DT and TP53TG1 (p<0.001) genes, as well as a decrease in LINC00886 (p=0.003) in peritoneal metastases relative to the primary focus. Methylation of the LINC00472 and SNHG6 genes can be considered as a factor in initiating ovarian cancer metastasis, and methylation of the LINC00886, MAFG-DT, and TP53TG1 genes as a colonization factor for metastases in the peritoneum. Thus, a relationship between methylation of a group of lncRNA genes at different stages of ovarian cancer dissemination was shown, which is important for understanding the mechanisms of these processes and for developing innovative approaches to ovarian cancer therapy.
MeSH term(s)	Humans ; Female ; DNA Methylation/genetics ; RNA, Long Noncoding/genetics ; RNA, Long Noncoding/metabolism ; Ovarian Neoplasms/genetics ; Ovarian Neoplasms/pathology ; Gene Expression Regulation, Neoplastic ; Cell Line, Tumor ; Cell Proliferation/genetics
Chemical Substances	RNA, Long Noncoding
Language	English
Publishing date	2024-03-16
Publishing country	United States
Document type	Journal Article
ZDB-ID	390407-6
ISSN	1573-8221 ; 0007-4888 ; 0365-9615
ISSN (online)	1573-8221
ISSN	0007-4888 ; 0365-9615
DOI	10.1007/s10517-024-06054-7
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Book ; Online: Knowing the Distance

Friedman, Eli / Lehr, Assaf / Gruzdev, Alexey / Loginov, Vladimir / Kogan, Max / Rubin, Moran / Zvitia, Orly

Understanding the Gap Between Synthetic and Real Data For Face Parsing

2023

Abstract: The use of synthetic data for training computer vision algorithms has become increasingly popular due to its cost-effectiveness, scalability, and ability to provide accurate multi-modality labels. Although recent studies have demonstrated impressive ... ...

Abstract	The use of synthetic data for training computer vision algorithms has become increasingly popular due to its cost-effectiveness, scalability, and ability to provide accurate multi-modality labels. Although recent studies have demonstrated impressive results when training networks solely on synthetic data, there remains a performance gap between synthetic and real data that is commonly attributed to lack of photorealism. The aim of this study is to investigate the gap in greater detail for the face parsing task. We differentiate between three types of gaps: distribution gap, label gap, and photorealism gap. Our findings show that the distribution gap is the largest contributor to the performance gap, accounting for over 50% of the gap. By addressing this gap and accounting for the labels gap, we demonstrate that a model trained on synthetic data achieves comparable results to one trained on a similar amount of real data. This suggests that synthetic data is a viable alternative to real data, especially when real data is limited or difficult to obtain. Our study highlights the importance of content diversity in synthetic datasets and challenges the notion that the photorealism gap is the most critical factor affecting the performance of computer vision models trained on synthetic data.
Keywords	Computer Science - Computer Vision and Pattern Recognition ; Computer Science - Machine Learning
Subject code	006
Publishing date	2023-03-27
Publishing country	us
Document type	Book ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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