Yuri Tolkach
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Explore the profile of Yuri Tolkach including associated specialties, affiliations and a list of published articles.
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76
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812
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Recent Articles
1.
Degenhardt J, Tolkach Y, Amin M, Mosiello G, Baydar D, Cornec-Le Gall E, et al.
Nephrol Dial Transplant
. 2025 Feb;
PMID: 39979023
Hereditary leiomyomatosis and renal cell carcinoma (HLRCC) syndrome is caused by heterozygous germline variants in the fumarate hydratase (FH) gene [1,2]. Inheritance follows an autosomal dominant pattern. Loss of FH...
2.
Babendererde N, Fuchs M, Gonzalez C, Tolkach Y, Mukhopadhyay A
Sci Rep
. 2025 Feb;
15(1):5857.
PMID: 39966528
Federated and Continual Learning have emerged as promising paradigms for the privacy-aware use of Deep Learning in dynamic environments by addressing spatial and temporal constraints on data availability. However, Client...
3.
Carvalho R, Zander T, Barroso V, Bekisoglu A, Zerbe N, Klein S, et al.
Virchows Arch
. 2025 Feb;
PMID: 39948241
Tumor-stroma ratio (TSR quantification in primary colorectal cancer is an important prognostic parameter, with stroma-rich tumors considered to have an unfavorable prognosis. Earlier studies involved relevant region selection and TSR...
4.
Weng Z, Seper A, Pryalukhin A, Mairinger F, Wickenhauser C, Bauer M, et al.
Nat Commun
. 2024 Dec;
15(1):10685.
PMID: 39681557
Histological slides contain numerous artifacts that can significantly deteriorate the performance of image analysis algorithms. Here we develop the GrandQC tool for tissue and multi-class artifact segmentation. GrandQC allows for...
5.
Montezuma D, Oliveira S, Tolkach Y, Boor P, Haragan A, Carvalho R, et al.
Lab Invest
. 2024 Nov;
105(3):102203.
PMID: 39615882
Integrating digital pathology and artificial intelligence (AI) algorithms can potentially improve diagnostic practice and precision medicine. Developing reliable, generalizable, and comparable AI algorithms depends on access to meticulously annotated data....
6.
Kreten F, Buttner R, Peifer M, Harder C, Hillmer A, Abedpour N, et al.
Cell Syst
. 2024 Nov;
15(11):1061-1074.e7.
PMID: 39541986
Prostate cancer (PCA) exhibits high levels of intratumoral heterogeneity. In this study, we developed a mathematical model to study the growth and genetic evolution of PCA. We explored the possible...
7.
Kludt C, Wang Y, Ahmad W, Bychkov A, Fukuoka J, Gaisa N, et al.
Cell Rep Med
. 2024 Aug;
5(9):101697.
PMID: 39178857
Non-small cell lung cancer (NSCLC) is one of the most common malignant tumors. In this study, we develop a clinically useful computational pathology platform for NSCLC that can be a...
8.
Harder C, Pryalukhin A, Quaas A, Eich M, Tretiakova M, Klein S, et al.
Mod Pathol
. 2024 Jul;
37(10):100564.
PMID: 39029903
An optimal approach to magnetic resonance imaging fusion targeted prostate biopsy (PBx) remains unclear (number of cores, intercore distance, Gleason grading [GG] principle). The aim of this study was to...
9.
Jung J, Pisula J, Beyerlein X, Lukomski L, Knipper K, Abu Hejleh A, et al.
Cancers (Basel)
. 2024 Jul;
16(13).
PMID: 39001507
Background: The aim of this study was to establish a deep learning prediction model for neoadjuvant FLOT chemotherapy response. The neural network utilized clinical data and visual information from whole-slide...
10.
Weiten R, Storz E, Kessler C, Sperber L, Spohn H, Pfister D, et al.
BJU Int
. 2024 Jun;
134(4):615-621.
PMID: 38897814
Objective: To evaluate the potential utility of antibody-drug conjugates targeting trophoblast cell surface antigen-2 (TROP-2) in patients with primary penile squamous cell carcinoma (PSCC), patients with recurrence (REC cohort), and...