Viktor H Koelzer
Overview
Explore the profile of Viktor H Koelzer including associated specialties, affiliations and a list of published articles.
Author names and details appear as published. Due to indexing inconsistencies, multiple individuals may share a name, and a single author may have variations. MedLuna displays this data as publicly available, without modification or verification
Snapshot
Snapshot
Articles
97
Citations
2994
Followers
0
Related Specialties
Related Specialties
Top 10 Co-Authors
Top 10 Co-Authors
Published In
Published In
Affiliations
Affiliations
Soon will be listed here.
Recent Articles
11.
Fan F, Martinez G, DeSilvio T, Shin J, Chen Y, Jacobs J, et al.
Npj Imaging
. 2024 Jul;
2(1):15.
PMID: 38962496
Batch effects (BEs) refer to systematic technical differences in data collection unrelated to biological variations whose noise is shown to negatively impact machine learning (ML) model generalizability. Here we release...
12.
Author Correction: Prediction of recurrence risk in endometrial cancer with multimodal deep learning
Volinsky-Fremond S, Horeweg N, Andani S, Barkey Wolf J, Lafarge M, de Kroon C, et al.
Nat Med
. 2024 Jul;
30(7):2092.
PMID: 38951637
No abstract available.
13.
Malla S, Byrne R, Lafarge M, Corry S, Fisher N, Tsantoulis P, et al.
Nat Genet
. 2024 Jun;
56(6):1321.
PMID: 38831011
No abstract available.
14.
Volinsky-Fremond S, Horeweg N, Andani S, Barkey Wolf J, Lafarge M, de Kroon C, et al.
Nat Med
. 2024 May;
30(7):1962-1973.
PMID: 38789645
Predicting distant recurrence of endometrial cancer (EC) is crucial for personalized adjuvant treatment. The current gold standard of combined pathological and molecular profiling is costly, hampering implementation. Here we developed...
15.
Wakkerman F, Wu J, Putter H, Jurgenliemk-Schulz I, Jobsen J, Lutgens L, et al.
Lancet Oncol
. 2024 May;
25(6):779-789.
PMID: 38701815
Background: Numerous studies have shown that older women with endometrial cancer have a higher risk of recurrence and cancer-related death. However, it remains unclear whether older age is a causal...
16.
Lafarge M, Domingo E, Sirinukunwattana K, Wood R, Samuel L, Murray G, et al.
NPJ Precis Oncol
. 2024 Apr;
8(1):89.
PMID: 38594327
The development of deep learning (DL) models to predict the consensus molecular subtypes (CMS) from histopathology images (imCMS) is a promising and cost-effective strategy to support patient stratification. Here, we...
17.
Aubreville M, Stathonikos N, Donovan T, Klopfleisch R, Ammeling J, Ganz J, et al.
Med Image Anal
. 2024 Mar;
94:103155.
PMID: 38537415
Recognition of mitotic figures in histologic tumor specimens is highly relevant to patient outcome assessment. This task is challenging for algorithms and human experts alike, with deterioration of algorithmic performance...
18.
Malla S, Byrne R, Lafarge M, Corry S, Fisher N, Tsantoulis P, et al.
Nat Genet
. 2024 Feb;
56(3):458-472.
PMID: 38351382
Molecular stratification using gene-level transcriptional data has identified subtypes with distinctive genotypic and phenotypic traits, as exemplified by the consensus molecular subtypes (CMS) in colorectal cancer (CRC). Here, rather than...
19.
Wu J, Koelzer V
Bioinformatics
. 2024 Feb;
40(3).
PMID: 38341653
Motivation: Generative Adversarial Nets (GAN) achieve impressive performance for text-guided editing of natural images. However, a comparable utility of GAN remains understudied for spatial transcriptomics (ST) technologies with matched gene...
20.
Frei A, McGuigan A, Sinha R, Jabbar F, Gneo L, Tomasevic T, et al.
Lancet Oncol
. 2024 Feb;
25(2):198-211.
PMID: 38301689
Background: Tumour-infiltrating CD8 cytotoxic T cells confer favourable prognosis in colorectal cancer. The added prognostic value of other infiltrating immune cells is unclear and so we sought to investigate their...