Alpha 2.0
Login Register
» Authors » Hugo Mark Horlings

Hugo Mark Horlings

Explore the profile of Hugo Mark Horlings including associated specialties, affiliations and a list of published articles. Areas
Snapshot
Articles 6
Citations 74
Followers 0
Related Specialties
Oncology
General Medicine
Biology
Top 10 Co-Authors
Yoni Schirris
Erik A Sistermans
Francoise Rothe
Duco H K Gaillard
Sven Rottenberg
Marcelo Sobral-Leite
Sabine Linn
Rianne van der Wiel
Zlatko Trajanoski
Constantijne H Mom
Published In
Breast Cancer Res
Cell Rep Med
Eur J Cancer
Int J Gynecol Cancer
Med Image Anal
Affiliations
Soon will be listed here.
Recent Articles
1.
PatchSorter: a high throughput deep learning digital pathology tool for object labeling
Walker C, Talawalla T, Toth R, Ambekar A, Rea K, Chamian O, et al.
NPJ Digit Med . 2024 Jun; 7(1):164. PMID: 38902336
The discovery of patterns associated with diagnosis, prognosis, and therapy response in digital pathology images often requires intractable labeling of large quantities of histological objects. Here we release an open-source...
2.
Evaluating the effectiveness of pre-operative diagnosis of ovarian cancer using minimally invasive liquid biopsies by combining serum human epididymis protein 4 and cell-free DNA in patients with an ovarian mass
Gaillard D, Lof P, Sistermans E, Mokveld T, Horlings H, Mom C, et al.
Int J Gynecol Cancer . 2024 Feb; 34(5):713-721. PMID: 38388177
Objective: To assess the feasibility of scalable, objective, and minimally invasive liquid biopsy-derived biomarkers such as cell-free DNA copy number profiles, human epididymis protein 4 (HE4), and cancer antigen 125...
3.
HRD-related morphology discovery in breast cancer by controlling for confounding factors
Schirris Y, Horlings H
Cell Rep Med . 2022 Dec; 3(12):100873. PMID: 36543118
Lazard et al. predict homologous recombination deficiency from hematoxylin and eosin-stained slides of breast cancer tissue using deep learning. By controlling for technical artifacts on a curated dataset, the model...
4.
DeepSMILE: Contrastive self-supervised pre-training benefits MSI and HRD classification directly from H&E whole-slide images in colorectal and breast cancer
Schirris Y, Gavves E, Nederlof I, Horlings H, Teuwen J
Med Image Anal . 2022 May; 79:102464. PMID: 35596966
We propose a Deep learning-based weak label learning method for analyzing whole slide images (WSIs) of Hematoxylin and Eosin (H&E) stained tumor tissue not requiring pixel-level or tile-level annotations using...
5.
Tumour-infiltrating lymphocytes (TILs) and BRCA-like status in stage III breast cancer patients randomised to adjuvant intensified platinum-based chemotherapy versus conventional chemotherapy
de Boo L, Cimino-Mathews A, Lubeck Y, Daletzakis A, Opdam M, Sanders J, et al.
Eur J Cancer . 2020 Jan; 127:240-250. PMID: 31956037
Background: The prognostic value of tumour-infiltrating lymphocytes (TILs) differs by breast cancer (BC) subtype. The aim of this study was to evaluate TILs in stage III BC in the context...
6.
Imprint of parity and age at first pregnancy on the genomic landscape of subsequent breast cancer
Nguyen B, Venet D, Lambertini M, Desmedt C, Salgado R, Horlings H, et al.
Breast Cancer Res . 2019 Feb; 21(1):25. PMID: 30770770
Background: Although parity and age at first pregnancy are among the most known extrinsic factors that modulate breast cancer risk, their impact on the biology of subsequent breast cancer has...