Hugo M. Horlings

According to our database, Hugo M. Horlings authored at least 10 papers between 2007 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

PatchSorter: A High Throughput Deep Learning Digital Pathology Tool for Object Labeling.

Cedric Walker, Tasneem Talawalla, Robert Toth, Akhil Ambekar, Kien Rea, Oswin Chamian, Fan Fan, Sabina Berezowska, Sven Rottenberg, Anant Madabhushi, Marie Maillard, Laura Barisoni, Hugo Mark Horlings, Andrew Janowczyk

CoRR, 2023

2022

DeepSMILE: Contrastive self-supervised pre-training benefits MSI and HRD classification directly from H&E whole-slide images in colorectal and breast cancer.

Yoni Schirris, Efstratios Gavves, Iris Nederlof, Hugo Mark Horlings, Jonas Teuwen

Medical Image Anal., 2022

DCIS AI-TIL: Ductal Carcinoma In Situ Tumour Infiltrating Lymphocyte Scoring Using Artificial Intelligence.

Yeman Brhane Hagos, Faranak Sobhani, Simon P. Castillo, Allison H. Hall, Khalid AbdulJabbar, Roberto Salgado, Bryan Harmon, Kristalyn Gallagher, Mark Kilgore, Lorraine M. King, Jeffrey R. Marks, Carlo C. Maley, Hugo M. Horlings, Robert B. West, Eun-Sil Shelley Hwang, Yinyin Yuan

Proceedings of the Artificial Intelligence over Infrared Images for Medical Applications and Medical Image Assisted Biomarker Discovery, 2022

Automated Dcis Identification From Multiplex Immunohistochemistry Using Generative Adversarial Networks.

Faranak Sobhani, Azam Hamidinekoo, Allison H. Hall, Lorraine M. King, Jeffrey R. Marks, Carlo C. Maley, Hugo M. Horlings, Eun-Sil Shelley Hwang, Yinyin Yuan

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

2021

WeakSTIL: Weak whole-slide image level stromal tumor infiltrating lymphocyte scores are all you need.

Yoni Schirris, Mendel Engelaer, Andreas Panteli, Hugo Mark Horlings, Efstratios Gavves, Jonas Teuwen

CoRR, 2021

DeepSMILE: Self-supervised heterogeneity-aware multiple instance learning for DNA damage response defect classification directly from H&E whole-slide images.

Yoni Schirris, Efstratios Gavves, Iris Nederlof, Hugo Mark Horlings, Jonas Teuwen

CoRR, 2021

Sparse-Shot Learning for Extremely Many Localisations.

Andreas Panteli, Jonas Teuwen, Hugo M. Horlings, Efstratios Gavves

CoRR, 2021

Sparse-shot Learning with Exclusive Cross-Entropy for Extremely Many Localisations.

Andreas Panteli, Jonas Teuwen, Hugo M. Horlings, Efstratios Gavves

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Automated Scoring of Nuclear Pleomorphism Spectrum with Pathologist-level Performance in Breast Cancer.

Caner Mercan, Maschenka Balkenhol, Roberto Salgado, Mark Sherman, Philippe Vielh, Willem Vreuls, António Polónia, Hugo M. Horlings, Wilko Weichert, Jodi M. Carter, Peter Bult, Matthias Christgen, Carsten Denkert, Koen van de Vijver, Jeroen van der Laak, Francesco Ciompi

CoRR, 2020

2007

SIRAC: Supervised Identification of Regions of Aberration in aCGH datasets.

Carmen Lai, Hugo M. Horlings, Marc J. van de Vijver, Eric H. van Beers, Petra M. Nederlof, Lodewyk F. A. Wessels, Marcel J. T. Reinders

BMC Bioinform., 2007