Hugo M. Horlings

15 papers A* 1Journal 9Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
ECTIL: Label-efficient Computational Tumour Infiltrating Lymphocyte (TIL) assessment in breast cancer: Multicentre validation in 2,340 patients with breast cancer.
CoRR
Yoni Schirris, Rosie Voorthuis, Mark Opdam, Marte Liefaard, Gabe S. Sonke, Gwen Dackus, Vincent de Jong, Yuwei Wang, Annelot Van Rossum, Tessa G. Steenbruggen, Lars C. Steggink, Liesbeth G. E. de Vries, Marc J. van de Vijver, Roberto Salgado, Efstratios Gavves, Paul J. van Diest, Sabine C. Linn, Jonas Teuwen, Renee Menezes, Marleen Kok, Hugo M. Horlings
2025 J jnl
Foundation Models in Medical Imaging - A Review and Outlook.
CoRR
Vivien van Veldhuizen, Vanessa Botha, Chunyao Lu, Melis Erdal Cesur, Kevin Groot Lipman, Edwin D. de Jong, Hugo M. Horlings, Clarisa I. Sánchez, Cees G. M. Snoek, Lodewyk F. A. Wessels, Ritse Mann, Eric Marcus, Jonas Teuwen
2025 — conf
From Explainable to Explained AI: Ideas for Falsifying and Quantifying Explanations.
iMIMIC@MICCAI
Yoni Schirris, Eric Marcus, Jonas Teuwen, Hugo M. Horlings, Efstratios Gavves
2025 J jnl
From Explainable to Explained AI: Ideas for Falsifying and Quantifying Explanations.
CoRR
Yoni Schirris, Eric Marcus, Jonas Teuwen, Hugo M. Horlings, Efstratios Gavves
2025 — conf
GANs vs. Diffusion Models for Virtual Staining with the HER2match Dataset.
DGM4MICCAI@MICCAI
Pascal Klöckner, José Teixeira, Diana Montezuma, Jaime S. Cardoso, Hugo M. Horlings, Sara Pires de Oliveira
2025 J jnl
GANs vs. Diffusion Models for virtual staining with the HER2match dataset.
CoRR
Pascal Klöckner, José Teixeira, Diana Montezuma, Jaime S. Cardoso, Hugo M. Horlings, Sara Pires de Oliveira
2025 J jnl
H&E to IHC virtual staining methods in breast cancer: an overview and benchmarking.
npj Digit. Medicine
Pascal Klöckner, José Teixeira, Diana Montezuma, João Fraga, Hugo M. Horlings, Jaime S. Cardoso, Sara Pires de Oliveira
2025 — conf
Leveraging Adversarial Learning for Pathological Fidelity in Virtual Staining.
DGM4MICCAI@MICCAI
José Teixeira, Pascal Klöckner, Diana Montezuma, Melis Erdal Cesur, João Fraga, Hugo M. Horlings, Jaime S. Cardoso, Sara Pires de Oliveira
2025 J jnl
Leveraging Adversarial Learning for Pathological Fidelity in Virtual Staining.
CoRR
José Teixeira, Pascal Klöckner, Diana Montezuma, Melis Erdal Cesur, João Fraga, Hugo M. Horlings, Jaime S. Cardoso, Sara Pires de Oliveira
2022 — conf
Automated Dcis Identification From Multiplex Immunohistochemistry Using Generative Adversarial Networks.
ISBI
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
2022 — conf
DCIS AI-TIL: Ductal Carcinoma In Situ Tumour Infiltrating Lymphocyte Scoring Using Artificial Intelligence.
AIIIMA/MIABID@MICCAI
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
2021 J jnl
Sparse-Shot Learning for Extremely Many Localisations.
CoRR
Andreas Panteli, Jonas Teuwen, Hugo M. Horlings, Efstratios Gavves
2021 A* conf
Sparse-shot Learning with Exclusive Cross-Entropy for Extremely Many Localisations.
ICCV
Andreas Panteli, Jonas Teuwen, Hugo M. Horlings, Efstratios Gavves
2020 J jnl
Automated Scoring of Nuclear Pleomorphism Spectrum with Pathologist-level Performance in Breast Cancer.
CoRR
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
2007 J jnl
SIRAC: Supervised Identification of Regions of Aberration in aCGH datasets.
BMC Bioinform.
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