Nicolas M. Orsi

According to our database, Nicolas M. Orsi authored at least 12 papers between 2015 and 2025.

Collaborative distances:

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

2025

H&E-based MSI/MMR testing with AI in colorectal cancer: a multi-centred blinded evaluation.

Cher Bass, Foivos Ntelemis, Julian Schmidt, Steffen Wolf, André Geraldes, Debapriya Mehrotra, Shikha Singhal, Narender Kumar, Angelica Marcia, Nicholas Bennett, Oscar Maiques, Mitchell Hyde, Bejal Mistry, Grace Rogerson, Michele Cummings, Clare Freer, Elizabeth Walsh, Manuel Salto-Tellez, Maurice B. Loughrey, In Hwa Um, David J. Harrison, Richard Clarkson, James Blackwood, J. Carl Barrett, Jakob Nikolas Kather, Nicolas M. Orsi, Pahini Pandya, Salim Arslan

npj Digit. Medicine, 2025

2024

Histopathology Foundation Models Enable Accurate Ovarian Cancer Subtype Classification.

Jack Breen, Katie Allen, Kieran Zucker, Lucy Godson, Nicolas M. Orsi, Nishant Ravikumar

CoRR, 2024

Multi-resolution Histopathology Patch Graphs for Ovarian Cancer Subtyping.

Jack Breen, Katie Allen, Kieran Zucker, Nicolas M. Orsi, Nishant Ravikumar

Proceedings of the Graphs in Biomedical Image Analysis - 6th International Workshop, 2024

Reducing Histopathology Slide Magnification Improves the Accuracy and Speed of Ovarian Cancer Subtyping.

Jack Breen, Nishant Ravikumar, Katie Allen, Kieran Zucker, Nicolas M. Orsi

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023

Predicting Ovarian Cancer Treatment Response in Histopathology using Hierarchical Vision Transformers and Multiple Instance Learning.

Jack Breen, Katie Allen, Kieran Zucker, Geoff Hall, Nishant Ravikumar, Nicolas M. Orsi

CoRR, 2023

Generative Adversarial Networks for Stain Normalisation in Histopathology.

Jack Breen, Kieran Zucker, Katie Allen, Nishant Ravikumar, Nicolas M. Orsi

CoRR, 2023

Artificial Intelligence in Ovarian Cancer Histopathology: A Systematic Review.

Jack Breen, Katie S. Allen, Kieran Zucker, Pratik Adusumilli, Andy Scarsbrook, Geoff Hall, Nicolas M. Orsi, Nishant Ravikumar

CoRR, 2023

Efficient subtyping of ovarian cancer histopathology whole slide images using active sampling in multiple instance learning.

Jack Breen, Katie Allen, Kieran Zucker, Geoff Hall, Nicolas M. Orsi, Nishant Ravikumar

Proceedings of the Medical Imaging 2023: Digital and Computational Pathology, 2023

2021

Assessing domain adaptation techniques for mitosis detection in multi-scanner breast cancer histopathology images.

Jack Breen, Kieran Zucker, Nicolas M. Orsi, Geoff Hall, Nishant Ravikumar

CoRR, 2021

Assessing Domain Adaptation Techniques for Mitosis Detection in Multi-scanner Breast Cancer Histopathology Images.

Jack Breen, Kieran Zucker, Nicolas M. Orsi, Nishant Ravikumar

Proceedings of the Biomedical Image Registration, Domain Generalisation and Out-of-Distribution Analysis - MICCAI 2021 Challenges: MIDOG 2021, MOOD 2021, and Learn2Reg 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021

2018

Identification of Non-invasive Cytokine Biomarkers for Polycystic Ovary Syndrome Using Supervised Machine Learning.

Daniela Silvia Perry, Jeremy Gunawardena, Nicolas M. Orsi

Proceedings of the 2018 ACM International Conference on Bioinformatics, 2018

2015

Bayesian modeling suggests that IL-12 (p40), IL-13 and MCP-1 drive murine cytokine networks <i>in vivo</i>.

Sarah L. Field, Tathagata Dasgupta, Michele Cummings, Richard S. Savage, Julius Adebayo, Hema McSara, Jeremy Gunawardena, Nicolas M. Orsi

BMC Syst. Biol., 2015