Nicolas M. Orsi

14 papers Journal 9Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
H&E-based MSI/MMR testing with AI in colorectal cancer: a multi-centred blinded evaluation.
npj Digit. Medicine
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
2024 J jnl
Histopathology Foundation Models Enable Accurate Ovarian Cancer Subtype Classification.
CoRR
Jack Breen, Katie Allen, Kieran Zucker, Lucy Godson, Nicolas M. Orsi, Nishant Ravikumar
2024 J jnl
Multi-Resolution Histopathology Patch Graphs for Ovarian Cancer Subtyping.
CoRR
Jack Breen, Katie Allen, Kieran Zucker, Nicolas M. Orsi, Nishant Ravikumar
2024 — conf
Multi-resolution Histopathology Patch Graphs for Ovarian Cancer Subtyping.
GRAIL@MICCAI
Jack Breen, Katie Allen, Kieran Zucker, Nicolas M. Orsi, Nishant Ravikumar
2024 — conf
Reducing Histopathology Slide Magnification Improves the Accuracy and Speed of Ovarian Cancer Subtyping.
ISBI
Jack Breen, Nishant Ravikumar, Katie Allen, Kieran Zucker, Nicolas M. Orsi
2023 J jnl
Artificial Intelligence in Ovarian Cancer Histopathology: A Systematic Review.
CoRR
Jack Breen, Katie S. Allen, Kieran Zucker, Pratik Adusumilli, Andy Scarsbrook, Geoff Hall, Nicolas M. Orsi, Nishant Ravikumar
2023 — conf
Efficient subtyping of ovarian cancer histopathology whole slide images using active sampling in multiple instance learning.
Digital and Computational Pathology
Jack Breen, Katie Allen, Kieran Zucker, Geoff Hall, Nicolas M. Orsi, Nishant Ravikumar
2023 J jnl
Efficient subtyping of ovarian cancer histopathology whole slide images using active sampling in multiple instance learning.
CoRR
Jack Breen, Katie S. Allen, Kieran Zucker, Geoff Hall, Nicolas M. Orsi, Nishant Ravikumar
2023 J jnl
Generative Adversarial Networks for Stain Normalisation in Histopathology.
CoRR
Jack Breen, Kieran Zucker, Katie Allen, Nishant Ravikumar, Nicolas M. Orsi
2023 J jnl
Predicting Ovarian Cancer Treatment Response in Histopathology using Hierarchical Vision Transformers and Multiple Instance Learning.
CoRR
Jack Breen, Katie Allen, Kieran Zucker, Geoff Hall, Nishant Ravikumar, Nicolas M. Orsi
2021 — conf
Assessing Domain Adaptation Techniques for Mitosis Detection in Multi-scanner Breast Cancer Histopathology Images.
MIDOG/MOOD/Learn2Reg@MICCAI
Jack Breen, Kieran Zucker, Nicolas M. Orsi, Nishant Ravikumar
2021 J jnl
Assessing domain adaptation techniques for mitosis detection in multi-scanner breast cancer histopathology images.
CoRR
Jack Breen, Kieran Zucker, Nicolas M. Orsi, Geoff Hall, Nishant Ravikumar
2018 — conf
Identification of Non-invasive Cytokine Biomarkers for Polycystic Ovary Syndrome Using Supervised Machine Learning.
BCB
Daniela Silvia Perry, Jeremy Gunawardena, Nicolas M. Orsi
2015 J jnl
Bayesian modeling suggests that IL-12 (p40), IL-13 and MCP-1 drive murine cytokine networks
BMC Syst. Biol.
Sarah L. Field, Tathagata Dasgupta, Michele Cummings, Richard S. Savage, Julius Adebayo, Hema McSara, Jeremy Gunawardena, Nicolas M. Orsi