Jack Breen

13 papers Journal 9Unranked 4
YearRankTypeTitle / Venue / Authors
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
Mitosis domain generalization in histopathology images - The MIDOG challenge.
Medical Image Anal.
Marc Aubreville, Nikolas Stathonikos, Christof A. Bertram, Robert Klopfleisch, Natalie D. ter Hoeve, Francesco Ciompi, Frauke Wilm, Christian Marzahl, Taryn A. Donovan, Andreas K. Maier, Jack Breen, Nishant Ravikumar, Youjin Chung, Jinah Park, Ramin Nateghi, Fattaneh Pourakpour, Rutger H. J. Fick, Saima Ben Hadj, Mostafa Jahanifar, Adam Shephard, Jakob Dexl, Thomas Wittenberg, Satoshi Kondo, Maxime W. Lafarge, Viktor H. Koelzer, Jingtang Liang, Yubo Wang, Xi Long, Jingxin Liu, Salar Razavi, April Khademi, Sen Yang, Xiyue Wang, Ramona Erber, Andrea Klang, Karoline Lipnik, Pompei Bolfa, Michael J. Dark, Gabriel Wasinger, Mitko Veta, Katharina Breininger
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
2022 J jnl
Mitosis domain generalization in histopathology images - The MIDOG challenge.
CoRR
Marc Aubreville, Nikolas Stathonikos, Christof A. Bertram, Robert Klopfleisch, Natalie D. ter Hoeve, Francesco Ciompi, Frauke Wilm, Christian Marzahl, Taryn A. Donovan, Andreas K. Maier, Jack Breen, Nishant Ravikumar, Youjin Chung, Jinah Park, Ramin Nateghi, Fattaneh Pourakpour, Rutger H. J. Fick, Saima Ben Hadj, Mostafa Jahanifar, Nasir M. Rajpoot, Jakob Dexl, Thomas Wittenberg, Satoshi Kondo, Maxime W. Lafarge, Viktor H. Koelzer, Jingtang Liang, Yubo Wang, Xi Long, Jingxin Liu, Salar Razavi, April Khademi, Sen Yang, Xiyue Wang, Mitko Veta, Katharina Breininger
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