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Conference and Workshop Papers
- 2024
[c8]Jack Breen, Nishant Ravikumar, Katie Allen, Kieran Zucker, Nicolas M. Orsi:
Reducing Histopathology Slide Magnification Improves the Accuracy and Speed of Ovarian Cancer Subtyping. ISBI 2024: 1-5- 2023
- [c7]Jack Breen, Katie Allen, Kieran Zucker, Geoff Hall, Nicolas M. Orsi, Nishant Ravikumar:
Efficient subtyping of ovarian cancer histopathology whole slide images using active sampling in multiple instance learning. Digital and Computational Pathology 2023 - [c6]Rachael Harkness, Alejandro F. Frangi
, Kieran Zucker, Nishant Ravikumar:
Learning disentangled representations for explainable chest x-ray classification using Dirichlet VAEs. Image Processing 2023 - 2021
- [c5]Rachael Harkness, Geoff Hall, Alejandro F. Frangi, Nishant Ravikumar, Kieran Zucker:
The Pitfalls of Using Open Data to Develop Deep Learning Solutions for COVID-19 Detection in Chest X-Rays. MedInfo 2021: 679-683 - [c4]Kieran Zucker, Millie Wagstaff, Cathy Tomson, Roger Beecham, Geoff Hall:
AuguR: A Scalable Open-Source Interactive Web Application for Routinely Collected Data. MedInfo 2021: 744-747 - [c3]Jack Breen, Kieran Zucker, Nicolas M. Orsi, Nishant Ravikumar:
Assessing Domain Adaptation Techniques for Mitosis Detection in Multi-scanner Breast Cancer Histopathology Images. MIDOG/MOOD/Learn2Reg@MICCAI 2021: 14-22 - [c2]Angelina Prima Kurniati, Eric Rojas, Kieran Zucker, Geoff Hall, David C. Hogg, Owen A. Johnson:
Process Mining to Explore Variations in Endometrial Cancer Pathways from GP Referral to First Treatment. MIE 2021: 769-773 - 2019
- [c1]Angelina Prima Kurniati, Ciarán McInerney, Kieran Zucker, Geoff Hall, David C. Hogg, Owen A. Johnson:
A Multi-level Approach for Identifying Process Change in Cancer Pathways. Business Process Management Workshops 2019: 595-607
Informal and Other Publications
- 2024
- [i9]Jack Breen, Katie Allen, Kieran Zucker, Lucy Godson, Nicolas M. Orsi, Nishant Ravikumar:
Histopathology Foundation Models Enable Accurate Ovarian Cancer Subtype Classification. CoRR abs/2405.09990 (2024) - [i8]Jack Breen, Katie Allen, Kieran Zucker, Nicolas M. Orsi, Nishant Ravikumar:
Multi-Resolution Histopathology Patch Graphs for Ovarian Cancer Subtyping. CoRR abs/2407.18105 (2024) - 2023
- [i7]Rachael Harkness, Alejandro F. Frangi, Kieran Zucker, Nishant Ravikumar:
Learning disentangled representations for explainable chest X-ray classification using Dirichlet VAEs. CoRR abs/2302.02979 (2023) - [i6]Jack Breen, Katie S. Allen, Kieran Zucker, Geoff Hall, Nicolas M. Orsi, Nishant Ravikumar:
Efficient subtyping of ovarian cancer histopathology whole slide images using active sampling in multiple instance learning. CoRR abs/2302.08867 (2023) - [i5]Jack Breen, Katie S. Allen, Kieran Zucker, Pratik Adusumilli, Andy Scarsbrook, Geoff Hall, Nicolas M. Orsi, Nishant Ravikumar:
Artificial Intelligence in Ovarian Cancer Histopathology: A Systematic Review. CoRR abs/2303.18005 (2023) - [i4]Jack Breen, Kieran Zucker, Katie Allen, Nishant Ravikumar, Nicolas M. Orsi:
Generative Adversarial Networks for Stain Normalisation in Histopathology. CoRR abs/2308.02851 (2023) - [i3]Jack Breen, Katie Allen, Kieran Zucker, Geoff Hall, Nishant Ravikumar, Nicolas M. Orsi:
Predicting Ovarian Cancer Treatment Response in Histopathology using Hierarchical Vision Transformers and Multiple Instance Learning. CoRR abs/2310.12866 (2023) - 2021
- [i2]Jack Breen, Kieran Zucker, Nicolas M. Orsi, Geoff Hall, Nishant Ravikumar:
Assessing domain adaptation techniques for mitosis detection in multi-scanner breast cancer histopathology images. CoRR abs/2109.00869 (2021) - [i1]Rachael Harkness, Geoff Hall, Alejandro F. Frangi, Nishant Ravikumar, Kieran Zucker:
The pitfalls of using open data to develop deep learning solutions for COVID-19 detection in chest X-rays. CoRR abs/2109.08020 (2021)
Coauthor Index
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