Kieran Zucker

Orcid: 0000-0003-4385-3153

According to our database1, Kieran Zucker authored at least 11 papers between 2019 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Predicting Ovarian Cancer Treatment Response in Histopathology using Hierarchical Vision Transformers and Multiple Instance Learning.
CoRR, 2023

Generative Adversarial Networks for Stain Normalisation in Histopathology.
CoRR, 2023

Artificial Intelligence in Ovarian Cancer Histopathology: A Systematic Review.
CoRR, 2023

Efficient subtyping of ovarian cancer histopathology whole slide images using active sampling in multiple instance learning.
CoRR, 2023

Learning disentangled representations for explainable chest x-ray classification using Dirichlet VAEs.
Proceedings of the Medical Imaging 2023: Image Processing, 2023

2021
Assessing domain adaptation techniques for mitosis detection in multi-scanner breast cancer histopathology images.
CoRR, 2021

Process Mining to Explore Variations in Endometrial Cancer Pathways from GP Referral to First Treatment.
Proceedings of the Public Health and Informatics, 2021

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

AuguR: A Scalable Open-Source Interactive Web Application for Routinely Collected Data.
Proceedings of the MEDINFO 2021: One World, One Health - Global Partnership for Digital Innovation, 2021

The Pitfalls of Using Open Data to Develop Deep Learning Solutions for COVID-19 Detection in Chest X-Rays.
Proceedings of the MEDINFO 2021: One World, One Health - Global Partnership for Digital Innovation, 2021

2019
A Multi-level Approach for Identifying Process Change in Cancer Pathways.
Proceedings of the Business Process Management Workshops, 2019


  Loading...