Jeremy Parry

According to our database, Jeremy Parry authored at least 5 papers between 2019 and 2023.

Collaborative distances:

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

2023

The use of generative adversarial networks for multi-site one-class follicular lymphoma classification.

Upeka V. Somaratne, Kok Wai Wong, Jeremy Parry, Hamid Laga

Neural Comput. Appl., October, 2023

2022

Federated Learning for Digital Pathology: A Pilot Study.

Geetu Mol Babu, Kok Wai Wong, Jeremy Parry

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 26th International Conference KES-2022, 2022

2020

RCNN for Region of Interest Detection in Whole Slide Images.

Anupiya Nugaliyadde, Kok Wai Wong, Jeremy Parry, Ferdous Sohel, Hamid Laga, Upeka V. Somaratne, Chris Yeomans, Orchid Foster

Proceedings of the Neural Information Processing - 27th International Conference, 2020

2019

Learning to detect lymphocytes in immunohistochemistry with deep learning.

Zaneta Swiderska-Chadaj, Hans Pinckaers, Mart van Rijthoven, Maschenka Balkenhol, Margarita Melnikova, Oscar Geessink, Quirine Manson, Mark Sherman, António Polónia, Jeremy Parry, Mustapha Abubakar, Geert Litjens, Jeroen van der Laak, Francesco Ciompi

Medical Image Anal., 2019

Improving Follicular Lymphoma Identification using the Class of Interest for Transfer Learning.

Upeka Somaratne, Kok Wai Wong, Jeremy Parry, Ferdous Sohel, Xuequn Wang, Hamid Laga

Proceedings of the 2019 Digital Image Computing: Techniques and Applications, 2019