Lucas Farndale

According to our database, Lucas Farndale authored at least 6 papers between 2023 and 2025.

Collaborative distances:

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

2025

Towards deployment-centric multimodal AI beyond vision and language.

Xianyuan Liu, Jiayang Zhang, Shuo Zhou, Thijs L. van der Plas, Avish Vijayaraghavan, Anastasiia Grishina, Mengdie Zhuang, Daniel Schofield, Christopher Tomlinson, Yuhan Wang, Ruizhe Li, Louisa van Zeeland, Sina Tabakhi, Cyndie Demeocq, Xiang Li, Arunav Das, Orlando Timmerman, Thomas Baldwin-McDonald, Jinge Wu, Peizhen Bai, Zahraa Al Sahili, Omnia Alwazzan, Thao N. Do, Mohammod Naimul Islam Suvon, Angeline Wang, Lucia Cipolina-Kun, Luigi A. Moretti, Lucas Farndale, Nitisha Jain, Natalia Efremova, Yan Ge, Marta Varela, Hak-Keung Lam, Oya Çeliktutan, Ben R. Evans, Alejandro Coca-Castro, Honghan Wu, Zahraa S. Abdallah, Chen Chen, Valentin Danchev, Nataliya Tkachenko, Lei Lu, Tingting Zhu, Gregory G. Slabaugh, Roger K. Moore, William K. Cheung, Peter H. Charlton, Haiping Lu

CoRR, April, 2025

Divide and Conquer Self-Supervised Learning for High-Content Imaging.

Lucas Farndale, Paul Henderson, Edward W. Roberts, Ke Yuan

CoRR, March, 2025

TriDeNT : Triple deep network training for privileged knowledge distillation in histopathology.

Lucas Farndale, Robert H. Insall, Ke Yuan

Medical Image Anal., 2025

2024

Synthetic Privileged Information Enhances Medical Image Representation Learning.

Lucas Farndale, Chris Walsh, Robert H. Insall, Ke Yuan

CoRR, 2024

2023

More From Less: Self-Supervised Knowledge Distillation for Information-Sparse Histopathology Data.

Lucas Farndale, Robert H. Insall, Ke Yuan

CoRR, 2023

More from Less: Self-supervised Knowledge Distillation for Routine Histopathology Data.

Lucas Farndale, Robert H. Insall, Ke Yuan

Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023