Leonard Y L Wee

19PUBLICATIONS
72CO-AUTHORS
Deep learningPredictive and prognostic markersComputational physiologyCancer geneticsQuery processing and optimisation
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Publications (19)

|May 01, 2026
Making head and neck cancer clinical data Findable-Accessible-Interoperable-Reusable to support multi-institutional collaboration and federated learning.

|May 01, 2026
Prognostic modeling in head and neck cancer: deep learning or handcrafted radiomics?

|May 01, 2026
Independent validation of the Mosamatic deep learning automated skeletal muscle and adipose tissue segmentation tool in an external Chinese cancer patient cohort.

|Mar 15, 2026
An international multi-centre study to develop and validate federated learning-based prognostic models for anal cancer.

Stelios Theophanous, Per-Ivar Lønne, Ananya Choudhury

|Mar 14, 2026
Decoding Uncertainty Quantification for Oncology-An Illustration Using Radiomics.

Florian van Daalen, Balu Krishna Sasidharan, C Praveenraj

|Jan 14, 2026
Knowledge Representation of a Multicenter Adolescent and Young Adult Cancer Infrastructure: Development of the STRONG AYA Knowledge Graph.

Joshi Hogenboom, Varsha Gouthamchand, Charlotte Cairns

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Frequent Collaborators

8 joint publications

Andre L A J Dekker

3 joint publications

Florian van Daalen

3 joint publications

Rianne Fijten

3 joint publications

Olga Husson