Sean Walsh

Gaining benefits from adversity: the need for systems and frameworks to maximise the data obtained from wildfires

Thomas J. Duff, Derek M. Chong, Brett Cirulis, 2014 .

Blockchain for Privacy Preserving and Trustworthy Distributed Machine Learning in Multicentric Medical Imaging (C-DistriM)

Michel Dumontier, Visara Urovi, Philippe Lambin, 2020, IEEE Access.

Comparing geometrical plan robustness and volatility of TCP for the ROCOCO photon prostate dataset

Frank Verhaegen, Erik Roelofs, Sean Walsh, 2013 .

Systematic Review of Privacy-Preserving Distributed Machine Learning From Federated Databases in Health Care

Philippe Lambin, Sean Walsh, Fadila Zerka, 2020, JCO clinical cancer informatics.

Privacy preserving distributed learning classifiers - Sequential learning with small sets of data

Michel Dumontier, Visara Urovi, Philippe Lambin, 2021, Comput. Biol. Medicine.

Federated learning for multi-center imaging diagnostics: a simulation study in cardiovascular disease pdf

Karim Lekadir, Kaisar Kushibar, Sean Walsh, 2021, Scientific Reports.

Benefit of particle therapy in re-irradiation of head and neck patients. Results of a multicentric in silico ROCOCO trial.

Timothy Solberg, Esther G C Troost, Philippe Lambin, 2016, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

Big Data in radiation therapy: challenges and opportunities

Andre Dekker, Philippe Lambin, Sean Walsh, 2016, The British journal of radiology.

Modern clinical research: How rapid learning health care and cohort multiple randomised clinical trials complement traditional evidence based medicine

Frank Verhaegen, Frank Hoebers, Andre Dekker, 2015, Acta oncologica.