A Validated Multiscale In-Silico Model for Mechano-sensitive Tumour Angiogenesis and Growth. - Vasileios Vavourakis; Peter A. Wijeratne; Rebecca Shipley; Marilena Loizidou; Triantafyllos Stylianopoulos; David J. Hawkes (PLoS Comput. Biol., 2017)

In-silico dynamic analysis of cytotoxic drug administration to solid tumours: Effect of binding affinity and vessel permeability. - Vasileios Vavourakis; Triantafyllos Stylianopoulos; Peter A. Wijeratne (PLoS Comput. Biol., 2018)

Correction: In-silico dynamic analysis of cytotoxic drug administration to solid tumours: Effect of binding affinity and vessel permeability. - Vasileios Vavourakis; Triantafyllos Stylianopoulos; Peter A. Wijeratne (PLoS Comput. Biol., 2019)

Learning transition times in event sequences: the Event-Based Hidden Markov Model of disease progression. - Peter A. Wijeratne; Daniel C. Alexander (CoRR, 2020)

Learning Transition Times in Event Sequences: The Temporal Event-Based Model of Disease Progression. - Peter A. Wijeratne; Daniel C. Alexander (IPMI, 2021)

Evaluation of automated airway morphological quantification for assessing fibrosing lung disease. - Ashkan Pakzad; Wing Keung Cheung; Kin Quan; Nesrin Mogulkoc; Coline H. M. Van Moorsel; Brian J. Bartholmai; Hendrik W. Van Es; Alper Ezircan; Frouke Van Beek; Marcel Veltkamp; Ronald A. Karwoski; Tobias Peikert; et al. (CoRR, 2021)

A Multi-Study Model-Based Evaluation of the Sequence of Imaging and Clinical Biomarker Changes in Huntington's Disease. - Peter A. Wijeratne; Eileanoir B. Johnson; Sarah Gregory; Nellie Georgiou-Karistianis; Jane S. Paulsen; Rachael I. Scahill; Sarah J. Tabrizi; Daniel C. Alexander (Frontiers Big Data, 2021)

Ordinal SuStaIn: Subtype and Stage Inference for Clinical Scores, Visual Ratings, and Other Ordinal Data. - Alexandra L. Young; Jacob W. Vogel; Leon M. Aksman; Peter A. Wijeratne; Arman Eshaghi; Neil P. Oxtoby; Steven C. R. Williams; Daniel C. Alexander (Frontiers Artif. Intell., 2021)

pySuStaIn: A Python implementation of the Subtype and Stage Inference algorithm. - Leon M. Aksman; Peter A. Wijeratne; Neil P. Oxtoby; Arman Eshaghi; Cameron Shand; André Altmann; Daniel C. Alexander; Alexandra L. Young (SoftwareX, 2021)

Subtype and Stage Inference with Timescales. - Alexandra L. Young; Leon M. Aksman; Daniel C. Alexander; Peter A. Wijeratne (IPMI, 2023)

Unscrambling disease progression at scale: fast inference of event permutations with optimal transport. - Peter A. Wijeratne; Daniel C. Alexander (NeurIPS, 2024)

Evaluation of automated airway morphological quantification for assessing fibrosing lung disease. - Ashkan Pakzad; Wing Keung Cheung; Coline H. M. Van Moorsel; Kin Quan; Nesrin Mogulkoc; Brian J. Bartholmai; H. W. Van Es; Alper Ezircan; Frouke Van Beek; Marcel Veltkamp; Ronald A. Karwoski; T. Peikert; et al. (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2024)

How Should We Evaluate Uncertainty in Accelerated MRI Reconstruction? - Luca Trautmann; Peter A. Wijeratne; Itamar Ronen; Ivor Simpson (CoRR, 2025)

Capturing Longitudinal Changes in Brain Morphology Using Temporally Parameterized Neural Displacement Fields. - Aisha L. Shuaibu; Kieran A. Gibb; Peter A. Wijeratne; Ivor J. A. Simpson (CoRR, 2025)

Investigating the Role of Bilateral Symmetry for Inpainting Brain MRI. - Sergey Kuznetsov; Sanduni Pinnawala; Peter A. Wijeratne; Ivor J. A. Simpson (CoRR, 2025)