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Learning transition times in event sequences: the Event-Based Hidden Markov Model of disease progression.

, and . CoRR, (2020)

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Ordinal SuStaIn: Subtype and Stage Inference for Clinical Scores, Visual Ratings, and Other Ordinal Data., , , , , , , and . Frontiers Artif. Intell., (2021)Correction: In-silico dynamic analysis of cytotoxic drug administration to solid tumours: Effect of binding affinity and vessel permeability., , and . PLoS Comput. Biol., (2019)Subtype and Stage Inference with Timescales., , , and . IPMI, volume 13939 of Lecture Notes in Computer Science, page 15-26. Springer, (2023)Learning Transition Times in Event Sequences: The Temporal Event-Based Model of Disease Progression., and . IPMI, volume 12729 of Lecture Notes in Computer Science, page 583-595. Springer, (2021)Evaluation of automated airway morphological quantification for assessing fibrosing lung disease., , , , , , , , , and 14 other author(s). CoRR, (2021)Evaluation of automated airway morphological quantification for assessing fibrosing lung disease., , , , , , , , , and 14 other author(s). Comput. methods Biomech. Biomed. Eng. Imaging Vis., (December 2024)Learning transition times in event sequences: the Event-Based Hidden Markov Model of disease progression., and . CoRR, (2020)In-silico dynamic analysis of cytotoxic drug administration to solid tumours: Effect of binding affinity and vessel permeability., , and . PLoS Comput. Biol., (2018)