Posters by our CDT students. 2025 Achille Fraisse: 'Learning Meaningful Representations of Biological Time-Series Using auto-encoders' ELLIS Summer School (Manchester) and CAI4H (York) 2025 2024 Justin Engelmann: 'Effective Artificial Intelligence (AI)-based identification of Geographic Atrophy (GA) in ultra-widefield (UWF) imaging in mixed and age-related macular degeneration (AMD) populations' ARVO Imaging in the Eye conference, 2024Justin Engelmann: 'Repeatability and measurement noise of retinal Fractal Dimension using Deep Approximation of Retinal Traits (DART) and their relationship with image quality' The Association for Research in Vision and Ophthalmology (ARVO) annual meeting, 2024Hans Christof Gasser: ‘Tuning Protein MPNN to reduce protein visibility via MHC Class I through direct preference optimization’ PEGS (Barcelona) 2024Hans Christof Gasser: ‘Guiding a language-model based protein design method towards MHC Class-I immune-visibility targets in vaccines and therapeutics’ CCP5 Summer School Poster Presentation Newcastle, UK 2024Domas Linkevicius: 'Fitting, comparison and selection of different Calmodulin kinetic schemes on a single data set using non-linear mixed effects modelling', FENS Forum 2024Yongcheng Yao: ‘Quantifying Knee Cartilage Shape and Lesion: From Image to Metrics’. MICCAI (Morocco) 2024 2023 Rayna Andreeva: 'Metric Space Magnitude and Generalisation in Neural Networks', ICML, TAG-DS, Honolulu, Hawaii and TDA week, Kyoto, Japan, as part of ICIAM 2023Justin Engelmann: 'Deep learning identifies age as a key axis of perceptual variation in fundus images – without training on fundus images', ARVO imaging in the eye pre-conference 2023Achille Fraisse: 'Predicting perivascular space severity scores from MRI scans using deep learning' CDT Biomedical AI Research Poster Showcase 2023Hans-Christof Gasser: 'Utility of language model and physics-based approaches in modifying MHC Class-I immune-visibility for the design of vaccines and therapeutics'. Vaccine, ISMB 2023Hans-Christof Gasser: ‘Utility of language model and physics-based approaches in modifying MHC Class-I immune-visibility for the design of vaccines and therapeutics’ ISMB Conference (France) 2023Hans-Christof Gasser: ‘Utility of language model and physics-based approaches in modifying MHC Class-I immune-visibility for the design of vaccines and therapeutics’ Vaccine (Glasgow) 2023Dominic Phillips: 'Principled and Efficient Motif Finding for Structure Learning of Lifted Graphical Models', Thirty-Seventh AAAI Conference on Artificial Intelligence (Washington DC) 2023Aleksandra Sobieska, Chris Brackley, Kartic Subr: 'Modelling large-scale 3D genome organisation using ML-informed polymer simulations', CDT Biomedical AI Showcase, Informatics Forum, University of Edinburgh 2023Lars Werne: 'Evaluating factors that drive information decoding from EEG data'. CuttingEEG Conference Dundee 2023 2022 Rayna Andreeva: 'Topological data analysis for papillae classification', Autumn poster session, online, AATRN 2022Rayna Andreeva: 'Topological data analysis for papillae classification', Provost’s visit to the School of Informatics 2022Rayna Andreeva: 'Topological data analysis for papillae classification', Biomedical AI Research Poster Showcase 2022Rayna Andreeva: 'Applications of magnitude to neural networks', Topology of Data in RomeRayna Andreeva: 'Topological data analysis for papillae classification', SINAPSE Annual Scientific MeetingRayna Andreeva: 'Topological data analysis for papillae classification', Applied Topology in Będlewo 2022Rayna Andreeva: 'Topological data analysis for papillae classification', CAI4H 2022Leonardo Castorina: 'Machine Learning for Protein Design', APFED22Justin Engelmann: 'Detecting multiple retinal diseases in ultra-widefield fundus imaging and data-driven identification of informative regions with deep learning', Biomedical AI Research Poster Showcase, 2022Justin Engelmann: 'Robust and Efficient Computation of Retinal Fractal Dimension Through Deep Approximation', Ophthalmic Medical Image Analysis workshop at the 25th International Conference on Medical Image Computing and Computer Assisted Intervention 2022Justin Engelmann: 'Detecting multiple retinal diseases in ultra-widefield fundus imaging and data-driven identification of informative regions with deep learning' Provost’s visit to the School of Informatics 2022Justin Engelmann: 'Parity in predictive performance is neither necessary nor sufficient for fairness', Algorithmic Fairness through the Lens of Causality and Privacy at the NeurIPS conference 2022Matúš Falis: 'Horses to Zebras: Ontology-Guided Data Augmentation and Synthesis for ICD-9 Coding', ACL 2022Alessandro Fontanella: 'ACAT: Adversarial counterfactual attention for classification and detection in medical imaging', CAI4H 2022Olivier Labayle Pabet: 'Let’s remove unnecessary assumptions from population genetics studies', EMGM 2022Bryan Li: 'Inferring mood disorder symptoms from multivariate time-series sensory data', NeurIPS Workshop on Learning from Time Series for Health 2022Domas Linkevicius: 'Linking models of biochemical dynamics via mass-constrained neural ordinary differential equations', 21st International Conference for Systems Biology 2022Domas Linkevicius: 'Modeling the dynamics of arbitrary partially known biochemical systems via mass constrained neural ODEs' Scottish Neuroscience Group Meeting 2022Evgenii Lobzaev: 'Designing Human Sphingosine-1-phosphate Lyases Using Generative Deep Learning', Glycolipid and Sphingolipid Biology GRC 2022Charlotte Merzbacher: 'Fast and Scalable machine learning for dynamic metabolic engineering', SynBioUK Conference 2022Aleksandra Sobieska: 'Development of a machine learning-based approach for the analysis of DNA replication in primary mammalian cells', Biomedical AI Research Summer Social Poster Session 2022Aleksandra Sobieska: 'Benchmarking of deconvolution algorithms for data-informed cell type composition of in vitro models for non-alcoholic fatty liver disease', Biomedical AI Research Poster Showcase 2022Michael Stam: 'Data-driven prediction of antibody expression', APFED22 2021 Rayna Andreeva: 'Automatic papillae identification using discrete curvature analysis', Food Oral Processing 2021, Early Career Researcher sessionDomas Linkevicius: 'Modeling the dynamics of partially known systems via the integration of a system of ordinary differential equations into a recurrent neural network', CNS*2021Domas Linkevicius: 'Combining neural ODEs and incomplete ODE systems to model complex, under-parameterised synaptic biochemical networks', Neuroscience 2021Filippo Corponi: 'Definition of early age at onset in bipolar disorder according to distinctive neurodevelopmental pathways: insights from the FACE-BD study', French Congress of PsychiatryLi W, Fontanella Alessandro, Antoniou A, Platt E., Martin C., Mair G., Trucco E., Storkey A., Wardlaw J.: 'Acute ischaemic stroke (AIS) lesion detection with a convolutional deep learning model', 7th European Stroke Organisation Conference ESOC 2021Mair G., Li W., Martin C., Fontanella, Alessandro, Trucco E., Storkey A., Wardlaw J.: 'Challenges of delivering medical image sets for development of deep learning software in stroke', Artificial intelligence in practice 2021 This article was published on 2025-07-24
