Publications are an integral part of research and scholarly communication to ensure sharing new research findings and knowledge widely with the scientific community and to receive credit for one’s research outputs and (research) career achievements. At Imperial College, all researchers are embedded in a multidisciplinary, collaborative and ambitious research environment where they can be bold and motivated to question and challenge. In other words, our doctoral researchers will strive to disseminate their work in the leading international conferences and journals in the field, and have research output in various ways, including for example pre-prints, technical reports, workshop papers, conference presentations and journal articles. This webpage is dedicated to list such publications.

Further guiding principles that all researchers, both staff and doctoral students, at Imperial College are committed to include are research excellence, open research, supporting a culture of integrity, good governance, and researchers’ wellbeing.

Publications in 2024


Joao Pereira (Pre-print)
Pereira J, Chalatsis D, Hodossy B, Farina D, 2024, Tackling Electrode Shift In Gesture Recognition with HD-EMG Electrode Subsets, ArXiv.org, Cornell University
Open Access link


Ariane Duverdier (Journal article)
Duverdier A, Hurault G, Thomas KS, Custovic A, Tanaka RJ, 2024, Evaluation of measurement errors in the Patient-Oriented Eczema Measure (POEM) outcome, Clinical and Experimental Allergy: Journal of the British Society for Allergy and Clinical Immunology, PMID: 38168053
DOI | Open Access link


Publications in 2023

Annika Guez (Conference paper)
Guez A, Dhawan S, Vaidyanathan R, 2023, Echo-based dynamic trajectory generation for customised unilateral exoskeleton applications, ArXiv.org, Cornell University
DOI | Open Access link


Christoforos Galazis (Pre-print)
Galazis C, Shepperd S, Brouwer E, et al., 2023, High-Resolution Maps of Left Atrial Displacements and Strains Estimated with 3D CINE MRI and Unsupervised Neural Networks, ArXiv.org, Cornell University
Open Access link


Alistair Weld (Pre-print)
Dyck M, Weld A, Klodmann J, et al., 2023, Towards Safe and Collaborative Robotic Ultrasound Tissue Scanning in Neurosurgery, ArXiv.org, Cornell University
Open Access link


Agnese Grison (Pre-print)
Grison A, Clarke A K, Muceli, et al., 2023, A Particle Swarm Optimised Independence Estimator for Blind Source Separation of Neurophysiological Time Series, TechRxiv. November 13, 2023
Open Access link


Myura Nagendran and Paul Festor (Journal article)
Nagendran M, Festor P, Komorowski M, et al., 2023, Quantifying the impact of AI recommendations with explanations on prescription decision making, npj Digital Medicine, volume 6, Article number: 206 (2023)
Open Access link


Simon Hanassab (Conference paper)
Hanassab S, Abbara A, Kelsey T, et al., 2023, Optimising Oocyte Yield: Unveiling the ideal follicle sizes on the day of trigger using interpretable machine learning, Fertility and Sterility, Volume 120, Issue 4, Supplement E34-E35, October 2023
DOI | Open Access link


Ruoyu Hu and Neophytos Polydorou (Pre-print)
Law A L, Hu R, Alazraki L, Gopalan A, Polydorou N, Edalat A, 2023, A Multilingual Virtual Guide for Self-Attachment Technique, ArXiv.org, Cornell University
DOI | Open Access link


Alistair Weld (Journal article)
Cartucho J, Weld A, Tukra S, Xu H, Matsuzaki H, Ishikawa T, Kwon M, Jang Y E, Kim K-J, Lee G, Bai B, Kahrs L A, Boecking L, Allmendinger S, Müller L, Zhang Y, Jin Y, Bano S, Vasconcelos F, Reiter W, Hajek J, Silva B, Lima E, Vilaça J L, Queirós S, Giannarou S, SurgT challenge: Benchmark of soft-tissue trackers for robotic surgery, Medical Image Analysis, Volume 91, 2024, 102985, ISSN 1361-8415
DOI | Open Access link


Lucille Cazenave (Pre-print)
Cazenave L, Einenkel M, Yurkewich A, et al., 2023, Hybrid robotic and electrical stimulation assistance can enhance performance and reduce mental demand, IEEE Transaction on Neural Systems and Rehabilitation Engineering, PMID: 37815973
Open Access link


Reneira Seeamber (Pre-print)
Seeamber R, Badea C, 2023, If our aim is to build morality into an artificial agent, how might we begin to go about doing so?, EEE Intelligent Systems, vol., no. 01, pp. 1-7, 5555
Open Access link


Weitong Zhang (Conference paper)
Zhang W, et al., 2023, MoCoSR: Respiratory Motion Correction and Super-Resolution for 3D Abdominal MRI, In: Greenspan H, et al., Medical Image Computing and Computer Assisted Intervention – MICCAI 2023, Lecture Notes in Computer Science, vol 14229, Springer, Cham
Open Access link


Michael Tanzer (Pre-print)
Wang F, Tanzer M, Qiao M, Bai W, Rueckert D, Yang G, Nielles-Vallespin S, 2023, T1/T2 relaxation temporal modelling from accelerated acquisitions using a Latent Transformer, ArXiv.org, Cornell University, 2309.16853
Open Access link


Joshua Southern (Journal article)
Southern J, Gonzalez G, Borgas P, et al., 2023, Genomic-driven nutritional interventions for radiotherapy-resistant rectal cancer patient, Nature Scientific Reports, 13, Article number 14862
Open Access link


Annika Guez (Pre-print)
Hodossy B, Guez A, Jing S, et al., 2023, Leveraging high-density EMG to investigate bipolarelectrode placement for gait prediction models, IEEE TechRxiv.org
Open Access link


Joshua Southern (Pre-print)
Harteveld Z, Van Hall-Beauvais A, Morozova I, Southern J, et al., 2023, Exploring “dark matter” protein folds using deep learning, bioRxiv, 2023.08.30.555621
Open Access link


Annalaura Lerede (Journal article)
Lerede A, Rodgers J, Middleton R M, et al., 2023, Patient-reported outcomes in multiple sclerosis: a prospective registry cohort study, Brain Communications, Volume 5, Issue 4, 2023, fcad199
DOI | Open Access link


Blanka Zicher (Pre-print)
Zicher B, Avrillon S, Ibáñez J, and Farina D, 2023, High-frequency cortical neural inputs to muscles during movement cancellation, BioRxiv.org, Cold Spring Harbor Laboratory
Open Access link


Dimitar Georgiev (Conference paper)
Ekstroem F, Georgiev D, Petrov Toshev A, et al., 2023, Accelerating Molecular Graph Neural Networks via Knowledge Distillation, ICML 2023 Conference Workshop, July 28 2023
Open Access link


Giulia Sanguedolce (Conference paper)
Sanguedolce G, Naylor P A, Geranmayeh F, 2023, Uncovering the potential for a weakly supervised end-to-end model in recognising speech from patient with post-stroke aphasia, 5th Clinical Natural Language Processing Workshop, Publisher: Association for Computational Linguistics, Pages: 182-190
DOI | Open Access link


Joshua Southern (Conference paper)
Southern j, Schneuing A, Bronstein M M, Correia B, 2023, Evaluation Metrics for Protein Structure Generation, ICML 2023 Workshop on Deployable Generative AI
Open Access link


Joshua Southern (Conference poster)
Southern J, Wayland J, Bronstein M, Rieck B, 2023, On the Expressive Power of Ollivier-Ricci Curvature on Graphs, ICML 2023 Workshop on Topology, Algebra and Geometry
Open Access link


Alistair Weld (Pre-print)
Weld A, Dixon L, Anichini G, Dyck M, et al., 2023, Identifying Visible Tissue in Intraoperative Ultrasound Images during Brain Surgery: A Method and Application, ArXiv.org, Cornell University
DOI | Open Access link


William Plumb (Conference paper)
Plumb W, Casale G, Bottle A, Liddle A, et al., 2023, Clinical pathway clustering using surrogate likelihoods and replayability validation, Winter Simulation Conference 2023, Publisher: ACM / IEEE
Open Access link


Ioannis Afentakis (Pre-print)
Afentakis I, Herrero P, Unsworth R, Reddy M, Oliver N, Georgiou P, et.al, 2023, Prediction of Nocturnal Hypogycaemia in Adults with Type 1 Diabetes using Machine Learning Classifiers, IEEE TechRxiv
Open Access link


Alistair Weld (Conference paper)
Dyck M, Weld A, Klodmann J, et al., 2023, Automated robotic intraoperative ultrasound for brain surgery, In: 2023 ICRA-RAMI workshop, ArXiv.org, Cornell University
DOI | Open Access link


Dimitar Georgiev (Pre-print)
Ekström Kelvinius F, Georgiev D, Petrov Toshev A, Gasteiger J, 2023, Accelerating Molecular Graph Neural Networks via Knowledge Distillation, ArXiv.org, Cornell University
Open Access link


Avish Vijayaraghavan (Pre-print)
Wang M, Vijayaraghavan A, Beck T, et al., 2023, Vocabulary Matters: An Annotation Pipeline and Two Deep Learning Algorithms for Enzyme Named Entity Recognition, bioRxiv
Open Access link


Alistair Weld (Conference paper)
Weld A, Agrawal A, Giannarou S, 2023, Ultrasound Segmentation Using a 2D UNet with Bayesian Volumetric Support, In: Xiao Y, Yang G, Song S, (eds), Lesion Segmentation in Surgical and Diagnostic Applications, CuRIOUS KiPA MELA 2022, Lecture Notes in Computer Science, vol 13648, Springer, Cham
DOI | Open Access link


Hadrien Reynaud (Pre-print)
Reynaud H, Qiao M, Dombroskwi M, et al., 2023, Feature-Conditioned Cascaded Video Diffusion Models for Precise Echocardiogram Synthesis, ArXiv.org, Cornell University
Open Access link


Alistair Weld (Pre-print)
Cartucho J, Weld A, Tukra S, Xu H, Matsuzaki H, Ishikawa T, Kwon M, Jang Y E, Kim K-J, Lee G, Bai B, Kahrs L A, Boecking L, Allmendinger S, Müller L, Zhang Y, Jin Y, Bano S, Vasconcelos F, Reiter W, Hajek J, SilvaB, Lima E, Vilaca J L, Queiros S, Giannarou S, 2023, SurgT: Soft-Tissue Tracking for Robotic Surgery, Benchmark and Challenge, ArXiv.org, Cornell University
DOI | Open Access link


Joshua Southern (Pre-print)
Southern J, Wayland J, Bronstein M, Rieck R, 2023, Curvature Filtrations for Graph Generative Model Evaluation, ArXiv.org, Cornell University
DOI | Open Access link


Alistair Weld (Pre-print)
Weld A, Dyck M, Klodmann J, Anichini G, et al., 2023, Collaborative Robotic Ultrasound Tissue Scanning for Surgical Resection Guidance in Neurosurgery, ArXiv.org, Cornell University
DOI | Open Access link


James Batten (Pre-print)
Batten J, Sinclair M, Glocker b, Shaap M, 2023, Image To Tree with Recursive Prompting, ArXiv.org, Cornell University
DOI | Open Access link


Kai Zhang (Book chapter)
Zhang D K, Toni F, Williams M, 2023, A Federated Cox Model with Non-proportional Hazards, In: Shaban-Nejad A, Michalowski M, Bianco S (eds) Multimodal AI in Healthcare. Studies in Computational Intelligence, vol 1060. Springer, Cham.
DOI | Open Access link


Publications in 2022

Hadrien Reynaud (Pre-print)
Dombrowski M, Raynaud H, Baugh M, Kainz B, 2022, Foreground-Background Separation through Concept Distillation from Generative Image Foundation Models, ArXiv.org, Cornell University
DOI | Open Access link


Alistair Weld (Conference paper)
Weld A, Cartucho J, Xu C, Davids J, Giannarou S, 2022, Regularising disparity estimation via multi-task learning with structured light reconstruction, Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, 11:4, 1206-1214
DOI | Open Access link


Simon Hanassab (Journal article)
Voliotis M, Hanassab S, Abbara A, et al., 2022, Quantitative approaches in clinical reproductive endocrinology, Current Opinion in Endocrine and Metabolic Research, Volume 27, 2022, 100421, ISSN: 2451-9650
DOI | Open Access link


Margherita Rosnati (Pre-print)
Rosnati M, De Sousa Ribeiro F, Monteiro M, et al., 2022, Analysing the effectiveness of a generative model for semi-supervised medical image segmentation, Machine Learning for Health, pp. 290-310, PMLR 2022, ArXiv.org, Cornell University
Open Access link


Joshua Southern (Conference paper)
Harteveld Z, Southern J, Defferrard M, et al., 2022, Deep sharpening of topological features for de novo protein design, ICLR2022 Machine Learning for Drug Discovery, April 2022
Open Access link


Benjamin Post, MD (Pre-print)
Post B, Badea C, Faisal A A, Brett S J, 2022, Breaking bad news in the era of artificial intelligence and algorithmic medicine: an exploration of disclosure and its ethical justification using the hedonic calculus. AI Ethics. 2022 Oct 31:1-14, Epub ahead of print, PMID: 36338525, PMCID: PMC9628590.
DOI | Open Access link


Simon Hanassab (Conference paper)
Alhamwi T, Abbara A, Hanassab S, et al., 2022, Follicle sizes that are most likely to yield oocytes during in vitro fertilisation (IVF) treatment, Society for Endocrinology BES 2022, Bioscientifica, ISSN: 1479-6848
DOI | Open Access link


Simon Hanassab (Conference paper)
Adams S, Voliotis M, Phylactou M, et al., 2022, Quantifying the variability in the outpatient assessment of reproductive hormone levels, Society for Endocrinology BES 2022, Bioscientifica, ISSN:1479-6848
DOI | Open Access link


Berke Doga Basaran (Journal article)
Basaran B D, Matthews P M and Bai W, 2022, New lesion segmentation for multiple sclerosis brain images with imaging and lesion-aware augmentation, Frontiers in Neuroscience
DOI | Open Access link


Blanka Zicher (Journal article)
Zicher B, Ibáñez J, and Farina D, 2022, Beta inputs to motor neurons do not directly contribute to volitional force modulation, The Journal of Psychology, eISSN 1469-7793
DOI | Open Access link


Michael Tanzer (Pre-print)
Tanzer M, Yook SH, Rueckert D, Nielles-Vallespin S, 2022, Review of Data Types and Model Dimensionality for Cardiac DTI SMS-Related Artefact Removal, ArXiv.org, Cornell University, 2209.09522
Open Access link


Alistair Weld (Conference paper)
Xu C, Roddan A, Davids J, Weld A, Xu H, Giannarou S, 2022, Deep Regression with Spatial-Frequency Feature Coupling and Image Synthesis for Robot-Assisted Endomicroscopy, In: Wang L, Douv Q, Fletcher P T, Speidel S, Li S, (eds) Medical Image Computing and Computer Assisted Intervention – MICCAI 2022. MICCAI 2022. Lecture Notes in Computer Science, vol 13437, Springer, Cham
DOI | Open Access link


Margherita Rosnati (Conference paper)
Rosnati M, Eyal S, Monteiro M, et al., 2022, Automatic lesion analysis for increased efficiency in outcome prediction of traumatic brain injury, Springer Nature Switzerland, 5th International Workshop, MLCN 2022, held in Conjunction with MICCAI 2022, September 18, 2022, Proceedings, pp. 135-146 (2022)
Open Access link


Will Bolton (Journal article)
Bolton W, Rawson T M, Hernandez B, et al., 2022, Machine learning and synthetic outcome estimation for individualised antimicrobial cessation, Frontiers in Digital Health, details tbc
DOI | Open Access link


Sumeet Hindocha, MD (Journal article)
Hindocha S, Charlton T G, Linton-Reid K, et al., 2022, Gross tumour volume radiomics for prognostication of recurrence & death following radical radiotherapy for NSCLC, npj Precision Oncology, 6, 77 (2022)
DOI | Open Access link


Alina-Irina Serban (Journal article)
Serban A I, Soreq E, Barnaghi P, et al., 2022, The effect of COVID-19 on the home behaviours of people affected by dementia, npj Digital Medicine, 5, 154
DOI | Open Access link


Will Bolton (Pre-print)
Bolton W, Badea C, Georgiou P, et al., 2022, Developing moral AI to support antimicrobial decision making, ArXiv.org, Cornell University
Open Access link


Edoardo Occhipinti (Conference paper)
Occhipinti E, Davie H J, Hammour G, et al., 2022, Hearables: Artefact removal in Ear-EEG for continuous 24/7 monitoring, 2022 International Joint Conference on Neural Networks (IJCNN), Padua, Italy, 2022, pp. 1-6
DOI | Open Access link


Annalaura Lerede (Pre-print)
Lerede A, Middleton Ro, Rodgers J, et al., 2022, 056 Online assessment and monitoring of cognitive decline in neurological conditions, Journal of Neurology, Neurosurgery & Psychiatry, 93: e2.
Open Access link


Mike Thornton (Journal article)
Thornton M, Mandic D, Reichenbach T, 2022, Robust decoding of the speech envelope from EEG recordings through deep neural networks, Journal of Neural Engineering, 19 046007
Open Access link


Paul Festor (Journal article)
Festor P, Jia Y, Gordon AC, et al., 2022, Assuring the safety of AI-based clinical decision support systems: a case study of the AI Clinician for sepsis treatment, BMJ Health & Care Informatics, 29:e100549
Open Access link


Asem Alaa (Pre-print)
Alaa A, Mayer E, Barahona M, 2022, ICE-NODE: Integration of Clinical Embeddings with Neural Ordinary Differential Equations, ArXiv.org, Cornell University
Open Access link


Xavier Cadet (Pre-print)
Cadet X, Ahmadi-Abhari S, Haddadi H, 2022, FIB: A Method for Evaluation of Feature Impact Balance in Multi-Dimensional Data, ArXiv.org, Cornell University
DOI | Open Access link


Berke Doga Basaran (Pre-print)
Basaran BD, Qiao M, Matthews P, Bai W, 2022, Subject-Specific Lesion Generation and Pseudo-Healthy Synthesis for Multiple Sclerosis Brain Images, ArXiv.org, Cornell University
DOI | Open Access link


Ariane Duverdier (Journal article)
Duverdier A, Custovic A, Tanaka R, 2022, Data-driven research on eczema: Systematic characterization of the field and recommendations for the future, Wiley Online Library- Clinical and Translational Allergy, Volume 12, Issue 6, e12170
Open Access link


Hadrien Reynaud (Pre-print)
Reynaud H, Vlontzos A, Dombrowski M, et al., 2022, D’ARTAGNAN: Counterfactual Video Generation, ArXiv.org Cornell University
Open Access link


Myura Nagendran, MD (Journal article)
Vasey B, Nagendran M, Campbell B, et al., 2022, Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI, Nature Medicine Volume 28, pages 924–933
Open Access link


Annalaura Lerede (Pre-print)
Balaet M, Kurtin D, Grui D, Lerede A, et al., 2022, Who and why: a study of British distrust in the government and media during the COVID-19 pandemic, Researchsquare.com
Open Access link


Will Dudley (Pre-print)
Liu Y, Leib R, Dudley W, et al., 2022, The role of haptic communication in dyadic collaborative object manipulation tasks, ArXiv.org, Cornell University
DOI | Open Access link


Michael Tanzer (Pre-print)
Taenzer M, Ferreira P, Scott A, et al., 2022, Faster Diffusion Cardiac MRI with Deep Learning-based breath hold reduction, ArXiv.org, Cornell University
Open Access link


Hadrien Reynaud (Pre-print)
Vlontzos A, Reynaud H, Kainz B, 2022, Is More Data All You Need? A Causal Exploration, ArXiv.org, Cornell University
Open Access link


James Batten (Journal article)
Tan J, Hou B, Batten J, et al., 2022, Detecting Outliers with Foreign Patch Interpolation, Melba – Journal for Machine Learning for Biomedical Imaging, 2022: 013, pp1-27
DOI | Open Access link


Sumeet Hindocha, MD (Journal article)
Hindocha S, Charlton T G, Linton-Reid K, et al., 2022, A comparison of machine learning methods for predicting recurrence and death after curative-intent radiotherapy for non-small cell lung cancer: Development and validation of multivariable clinical prediction models, eBioMedicine, Volume 77, 103911, ISSN 2352-3964
DOI | Open Access link


James Batten (Journal article)
Sinclair M, Schuh A, Hahn K, et al., 2022, Atlas-ISTN: Joint Segmentation, Registration and Atlas Construction with Image-and-Spatial Transformer Networks, Medical Image Analysis, Volume 78, 102383, ISSN 1361-8415
Open Access link


Neophytos Polydorou (Pre-print)
Alazraki L, Ghachem Al, Polydorou N, et al., 2022, An Empathetic AI Coach for Self-Attachment Therapy, IEEE Third International Conference on Cognitive Machine Intelligence (CogMI), pp. 78-87
Open Access link


Paul Festor (Pre-print)
Festor P, Shafti A, Harston A, et al., 2022, MIDAS: Deep learning human action intention prediction from natural eye movement patterns, ArXiv.org, Cornell University
Open Access link


Patrik Bachtiger, MD; Camille Petri, MD; clinical PhD fellows (Journal article)
Bachtiger P, Petri C F, Scott F, et al., 2022, Point-of-care screening for heart failure with reduced ejection fraction using artificial intelligence during ECG-enabled stethoscope examination in London, UK: a prospective, observational, multicentre study, The Lancet Digital Health, Vol 4, Number 1, e1-e74 (5 January 2022)
DOI | Open Access link


Amr Nimer, MD (Journal article)
Serrano Sponton L, Shaaban A, Archavlis E, Alhoobi M, Nimer A, et al., 2022, Two-stage endoscopic assisted approach for large pineal region and falcotentorial meningioma: first stage paramedian supracerebellar infratentorial approach, second stage interhemispheric occipital transtentorial approach: surgical cases and anatomical study, Neurosurgical Review (4 January 2022)
DOI | Open Access link

Publications in 2021

Nur Aizaan Anwar, MD (Journal article)
Anwar N A and Williams M, 2021, BrainApp: Using near-patient sensing through a mobile app and machine learning in brain tumour patients, Neuro-Oncology, Volume 23, Issue Supplement 4, October 2021, Page iv2
DOI | Open Access link


Sameer Zaman, MD; Camille Petri, MD; Kavitha Vimalesvaran, MD; clinical PhD fellows (Journal article)
Zaman S, Petri C, Vimalesvaran K, et al., 2021, Automatic Diagnosis Labeling of Cardiovascular MRI by Using Semisupervised Natural Language Processing of Text Reports, RSNA Radiology: Artificial Intelligence, Vol: 4, No 1, e210085
DOI | Open Access link


Hadrien Reynaud (Conference paper)
Reynaud H, Vlontzos A, Hou B, et al., Ultrasound Video Transformers for Cardiac Ejection Fraction Estimation. In International Conference on Medical Image Computing and Computer-Assisted Intervention 2021 Sep 27 (pp. 495-505). Springer, Cham
DOI | Open Access link


Digby Chappell and Sameer Zaman, clinical PhD fellow (Journal article)
Nanerjee M, Chiew D, Patel K, Johns I, Chappell D, Linton N, Cole G, et al., 2021, The impact of artificial intelligence on clinical education: perceptions of postgraduate trainee doctors in London (UK) and recommendations for trainers, BMC Medical Education 21, Vol: 429
DOI | Open Access link


Kavitha Vimalesvaran, MD, clinical PhD fellow (Journal article)
Kotecha T, Knight D, Razvi Y, et al., 2021, Patterns of myocardial injury in recovered troponin-positive COVID-19 patients assessed by cardiovascular magnetic resonance, European Heart Journal, Vol 42, Issue 19, Pages: 1866-1878
DOI | Web Author link


Sumeet Hindocha, MD, clinical PhD fellow (Journal article)
Hindocha S, Campbell D, Ahmed M, et al., 2021, Immune Checkpoint Inhibitor and Radiotherapy-Related Pneumonitis: An Informatics Approach to Determine Real-World Incidence, Severity, Management, and Resource Implications, Frontiers in Medicine, Vol 8, Pages: 2039
DOI | Web Author Link


Paul Festor (Pre-print)
Festor P, Luise G, Komorowski M, et al., 2021, Enabling risk-aware Reinforcement Learning for medical interventions through uncertainty decomposition, ArXiv.org, Cornell University
Open Access link


Paul Festor (Pre-print)
Festor P, Habli I, Jia Y, Gordon A, Faisal A A and Komorowski M, 2021, Levels of Autonomy and Safety Assurance for AI-Based Clinical Decision Systems, In Computer Safety, Reliability, and Security, SAFECOMP 2021 Workshops, (Eds.), Vol. 12853, Springer International Publishing, Cham, 291–296.
DOI | Open Access link


Edoardo Occhipinti (Conference paper)
Occhipinti E, Mirza K B, Toumazou C, 2021, Personalised trainer recommendation based on physical activity and genetic profile, IEEE EMBS International Conference on Biomedical and Health Informatics, ISSN: 2641-3604
DOI | Open Access link


Hadrien Reynaud (Pre-print)
Reynaud H, Vlontzos A, Hou B, et al., 2021, Ultrasound Video Transformers for Cardiac Ejection Fraction Estimation, ArXiv.org, Cornell University
Open Access link


Sumeet Hindocha, MD, clinical PhD fellow (Journal article)
Hindocha S, Badea C, 2021, Moral exemplars for the virtuous machine: The clinician’s role in ethical artificial intelligence for healthcare, AI and Ethics (12 September 2021)
DOI | Open Access link


Benjamin Post, MD (Pre-print)
Faisal A, Le Lannou E, Post B, et al., 2021, Clustering of patient comorbidities within electronic medical records enables high-precision COVID-19 mortality prediction, Research Square,
DOI | Web Author link


Sameer Zaman, MD, clinical PhD fellow (Journal article)
Seligman H, Zaman S, Pitcher D, et al., 2021, Reusable snorkel masks adapted as particulate respirators, PLOS ONE, Vol. 16(4)
DOI | Web Author link


Margherita Rosnati (Journal article)
Rosnati M, Fortuin V, 2021, MGP-AttTCN: An interpretable machine learning model for the prediction of sepsis, PLOS ONE, 16(5): e0251248
DOI | Open Access link


Alina-Irina Serban (Journal article)
Tiersen F, Batey P, Harrison MJC, Naar L, Serban A, et al., 2021, Smart Home Sensing and Monitoring in Households With Dementia: User-Centered Design Approach, JMIR Publications, Vol 4, No 3
DOI


Digby Chappell (Journal article)
Saputra R, Rakicevic N, Chappell D, et al., 2021, Hierarchical Decomposed-Objective Model Predictive Control for Autonomous Casualty Extraction, IEEE Access, Vol 9, Pages: 39656-39679
DOI | Open Access link

Publications in 2020

Reneira Seeamber (Journal article)
Donat C, Yanez Lopez M, Sastre M, et al., 2020, From biomechanics to pathology: predicting axonal injury from patterns of strain after traumatic brain injury, Brain, Vol 144, Issue 1, Pages: 70-91
DOI | Open Access link | Web Author link


Digby Chappell (Conference paper)
Wang K, Marsh D, Saputra R, Chappell D et al., 2020, Design and Control of SLIDER: An Ultra-lightweight, Knee-less, Low-cost Bipedal Walking Robot, IEEE International Workshop on Intelligent Robots and Systems (IROS), Pages: 3488-3495
DOI | Open Access link


Digby Chappell (Pre-print)
Chappell D, Wang K, Kormushev P, Asynchronous Real-Time Optimization of Footstep Placement and Timing in Bipedal Walking Robots, 2020, ArXiv.org, Cornell University
Open Access link


Ruby Sedgwick (Conference paper)
Sedgwick R, Goertz J, Stevens M, et al., 2020, Design of Experiments for Verifying Biomolecular Networks, ArXiv.org, Cornell University
Open Access link

The UKRI Centre in AI for Healthcare opened its doors in October 2019 when the first cohort of researchers started their PhD. Read the introductory story here.