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 research excellence, open research, supporting a culture of integrity, good governance, and researchers’ wellbeing.

Publications in 2022

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


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

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


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


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.