Low-Cost Blood Pressure Monitor Device for Developing Countries. - Carlos Arteta; João S. Domingos; Marco A. F. Pimentel; Mauro D. Santos; Corentin Chiffot; David B. Springer; Arvind Raghu; Gari D. Clifford (MobiHealth, 2011)

Vital-sign Data Fusion Models for Post-operative Patients. - Marco A. F. Pimentel; David A. Clifton; Lei A. Clifton; Peter J. Watkinson; Lionel Tarassenko (BIOSIGNALS, 2012)

Gaussian process regression in vital-sign early warning systems. - Lei A. Clifton; David A. Clifton; Marco A. F. Pimentel; Peter J. Watkinson; Lionel Tarassenko (EMBC, 2012)

Probabilistic estimation of respiratory rate using Gaussian processes. - Marco A. F. Pimentel; David A. Clifton; Lei A. Clifton; Lionel Tarassenko (EMBC, 2013)

Gaussian process clustering for the functional characterisation of vital-sign trajectories. - Marco A. F. Pimentel; David A. Clifton; Lionel Tarassenko (MLSP, 2013)

Modelling physiological deterioration in post-operative patient vital-sign data. - Marco A. F. Pimentel; David A. Clifton; Lei A. Clifton; Peter J. Watkinson; Lionel Tarassenko (Medical Biol. Eng. Comput., 2013)

Gaussian Processes for Personalized e-Health Monitoring With Wearable Sensors. - Lei A. Clifton; David A. Clifton; Marco A. F. Pimentel; Peter J. Watkinson; Lionel Tarassenko (IEEE Trans. Biomed. Eng., 2013)

Multi-task Gaussian process models for biomedical applications. - Robert Dürichen; Marco A. F. Pimentel; Lei A. Clifton; Achim Schweikard; David A. Clifton (BHI, 2014)

Hidden Semi-Markov Model-Based Heartbeat Detection Using Multimodal data and Signal Quality Indices. - Marco A. F. Pimentel; Mauro D. Santos; David B. Springer; Gari D. Clifford (CinC, 2014)

Physiological trajectory of patients pre and post ICU discharge1. - Alistair E. W. Johnson; Jonathan Burgess; Marco A. F. Pimentel; David A. Clifton; J. Duncan Young; Peter J. Watkinson; Lionel Tarassenko (EMBC, 2014)

Respiratory rate estimation from the oscillometric waveform obtained from a non-invasive cuff-based blood pressure device. - Marco A. F. Pimentel; Mauro D. Santos; Carlos Arteta; João S. Domingos; Mohammad Ali Maraci; Gari D. Clifford (EMBC, 2014)

A scalable mHealth system for noncommunicable disease management. - Gari D. Clifford; Carlos Arteta; Tingting Zhu 001; Marco A. F. Pimentel; Mauro D. Santos; João S. Domingos; Mohammad Ali Maraci; Joachim Behar; Julien Oster (GHTC, 2014)

A unified approach for respiratory motion prediction and correlation with multi-task Gaussian Processes. - Robert Dürichen; Tobias Wissel; Floris Ernst; Marco A. F. Pimentel; David A. Clifton; Achim Schweikard (MLSP, 2014)

A review of novelty detection. - Marco A. F. Pimentel; David A. Clifton; Lei A. Clifton; Lionel Tarassenko (Signal Process., 2014)

Predictive Monitoring of Mobile Patients by Combining Clinical Observations With Data From Wearable Sensors. - Lei A. Clifton; David A. Clifton; Marco A. F. Pimentel; Peter J. Watkinson; Lionel Tarassenko (IEEE J. Biomed. Health Informatics, 2014)

A Multivariate Timeseries Modeling Approach to Severity of Illness Assessment and Forecasting in ICU with Sparse, Heterogeneous Clinical Data. - Marzyeh Ghassemi; Marco A. F. Pimentel; Tristan Naumann; Thomas Brennan; David A. Clifton; Peter Szolovits; Mengling Feng (AAAI, 2015)

Bayesian fusion of algorithms for the robust estimation of respiratory rate from the photoplethysmogram. - Tingting Zhu 001; Marco A. F. Pimentel; Gari D. Clifford; David A. Clifton (EMBC, 2015)

Multitask Gaussian Processes for Multivariate Physiological Time-Series Analysis. - Robert Dürichen; Marco A. F. Pimentel; Lei A. Clifton; Achim Schweikard; David A. Clifton (IEEE Trans. Biomed. Eng., 2015)

Robust estimation of respiratory rate via ECG- and PPG-derived respiratory quality indices. - Drew A. Birrenkott; Marco A. F. Pimentel; Peter J. Watkinson; David A. Clifton (EMBC, 2016)

Bayesian Gaussian processes for identifying the deteriorating patient. - Glen Wright Colopy; Marco A. F. Pimentel; Stephen J. Roberts; David A. Clifton (EMBC, 2016)

Bayesian optimisation of Gaussian processes for identifying the deteriorating patient. - Glen Wright Colopy; Marco A. F. Pimentel; Stephen J. Roberts; David A. Clifton (BHI, 2017)

Comparing Feature Based Classifiers and Convolutional Neural Networks to Detect Arrhythmia from Short Segments of ECG. - Fernando Andreotti; Oliver Carr; Marco A. F. Pimentel; Adam Mahdi; Maarten De Vos (CinC, 2017)

Toward a Robust Estimation of Respiratory Rate From Pulse Oximeters. - Marco A. F. Pimentel; Alistair E. W. Johnson; Peter Charlton; Drew A. Birrenkott; Peter J. Watkinson; Lionel Tarassenko; David A. Clifton (IEEE Trans. Biomed. Eng., 2017)

Point process models for novelty detection on spatial point patterns and their extremes. - Stijn Luca; Marco A. F. Pimentel; Peter J. Watkinson; David A. Clifton (Comput. Stat. Data Anal., 2018)

A Robust Fusion Model for Estimating Respiratory Rate From Photoplethysmography and Electrocardiography. - Drew A. Birrenkott; Marco A. F. Pimentel; Peter J. Watkinson; David A. Clifton (IEEE Trans. Biomed. Eng., 2018)

Uncertainty-Aware Model for Reliable Prediction of Sepsis in the ICU. - Marco A. F. Pimentel; Adam Mahdi; Oliver Redfern; Mauro D. Santos; Lionel Tarassenko (CinC, 2019)

Unsupervised Bayesian Inference to Fuse Biosignal Sensory Estimates for Personalizing Care. - Tingting Zhu 001; Marco A. F. Pimentel; Gari D. Clifford; David A. Clifton (IEEE J. Biomed. Health Informatics, 2019)

Remote health monitoring in the time of COVID-19. - Joachim A. Behar; Chengyu Liu 001; Kenta Tsutsui; Valentina D. A. Corino; Janmajay Singh; Marco A. F. Pimentel; Walter Karlen; Philip Warrick; Sebastian Zaunseder; Fernando Andreotti; Maxim Osipov; Patrick E. McSharry; et al. (CoRR, 2020)

A Real-Time Wearable System for Monitoring Vital Signs of COVID-19 Patients in a Hospital Setting. - Mauro D. Santos; Cristian Roman; Marco A. F. Pimentel; Sarah Vollam; Carlos Areia; Louise Young; Peter J. Watkinson; Lionel Tarassenko (Frontiers Digit. Health, 2021)

Beyond Fine-tuning: Unleashing the Potential of Continuous Pretraining for Clinical LLMs. - Clément Christophe; Tathagata Raha; Svetlana Maslenkova; Muhammad Umar Salman; Praveen K. Kanithi; Marco AF Pimentel; Shadab Khan (EMNLP (Findings), 2024)

Med42 - Evaluating Fine-Tuning Strategies for Medical LLMs: Full-Parameter vs. Parameter-Efficient Approaches. - Clément Christophe; Praveen K. Kanithi; Prateek Munjal; Tathagata Raha; Nasir Hayat; Ronnie Rajan; Ahmed Al-Mahrooqi; Avani Gupta; Muhammad Umar Salman; Gurpreet Gosal; Bhargav Kanakiya; Charles Chen; et al. (CoRR, 2024)

Beyond Metrics: A Critical Analysis of the Variability in Large Language Model Evaluation Frameworks. - Marco AF Pimentel; Clément Christophe; Tathagata Raha; Prateek Munjal; Praveen K. Kanithi; Shadab Khan (CoRR, 2024)

Med42-v2: A Suite of Clinical LLMs. - Clément Christophe; Praveen K. Kanithi; Tathagata Raha; Shadab Khan; Marco AF Pimentel (CoRR, 2024)

MEDIC: Towards a Comprehensive Framework for Evaluating LLMs in Clinical Applications. - Praveen K. Kanithi; Clément Christophe; Marco AF Pimentel; Tathagata Raha; Nada Saadi; Hamza Javed; Svetlana Maslenkova; Nasir Hayat; Ronnie Rajan; Shadab Khan (CoRR, 2024)

Named Clinical Entity Recognition Benchmark. - Wadood M. Abdul; Marco AF Pimentel; Muhammad Umar Salman; Tathagata Raha; Clément Christophe; Praveen K. Kanithi; Nasir Hayat; Ronnie Rajan; Shadab Khan (CoRR, 2024)

Population-scale cross-sectional observational study for AI-powered TB screening on one million CXRs. - Prateek Munjal; Ahmed Al-Mahrooqi; Ronnie Rajan; Andrew Jeremijenko; Iftikhar Ahmad; Muhammad Imran Akhtar; Marco A. F. Pimentel; Shadab Khan (npj Digit. Medicine, 2025)

Bridging Language Barriers in Healthcare: A Study on Arabic LLMs. - Nada Saadi; Tathagata Raha; Clément Christophe; Marco AF Pimentel; Ronnie Rajan; Praveen K. Kanithi (CoRR, 2025)

Gene42: Long-Range Genomic Foundation Model With Dense Attention. - Kirill Vishniakov; Boulbaba Ben Amor; Engin Tekin; Nancy A. ElNaker; Karthik Viswanathan; Aleksandr Medvedev; Aahan Singh; Maryam Nadeem; Mohammad Amaan Sayeed; Praveen K. Kanithi; Tiago Magalhaes; Natalia Vassilieva; et al. (CoRR, 2025)