By Dr Reza Argha

Book Chapters

Williams J; Lovell NH; Goodwin N; Argha R; Egglestone P, 2025, 'Healthy at Home', in Handbook of Integrated Care, Springer Nature Switzerland, pp. 1 - 29, http://dx.doi.org/10.1007/978-3-031-25376-8_104-1

Williams J; Lovell NH; Goodwin N; Argha A; Egglestone P, 2025, 'Healthy at Home', in Handbook of Integrated Care, Springer Nature, pp. 1 - 28, http://dx.doi.org/10.1007/978-3-031-25376-8_104-2

Williams J; Lovell NH; Goodwin N; Argha A; Egglestone P, 2025, 'Healthy at Home', in Handbook of Integrated Care, Springer Nature, pp. 705 - 732, http://dx.doi.org/10.1007/978-3-031-96286-8_104

Argha A; Su S; Li L; Nguyen HT; Celler BG, 2018, 'Controllability analysis of 2D systems', in Advances in Discrete-Time Sliding Mode Control, CRC Press, pp. 171 - 185, http://dx.doi.org/10.1201/9781315136141-9

Argha A; Su S; Li L; Nguyen HT; Celler BG, 2018, 'Discrete-time SMC for two-dimensional systems', in Advances in Discrete-Time Sliding Mode Control, CRC Press, pp. 161 - 170, http://dx.doi.org/10.1201/9781315136141-8

Argha A; Su S; Li L; Nguyen HT; Celler BG, 2018, 'DSMC for NCSs involving actuation and measurement consecutive packet losses', in Advances in Discrete-Time Sliding Mode Control, CRC Press, pp. 87 - 110, http://dx.doi.org/10.1201/9781315136141-5

Argha A; Su S; Li L; Nguyen HT; Celler BG, 2018, 'DSMC for NCSs involving consecutive measurement packet losses', in Advances in Discrete-Time Sliding Mode Control, CRC Press, pp. 69 - 86, http://dx.doi.org/10.1201/9781315136141-4

Argha A; Su S; Li L; Nguyen HT; Celler BG, 2018, 'H2-Based Optimal Sparse Sliding Mode Control for Networked Control Systems', in Advances in Discrete-Time Sliding Mode Control, Taylor & Francis, pp. 141 - 158, http://dx.doi.org/10.1201/9781315136141-7

Argha A; Su S; Li L; Nguyen HT; Celler BG, 2018, 'Heart rate regulation during cycle-ergometer exercise via event-driven biofeedback', in Advances in Discrete-Time Sliding Mode Control, CRC Press, pp. 189 - 213, http://dx.doi.org/10.1201/9781315136141-10

Argha A; Su S; Li L; Nguyen HT; Celler BG, 2018, 'Introduction', in Advances in Discrete-Time Sliding Mode Control, CRC Press, pp. 1 - 23, http://dx.doi.org/10.1201/9781315136141-1

Argha A; Su S; Li L; Nguyen HT; Celler BG, 2018, 'LMI-based output feedback DSMC', in Advances in Discrete-Time Sliding Mode Control, CRC Press, pp. 51 - 66, http://dx.doi.org/10.1201/9781315136141-3

Argha A; Su S; Li L; Nguyen HT; Celler BG, 2018, 'LMI-based state feedback discrete-time SMC for uncertain systems', in Advances in Discrete-Time Sliding Mode Control, CRC Press, pp. 27 - 49, http://dx.doi.org/10.1201/9781315136141-2

Argha A; Su S; Li L; Nguyen HT; Celler BG, 2018, 'Sparse Observer-based discrete-time SMC for NCSs', in Advances in Discrete-Time Sliding Mode Control, CRC Press, pp. 113 - 139, http://dx.doi.org/10.1201/9781315136141-6

Argha A; Su SW, 2017, 'State-Feedback Output Tracking Via a Novel Optimal-Sliding Mode Control', in Recent Developments in Sliding Mode Control Theory and Applications, InTech, http://dx.doi.org/10.5772/67468

Journal articles

Parker G; Phan J; Lovell NH; Subbiah RN; Vandenberg JI; Hill AP; Argha A, 2026, 'MultiECGNet: Evaluation of a Deep-Learning Ensemble Method for Image-Based 12-Lead Electrocardiographic Detection of Atrial Fibrillation', Cjc Open, 8, pp. 1074 - 1087, http://dx.doi.org/10.1016/j.cjco.2026.03.022

Xu X; Nureen L; Richardson A; Sprogyte L; Tian Y; Habibalahi A; Argha A; Girolamo ND; Goldys EM, 2026, 'Contrastive learning-based spatial-spectral feature fusion for detecting limbal stem cell deficiency via multispectral autofluorescence imaging', Jphys Photonics, 8, http://dx.doi.org/10.1088/2515-7647/ae58df

Huang Y; Liu H; Argha A; Celler BG; Savkin AV; Yu G; Song R; Shi B; Su SW, 2026, 'Practical Multiple Model Switching sEMG Decoders for Motion Intention Description in Rehabilitation Robot Control', IEEE Transactions on Medical Robotics and Bionics, 8, pp. 785 - 797, http://dx.doi.org/10.1109/TMRB.2026.3682646

Bakhshayeshi I; Hosseini MM; Argha A; Zahedi R; Lovell NH; Alinejad-Rokny H, 2026, 'CLinNET: An Interpretable and Uncertainty-Aware Deep Learning Framework for Multi-Modal Clinical Genomics', Advanced Science, 13, pp. e12842, http://dx.doi.org/10.1002/advs.202512842

Ooi JH; Goh CH; Argha A; Tan MP; Beh HC; Sari NAM; Lovell NH; Lim E, 2026, 'Cluster-Based Insights into Cardiovascular and Autonomic Responses to Head-Up Tilt in Hypertension', Computer Methods and Programs in Biomedicine, 275, pp. 109202, http://dx.doi.org/10.1016/j.cmpb.2025.109202

Ooi JH; Argha A; Goh CH; Tan MP; Lovell NH; Lim E, 2026, 'Mechanistic Interpretation of Beat-to-Beat Cardiovascular Variability in Hypertension Using a Closed-Loop Cardiovascular Model', International Journal for Numerical Methods in Biomedical Engineering, 42, pp. e70148, http://dx.doi.org/10.1002/cnm.70148

Argha A; Alinejad-Rokny H; Hajati F; Magdy J; Li J; Lim ZZ; Yu J; Yang M; Butcher K; Ooi SY; Lovell NH, 2026, 'ECG-Adapt: A Novel Framework for Robust Electrocardiogram Classification Across Diverse Populations and Recording Conditions', IEEE Transactions on Biomedical Engineering, PP, pp. 1 - 12, http://dx.doi.org/10.1109/TBME.2026.3653051

Zahedi R; Argha A; Farbehi N; Bakhshayeshi I; Porntaveetus T; Ye Y; Lovell NH; Alinejad-Rokny H, 2026, 'SemanticST: A Scalable Multi-Contextual Graph Learning Framework for Uncovering Spatial Niches and Robust Multi-Sample Integration in Spatial Transcriptomics', Advanced Science, http://dx.doi.org/10.1002/advs.77003

Sadeghi A; Hajati F; Argha A; H Lovell N; Yang M; Alinejad-Rokny H; Lovell N, 2026, 'Interpretable graph-based models on multimodal biomedical data integration: a technical review and benchmarking', Nature Communications, 17, pp. 5405 - 5405, http://dx.doi.org/10.1038/s41467-026-74126-5

Shamsi A; Becirovic R; Alinejad-Rokny H; Mohammadi A; Argha A, 2025, 'Gradient surgery: A necessity for robust test-time adaptation for detecting casting defects', Engineering Applications of Artificial Intelligence, 161, http://dx.doi.org/10.1016/j.engappai.2025.112039

Hansun S; Argha A; Alinejad-Rokny H; Alizadehsani R; Gorriz JM; Liaw ST; Celler BG; Marks GB, 2025, 'A New Ensemble Transfer Learning Approach with Rejection Mechanism for Tuberculosis Disease Detection', IEEE Transactions on Radiation and Plasma Medical Sciences, 9, pp. 433 - 446, http://dx.doi.org/10.1109/TRPMS.2024.3474708

Argha A; Alinejad-Rokny H; Baumgartner M; Schreier G; Celler BG; Redmond SJ; Butcher K; Ooi SY; Lovell NH, 2025, 'A Novel Deep Ensemble Method for Selective Classification of Electrocardiograms', IEEE Transactions on Biomedical Engineering, 72, pp. 833 - 842, http://dx.doi.org/10.1109/TBME.2024.3476088

Hansun S; Argha A; Bakhshayeshi I; Wicaksana A; Alinejad-Rokny H; Fox GJ; Liaw ST; Celler BG; Marks GB, 2025, 'Diagnostic Performance of Artificial Intelligence–Based Methods for Tuberculosis Detection: Systematic Review', Journal of Medical Internet Research, 27, http://dx.doi.org/10.2196/69068

Zobeiri A; Rezaee A; Hajati F; Argha A; Alinejad-Rokny H, 2025, 'Post-Cardiac arrest outcome prediction using machine learning: A systematic review and meta-analysis', International Journal of Medical Informatics, 193, http://dx.doi.org/10.1016/j.ijmedinf.2024.105659

Pushpakumara B; Becirovic R; van Dorst J; Coffey M; Halim J; Beheshti B; Argha A; Alinejad-Rokny H; Ooi C, 2025, '16 Artificial intelligence integrating gut microbiome multi-omics to predict clinical outcomes in children with cystic fibrosis', Journal of Cystic Fibrosis, 24, pp. s9, http://dx.doi.org/10.1016/s1569-1993(25)01636-4

Ooi JH; Lim R; Seng H; Tan MP; Goh CH; Lovell NH; Argha A; Beh HC; Md Sari NA; Lim E, 2024, 'Non-invasive parameters of autonomic function using beat-to-beat cardiovascular variations and arterial stiffness in hypertensive individuals: a systematic review', Biomedical Engineering Online, 23, pp. 23, http://dx.doi.org/10.1186/s12938-024-01202-6

Sadeghi A; Hajati F; Rezaee A; Sadeghi M; Argha A; Alinejad-Rokny H, 2024, '3DECG-Net: ECG fusion network for multi-label cardiac arrhythmia detection', Computers in Biology and Medicine, 182, http://dx.doi.org/10.1016/j.compbiomed.2024.109126

Celler BG; Yong A; Rubenis I; Butlin M; Argha A; Rehan R; Avolio A, 2024, 'Evaluation of the oscillometric method for noninvasive blood pressure measurement during cuff deflation and cuff inflation with reference to intra-arterial blood pressure', Journal of Hypertension, 42, pp. 1235 - 1247, http://dx.doi.org/10.1097/HJH.0000000000003719

Celler BG; Yong A; Rubenis I; Butlin M; Argha A; Rehan R; Avolio A, 2024, 'Comparison of cuff inflation and cuff deflation brachial sphygmomanometry with intra-arterial blood pressure as reference', Journal of Hypertension, 42, pp. 968 - 976, http://dx.doi.org/10.1097/HJH.0000000000003659

Celler BG; Yong A; Rubenis I; Butlin M; Argha A; Rehan R; Avolio A, 2024, 'Validation of oscillometric ratio and maximum gradient methods for non-invasive blood pressure measurement with intra-arterial blood pressure measurements as reference', Journal of Hypertension, 42, pp. 1075 - 1085, http://dx.doi.org/10.1097/HJH.0000000000003698

Celler BG; Yong A; Rubenis I; Butlin M; Argha A; Rehan R; Avolio A, 2024, 'Accurate detection of Korotkoff sounds reveals large discrepancy between intra-arterial systolic pressure and simultaneous noninvasive measurement of blood pressure with brachial cuff sphygmomanometry', Journal of Hypertension, 42, pp. 873 - 882, http://dx.doi.org/10.1097/HJH.0000000000003651

Celler BG; Argha A, 2024, 'Measuring blood pressure from Korotkoff sounds as the brachial cuff inflates on average provides higher values than when the cuff deflates', Physiological Measurement, 45, http://dx.doi.org/10.1088/1361-6579/ad39a2

Zahedi R; Ghamsari R; Argha A; Macphillamy C; Beheshti A; Alizadehsani R; Lovell NH; Lotfollahi M; Alinejad-Rokny H, 2024, 'Deep learning in spatially resolved transcriptfomics: a comprehensive technical view', Briefings in Bioinformatics, 25, pp. bbae082 - bbae082, http://dx.doi.org/10.1093/bib/bbae082

Rezaei A; Mascheroni A; Stevens MC; Argha R; Papandrea M; Puiatti A; Lovell NH, 2023, 'Unobtrusive Human Fall Detection System Using mmWave Radar and Data Driven Methods', IEEE Sensors Journal, 23, pp. 7968 - 7976, http://dx.doi.org/10.1109/JSEN.2023.3245063

Celler BG; Argha A, 2023, 'Retraction: Measuring blood pressure from Korotkoff sounds as the brachial cuff inflates on average provides higher values than when the cuff deflates (Physiological Measurement (2022) 43 (045001) DOI: 10.1088/1361-6579/ac278f)', Physiological Measurement, 44, http://dx.doi.org/10.1088/1361-6579/acc0fd

Labani M; Beheshti A; Argha A; Alinejad-Rokny H, 2023, 'A Comprehensive Investigation of Genomic Variants in Prostate Cancer Reveals 30 Putative Regulatory Variants', International Journal of Molecular Sciences, 24, http://dx.doi.org/10.3390/ijms24032472

Rezaei A; Stevens MC; Argha A; Mascheroni A; Puiatti A; Lovell NH, 2023, 'An Unobtrusive Human Activity Recognition System Using Low Resolution Thermal Sensors, Machine and Deep Learning', IEEE Transactions on Biomedical Engineering, 70, pp. 115 - 124, http://dx.doi.org/10.1109/TBME.2022.3186313

Hansun S; Argha A; Liaw ST; Celler BG; Marks GB, 2023, 'Machine and Deep Learning for Tuberculosis Detection on Chest X-Rays: Systematic Literature Review', Journal of Medical Internet Research, 25, http://dx.doi.org/10.2196/43154

Argha A; Celler BG; Yong A; Rubenis I; Butlin M; Avolio A, 2023, 'New Perspectives on Non-invasive Blood Pressure Measurement', Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society EMBS, http://dx.doi.org/10.1109/EMBC40787.2023.10340757

Hansun S; Argha A; Alinejad-Rokny H; Liaw ST; Celler BG; Marks GB, 2023, 'Revisiting Transfer Learning Method for Tuberculosis Diagnosis', Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society EMBS, http://dx.doi.org/10.1109/EMBC40787.2023.10340441

Celler B; Yong A; Rubenis I; Butlin M; Argha R; Rehan R; Avolio A, 2023, 'KOROTKOFF SOUNDS DO NOT PROVIDE AN ACCURATE ESTIMATE OF SYSTOLIC AND DIASTOLIC PRESSURE IN SPHYGMOMANOMETRY AND CANNOT BE USED AS A CALIBRATION STANDARD FOR NIBP DEVICES', Journal of Hypertension, 41, pp. e114 - e115, http://dx.doi.org/10.1097/01.hjh.0000939912.77537.9f

Argha A; Celler BG; Alinejad-Rokny H; Lovell NH, 2022, 'Blood Pressure Estimation From Korotkoff Sound Signals Using an End-to-End Deep-Learning-Based Algorithm', IEEE Transactions on Instrumentation and Measurement, 71, pp. 1 - 10, http://dx.doi.org/10.1109/TIM.2022.3217865

Celler BG; Argha A, 2022, 'Measuring blood pressure from Korotkoff sounds as the brachial cuff inflates on average provides higher values than when the cuff deflates', Physiological Measurement, 43, http://dx.doi.org/10.1088/1361-6579/ac278f

Argha A; Celler BG; Lovell NH, 2022, 'Artificial Intelligence Based Blood Pressure Estimation from Auscultatory and Oscillometric Waveforms: A Methodological Review', IEEE Reviews in Biomedical Engineering, 15, pp. 152 - 168, http://dx.doi.org/10.1109/RBME.2020.3040715

Celler BG; Butlin M; Argha A; Tan I; Yong A; Avolio A, 2021, 'Are Korotkoff Sounds Reliable Markers for Accurate Estimation of Systolic and Diastolic Pressure Using Brachial Cuff Sphygmomanometry?', IEEE Transactions on Biomedical Engineering, 68, pp. 3593 - 3601, http://dx.doi.org/10.1109/TBME.2021.3079578

Argha A; Celler BG; Lovell NH, 2021, 'A novel automated blood pressure estimation algorithm using sequences of korotkoff sounds', IEEE Journal of Biomedical and Health Informatics, 25, pp. 1257 - 1264, http://dx.doi.org/10.1109/JBHI.2020.3012567

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