Publications
Note: The most up-to-date publications are available on my Google Scholar page.
Journal Papers (23)
- Nørgaard JC, Zargari Marandi R, Ilett EE, Gulay A, Paredes R, Lundgren JD, Jørgensen M, Sengeløv H. The gut microbiome and its resistome as predictors of clinical infections and phenotypic antibiotic resistance in hematopoietic stem cell transplant recipients. The Journal of infectious diseases. 2025 Jun 23:jiaf330.
- Zargari Marandi R, Hertz FB, Thomassen JQ, Rasmussen SC, Frikke-Schmidt R, Frimodt-Møller N, Nielsen KL, MacPherson CR. Prediction of bloodstream infection using machine learning based primarily on biochemical data. Scientific Reports. 2025 May 20;15(1):17478.
- Zargari Marandi R, Frahm AS, Milojevic M. Datasheets for AI and medical datasets (DAIMS): a data validation and documentation framework before machine learning analysis in medical research. arXiv preprint arXiv:2501.14094. 2025 Jan 23.
- Zargari Marandi R, Frahm AS, Lundgren J, Murray DD, Milojevic M. Medical artificial intelligence toolbox (MAIT): an explainable machine learning framework for binary classification, survival modelling, and regression analyses. arXiv preprint arXiv:2501.04547. 2025 Jan 8.
- Zargari Marandi, R. ExplaineR: an R package to explain machine learning models. Bioinformatics Advances. 2024; vbae049 (link)
- Faitova T, Zargari Marandi R, Niemann C. Explainable machine learning to identify chronic lymphocytic leukemia based on gut microbiome data. Leukemia & Lymphoma 2023, Vol. 64, pp. S187-S188.
- Nørgaard, JC, Jørgensen, M, Moestrup, KS, Ilett, EE, Zucco, AG, Zargari Marandi, R, Julian, M.N., Paredes, R., Lundgren, J.D., Sengeløv, H. and MacPherson, C. Impact of antibiotic treatment on the gut microbiome and its resistome in hematopoietic stem cell transplant recipients. The Journal of Infectious Diseases, jiad. 2023; 33
- Zargari Marandi, R, Leung, P, Sigera, C, Murray, DD, Weeratunga, P., Fernando, D., Rodrigo, C., Rajapakse, S. and MacPherson, C.R. Development of a machine learning model for early prediction of plasma leakage in suspected dengue patients. PLOS Neglected Tropical Diseases. 2023; 17(3):e10758
- Jørgensen, M, Nørgaard, JC, Ilett, EE, Zargari Marandi, R, Noguera-Julian, M., Paredes, R., Murray, D.D., Lundgren, J., MacPherson, C.R. and Sengeløv, H. Metabolic Potential of the Gut Microbiome Is Significantly Impacted by Conditioning Regimen in Allogeneic Hematopoietic Stem Cell Transplantation Recipients. International Journal of Molecular Sciences. 2022; 23(19):11115
- Zucco, AG, Agius, R, Svanberg, R, Moestrup, KS, Zargari Marandi, R, MacPherson, CR, Lundgren, J, Ostrowski, SR, Niemann CU. Personalized survival probabilities for SARS-CoV-2 positive patients by explainable machine learning. Scientific Reports. 2022; 12(1):13879
- Zargari Marandi, R, Jørgensen, M, Ilett, EE, Nørgaard, JC, Noguera-Julian, M. Pre-Transplant Prediction of Acute Graft-versus-Host Disease Using the Gut Microbiome. Cells. 2022; 11(24):4089
- Zargari Marandi, R, Leung, P, Sigera, C, Murray, DD, Weeratunga, P, Fernando, D. A data-driven approach to predict plasma leakage using explainable machine learning. Open Forum Infectious Diseases, 9 (Supplement_2), ofac492. 2022; 999
- Larsen, AST, Norheim, KL, Zargari Marandi, R, Hansen, EA, Madeleine, P. A field study investigating sensory manifestations in recreational female cyclists using a novel female-specific cycling pad. Ergonomics. 2021; 64(5):571-581
- Madeleine, P, Zargari Marandi, R, Norheim, KL, Andersen, JB, Samani, A. Sitting dynamics during computer work are age-dependent. Applied Ergonomics. 2021; 93:103391
- Zargari Marandi, R, Fjelsted, CA, Hrustanovic, I, Olesen, R Dan, Gazerani, P. Eye movements in response to pain-related feelings in the presence of low and high cognitive loads. Behavioral Sciences. 2020; 10(5):92
- Zargari Marandi, R, Madeleine, P, Omland, Ø, Vuillerme, N, Samani, A. An oculometrics-based biofeedback system to impede fatigue development during computer work: A proof-of-concept study. PLoS One. 2019; 14(5):e213704
- Zargari Marandi, R, Madeleine, P, Omland, Ø, Vuillerme, N, Samani, A. Eye movement characteristics reflected fatigue development in both young and elderly individuals. Scientific Reports. 2018; 8(1):13148
- Zargari Marandi, R, Gazerani, P. Aging and eye tracking: in the quest for objective biomarkers. Future Neurology, 14 (4), FNL. 2019; 33
- Zargari Marandi, R, Sabzpoushan, SH. Qualitative modeling of the decision-making process using electrooculography. Behavior Research Methods. 2015; 47:1404-1412
- Bajoulvand, A, Zargari Marandi, R, Daliri, MR, Sabzpoushan, SH. Analysis of folk music preference of people from different ethnic groups using kernel-based methods on EEG signals. Applied Mathematics and Computation. 2017; 307:62-70
- Zargari Marandi, R, Sabzpoushan, SH. Using eye movement analysis to study auditory effects on visual memory recall. Basic and Clinical Neuroscience. 2014; 5(1):55
- Falah, N, Zargari Marandi, R, Sabzpoushan, SH. Visual cue effects on individual’s response prediction to intelligence questions using eye movement analysis. IOSR Journal of Electrical and Electronics Engineering. 2014; 9(1):6-10
- Zargari Marandi, R, Sabzpoushan, SH. Improving reading activity recognition in daily life situations using DTW-based string matching algorithm in EOG signal processing. Iranian Journal of Biomedical Engineering. 2013; 6:279-285
Conference Proceedings and Abstracts (16)
- Zargari Marandi, R. Enhanced model interpretation using the “explaineR” package in R. EMBL Symposium on AI and biology, Heidelberg, Germany, 2024
- Zargari Marandi, R. An introduction to the “explaineR” package in R for enhanced model interpretation. Danish Digitalization, Data Science and AI 1.0, Nyborg, Denmark, 2024
- Zargari Marandi, R, Nørgaard JC, Ilett, EE, Julian, MN, Paredes, R, Lundgren, JD, Jørgensen, M, Sengeløv, H. An interpretable machine learning model using the gut microbiome to predict clinical E. faecium infection in stem cell transplant recipients. Infectious Diseases Week (IDWEEK), Washington D.C., USA, 2023
- Milojevic, M, Zargari Marandi, R, Sherman, B, Chang, W, Lundgren, J, Murray, DD, MacPherson, CR, Leung, P. Polygenic Interactive Discovery System (PIDS) An interactive knowledgebase for exploring complex genetics networks. American Society of Human Genetics (ASHG), Washington D.C., USA, 2023
- Zargari Marandi, R, Leung, P, Sigera, C, Murray, DD, Weeratunga, P, Fernando, D, Rodrigo, C, Rajapakse, S, and MacPherson, C.R. A data-driven approach to predict plasma leakage using explainable machine learning. Infectious Diseases Week (IDWEEK), Washington D.C., USA, 2022
- Zargari Marandi, R, Madeleine, PM, Vuillerme, N, Samani, A. Ocular-based biofeedback to impede fatigue during computer work. Kick-off: AI for the people, Aalborg, Denmark, 2019
- Madeleine, PM, Zargari Marandi, R, Norheim, KL, Samani, A. Sitting dynamics are age-dependent during computer work. 10th International Scientific Conference on the Prevention of Work-Related Musculoskeletal Disorders (PREMUS), Bologna, Italy, 2019
- Samani, A, Zargari Marandi, R, Madeleine, PM, Omland, Ø, Vuillerme, N. Improved planning for active pauses during computer work via ocular biofeedback. 10th International Scientific Conference on the Prevention of Work-Related Musculoskeletal Disorders (PREMUS), Bologna, Italy, 2019
- Zargari Marandi, R, Madeleine, P, Vuillerme, N, Omland, Ø, Samani, A. Early detection of fatigue based on heart rate in sedentary computer work in young and old adults. Congress of the International Ergonomics Association, Florence, Italy, 2018
- Madeleine, P, Zargari Marandi, R, Norheim, KL, Vuillerme, N, Samani, A. Characterization of the dynamics of sitting during a sustained and mentally demanding computer task. Congress of the International Ergonomics Association, Florence, Italy, 2018
- Zargari Marandi, R, Madeleine, P, Vuillerme, N, Samani, A. Heart rate monitoring for the detection of changes in mental demands during computer work. World Congress on Medical Physics and Biomedical Engineering, Prague, Czech Republic, 2018
- Zargari Marandi, R, Samani, A, Madeleine, P. The level of mental load during a functional task is reflected in oculometrics. EMBEC &NBC 2017: Joint Conference of the European Medical and Biological, Tampere, Finland, 2018
- Zargari Marandi, R, Madeleine, P, Vuillerme, N, Omland, Ø, Samani, A. Heart rate monitoring for the detection of changes in mental demands during computer work. World Congress on Medical Physics and Biomedical Engineering, 2018
- Zargari Marandi, R, Madeleine, P, Jeppesen, GK, Vuillerme, N, Samani, A. Towards mental fatigue detection from physiological and behavioral signals during computer work considering the aging effect. Program & Abstracts, 8th Annual Meeting of the Danish Society of Biomechanics, Aalborg, Denmark, 2016
- Falah, N, Zargari Marandi, R, Sabzpoushan, SH. Individual’s Response Prediction to Proposed Questions Using Their Eye Movement Analysis. Basic and Clinical Neuroscience (BCNC), Tehran, Iran, 2012
- Zargari Marandi, R, Sabzpoushan, SH. Reading activity recognition using electrical signals originated from eye movements in people's daily life situations. Iranian Conference on Biomedical Engineering, Tehran, Iran, 2012
