digital health, health geomatics, space physiology, cardiac imaging, data processing, IT tools for regulatory science
324
Scopus Publications
Scopus Publications
Short-term exposure to air pollution and acute health effects in a low-pollution region, Baden-Wurttemberg, Germany Amruta Umakant Mahakalkar, Lorenzo Gianquintieri, Lorenza Gilardi, Thilo Erbertseder, Frank Baier, Simon Dally, Maximilian Leon Arnold, Maxana Baltruweit, Charles R. S. Hatfield, Chelsea Williams Cleary, Enrico Gianluca Caiani Environmental Sciences Europe, 2026 Background The acute effects of short-term air pollution exposure on human health in regions with low pollution concentrations is not widely explored. This study assesses the risk of mortality and morbidity linked to short-term exposure to NO 2 and PM 2.5 in Baden-Wurttemberg, Germany, a region that broadly complies with European air quality standards and global guidelines. Methods We applied a two-stage time-stratified case-crossover design followed by meta-analyses to estimate the relative risks of mortality (all-cause), hospital admission and sick leave (all-cause and cause-specific). Health outcomes between 2013 and 2022 were collected from the regional public insurance records, and exposures were derived from ensemble air quality models. Effect modification by SARS‑CoV‑2 (COVID-19) years, age, sex and urbanisation were also evaluated. Results Short-term exposure to PM 2.5 and NO 2 was associated with increased risks of several acute health outcomes. Associations were observed for all-cause and cardiovascular-related hospital admissions, as well as sick leave, even at concentrations near the current daily limits set by the European Union. Effect estimates were generally more pronounced for NO 2 and concentrated at immediate lag days. Exposure–response relationships were non-linear across health outcomes, and little evidence of effect modification by demographic or urbanisation characteristics was observed. Conclusion This study provides evidence of acute health risks from short-term exposure to PM 2.5 and NO 2 , even at concentrations below the suggested daily permissible levels, emphasising the need to reassess existing air quality standards.
A regulation-based project lifecycle for innovative medical devices: Delphi consensus from an Italian expert panel Maria Raffaella Martina, Mattia Barsanti, Marco Praticò, Salvatore Tallarico, Francesca Giambi, Francesca Rossi, Luisa Pellegrini, Elisabetta Bianchini, Silvia Asaro, Benedetta Becherini, Enrico Gianluca Caiani, Valentina Calderai, Marina Carbone, Sara Crocetti, Carmelo De Maria, Nicole Di Lascio, Martina Francesconi, Andrea Frosini, Vincenzo Gemignan, Francesco Mazzini, Chiara Menicucci, Alessandra Pugi, Alice Ravizza, Ilaria Romagnuolo, Gianluca Sferrazza, Luigi Spaziante, Silvia Tamarri, Gianluca Villa Health Policy and Technology, 2026 This work aimed to identify effective items to be considered throughout the lifecycle of research projects developing medical devices, in accordance with MDR EU 2017/745, to support adoption in practice of the resulting innovation. A modified Delphi method was designed by a team of facilitators to collect/analyze suggestions from a selected panel of Italian experts with experience in medical device regulation and development. The team developed a questionnaire consisting of 46 questions organized according to key phases of a research project lifecycle: concept phase, research project design and plan, project execution and device development, project monitoring and control, and project closure.
Study design of the InTakeCare trial: a digital health solution to monitor and improve medication adherence in hypertensive patients Emanuele Tauro, Alessandra Gorini, Martina Vigorè, Lucia Zanotti, Alessandro Croce, Martino F Pengo, Davide Soranna, Antonella Zambon, Gianfranco Parati, Enrico Gianluca Caiani, Grzegorz Bilo European Heart Journal Digital Health, 2026 Aims The InTakeCare Trial aims to develop, implement, and clinically validate a novel digital health solution (DHS) to improve medication adherence (MA) in patients with arterial hypertension. This initiative responds to the global issue of poor MA to long-term pharmacological treatments, compromising patient outcomes and increasing healthcare costs. Methods and results This study is structured as a multidisciplinary, single-centre, randomized, open, blinded-endpoint clinical trial. In the preliminary phase, focus groups and a survey are conducted to develop patient personas and fictional archetypes that represent real people in the development of interventions, informing the personalization of a mobile application for patients and a web dashboard for physicians. The developed DHS is designed to deliver tailored reminders, health messages, and real-time monitoring of MA. After a pilot usability phase, 206 hypertensive patients will be randomized to standard care or active intervention for a 3-month period, followed by a 2-month observational phase to assess the persistence of intervention effects on adherence. MA is measured via direct (e.g. plasma drug levels) and indirect (e.g. self-reports) methods, alongside ambulatory blood pressure monitoring and behavioural engagement scales. Conclusion This study offers a novel, theory-informed framework for the design of personalized DHS in chronic disease management. Leveraging user-centred design and machine learning-driven persona classification, InTakeCare introduces a scalable, evidence-based solution that addresses individual variability in adherence behaviours. The trial’s findings are expected to generate insights into the efficacy, usability, and acceptability of personalized DHS in routine clinical practice, providing a replicable model for future DHS in other chronic conditions.
Cuffless Blood Pressure Monitoring Devices: Technical Foundations and Clinical Implications: Scientific Statement of the European Society of Cardiology (ESC) Working Group on e-Cardiology, the ESC Council on Hypertension, and the European Association of Preventive Cardiology of the ESC Gianfranco Parati, Juan Eugenio Ochoa, Ana Abreu, Sofie Brouwers, Rosa Maria Bruno, Enrico G Caiani, Ruben Casado-Arroyo, Matthijs Cluitmans, Constantinos H Davos, Raffaele De Lucia, Polychronis Dilaveris, Federico Guerra, Henner Hanssen, Magnus T Jensen, Thomas Kahan, Harold Kemps, Paul Leeson, Emanuela T Locati, Joost Lumens, Felix Mahfoud, José Millet Roig, Stefano Omboni, Theodoros G Papaioannou, Pyotr G Platonov, Julia Ramirez, Mark J Schuuring, Isabella Sudano, Roderick Willem Treskes, Alberto Avolio, Paolo Castiglioni European Journal of Preventive Cardiology, 2026 Cuffless blood pressure (BP) monitoring devices represent a promising innovation in hypertension management. This scientific statement provides a comprehensive update on these emerging technologies, their specific validation requirements, their potential clinical applications, and their present and future challenges. These devices generate considerable interest by enabling non-invasive BP measurement without arterial occlusion, thereby eliminating the discomfort associated with traditional cuff-based monitoring, particularly during sleep. The technologies on which these devices are based comprise a heterogeneous group, primarily utilizing pulse wave propagation time or waveform analysis through contact or non-contact sensors. They can be categorized as continuous or intermittent, automated or manual, calibration-free or requiring cuff/demographic calibration, and wearable or stationary. This technological diversity necessitates validation protocols distinct from those used for conventional cuff-based monitors, with specific requirements for each device category. Potential clinical applications include widespread out-of-office BP monitoring, unbiased assessment of circadian BP patterns and BP variability, improved detection of nocturnal hypertension, enhanced treatment adherence and long-term BP control, and continuous monitoring in hospital settings. Additionally, their lower cost compared with conventional technologies could enhance the early detection of hypertension in resource-limited settings. However, due to insufficient accuracy validation, this scientific statement does not recommend their use in clinical decisions in spite of their potential interest, in line with international guidelines not recommending their use in hypertension management. Key challenges ahead include developing standardized validation protocols, establishing normative BP data, managing the resulting burden on clinicians in handling huge volumes of data, exploring additional haemodynamic parameters, and advancing sensor technology, mathematical models, and algorithms.
Heart rate variability during wakefulness reflects sleep apnea indicators but remains context-dependent Paniz Balali, Ghita Omari, Amin Hossein, Elza Abdessater, Celia Batonon, Hannes Hagson, Benjamin Wacquier, Carolina Varon, Nicholas H. van den Berg, Jeroen Van Cutsem, Martine Van Puyvelde, Michael Furian, Samuel Verges, Martina Anna Maggioni, Enrico Gianluca Caiani, Olivier Debeir, Matthieu Hein, Philippe van de Borne, Nathalie Pattyn, Vitalie Faoro, Jeremy Rabineau Frontiers in Physiology, 2026 Sleep-disordered breathing (SDB), particularly obstructive sleep apnea (OSA), is a major public health issue linked to cardiovascular morbidity and mortality. While polysomnography (PSG) remains the diagnostic gold standard, its complexity and cost limit widespread use. Heart rate variability (HRV) has emerged as a promising non-invasive alternative for assessing autonomic dysregulation associated with SDB, even when measured outside sleep periods. However, its reliability in extreme settings remains unclear. This study investigates whether time-domain HRV parameters measured during wakefulness reflect nocturnal SDB severity across two populations: 11 healthy men exposed to prolonged high-altitude hypoxia during a one-year stay at the Antarctic Concordia station (equivalent to ~3,800 m) and 35 clinically suspected OSA men. HRV metrics were compared against the apnea-hypopnea index (AHI) and pulse oximetry-derived respiratory indices. In the clinical group, HRV showed significant associations with OSA severity, including a negative correlation between root mean square of successive differences (RMSSD) and AHI (r = -0.524, p = 0.001) and a positive correlation between RMSSD and mean nocturnal oxygen saturation (SpO 2 ) (r = 0.703, p < 0.001). In the high-altitude group, weaker but significant longitudinal associations were observed only in nights without PSG recordings, including correlations between RMSSD and SpO 2 (r = 0.339, p = 0.016), and between deceleration capacity and SpO 2 (r = -0.200, p = 0.009). While HRV may not serve as a definitive diagnostic marker, it could function as an early indicator of physiological stress and potential SDB, particularly in resource-limited or controlled environments. These findings underscore the need for context-specific validation of HRV-based screening tools prior to clinical implementation.
Impact of Spatial Aggregation Level on Environmental Epidemiology Analyses: A Case Study of Combined Heat and Ozone Effects on Cardiovascular Emergencies Lorenzo Gianquintieri, Amruta Umakant Mahakalkar, Enrico Gianluca Caiani ISPRS International Journal of Geo Information, 2026 Background: Spatial granularity plays a central role in the analysis of environmental hazards, yet its influence on health impact assessment remains overlooked. This study explicitly treats spatial aggregation level as a methodological variable and examines how different spatial aggregation strategies affect the association between high temperature, ozone, and out-of-hospital cardiovascular emergencies recorded by emergency medical services. Methods: A distribution thresholding approach is applied to both the environmental hazard and the health outcome. The analysis is conducted at three spatial levels: a fully aggregated region-wide level, population-based districts, and a combined strategy that cumulates district level results. The model estimates the Odds Ratio for each configuration. Results: The combined district-based strategy provides the most robust association, with an Odds Ratio of 1.13 (95% confidence interval 1.10 to 1.17). The region-wide and single district approaches show weaker or inconsistent significance. The findings indicate that the spatial level of analysis heavily impacts both the significance and the interpretability of the statistical results. Conclusions: The study demonstrates that the spatial structure of data strongly influences the detection of short-term health effects linked to environmental stressors. This contributes to the geomatics field by explicitly isolating spatial aggregation as an analytical dimension, demonstrating how spatial aggregation choices and explicit consideration of the Modifiable Areal Unit Problem can enhance methodological accuracy, support clearer spatial reasoning, and guide the development of more reliable territorial health indicators.
Adapt or specialize? A comprehensive evaluation of adapted SAM versus task-specific CNNs for fetal abdominal segmentation Maria Chiara Fiorentino, Lorenzo Federici, Alessandro Pietro La Camera, Enrico Gianluca Caiani Computer Methods and Programs in Biomedicine, 2026 BACKGROUND: The fetal abdomen is crucial in prenatal screening, offering key insights into fetal growth and congenital anomalies. However, segmenting internal abdominal structures in ultrasound (US) remains challenging due to anatomical variability, overlapping organs, and low contrast. While CNN-based models have shown strong performance in fetal head analysis, most existing methods focus on biometric measurements (e.g., head or abdominal circumference), leaving internal abdominal organ segmentation largely underexplored. Recently, foundation models like the Segment Anything Model (SAM) have emerged as flexible alternatives, enabling zero- or few-shot segmentation. Yet, their performance on fetal US remains poorly understood, and the need for adaptation is still an open question. METHODS: We compare two segmentation strategies: (1) task-specific CNNs, including UNet, Attention UNet, nnUNet, DeepLabv3+, and their focal-loss variants; and (2) adapted SAM-based models. The latter includes zero-shot variants (SAMPoint, SAMBBox), pre-trained models (SAM Med2DBBox, MedSAMBBox), and adapted configurations, including lightweight fine-tuned models (SAM-LoRA, MedSAM-FrozenEncoder) and SAM Med2D variants with adapted layers. Experiments are conducted on a curated dataset of fetal abdominal US images with manual segmentations of the liver, stomach, artery, and umbilical vein. Performance is evaluated using Dice Similarity Coefficient, Intersection over Union, and precision. Statistical significance is assessed via pairwise Friedman chi-square tests. RESULTS & CONCLUSIONS: Zero-shot SAM variants performed poorly, particularly on small or low-contrast structures. In contrast, adapted SAM models consistently outperformed CNNs, reaching DSC scores up to 0.90 (liver) and 0.80 (artery). Prompt-based interaction enables semi-automated, human-in-the-loop workflows, supporting clinical applicability.
Open-Set Recognition of Human Activities from Head-Mounted Inertial Sensor Angela Cortese, Sarah Solbiati, Alice Scandelli, Andrea Giudici, Niccolò Antonello, Diana Trojaniello, Giacomo Boracchi, Enrico Gianluca Caiani Sensors, 2026 Human activity recognition (HAR) based on inertial measurement units (IMUs) embedded in wearable devices has gained increasing relevance in healthcare, wellness, and fitness monitoring. However, most existing classification methods assume a closed-set setting, where all activity classes need to be defined during training, which limits their applicability in real-world environments where unseen or unexpected activities are present. To overcome this limitation, we adopt an open-set recognition (OSR) framework that requires minimal changes to the HAR classifiers traditionally employed for this purpose. We also provide an extensive empirical evaluation based on a leave-one-activity-out validation protocol applied to two datasets with IMU signals acquired from smart eyewear: a proprietary dataset and the publicly available UCA-EHAR dataset. A lightweight one-dimensional convolutional neural network was trained to classify six-axis IMU data across common activities. We assess open-set HAR performance using several methods requiring limited computational overhead and operating in the logit space, including maximum logit, Gaussian Mixture Models, Kernel Density Estimation, OpenMax, and Nearest Neighbor Distance Ratio. Robust identification of unknown activities was achieved, with area under the ROC curve > 0.8. These findings highlight the potential of low-complexity open-set approaches for real-time HAR on resource-constrained wearable platforms, supporting the development of adaptive and reliable sensor-based recognition systems for real-world use.
A GPT-reinforced social robot for patient communication: a pilot study Jan-Willem J. R. van 't Klooster, Michela Capasso, Daan van Gorssel, Elvis Vrolijk, Giorgio Rettagliata, Demy Gerritsen, Mirjam Hegeman, Emanuele Tauro, Enrico Gianluca Caiani, Harald E. Vonkeman Frontiers in Digital Health, 2026
Classification grid and evidence matrix for evaluating digital medical devices under the European union landscape Magali Boers, Aude Rochereau, Louisa Stuwe, Lorena San Miguel, Jochen Klucken, Fruzsina Mezei, Jérôme Fabiano, Sandrine Boulet, Aymeric Perchant, Rosanna Tarricone, Francesco Petracca, Barbara Hoefgen, Corinne Collignon, Sarah Zohar, , A. G. Fraser, D. Panteli, E. Caiani, G. Dawson, J. Haverinen, L. Geris, M. Guardian, M. Posch, R. Maspons Bosch, R. Jeindl, V. Strammiello, P. Hoogendoorn, M. Kalliola, J. Ahlqvist, V. Vercamer, J. Spony, M. Marchetti Npj Digital Medicine, 2025
DEep LearnIng-based QuaNtification of epicardial adipose tissue predicts MACE in patients undergoing stress CMR Marco Guglielmo, Marco Penso, Maria Ludovica Carerj, Carlo Maria Giacari, Alessandra Volpe, Laura Fusini, Andrea Baggiano, Saima Mushtaq, Andrea Annoni, Francesco Cannata, Francesco Cilia, Alberico Del Torto, Fabio Fazzari, Alberto Formenti, Antonio Frappampina, Paola Gripari, Daniele Junod, Maria Elisabetta Mancini, Valentina Mantegazza, Riccardo Maragna, Francesca Marchetti, Giorgio Mastroiacovo, Sergio Pirola, Luigi Tassetti, Francesca Baessato, Valentina Corino, Andrea Igoren Guaricci, Mark G. Rabbat, Alexia Rossi, Chiara Rovera, Pietro Costantini, Ivo van der Bilt, Pim van der Harst, Marianna Fontana, Enrico G. Caiani, Mauro Pepi, Gianluca Pontone Atherosclerosis, 2024
Standardized assessment of evidence supporting the adoption of mobile health solutions: A Clinical Consensus Statement of the ESC Regulatory Affairs Committee Enrico G Caiani, Hareld Kemps, Petra Hoogendoorn, Riccardo Asteggiano, Allan Böhm, Britt Borregaard, Giuseppe Boriani, Hans-Peter Brunner La Rocca, Ruben Casado-Arroyo, Silvia Castelletti, Ruxandra Maria Christodorescu, Martin R Cowie, Paul Dendale, Fiona Dunn, Alan G Fraser, Deirdre A Lane, Emanuela T Locati, Katarzyna Małaczyńska-Rajpold, Caius O Merșa, Lis Neubeck, Gianfranco Parati, Chris Plummer, Giuseppe Rosano, Martijn Scherrenberg, Amie Smirthwaite, Piotr Szymanski European Heart Journal Digital Health, 2024
Predicting Orthostatic Tolerance Using Tilt TestAgnostic ECG Data Sarah Solbiati, Maria Chiara Fiorentino, Riccardo Bendandi, Sara Moccia, Enrico Gianluca Caiani 2024 13th Conference of the European Study Group on Cardiovascular Oscillations Physiologically Guided Signal Processing of Cardiovascular and Cerebrovascular Oscillations Esgco 2024, 2024
Blood pressure variability: methodological aspects, clinical relevance and practical indications for management - a European Society of Hypertension position paper ∗ Gianfranco Parati, Grzegorz Bilo, Anastasios Kollias, Martino Pengo, Juan Eugenio Ochoa, Paolo Castiglioni, George S. Stergiou, Giuseppe Mancia, Kei Asayama, Roland Asmar, Alberto Avolio, Enrico G. Caiani, Alejandro De La Sierra, Eamon Dolan, Andrea Grillo, Przemysław Guzik, Satoshi Hoshide, Geoffrey A. Head, Yutaka Imai, Eeva Juhanoja, Thomas Kahan, Kazuomi Kario, Vasilios Kotsis, Reinhold Kreutz, Konstantinos G. Kyriakoulis, Yan Li, Efstathios Manios, Anastasia S. Mihailidou, Pietro Amedeo Modesti, Stefano Omboni, Paolo Palatini, Alexandre Persu, Athanasios D. Protogerou, Francesca Saladini, Paolo Salvi, Pantelis Sarafidis, Camilla Torlasco, Franco Veglio, Charalambos Vlachopoulos, Yuqing Zhang Journal of Hypertension, 2023
Commercial Smart Virtual Assistants to support medication adherence in chronic patients: a preliminary usability study Convegno Nazionale Di Bioingegneria, 2023
Long-term analysis of cardiac electro-mechanical activity during the two analog lunar missions EMMPOL 10 and EMMPOL 11 Proceedings of the International Astronautical Congress Iac, 2023
Improved clinical investigation and evaluation of high-risk medical devices: the rationale and objectives of CORE-MD (Coordinating Research and Evidence for Medical Devices) A G Fraser, R G H H Nelissen, P Kjærsgaard-Andersen, P Szymański, T Melvin, P Piscoi, Alan Fraser, Piotr Szymański, Chris Gale, Aldo Maggioni, Elisabetta Zanon, Christina Dimopoulou, Cinzia Ceccarelli, Polyxeni Vairami, Anett Ruszanov, Per Kjærsgaard-Andersen, Rob Nelissen, Adrian Ott, Elizabeth Macintyre, Loredana Simulescu, Marieke Meijer, Berthold Koletzko, Sarah Wieczorek, Adamos Hadjipanayis, Stefano Del Torso, Perla Marang-van de Mheen, Lotje Hoogervorst, Ewout W Steyerberg, Bas Penning De Vries, Peter McCulloch, Martin Landray, Daniel Prieto Alhambra, James Smith, Anne Lubbeke-Wolf, Stefan James, Sergio Buccheri, Robert Byrne, Laurna McGovern, Stephan Windecker, Andre Frenk, Georgios Siontis, Christoph Stettler, Arjola Bano, Lia Bally, Frank E Rademakers, Jan D'hooge, Anton Vedder, Elisabetta Biasin, Erik Kamenjasevic, Petra Schnell-Inderst, Felicitas Kühne, Ola Rolfson, Joel Jakobsson, Amanda Tornsö, Enrico G Caiani, Lorenzo Gianquintieri, Cinzia Cappiello, Maristella Matera, Tom Melvin, Niall MacAleenan, Ria Mahon, Michèle Meagher, Gearóid McGauran, Thomas Wejs Møller, Ann-Sofie Sonne Holm-Schou, Jan Szulc, Robert E Geertsma, Jantine W P M van Baal, Joëlle M Hoebert, Susana L F Cabaço, Paola Laricchiuta, Marina Torre, Filippo Boniforti, Eugenio Carrani, Stefania Ceccarelli, Claudia Wild, Sabine Ettinger, Juan Antonio Blasco Amaro, Juan Carlos Rejón Parrilla, Agnieszka Dobrzynska, David Epstein, Valentina Strammiello, Hannes Jarke, Kaisa Immonen, Françoise Schlemmer, Sabina Hoekstra, Marianna Mastroroberto, Christoph Ziskoven, Michael Hahn, Erman Melikyan, Richard Holborow, Suzanne Halliday, Alexey Shiryaev, Gero Viola, Harry van Vugt, and European Heart Journal Quality of Care and Clinical Outcomes, 2022
Microgravity-induced alterations of cardiac mechanical activity assessed through the analysis of seismocardiographic signal morphology Proceedings of the International Astronautical Congress Iac, 2022
Alteration of the relationship between ventricular repolarization and heart rate induced by 60-day head-down bed rest Proceedings of the International Astronautical Congress Iac, 2021
Predicting long-term mortality in TAVI patients using machine learning techniques Marco Penso, Mauro Pepi, Laura Fusini, Manuela Muratori, Claudia Cefalù, Valentina Mantegazza, Paola Gripari, Sarah Ghulam Ali, Franco Fabbiocchi, Antonio L. Bartorelli, Enrico G. Caiani, Gloria Tamborini Journal of Cardiovascular Development and Disease, 2021
Comparison of the short-term acute cardiovascular response between head-down (-6 degrees) and horizontal bed rest Proceedings of the International Astronautical Congress Iac, 2020
ESC e-Cardiology Working Group Position Paper: Overcoming challenges in digital health implementation in cardiovascular medicine Ines Frederix, Enrico G Caiani, Paul Dendale, Stefan Anker, Jeroen Bax, Alan Böhm, Martin Cowie, John Crawford, Natasja de Groot, Polychronis Dilaveris, Tina Hansen, Friedrich Koehler, Goran Krstačić, Ekaterini Lambrinou, Patrizio Lancellotti, Pascal Meier, Lis Neubeck, Gianfranco Parati, Ewa Piotrowicz, Marco Tubaro, Enno van der Velde European Journal of Preventive Cardiology, 2019
2018 ESC/ESH Guidelines for themanagement of arterial hypertension Bryan Williams, Giuseppe Mancia, Wilko Spiering, Enrico Agabiti Rosei, Michel Azizi, Michel Burnier, Denis L Clement, Antonio Coca, Giovanni de Simone, Anna Dominiczak, Thomas Kahan, Felix Mahfoud, Josep Redon, Luis Ruilope, Alberto Zanchetti, Mary Kerins, Sverre E Kjeldsen, Reinhold Kreutz, Stephane Laurent, Gregory Y H Lip, Richard McManus, Krzysztof Narkiewicz, Frank Ruschitzka, Roland E Schmieder, Evgeny Shlyakhto, Costas Tsioufis, Victor Aboyans, Ileana Desormais, ESC Scientific Document Group, Guy De Backer, Anthony M Heagerty, Stefan Agewall, Murielle Bochud, Claudio Borghi, Pierre Boutouyrie, Jana Brguljan, Héctor Bueno, Enrico G Caiani, Bo Carlberg, Neil Chapman, Renata Cífková, John G F Cleland, Jean-Philippe Collet, Ioan Mircea Coman, Peter W de Leeuw, Victoria Delgado, Paul Dendale, Hans-Christoph Diener, Maria Dorobantu, Robert Fagard, Csaba Farsang, Marc Ferrini, Ian M Graham, Guido Grassi, Hermann Haller, F D Richard Hobbs, Bojan Jelakovic, Catriona Jennings, Hugo A Katus, Abraham A Kroon, Christophe Leclercq, Dragan Lovic, Empar Lurbe, Athanasios J Manolis, Theresa A McDonagh, Franz Messerli, Maria Lorenza Muiesan, Uwe Nixdorff, Michael Hecht Olsen, Gianfranco Parati, Joep Perk, Massimo Francesco Piepoli, Jorge Polonia, Piotr Ponikowski, Dimitrios J Richter, Stefano F Rimoldi, Marco Roffi, Naveed Sattar, Petar M Seferovic, Iain A Simpson, Miguel Sousa-Uva, Alice V Stanton, Philippe van de Borne, Panos Vardas, Massimo Volpe, Sven Wassmann, Stephan Windecker, Jose Luis Zamorano, Stephan Windecker, Victor Aboyans, Stefan Agewall, Emanuele Barbato, Héctor Bueno, Antonio Coca, Jean-Philippe Collet, Ioan Mircea Coman, Veronica Dean, Victoria Delgado, Donna Fitzsimons, Oliver Gaemperli, Gerhard Hindricks, Bernard Iung, Peter Jüni, Hugo A Katus, Juhani Knuuti, Patrizio Lancellotti, Christophe Leclercq, Theresa A McDonagh, Massimo Francesco Piepoli, Piotr Ponikowski, Dimitrios J Richter, Marco Roffi, Evgeny Shlyakhto, Iain A Simpson, Miguel Sousa-Uva, Jose Luis Zamorano, Costas Tsioufis, Empar Lurbe, Reinhold Kreutz, Murielle Bochud, Enrico Agabiti Rosei, Bojan Jelakovic, Michel Azizi, Andrzej Januszewics, Thomas Kahan, Jorge Polonia, Philippe van de Borne, Bryan Williams, Claudio Borghi, Giuseppe Mancia, Gianfranco Parati, Denis L Clement, Antonio Coca, Athanasios Manolis, Dragan Lovic, Salim Benkhedda, Parounak Zelveian, Peter Siostrzonek, Ruslan Najafov, Olga Pavlova, Michel De Pauw, Larisa Dizdarevic-Hudic, Dimitar Raev, Nikos Karpettas, Aleš Linhart, Michael Hecht Olsen, Amin Fouad Shaker, Margus Viigimaa, Kaj Metsärinne, Marija Vavlukis, Jean-Michel Halimi, Zurab Pagava, Heribert Schunkert, Costas Thomopoulos, Dénes Páll, Karl Andersen, Michael Shechter, Giuseppe Mercuro, Gani Bajraktari, Tatiana Romanova, Kārlis Trušinskis, Georges A Saade, Gintare Sakalyte, Stéphanie Noppe, Daniela Cassar DeMarco, Alexandru Caraus, Janneke Wittekoek, Tonje Amb Aksnes, Piotr Jankowski, Jorge Polonia, Dragos Vinereanu, Elena I Baranova, Marina Foscoli, Ana Djordjevic Dikic, Slavomira Filipova, Zlatko Fras, Vicente Bertomeu-Martínez, Bo Carlberg, Thilo Burkard, Wissem Sdiri, Sinan Aydogdu, Yuriy Sirenko, Adrian Brady, Thomas Weber, Irina Lazareva, Tine De Backer, Sekib Sokolovic, Bojan Jelakovic, Jiri Widimsky, Margus Viigimaa, Ilkka Pörsti, Thierry Denolle, Bernhard K Krämer, George S Stergiou, Gianfranco Parati, Kārlis Trušinskis, Marius Miglinas, Eva Gerdts, Andrzej Tykarski, Manuel de Carvalho Rodrigues, Maria Dorobantu, Irina Chazova, Dragan Lovic, Slavomira Filipova, Jana Brguljan, Julian Segura, Anders Gottsäter, Antoinette Pechère-Bertschi, Serap Erdine, Yuriy Sirenko, Adrian Brady European Heart Journal, 2018
Effectiveness of high-intensity jump training countermeasure on mitral and aortic flow after 58-days head-down bed-rest assessed by phase-contrast MRI Proceedings of the International Astronautical Congress Iac, 2018
Index of T-wave variation as a predictor of sudden cardiac death in chronic heart failure patients with atrial fibrillation Computing in Cardiology, 2016
Aortic flow and morphology adaptation to deconditioning after 21-days of head-down bed-rest assessed by phase contrast MRI Computing in Cardiology, 2016
Comparison of 2D and 3D echocardiographic measurement of mitral-aortic angle Computing in Cardiology, 2013
The linear dependence of ventricular repolarization variability on heart rate variability in head-down bed rest studies Computing in Cardiology, 2013
Computational analysis of Head-Down Bed Rest effects on cardiac action potential duration Computing in Cardiology, 2013
Quantitative characterization of mitral annulus and leaflets from transesophageal 3D echocardiography Computing in Cardiology, 2013
Ventricular repolarization adaptation to abrupt changes in heart rate after microgravity simulation by 5-day head-down bed rest European Space Agency Special Publication ESA SP, 2013
Semi-automated detection and quantification of aortic atheromas from three-dimensional transesophageal echocardiography Computing in Cardiology, 2013
Effects of 5-days head-down bed-rest, with and without artificial gravity countermeasure, on left ventricular dimensions European Space Agency Special Publication ESA SP, 2013
Evaluation of the relation between changes in R-wave amplitude and LV mass and dimensions in a model of 'Reversed Hypertrophy' Computing in Cardiology, 2013
Automated motion artifacts removal between cardiac long- and short-axis magnetic resonance images Computing in Cardiology, 2012
Nearly-automated quantification of mitral annulus and leafet morphology from transesophageal real-time 3D echocardiography Computing in Cardiology, 2012
Effect of simulated microgravity by head-down bed rest on T wave alternans Computing in Cardiology, 2012
A framework for CT and MR image fusion in cardiac resynchronization therapy Computing in Cardiology, 2012
Selective beat averaging to evaluate ventricular repolarization adaptation to deconditioning after 5 days of head-down bed rest Computing in Cardiology, 2012
Impaired T-wave amplitude adaptation to heart-rate induced by cardiac deconditioning after 5-days of head-down bed-rest Proceedings of the International Astronautical Congress Iac, 2012
Biomedical signal and image processing S Cerutti, G Baselli, A M Bianchi, E Caiani, D Contini, R Cubeddu, F Dercole, L D Rienzo, D Liberati, L Mainardi, P Ravazzani, S Rinaldi, M G Signorini, A Torricelli IEEE Pulse, 2011
Trends in biomedical engineering: Focus on patient specific modeling and life support systems Gabriele Dubini, Davide Ambrosi, Paola Bagnoli, Federica Boschetti, Enrico G. Caiani, Claudio Chiastra, Carlo A. Conti, Chiara Corsini, Maria Laura Costantino, Carlo D’Angelo, Luca Formaggia, Roberto Fumero, Dario Gastaldi, Francesco Migliavacca, Stefano Morlacchi, Fabio Nobile, Giancarlo Pennati, Lorenza Petrini, Alfio Quarteroni, Alberto Redaelli, Marco Stevanella, Alessandro Veneziani, Christian Vergara, Emiliano Votta, Wei Wu, Paolo Zunino Journal of Applied Biomaterials and Biomechanics, 2011
Three-dimensional analysis of regional left ventricular endocardial curvature from cardiac magnetic resonance images Computing in Cardiology, 2010
A software framework for global and regional quantitative assessment of myocardial necrosis by cardiac magnetic resonance Echallenges E 2010 Conference, 2010
Three-dimensional analysis of septal curvature from cardiac magnetic resonance images for the evaluation of severity of pulmonary hypertension Computing in Cardiology, 2010
Feasibility of a novel approach for 3D mitral valve quantification from magnetic resonance images Computing in Cardiology, 2010
Mitral valve modelling in ischemic patients: Finite element analysis from cardiac magnetic resonance imaging Computing in Cardiology, 2010
Development and validation of automated endocardial and epicardial contour detection for MRI volumetric and wall motion analysis Computing in Cardiology, 2010
Quantitative assessment of the effects of annuloplasty on mitral annulus dynamic geometry using real-time 3D echocardiography Computing in Cardiology, 2010
Evaluation of alterations on left ventricular isovolumic acceleration due to abrupt changes in preload elicited by parabolic flight European Space Agency Special Publication ESA SP, 2008
A new method for nearly automated detection of carotid contours on ultrasound images based on combined region growing and level-set Computers in Cardiology, 2006
Quantitative analysis of T-wave amplitude during parabolic flight Computers in Cardiology, 2006
Semi-automatic tracking for mitral annulus dynamic analysis using real-time 3D echocardiography Computers in Cardiology, 2006
Automated assessment of left ventricular wall motion based on surface detection and color-encoding of real time three-dimensional echocardiographic images Computers in Cardiology, 2006
Automated QT/RR analysis based on selective beat averaging applied to electrocardiographic holter 24 H Computers in Cardiology, 2004
Objective assessment of left ventricular wall motion from cardiac magnetic resonance images Computers in Cardiology, 2004
Quantification of coronary flow velocity reserve by means of semi-automated analysis of coronary flow Doppler images Annual International Conference of the IEEE Engineering in Medicine and Biology Proceedings, 2004
Development of a user-friendly database for combined assessment of doppler coronary flow reserve and wall motion abnormalities Computers in Cardiology, 2004
Real-time three-dimensional echocardiographic quantification of left ventricular mass: Comparison with magnetic resonance imaging Computers in Cardiology, 2004
Semi-automated analysis of doppler images for quantification of changes in mitral inflow pattern during parabolic flight Computers in Cardiology, 2004
Changes in Doppler mitral inflow patterns during parabolic flight. Journal of Gravitational Physiology A Journal of the International Society for Gravitational Physiology, 2004
Feasibility of real-time 3D echocardiography in weightlessness during parabolic flight. Journal of Gravitational Physiology A Journal of the International Society for Gravitational Physiology, 2004
Time-warping averaging for quantitative evaluation of changes in LV function Annual International Conference of the IEEE Engineering in Medicine and Biology Proceedings, 2002
Time-variant spectral analysis of heart rate variability during parabolic flight with and without LBNP European Space Agency Special Publication ESA SP, 2002
Time-variant spectral analysis of heart rate variability during parabolic flight with and without LBNP Annual International Conference of the IEEE Engineering in Medicine and Biology Proceedings, 2002
Changes in LV function during parabolic flight: Preliminary results Annual International Conference of the IEEE Engineering in Medicine and Biology Proceedings, 2002
Changes in left ventricular size during parabolic flights by two-dimensional echocardiography and level set method Computers in Cardiology, 2002
Quantitative analysis of myocardial perfusion and regional left ventricular function from contrast-enhanced power modulation images Computers in Cardiology, 2001
Poincarè plots and symbolic dynamics patterns of left ventricular function parameters extracted from echocardiographic acoustic quantification Annual Reports of the Research Reactor Institute Kyoto University, 2001
Echocardiographic evaluation of left ventricular wall motion using still-frame parametric imaging Computers in Cardiology, 2001
Analysis of left ventricular wall motion using dynamic alignment Computers in Cardiology, 2000
Automatic procedure for the extraction of parametric images of the myocardium from integrated ultrasonic backscatter signals Computers in Cardiology, 2000
Interaction between respiration and beat-by-beat ventricular parameters from acoustic quantification Computers in Cardiology, 2000
Minimal adaptive notch filter for respiratory frequency tracking Computers in Cardiology, 1999
Left ventricular shape analysis applied to color kinesis images Computers in Cardiology, 1999
Prognostic value of different left ventricular filling patterns assessed by automated border detection technique in patients with dilated cardiomyopathy Cardiovascular Imaging, 1999
Warped-average template technique to track on a cycle-by-cycle basis the cardiac filling phases on left ventricular volume Computers in Cardiology, 1998
