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1. Detection of patients with COVID-19 by the emergency medical services in Lombardy through an operator-based interview and machine learning models

6. Automated left and right ventricular chamber segmentation in cardiac magnetic resonance images using dense fully convolutional neural network

21. Development and testing of a deep learning-based strategy for scar segmentation on CMR-LGE images

25. The linear dependence of ventricular repolarization variability on heart rate variability in head-down bed rest studies.

27. Poster session 4

28. Poster session 4: Friday 5 December 2014, 08:30-12:30 * Location: Poster area

29. Poster session 3: Thursday 4 December 2014, 14:00-18:00 * Location: Poster area

30. Oral Abstract session: Different imaging modalities for the approach of coronary artery disease: Friday 5 December 2014, 16:30-18:00 * Location: Agora

31. Poster session Thursday 12 December - PM: 12/12/2013, 14:00-18:00 * Location: Poster area

32. Poster session Thursday 12 December - AM: 12/12/2013, 08:30-12:30 * Location: Poster area

33. Club35 Poster Session Thursday 12 December: 12/12/2013, 08:30-18:00 * Location: Poster area

34. Poster session Friday 13 December - PM: 13/12/2013, 14:00-18:00 * Location: Poster area

35. Poster session Wednesday 11 December all day display: 11/12/2013, 09:30-16:00 * Location: Poster area

36. Abstracts

37. DEep LearnIng-based QuaNtification of epicardial adipose tissue predicts MACE in patients undergoing stress CMR.

38. Analysis of the Sustainable Development Goal 3 index for Italian municipalities.

39. Deep learning approaches for the detection of scar presence from cine cardiac magnetic resonance adding derived parametric images.

40. Standardized assessment of evidence supporting the adoption of mobile health solutions: A Clinical Consensus Statement of the ESC Regulatory Affairs Committee: Developed in collaboration with the European Heart Rhythm Association (EHRA), the Association of Cardiovascular Nursing & Allied Professions (ACNAP) of the ESC, the Heart Failure Association (HFA) of the ESC, the ESC Young Community, the ESC Working Group on e-Cardiology, the ESC Council for Cardiology Practice, the ESC Council of Cardio-Oncology, the ESC Council on Hypertension, the ESC Patient Forum, the ESC Digital Health Committee, and the European Association of Preventive Cardiology (EAPC).

41. Geospatial analysis of short-term exposure to air pollution and risk of cardiovascular diseases and mortality-A systematic review.

42. Implementation of a GEOAI model to assess the impact of agricultural land on the spatial distribution of PM2.5 concentration.

43. Detection of patients with COVID-19 by the emergency medical services in Lombardy through an operator-based interview and machine learning models.

44. Heatwave Definition and Impact on Cardiovascular Health: A Systematic Review.

45. The digital journey: 25 years of digital development in electrophysiology from an Europace perspective.

46. A deep-learning approach for myocardial fibrosis detection in early contrast-enhanced cardiac CT images.

47. Artificial intelligence in medical device software and high-risk medical devices - a review of definitions, expert recommendations and regulatory initiatives.

48. Validation of CORE-MD PMS Support Tool: A Novel Strategy for Aggregating Information from Notices of Failures to Support Medical Devices' Post-Market Surveillance.

49. Blood pressure variability: methodological aspects, clinical relevance and practical indications for management - a European Society of Hypertension position paper ∗.

50. A token-mixer architecture for CAD-RADS classification of coronary stenosis on multiplanar reconstruction CT images.

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