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The 11th biennial International Conference on Functional Imaging and Modeling of the Heart

The 11th biennial International Conference on Functional Imaging and Modeling of the Heart

Online

Conference Dates: Jun 21, 2021 - Jun 25, 2021

Research
Impact Score 1.00

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Ranking & Metrics Impact Score is a novel metric devised to rank conferences based on the number of contributing the best scientists in addition to the h-index estimated from the scientific papers published by the best scientists. See more details on our methodology page.

Research Impact Score: 1.00
Contributing Best Scientists: 6
H5-index:
Papers published by Best Scientists 9
Research Ranking (Computer Science) 552
Research Ranking (Medicine) 28

Conference Call for Papers

FIMH-2021 will celebrate 20 years of bringing together friends, colleagues, and collaborators to share and discuss the latest in cardiac and cardiovascular imaging, electrophysiology, computational modeling, and translational applications.

Scientists and clinicians with an interest in advanced methods to study and evaluate cardiac structure (cell to whole organ), function (regional to global), flow (measured and simulated), electrical activity, and remodeling are all welcome to attend.

An important goal of this meeting is to promote the careers of young scientists, openly discuss new ideas, build new collaborations, and foster an inclusive community to promote the personal and academic well-being of all participants.

Overview

Top Research Topics at International Conference on Functional Imaging and Modeling of Heart?

  • Artificial intelligence (33.73%)
  • Computer vision (22.29%)
  • Internal medicine (21.70%)

The objective of International Conference on Functional Imaging and Modeling of Heart is to combine knowledge in the areas of Artificial intelligence, Computer vision, Internal medicine, Cardiology and Segmentation. The work on Artificial intelligence tackled in it brings together disciplines like Machine learning and Pattern recognition. Research on Computer vision addressed in the event frequently intersections with the field of Cardiac cycle.

The presented studies in Mitral valve and Electrophysiology fall within the purview of Internal medicine but it also intertwines with topics in Chemistry. Ventricle, Atrial fibrillation, Heart failure, Myocardial infarction and Hemodynamics are all topics related to Cardiology research discussed. It explores topics in Ventricle which can be helpful for research in disciplines like Anatomy and Biomedical engineering.

Image segmentation is a key component of Segmentation research discussed in International Conference on Functional Imaging and Modeling of Heart.

What are the most cited papers published at the conference?

  • Random Forest Classification for Automatic Delineation of Myocardium in Real-Time 3D Echocardiography (104 citations)
  • An anisotropic multi-front fast marching method for real-time simulation of cardiac electrophysiology (73 citations)
  • Segmentation of Left Ventricle in Cardiac Cine MRI: An Automatic Image-Driven Method (72 citations)

Research areas of the most cited articles at International Conference on Functional Imaging and Modeling of Heart:

The conference articles focus largely on the fields of Artificial intelligence, Computer vision, Segmentation, Simulation and Internal medicine. The conference publications address concerns in Artificial intelligence which are intertwined with other disciplines, such as 3D ultrasound, Biological system and Pattern recognition. The conference papers link adjacent topics like Computer vision with Cardiac cycle.

What topics the last edition of the conference is best known for?

  • Artificial intelligence
  • Internal medicine
  • Cardiology

The previous edition focused in particular on these issues:

The conference tackles a plethora of topics, such as Artificial intelligence, Internal medicine, Cardiology, Segmentation and Deep learning. International Conference on Functional Imaging and Modeling of Heart explores issues in Artificial intelligence which can be linked to other research areas like Machine learning, Polygon mesh, Computer vision and Pattern recognition. It discusses concepts in Speckle pattern under Computer vision and how they intertwine with disciplines like Hfr cell.

The conference focuses on Internal medicine but sometimes tackles the closely related topic of Reproducibility which is concerned with Cohort, Observer variation, Geometric design and Myocardial stiffness. Segmentation research presented in it encompasses a variety of subjects, including Mean squared error, Information fusion, Image (mathematics) and Shape analysis (digital geometry). International Conference on Functional Imaging and Modeling of Heart facilitates discussions on Deep learning that incorporate concepts from other fields like Image processing, Manual segmentation and Spatial analysis.

The most cited articles from the last conference are:

  • Uncertainty Quantification of the Effects of Segmentation Variability in ECGI. (1 citations)
  • Efficient Model Monitoring for Quality Control in Cardiac Image Segmentation (1 citations)
  • EP-Net 2.0: Out-of-Domain Generalisation for Deep Learning Models of Cardiac Electrophysiology (1 citations)

Papers citation over time

A key indicator for each conference is its effectiveness in reaching other researchers with the papers published at that venue.

The chart below presents the interquartile range (first quartile 25%, median 50% and third quartile 75%) of the number of citations of articles over time.

Research.com

The top authors publishing at International Conference on Functional Imaging and Modeling of Heart (based on the number of publications) are:

  • Maxime Sermesant (26 papers) absent at the last edition,
  • Reza Razavi (23 papers) absent at the last edition,
  • Oscar Camara (22 papers) published 5 papers at the last edition, 3 more than at the previous edition,
  • Bart Bijnens (19 papers) absent at the last edition,
  • Kawal Rhode (18 papers) absent at the last edition.

The overall trend for top authors publishing at this conference is outlined below. The chart shows the number of publications at each edition of the conference for top authors.

Research.com

Only papers with recognized affiliations are considered

The top affiliations publishing at International Conference on Functional Imaging and Modeling of Heart (based on the number of publications) are:

  • King's College London (61 papers) published 9 papers at the last edition, 4 more than at the previous edition,
  • French Institute for Research in Computer Science and Automation (56 papers) published 7 papers at the last edition, 2 more than at the previous edition,
  • Pompeu Fabra University (37 papers) published 5 papers at the last edition, 3 more than at the previous edition,
  • University of Oxford (26 papers) published 4 papers at the last edition, 1 more than at the previous edition,
  • University of Auckland (25 papers) published 4 papers at the last edition, 1 more than at the previous edition.

The overall trend for top affiliations publishing at this conference is outlined below. The chart shows the number of publications at each edition of the conference for top affiliations.

Research.com

Publication chance based on affiliation

The publication chance index shows the ratio of articles published by the best research institutions at the conference edition to all articles published within that conference. The best research institutions were selected based on the largest number of articles published during all editions of the conference.

The chart below presents the percentage ratio of articles from top institutions (based on their ranking of total papers).Top affiliations were grouped by their rank into the following tiers: top 1-10, top 11-20, top 21-50, and top 51+. Only articles with a recognized affiliation are considered.

Research.com

During the most recent 2021 edition, 3.08% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 50.79% were posted by at least one author from the top 10 institutions publishing at the conference. Another 12.70% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 25.40% of all publications and 11.11% were from other institutions.

Returning Authors Index

A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of conferences they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same conference from year to year.

The Returning Authors Index presented below illustrates the ratio of authors who participated in both a given as well as the previous edition of the conference in relation to all participants in a given year.

Research.com

Returning Institution Index

The graph below shows the Returning Institution Index, illustrating the ratio of institutions that participated in both a given and the previous edition of the conference in relation to all affiliations present in a given year.

Research.com

The experience to innovation index

Our experience to innovation index was created to show a cross-section of the experience level of authors publishing at a conference. The index includes the authors publishing at the last edition of a conference, grouped by total number of publications throughout their academic career (P) and the total number of citations of these publications ever received (C).

The group intervals were selected empirically to best show the diversity of the authors' experiences, their labels were selected as a convenience, not as judgment. The authors were divided into the following groups:

  • Novice - P < 5 or C < 25 (the number of publications less than 5 or the number of citations less than 25),
  • Competent - P < 10 or C < 100 (the number of publications less than 10 or the number of citations less than 100),
  • Experienced - P < 25 or C < 625 (the number of publications less than 25 or the number of citations less than 625),
  • Master - P < 50 or C < 2500 (the number of publications less than 50 or the number of citations less than 2500),
  • Star - P ≥ 50 and C ≥ 2500 (both the number of publications greater than 50 and the number of citations greater than 2500).

Research.com

The chart below illustrates experience levels of first authors in cases of publications with multiple authors.

Research.com

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