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Springer

IPMI 2021 : International Conference on Information Processing in Medical Imaging (IPMI)

Location: Bornholm , Denmark

Submission deadline: 12/1/2020

Conference dates: 6/27/2021 - 6/27/2021

Research H-index
5

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Computer Science 717 10 7 5

Call for Papers

IPMI’s mission is to facilitate and showcase the latest methodological developments within medical imaging. An “IPMI paper” presents novel methodological developments that solve medical imaging analysis problems. Today, IPMI is widely recognised as a preeminent international forum for presentation of cutting edge research in the medical imaging field including the topics below.

Topics
Image registration
Image segmentation
Image acquisition and reconstruction
Image fusion and synthesis
Novel deep learning methods for medical imaging
Statistics for medical imaging
Computer-aided detection and diagnosis
Computational anatomy and physiology
Visualization and physicalization
Multimodal image processing and analysis
Functional and molecular imaging
Imaging and genomics
Image guided surgery
Uncertainty estimation
Interpretability and explainable algorithms
Loss functions for medical imaging
Transfer learning, domain adaptation, data harmonization
Generative modelling
Learning with noisy or limited data
Statistical and mathematical models
Geometric learning, geometric deep learning, geometric statistics
Shape modeling and analysis

Overview

The scientific conference ranking featured on this page provides a comprehensive evaluation of conferences in the field of Engineering and Technology. This authoritative ranking has been developed by Research.com, one of the leading websites for science research in all major fields. Since 2014, Research.com has been a trusted source for data on scientific contributions, ensuring reliability and accuracy in its evaluations.

The methodology used to determine conference positions in this ranking is based on a proprietary bibliometric score uniquely developed by Research.com. This score is calculated using a combination of the estimated h-index and the number of leading scientists who have participated in each conference over the past three years. The ranking incorporates the most recent Impact Score values, collected as of 2024-11-27, to present up-to-date and relevant insights.

The selection and analysis process for this ranking was rigorous and multifaceted, involving the examination of more than 2,262 conferences. These conferences were chosen following a detailed inspection and critical analysis of over 26,934 scientific documents published within the last three years by 9,385 leading and highly respected scientists specializing in Engineering and Technology. The holistic approach and robust assessment undertaken by the experts at Research.com affirm the credibility and depth of this ranking.

For readers seeking a deeper understanding of the methodologies and criteria employed in formulating the ranking scores, comprehensive details are provided on our Methodology Page.

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.

The top authors publishing at Information Processing in Medical Imaging (based on the number of publications) are:

  • Polina Golland (7 papers) published 1 paper at the last edition the same number as at the previous edition,
  • Dinggang Shen (7 papers) published 3 papers at the last edition,
  • William M. Wells (6 papers) absent at the last edition,
  • Stanley Durrleman (5 papers) published 2 papers at the last edition,
  • Paul M. Thompson (5 papers) published 1 paper 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.

Only papers with recognized affiliations are considered

The top affiliations publishing at Information Processing in Medical Imaging (based on the number of publications) are:

  • University of North Carolina at Chapel Hill (11 papers) published 3 papers at the last edition, 2 more than at the previous edition,
  • French Institute for Research in Computer Science and Automation (9 papers) absent at the last edition,
  • Massachusetts Institute of Technology (9 papers) published 1 paper at the last edition the same number as at the previous edition,
  • Harvard University (8 papers) published 2 papers at the last edition, 1 more than at the previous edition,
  • University College London (8 papers) published 2 papers at the last 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.

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.

During the most recent 2019 edition, 6.25% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 53.33% were posted by at least one author from the top 10 institutions publishing at the conference. Another 20.00% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 20.00% of all publications and 6.67% 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.

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.

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).

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

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