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25th International Conference on Medical Image Computing and Computer Assisted Intervention

25th International Conference on Medical Image Computing and Computer Assisted Intervention

Singapore , Singapore

Submission Deadline: Tuesday 15 Feb 2022

Conference Dates: Sep 18, 2022 - Sep 22, 2022

Research
Impact Score 1.40

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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: 1.40
Contributing Best Scientists: 24
H5-index:
Papers published by Best Scientists 25
Research Ranking (Computer Science) 27
Research Ranking (Neuroscience) 5
Research Ranking (Medicine) 5

Conference Call for Papers

Topics of interest for MICCAI include, but are not limited to:

Computational (Integrative) Pathology
Computational Anatomy and Physiology
Computer Aided Diagnosis
Imaging Biomarkers
Image Reconstruction
Image Registration
Image Segmentation
Image-Guided Interventions and Robot-Assisted Surgery
Integration of Imaging with Non-Imaging Biomarkers
Interventional Simulation Systems
Advances in Machine Learning Theory and Methods
Outcome/disease prediction
Population Imaging and Imaging Genetics
Surgical Data Science
Surgical Skill and Work Flow Analysis
Mixed, Augmented and Virtual Reality
Visualization in Biomedical Imaging

Overview

Top Research Topics at Medical Image Computing and Computer-Assisted Intervention?

  • Artificial intelligence (71.42%)
  • Computer vision (35.91%)
  • Pattern recognition (31.72%)

The conference focuses on Artificial intelligence, Computer vision, Pattern recognition, Segmentation and Deep learning. The event holds forums on Artificial intelligence that merges themes from other disciplines such as Machine learning and Magnetic resonance imaging. While Computer vision is the focus of Medical Image Computing and Computer-Assisted Intervention, it also provided insights into the studies of Imaging phantom, Ultrasound and Visualization.

Pattern recognition research presented in the conference encompasses a variety of subjects, including Artificial neural network, Voxel, Diffusion MRI and Feature (computer vision). More specifically, the research on Segmentation in the event is related to Scale-space segmentation.

What are the most cited papers published at the conference?

  • U-Net: Convolutional Networks for Biomedical Image Segmentation (25622 citations)
  • Muliscale Vessel Enhancement Filtering (2833 citations)
  • 3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation (2054 citations)

Research areas of the most cited articles at Medical Image Computing and Computer-Assisted Intervention:

The conference articles focus largely on the fields of Artificial intelligence, Computer vision, Segmentation, Pattern recognition and Convolutional neural network. The most cited articles connects the study in Artificial intelligence with the closely related areas of Machine learning. While work presented in the conference articles provide substantial information on Computer vision, it also covers topics in Imaging phantom, Magnetic resonance imaging and Pattern recognition (psychology).

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 Medical Image Computing and Computer-Assisted Intervention (based on the number of publications) are:

  • Dinggang Shen (204 papers) published 27 papers at the last edition, 7 less than at the previous edition,
  • Nassir Navab (91 papers) published 14 papers at the last edition, 3 more than at the previous edition,
  • Daniel Rueckert (70 papers) published 19 papers at the last edition, 12 more than at the previous edition,
  • Sebastien Ourselin (67 papers) published 15 papers at the last edition, 9 more than at the previous edition,
  • Pew Thian Yap (55 papers) published 5 papers at the last edition, 5 less than at the previous 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 Medical Image Computing and Computer-Assisted Intervention (based on the number of publications) are:

  • University of North Carolina at Chapel Hill (252 papers) published 33 papers at the last edition, 6 less than at the previous edition,
  • Imperial College London (135 papers) published 30 papers at the last edition, 11 more than at the previous edition,
  • Siemens (123 papers) published 15 papers at the last edition, 4 more than at the previous edition,
  • Johns Hopkins University (121 papers) published 22 papers at the last edition the same number as at the previous edition,
  • University College London (117 papers) published 21 papers at the last edition, 3 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 2018 edition, 2.29% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 35.13% were posted by at least one author from the top 10 institutions publishing at the conference. Another 9.37% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 18.03% of all publications and 37.47% 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

Previous Editions

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