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Topic · Biomedical Engineering

Medical Imaging and Analysis

Medical Imaging and Analysis is a research topic within Biomedical Engineering. Science Explorer counts 27k research works in it since 1950. 9.8% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the automated segmentation, detection, and identification of vertebrae in medical imaging data, particularly CT and MRI scans of the spine. The research involves the development and application of deep learning and computer-aided diagnosis techniques for precise and efficient analysis of spinal structures.

  • Spine Segmentation
  • Vertebrae Detection
  • Automatic Localization
  • Medical Image Analysis
  • Deep Learning
  • CT and MRI
  • Computer-Aided Diagnosis
  • Segmentation Methods
  • Vertebral Labeling
  • Artificial Intelligence
Research works
27k
fractional, since 1950
In the world top 10%
2.7k
per year above
Top-10% rate
9.8%
share of its works in the world top 10%
Growth, 2018-21 → 2022-25
+75%
the tick is no change
Largest producer
China
36% of the 10 largest, 2022-now
Medical Imaging and Analysis

Which countries lead Medical Imaging and Analysis research?

By volume, China and the United States publish the most (2.1k and 1.2k works in 2022-now).

By volume, 2022-now

  1. 1 China 2.1k works
  2. 2 United States 1.2k works
  3. 3 India 1k works
  4. 4 Indonesia 263 works
  5. 5 Germany 246 works
  6. 6 South Korea 244 works
  7. 7 Japan 241 works
  8. 8 United Kingdom 223 works
  9. 9 Türkiye 196 works
  10. 10 Italy 154 works

How concentrated that is

The same countries as shares of everything the list above accounts for. A node where two countries do two thirds of the work and one spread evenly across twelve read alike as a ranking and not at all alike here.

China: 35.9%United States: 20.5%India: 17.2%Indonesia: 4.4%6 others listed: 21.9%36%largest
China2,135 · 35.9%United States1,218 · 20.5%India1,023 · 17.2%Indonesia263 · 4.4%6 others listed1,303 · 21.9%

Shares of the rows listed above, not of the whole node.

Which institutions lead Medical Imaging and Analysis research?

By volume in 2022-now, Peking University publishes the most Medical Imaging and Analysis research, followed by Shanghai Jiao Tong University and Saveetha University.

By volume, 2022-now

  1. 1 Peking UniversityChina 53 works
  2. 2 Shanghai Jiao Tong UniversityChina 51 works
  3. 3 Saveetha UniversityIndia 43 works
  4. 4 Chinese Academy of SciencesChina 43 works
  5. 5 Harvard UniversityUnited States 43 works
  6. 6 Sichuan UniversityChina 39 works
  7. 7 Capital Medical UniversityChina 36 works
  8. 8 Johns Hopkins UniversityUnited States 35 works
  9. 9 SRM Institute of Science and TechnologyIndia 35 works
  10. 10 Sun Yat-sen UniversityChina 33 works

Who are the leading researchers in Medical Imaging and Analysis?

The most-cited researchers publishing on Medical Imaging and Analysis include David Moher, Cyrus Cooper and Jun Wang.

  1. 1 David Moher Canada 898k citations
  2. 2 Cyrus Cooper United Kingdom 342k citations
  3. 3 Jun Wang China 340k citations
  4. 4 Xiangyu Zhang 327k citations
  5. 5 Dan J. Stein South Africa 306k citations
  6. 6 John Q. Trojanowski United States 286k citations
  7. 7 Luigi Ferrucci United States 281k citations
  8. 8 Patrick M. Bossuyt Netherlands 270k citations
  9. 9 Xiaogang Wang China 260k citations
  10. 10 Andrew Zisserman United Kingdom 255k citations

Ranked by citations received across their whole record, among researchers with at least three works on this topic.

What are the most cited papers in Medical Imaging and Analysis?

The most cited paper in Medical Imaging and Analysis is "A survey on deep learning in medical image analysis" (Geert J. S. Litjens, Thijs Kooi, Babak Ehteshami Bejnordi et al., 2017), with 15,309 citations. Next come "nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation" (9,588) and "Magnetic Resonance Classification of Lumbar Intervertebral Disc Degeneration" (4,061).

Most cited papers
#PaperReleasedCitations
1 A survey on deep learning in medical image analysis Geert J. S. Litjens, Thijs Kooi, Babak Ehteshami Bejnordi et al. · Medical Image Analysis Open access 26 Jul 2017 15,309
2 nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation Fabian Isensee, Paul F. Jaeger, Simon A. A. Kohl et al. · Nature Methods Open access 7 Dec 2020 9,588
3 Magnetic Resonance Classification of Lumbar Intervertebral Disc Degeneration Christian W. A. Pfirrmann, Alexander Metzdorf, Marco Zanetti et al. · Spine Sep 2001 4,061
4 Vertebral fracture assessment using a semiquantitative technique Harry K. Genant, Chun‐Ying Wu, Cornelis van Kuijk et al. · Journal of Bone and Mineral Research Sep 1993 3,704
5 Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation Konstantinos Kamnitsas, Christian Ledig, Virginia Newcombe et al. · Medical Image Analysis Open access 29 Oct 2016 3,608
All 98 most cited papers, with filters and sorting

Where is Medical Imaging and Analysis research done?

The largest centres of Medical Imaging and Analysis research in 2022-now are Beijing (China), Shanghai (China), Chennai (India) and Seoul (South Korea). Among places with at least 20 works in it, it is an unusually large share of all research in Vijayawada and Manipal.

Largest cities, 2022-now

  1. 1 BeijingChina 312 works
  2. 2 ShanghaiChina 180 works
  3. 3 ChennaiIndia 156 works
  4. 4 SeoulSouth Korea 114 works
  5. 5 GuangzhouChina 105 works
  6. 6 New YorkUnited States 88 works
  7. 7 NanjingChina 78 works
  8. 8 ChengduChina 78 works
  9. 9 Xi'anChina 72 works
  10. 10 LondonUnited Kingdom 72 works

Where it is the local speciality

  1. VijayawadaIN · 20.5 works5.7×
  2. ManipalIN · 20.9 works4.4×
← less than its size predicts1×more →

Location quotient: how much more of its research is in Medical Imaging and Analysis than the world average.

See Medical Imaging and Analysis on the map

Where is the best place to study Medical Imaging and Analysis?

Among universities, judged by research, Harvard University, University of Zurich and National University of Singapore score highest, combining excellence, specialisation, size, growth and international reach. Research strength is one signal when choosing where to study; it does not measure teaching.

0%10%20%30%mean 17.55%fractional works in this field (log) →share of work in the world top 10% →National University …University of ZurichShanghai Jiao Tong U…Harvard University
above the meannear itbelow it

One dot per university in the first ten of the table below, at the default weights. The upper left is the interesting corner: small places doing unusually strong work.

Excellenceshare of its work in the world top 10%, 2022-now and all time averaged
40%
Specialisationhow much of its work is in this field, counted up to 10× the world share
10%
Sizeits output in this field, on a log scale
30%
Growthoutput growth, counted from -20% to +20%
10%
Internationalshare of its work with a co-author abroad
10%
Each slider sets a weight; the share it gets of the score is beside it.
#UniversityScoreTop 10%SpecialisationWorksGrowth
1Harvard UniversityUnited States 69.614.6%1.9×43 +8.9%
2University of ZurichSwitzerland 68.722.6%2.9×14 +138.2%
3National University of SingaporeSingapore 67.527.4%1.4×12 +182.4%
4Shanghai Jiao Tong UniversityChina 67.316.0%2.6×51 +114.2%
5Peking UniversityChina 65.511.2%3.7×53 +65.7%
6Johns Hopkins UniversityUnited States 65.511.0%3.3×35 +18.3%
7University of Hong KongChina 65.418.8%2.4×16 +133.9%
8Vellore Institute of Technology UniversityIndia 63.615.4%4.6×32 +512.1%
9Seoul National UniversitySouth Korea 62.719.5%2.7×21 +58.2%
10Imperial College LondonUnited Kingdom 62.219.0%1.9×13 +67.3%

Universities only. The score blends excellence (40%), size (30%), specialisation (10%), growth (10%), international reach (10%), 2022-now; growth compares 2018-21 with 2022-25 and counts up to +20%, since a jump from a small base is mostly noise.

Every institution in Medical Imaging and Analysis, country by country

Is Medical Imaging and Analysis research growing?

Output in 2022-2025 was 75% higher than in 2018-2021, peaking in 2025. The fastest-growing topics are Medical Imaging and Analysis.

still counting19801990200020102020
grewheldshrank

The same series as a ribbon: one cell per year, darker for more. The line above answers how much; this answers when.

Its share of all research

Growing output can still be a shrinking share: all of science grows. This is Medical Imaging and Analysis as a percentage of every work published that year, 0.042% in 2024.

still counting0.020%0.040%0.060%Medical Imaging and Analysis0.041% in 202519801990200020102020

Fractional works of Medical Imaging and Analysis over all fractional works that year. How the balance of science has shifted.

How much of it reaches the world top 10%

Year by year.

still counting5%10%15%Medical Imaging and Analysis10.0% in 2025200020102020

Of each year's works in it, the share that reached the world's 10% most cited for their field and year. A field is the world for its own topics, so there is no other line to hold it against.

Which topics inside it are moving

Growth and decline on one axis around a shared zero. Two lists side by side hide the thing that matters: whether the growth dwarfs the decline, or the other way round.

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