Bernhard Kainz

14.7k citations
91 papers · 4.0k indexed · 3 hit papers · h-index 24

Impact in

Papers in

Bernhard Kainz

82 papers receiving 3.9k citations

Hit Papers

A survey on active learning and human-in-the-loop deep learning for medical image analysis 2021 · 336 citations
33620172026202020234008001.2k

Peers

Bernhard Kainz
Comparison fields: 5 of 167
  • Health Informatics 173
  • Computer Vision and Pattern Recognition 1.5k
  • Radiology, Nuclear Medicine and Imaging 1.5k
  • Artificial Intelligence 1.1k
  • Computer Graphics and Computer-Aided Design 114
Replace Ghassan Hamarneh with:
Ghassan Hamarneh Canada
Danail Stoyanov United Kingdom
Julia A. Schnabel United Kingdom
Dong Ni China
Yefeng Zheng China
Gustavo Carneiro Australia
Bogdan Georgescu United States
Andriy Myronenko United States
Lena Maier‐Hein Germany
S. Kevin Zhou United States
Bernhard Kainz relative to Ghassan Hamarneh Canada Ghassan Hamarneh's profile →
Citations per field
00.5×1.5×
Ghassan Hamarneh · 1×
Citations per year

Countries citing papers authored by Bernhard Kainz

Since Specialization
Citations

This map shows the geographic impact of Bernhard Kainz's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Bernhard Kainz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bernhard Kainz more than expected).

Fields of papers citing papers by Bernhard Kainz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bernhard Kainz. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Bernhard Kainz. The network helps show where Bernhard Kainz may publish in the future.

Co-authors

The 25 scholars most cited alongside Bernhard Kainz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Bernhard Kainz Line = papers co-authored together Bernhard Kainz links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20240
4 20245
5 20245
6 20242
7 202324
8 20237
9 20235
10 20238
11 20228
12 202146
13 20207
14 201983
15
Anatomically Constrained Neural Networks (ACNNs): Application to Cardiac Image Enhancement and Segmentation
Hit paper breakdown →
2017438
16
Real-Time Detection and Localisation of Fetal Standard Scan Planes in 2D Freehand Ultrasound.
20163
17 201460
18 20091
19 200811
20
Mr. vector field measurement and visualization of normal and pathological time-resolved three-dimensional cardiovascular blood flow patterns
20073

About Bernhard Kainz

Bernhard Kainz is a scholar working on Health Informatics, Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition, Pediatrics, Perinatology and Child Health and Radiology, Nuclear Medicine and Imaging, having authored 91 papers that have together received 4.0k indexed citations. Recurring topics across this work include Fetal and Pediatric Neurological Disorders (26 papers), Computer Graphics and Visualization Techniques (14 papers), Domain Adaptation and Few-Shot Learning (13 papers), Advanced Vision and Imaging (11 papers), Artificial Intelligence in Healthcare and Education (10 papers), Congenital Heart Disease Studies (9 papers), 3D Shape Modeling and Analysis (9 papers) and Medical Image Segmentation Techniques (8 papers). The work is most often cited by research in Health Informatics (173 citations), Computer Vision and Pattern Recognition (1.5k citations), Radiology, Nuclear Medicine and Imaging (1.5k citations), Artificial Intelligence (1.1k citations) and Computer Graphics and Computer-Aided Design (114 citations). Bernhard Kainz has collaborated with scholars based in United Kingdom, Germany and Austria. Frequent co-authors include Daniel Rueckert, Ozan Oktay, Ben Glocker, Mattias P. Heinrich‬, Jo Schlemper, Michiel Schaap, Emma C. Robinson, Samuel Budd, Konstantinos Kamnitsas and Joseph V. Hajnal. Their work appears in journals such as IEEE Transactions on Medical Imaging, Medical Image Analysis, Computer Graphics Forum, IEEE Transactions on Visualization and Computer Graphics and Prenatal Diagnosis.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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