Lasse Hansen

473 citations
17 papers · 160 · h-index 8

Impact in

Papers in

Lasse Hansen

16 papers receiving 156 citations

Peers

Lasse Hansen
Comparison fields: 5 of 49
  • Health Informatics 4
  • Computer Vision and Pattern Recognition 61
  • Radiology, Nuclear Medicine and Imaging 40
  • Biomedical Engineering 53
  • Neurology 6
Replace Kaushik Shivakumar with:
Kaushik Shivakumar India
Blaine Rister United States
Yiyuan Zhao United States
Raabid Hussain France
Wanni Xu China
Yan-Jie Zhou China
Baoru Huang United Kingdom
Jacinto Colan Japan
Γεώργιος Πετμεζάς Greece
Lasse Hansen relative to Kaushik Shivakumar India Kaushik Shivakumar's profile →
Citations per field
00.5×
Kaushik Shivakumar · 1×
Citations per year

Countries citing papers authored by Lasse Hansen

Since Specialization
Citations

This map shows the geographic impact of Lasse Hansen'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 Lasse Hansen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lasse Hansen more than expected).

Fields of papers citing papers by Lasse Hansen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lasse Hansen. 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 Lasse Hansen. The network helps show where Lasse Hansen may publish in the future.

Co-authors

The 11 scholars most cited alongside Lasse Hansen, 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 Lasse Hansen Line = papers co-authored together Lasse Hansen links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 202139
2 202032
3 201915
4 201315
5 20219
6 20239
7
7DoF Hand and Arm Tracking for Teleoperation of Anthropomorphic Robots
20168
8 20208
9 20146
10 20195
11 20224
12
Geometric Deep Learning and Heatmap Prediction for Large Deformation Registration of Abdominal and Thoracic CT
20194
13 20233
14 20231
15 20241
16 20251
17 20250

About Lasse Hansen

Lasse Hansen is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering, Radiology, Nuclear Medicine and Imaging, Control and Systems Engineering and Mechanical Engineering, having authored 17 papers that have together received 160 indexed citations. Recurring topics across this work include Medical Imaging and Analysis (6 papers), Medical Image Segmentation Techniques (5 papers), Advanced Neural Network Applications (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Robot Manipulation and Learning (3 papers), Human Pose and Action Recognition (2 papers), Industrial Vision Systems and Defect Detection (2 papers) and Manufacturing Process and Optimization (2 papers). The work is most often cited by research in Health Informatics (4 citations), Computer Vision and Pattern Recognition (61 citations), Radiology, Nuclear Medicine and Imaging (40 citations), Biomedical Engineering (53 citations) and Neurology (6 citations). Lasse Hansen has collaborated with scholars based in Germany, United States and Denmark. Frequent co-authors include Mattias P. Heinrich‬, Zhenyu Yang, David Bourne, Simon Pedersen, Philipp Rostalski, Giacomo Bellani, Matthias Wilms, Axel Saalbach, Jörg Barkhausen and Franz Wegner. Their work appears in journals such as International Journal of Computer Assisted Radiology and Surgery, IEEE Transactions on Medical Imaging, Medical Image Analysis, Sensors and Journal of Intelligent & Robotic Systems.

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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