Michel Bister
- Computer Vision and Pattern Recognition top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Pulmonary and Respiratory Medicine
- Artificial Intelligence top 10%
- Media Technology top 10%
- Co-authors
- Jan CornelisRudi DeklerckMaxine TanBart JansenRajasvaran LogeswaranMiew Keen ChoongYves TaeymansMichael I. Hartley
- Topics
- Medical Image Segmentation Techniques (9 papers)Medical Imaging Techniques and Applications (8 papers)Image and Signal Denoising Methods (5 papers)
- Cited by
- Computer Vision and Pattern RecognitionRadiology, Nuclear Medicine and ImagingPulmonary and Respiratory Medicine
- Partner nations
- BelgiumMalaysiaUnited States
In The Last Decade
Michel Bister
23 papers receiving 435 citations
Peers
Comparison fields: 5 of 64
- Computer Vision and Pattern Recognition 209
- Radiology, Nuclear Medicine and Imaging 203
- Pulmonary and Respiratory Medicine 171
- Artificial Intelligence 104
- Media Technology 42
Countries citing papers authored by Michel Bister
This map shows the geographic impact of Michel Bister'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 Michel Bister with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michel Bister more than expected).
Fields of papers citing papers by Michel Bister
This network shows the impact of papers produced by Michel Bister. 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 Michel Bister. The network helps show where Michel Bister may publish in the future.
Co-authorship network of co-authors of Michel Bister
This figure shows the co-authorship network connecting the top 25 collaborators of Michel Bister. A scholar is included among the top collaborators of Michel Bister based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michel Bister. Michel Bister is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 170 | |
| 2 | 15 | |
| 3 | 0 | |
| 4 | 12 | |
| 5 | 16 | |
| 6 | 12 | |
| 7 | 18 | |
| 8 | Watershed Segmentation with Gradient Threshold and Root Merging for Ultrasound Images | 6 |
| 9 | 0 | |
| 10 | 3 | |
| 11 | 5 | |
| 12 | Gaussian Blurring-Deblurring for Improved Image Compression | 2 |
| 13 | 2 | |
| 14 | 19 | |
| 15 | 1 | |
| 16 | 51 | |
| 17 | The Cavity Detector as a generic image segmentation algorithm | 3 |
| 18 | A Critical View on Pyramid Segmentation Algorithms | 57 |
| 19 | The Morphology of the ECG Measured in Magnetic Fields | 1 |
| 20 | Cardiac NMR: The ECG Trigger | 1 |
About Michel Bister
Michel Bister is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Computer Graphics and Computer-Aided Design, having authored 25 papers that have together received 462 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (9 papers), Medical Imaging Techniques and Applications (8 papers) and Image and Signal Denoising Methods (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (209 citations), Radiology, Nuclear Medicine and Imaging (203 citations) and Pulmonary and Respiratory Medicine (171 citations). Michel Bister has collaborated with scholars based in Belgium, Malaysia and United States. Frequent co-authors include Jan Cornelis, Rudi Deklerck, Maxine Tan, Bart Jansen, Rajasvaran Logeswaran, Miew Keen Choong, Yves Taeymans, Michael I. Hartley, Alfons Cornelis and Hezerul Abdul Karim. Their work appears in journals such as Medical Physics, Pattern Recognition Letters and Image and Vision Computing.
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.