Duc Fehr
Impact in
-
- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
- Health Informatics top 5%
Papers in
- Geology 3
- 3D Surveying and Cultural Heritage 3
-
- Video Surveillance and Tracking Methods 5
- Image and Object Detection Techniques 3
- Robotic Path Planning Algorithms 3
- Co-authors
- Harini VeeraraghavanTatsuo GondoAndreas G. WibmerEvis SalaKazuhiro MatsumotoHedvig HricakJoseph O. DeasyNikolaos Papanikolopoulos
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Image and Vision Computing (1 paper)Journal of Intelligent & Robotic Systems (1 paper)Tire Science and Technology (1 paper)Breast Cancer Research (1 paper)
- Partner nations
- United StatesLuxembourgGermany
In The Last Decade
Duc Fehr
18 papers receiving 973 citations
Hit Papers
Peers
Comparison fields: 5 of 88
- Radiology, Nuclear Medicine and Imaging 581
- Health Informatics 23
- Computer Vision and Pattern Recognition 280
- Pulmonary and Respiratory Medicine 366
- Human-Computer Interaction 37
Countries citing papers authored by Duc Fehr
This map shows the geographic impact of Duc Fehr'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 Duc Fehr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Duc Fehr more than expected).
Fields of papers citing papers by Duc Fehr
This network shows the impact of papers produced by Duc Fehr. 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 Duc Fehr. The network helps show where Duc Fehr may publish in the future.
Co-authors
The 25 scholars most cited alongside Duc Fehr, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 0 | |
| 2 | 2020 | 72 | |
| 3 | 2019 | 1 | |
| 4 | 2019 | 9 | |
| 5 | 2018 | 1 | |
| 6 | 2016 | 3 | |
| 7 | 2015 | 23 | |
| 8 | Haralick texture analysis of prostate MRI: utility for differentiating non-cancerous prostate from prostate cancer and differentiating prostate cancers with different Gleason scores Hit paper breakdown → | 2015 | 321 |
| 9 | Automatic classification of prostate cancer Gleason scores from multiparametric magnetic resonance images Hit paper breakdown → | 2015 | 304 |
| 10 | 2014 | 12 | |
| 11 | 2014 | 5 | |
| 12 | 2012 | 24 | |
| 13 | 2012 | 4 | |
| 14 | 2009 | 13 | |
| 15 | 2009 | 3 | |
| 16 | 2009 | 20 | |
| 17 | 2009 | 4 | |
| 18 | 2008 | 65 | |
| 19 | 2008 | 6 | |
| 20 | 2008 | 101 |
About Duc Fehr
Duc Fehr is a scholar working on Geology, Computer Vision and Pattern Recognition, Aerospace Engineering, Radiology, Nuclear Medicine and Imaging and Industrial and Manufacturing Engineering, having authored 20 papers that have together received 991 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (8 papers), Video Surveillance and Tracking Methods (5 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Image and Object Detection Techniques (3 papers), Robotic Path Planning Algorithms (3 papers), 3D Surveying and Cultural Heritage (3 papers), Modular Robots and Swarm Intelligence (2 papers) and Medical Imaging Techniques and Applications (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (581 citations), Health Informatics (23 citations), Computer Vision and Pattern Recognition (280 citations), Pulmonary and Respiratory Medicine (366 citations) and Human-Computer Interaction (37 citations). Duc Fehr has collaborated with scholars based in United States, Luxembourg and Germany. Frequent co-authors include Harini Veeraraghavan, Tatsuo Gondo, Andreas G. Wibmer, Evis Sala, Kazuhiro Matsumoto, Hedvig Hricak, Joseph O. Deasy, Nikolaos Papanikolopoulos, H. Alberto Vargas and Andrew Drenner. Their work appears in journals such as Proceedings of the National Academy of Sciences, Image and Vision Computing, Journal of Intelligent & Robotic Systems, Tire Science and Technology and Breast Cancer Research.
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.