Patrick Ferdinand Christ
Impact in
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- Advanced Neural Network Applications
- Medical Image Segmentation Techniques
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- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
- Medical Imaging Techniques and Applications
Papers in
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- Radiomics and Machine Learning in Medical Imaging 6
- Medical Imaging Techniques and Applications 2
- MRI in cancer diagnosis 1
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- Advanced Neural Network Applications 3
- Advanced Image and Video Retrieval Techniques 1
- Image Enhancement Techniques 1
- Co-authors
- Bjoern H. Menze (6 shared papers)Seyed‐Ahmad Ahmadi (3 shared papers)Melvin D’Anastasi (1 shared paper)Wieland H. Sommer (1 shared paper)Felix Hofmann (1 shared paper)Marc Bickel (1 shared paper)Markus Rempfler (1 shared paper)Patrick Bilic (1 shared paper)
- Journals
- Contrast Media & Molecular Imaging (1 paper)Nature Communications (1 paper)Medical Image Analysis (1 paper)Lecture notes in computer science (3 papers)Biomedizinische Technik/Biomedical Engineering (1 paper)
- Partner nations
- GermanyHong KongSwitzerland
In The Last Decade
Patrick Ferdinand Christ
9 papers receiving 2.2k citations
Patrick Ferdinand Christ's Hit Papers
Peers
Comparison fields: 5 of 111
- Computer Vision and Pattern Recognition 1.0k
- Radiology, Nuclear Medicine and Imaging 962
- Health Informatics 64
- Neurology 344
- Artificial Intelligence 785
Countries citing papers authored by Patrick Ferdinand Christ
This map shows the geographic impact of Patrick Ferdinand Christ'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 Patrick Ferdinand Christ with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick Ferdinand Christ more than expected).
Fields of papers citing papers by Patrick Ferdinand Christ
This network shows the impact of papers produced by Patrick Ferdinand Christ. 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 Patrick Ferdinand Christ. The network helps show where Patrick Ferdinand Christ may publish in the future.
Co-authors
The 25 scholars most cited alongside Patrick Ferdinand Christ, 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 | The Medical Segmentation Decathlon Hit paper breakdown → | 2022 | 854 |
| 2 | The Liver Tumor Segmentation Benchmark (LiTS) Hit paper breakdown → | 2022 | 664 |
| 3 | Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional Neural Networks and 3D Conditional Random Fields Hit paper breakdown → | 2016 | 499 |
| 4 | 2018 | 111 | |
| 5 | 2017 | 22 | |
| 6 | 2024 | 19 | |
| 7 | 2017 | 18 | |
| 8 | 2016 | 11 | |
| 9 | 2017 | 4 |
About Patrick Ferdinand Christ
Patrick Ferdinand Christ is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Hematology, Health Informatics and Hepatology, having authored 9 papers that have together received 2.2k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (6 papers), Advanced Neural Network Applications (3 papers), Multiple Myeloma Research and Treatments (2 papers), AI in cancer detection (2 papers), Medical Imaging Techniques and Applications (2 papers), MRI in cancer diagnosis (1 paper), Advanced Image and Video Retrieval Techniques (1 paper) and Image Enhancement Techniques (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (1.0k citations), Radiology, Nuclear Medicine and Imaging (962 citations), Health Informatics (64 citations), Neurology (344 citations) and Artificial Intelligence (785 citations). Patrick Ferdinand Christ has collaborated with scholars based in Germany, Hong Kong and Switzerland. Frequent co-authors include Bjoern H. Menze, Seyed‐Ahmad Ahmadi, Melvin D’Anastasi, Wieland H. Sommer, Felix Hofmann, Marc Bickel, Markus Rempfler, Patrick Bilic, Marco Armbruster and Lina Xu. Their work appears in journals such as Contrast Media & Molecular Imaging, Nature Communications, Medical Image Analysis, Lecture notes in computer science and Biomedizinische Technik/Biomedical Engineering.
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.