Jo Schlemper
Impact in
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- Advanced MRI Techniques and Applications
- Medical Imaging Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
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- Medical Image Segmentation Techniques
- Advanced Neural Network Applications
Papers in
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- Advanced MRI Techniques and Applications 21
- Medical Imaging Techniques and Applications 15
- Radiomics and Machine Learning in Medical Imaging 3
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- Medical Image Segmentation Techniques 9
- Co-authors
- Daniel Rueckert (22 shared papers)Joseph V. Hajnal (8 shared papers)Anthony N. Price (7 shared papers)José Caballero (3 shared papers)Ozan Oktay (6 shared papers)Bernhard Kainz (3 shared papers)Mattias P. Heinrich (1 shared paper)Michiel Schaap (1 shared paper)
- Journals
- IEEE Transactions on Medical Imaging (4 papers)Magnetic Resonance in Medicine (2 papers)Medical Image Analysis (2 papers)Lecture notes in computer science (15 papers)Journal of Medical Imaging (1 paper)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Jo Schlemper
27 papers receiving 3.8k citations
Jo Schlemper's Hit Papers
Peers
Comparison fields: 5 of 130
- Radiology, Nuclear Medicine and Imaging 2.4k
- Computer Vision and Pattern Recognition 1.2k
- Health Informatics 67
- Neurology 236
- Computational Mechanics 399
Countries citing papers authored by Jo Schlemper
This map shows the geographic impact of Jo Schlemper'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 Jo Schlemper with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jo Schlemper more than expected).
Fields of papers citing papers by Jo Schlemper
This network shows the impact of papers produced by Jo Schlemper. 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 Jo Schlemper. The network helps show where Jo Schlemper may publish in the future.
Co-authors
The 25 scholars most cited alongside Jo Schlemper, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Attention gated networks: Learning to leverage salient regions in medical images Hit paper breakdown → | 2019 | 1380 |
| 2 | A Deep Cascade of Convolutional Neural Networks for Dynamic MR Image Reconstruction Hit paper breakdown → | 2017 | 938 |
| 3 | Convolutional Recurrent Neural Networks for Dynamic MR Image Reconstruction Hit paper breakdown → | 2018 | 447 |
| 4 | 2017 | 221 | |
| 5 | 2019 | 163 | |
| 6 | 2018 | 107 | |
| 7 | 2018 | 79 | |
| 8 | 2021 | 58 | |
| 9 | 2019 | 57 | |
| 10 | 2023 | 47 | |
| 11 | 2020 | 45 | |
| 12 | 2019 | 40 | |
| 13 | 2018 | 38 | |
| 14 | 2022 | 37 | |
| 15 | 2021 | 34 | |
| 16 | 2018 | 30 | |
| 17 | 2018 | 24 | |
| 18 | 2018 | 23 | |
| 19 | 2019 | 21 | |
| 20 | 2019 | 21 |
About Jo Schlemper
Jo Schlemper is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Pediatrics, Perinatology and Child Health, Atomic and Molecular Physics, and Optics and Computational Mechanics, having authored 27 papers that have together received 3.9k indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (21 papers), Medical Imaging Techniques and Applications (15 papers), Medical Image Segmentation Techniques (9 papers), Fetal and Pediatric Neurological Disorders (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Domain Adaptation and Few-Shot Learning (3 papers), Atomic and Subatomic Physics Research (3 papers) and Sparse and Compressive Sensing Techniques (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (2.4k citations), Computer Vision and Pattern Recognition (1.2k citations), Health Informatics (67 citations), Neurology (236 citations) and Computational Mechanics (399 citations). Jo Schlemper has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Daniel Rueckert, Joseph V. Hajnal, Anthony N. Price, José Caballero, Ozan Oktay, Bernhard Kainz, Mattias P. Heinrich, Michiel Schaap, Ben Glocker and Chen Qin. Their work appears in journals such as IEEE Transactions on Medical Imaging, Magnetic Resonance in Medicine, Medical Image Analysis, Lecture notes in computer science and Journal of Medical Imaging.
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.