Maria Deprez

1.3k total citations
44 papers, 448 citations indexed

About

Maria Deprez is a scholar working on Pediatrics, Perinatology and Child Health, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Maria Deprez has authored 44 papers receiving a total of 448 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Pediatrics, Perinatology and Child Health, 15 papers in Radiology, Nuclear Medicine and Imaging and 8 papers in Artificial Intelligence. Recurrent topics in Maria Deprez's work include Fetal and Pediatric Neurological Disorders (32 papers), Neonatal and fetal brain pathology (11 papers) and Prenatal Screening and Diagnostics (11 papers). Maria Deprez is often cited by papers focused on Fetal and Pediatric Neurological Disorders (32 papers), Neonatal and fetal brain pathology (11 papers) and Prenatal Screening and Diagnostics (11 papers). Maria Deprez collaborates with scholars based in United Kingdom, Spain and Germany. Maria Deprez's co-authors include Mary Rutherford, Joseph V. Hajnal, Alena Uus, Milou P.M. van Poppel, Jana Hutter, David Lloyd, Anthony N. Price, Kuberan Pushparajah, Thomas A. Roberts and Jacques‐Donald Tournier and has published in prestigious journals such as The Lancet, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Maria Deprez

40 papers receiving 446 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Maria Deprez United Kingdom 14 285 155 125 69 65 44 448
Alena Uus United Kingdom 10 183 0.6× 86 0.6× 68 0.5× 43 0.6× 53 0.8× 50 310
Alexia Egloff United Kingdom 10 165 0.6× 72 0.5× 79 0.6× 47 0.7× 77 1.2× 29 328
René Kok Netherlands 7 294 1.0× 172 1.1× 38 0.3× 50 0.7× 39 0.6× 13 444
Dimitri Kudelski France 4 220 0.8× 65 0.4× 193 1.5× 93 1.3× 31 0.5× 5 369
Deborah Jarvis United Kingdom 12 408 1.4× 99 0.6× 43 0.3× 11 0.2× 60 0.9× 29 485
Rosalind Aughwane United Kingdom 13 341 1.2× 167 1.1× 24 0.2× 51 0.7× 47 0.7× 19 521
S Shigemitsu Japan 14 167 0.6× 80 0.5× 71 0.6× 70 1.0× 35 0.5× 20 565
Eva Valverde Spain 12 273 1.0× 91 0.6× 138 1.1× 289 4.2× 81 1.2× 34 578
L. Ghisoni Italy 9 111 0.4× 31 0.2× 95 0.8× 29 0.4× 59 0.9× 16 390
Uday S. Kanamalla United States 10 104 0.4× 33 0.2× 100 0.8× 62 0.9× 70 1.1× 12 343

Countries citing papers authored by Maria Deprez

Since Specialization
Citations

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

Fields of papers citing papers by Maria Deprez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria Deprez

This figure shows the co-authorship network connecting the top 25 collaborators of Maria Deprez. A scholar is included among the top collaborators of Maria Deprez 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 Maria Deprez. Maria Deprez is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Uus, Alena, Kelly Payette, Megan Hall, et al.. (2025). Scanner-based real-time three-dimensional brain + body slice-to-volume reconstruction for T2-weighted 0.55-T low-field fetal magnetic resonance imaging. Pediatric Radiology. 55(3). 556–569. 2 indexed citations
3.
Price, Anthony N., Alena Uus, Andrew J. Lawrence, et al.. (2024). T1 and T2 measurements of the neonatal brain at 7 T. Magnetic Resonance in Medicine. 93(5). 2153–2162.
4.
Payette, Kelly, Alena Uus, Megan Hall, et al.. (2024). Fetal body organ T2* relaxometry at low field strength (FOREST). Medical Image Analysis. 99. 103352–103352. 4 indexed citations
5.
Robinson, Emma C., et al.. (2024). Applications of interpretable deep learning in neuroimaging: A comprehensive review. Imaging Neuroscience. 2. 6 indexed citations
6.
Price, Anthony N., Alena Uus, Massimo Marenzana, et al.. (2024). In vivo T2 measurements of the fetal brain using single‐shot fast spin echo sequences. Magnetic Resonance in Medicine. 92(2). 715–729. 1 indexed citations
7.
Matthew, Jacqueline, Alena Uus, Alexia Egloff, et al.. (2024). Automated craniofacial biometry with 3D T2w fetal MRI. SHILAP Revista de lepidopterología. 3(12). e0000663–e0000663.
8.
Matthew, Jacqueline, Alena Uus, Robert Wright, et al.. (2024). Craniofacial phenotyping with fetal MRI: a feasibility study of 3D visualisation, segmentation, surface-rendered and physical models. BMC Medical Imaging. 24(1). 52–52. 3 indexed citations
9.
Dimitrakopoulou, Konstantina, Hamel Patel, Charles Curtis, et al.. (2023). Effect of schizophrenia common variants on infant brain volumes: cross-sectional study in 207 term neonates in developing Human Connectome Project. Translational Psychiatry. 13(1). 121–121. 4 indexed citations
10.
Hall, Megan, Jana Hutter, Alena Uus, et al.. (2023). Adrenal volumes in fetuses delivering prior to 32 weeks' gestation: An MRI pilot study. Acta Obstetricia Et Gynecologica Scandinavica. 103(3). 512–521. 1 indexed citations
11.
Cordero‐Grande, Lucilio, Juan E. Ortuño, Alena Uus, et al.. (2022). Fetal MRI by Robust Deep Generative Prior Reconstruction and Diffeomorphic Registration. IEEE Transactions on Medical Imaging. 42(3). 810–822. 5 indexed citations
12.
Davidson, Joseph, Alena Uus, Alexia Egloff, et al.. (2022). Motion corrected fetal body magnetic resonance imaging provides reliable 3D lung volumes in normal and abnormal fetuses. Prenatal Diagnosis. 42(5). 628–635. 13 indexed citations
13.
Uus, Alena, Milou P.M. van Poppel, Johannes K. Steinweg, et al.. (2022). 3D black blood cardiovascular magnetic resonance atlases of congenital aortic arch anomalies and the normal fetal heart: application to automated multi-label segmentation. Journal of Cardiovascular Magnetic Resonance. 24(1). 71–71. 8 indexed citations
14.
Hutter, Jana, Jacqueline Matthew, Tong Zhang, et al.. (2021). Assessment of the fetal thymus gland: Comparing MRI-acquired thymus volumes with 2D ultrasound measurements. European Journal of Obstetrics & Gynecology and Reproductive Biology. 264. 1–7. 2 indexed citations
15.
Davidson, Joseph, Alena Uus, Jacqueline Matthew, et al.. (2021). Fetal body MRI and its application to fetal and neonatal treatment: an illustrative review. The Lancet Child & Adolescent Health. 5(6). 447–458. 30 indexed citations
16.
Story, Lisa, Tong Zhang, Alena Uus, et al.. (2020). Antenatal thymus volumes in fetuses that delivered <32 weeks' gestation: An MRI pilot study. Acta Obstetricia Et Gynecologica Scandinavica. 100(6). 1040–1050. 15 indexed citations
17.
Roberts, Thomas A., Joshua van Amerom, Alena Uus, et al.. (2020). Fetal whole heart blood flow imaging using 4D cine MRI. Nature Communications. 11(1). 4992–4992. 37 indexed citations
18.
Deprez, Maria, Anthony N. Price, Daan Christiaens, et al.. (2019). Higher Order Spherical Harmonics Reconstruction of Fetal Diffusion MRI With Intensity Correction. IEEE Transactions on Medical Imaging. 39(4). 1104–1113. 22 indexed citations
19.
Christiaens, Daan, Lucilio Cordero‐Grande, Maximilian Pietsch, et al.. (2019). Scattered slice SHARD reconstruction for motion correction in multi-shell diffusion MRI of the neonatal brain. arXiv (Cornell University). 4 indexed citations
20.
Lloyd, David, Kuberan Pushparajah, John Simpson, et al.. (2019). Three-dimensional visualisation of the fetal heart using prenatal MRI with motion-corrected slice-volume registration: a prospective, single-centre cohort study. The Lancet. 393(10181). 1619–1627. 83 indexed citations

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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