Rahil Shahzad

1.3k total citations
29 papers, 649 citations indexed

About

Rahil Shahzad is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Rahil Shahzad has authored 29 papers receiving a total of 649 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Radiology, Nuclear Medicine and Imaging, 11 papers in Cardiology and Cardiovascular Medicine and 11 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Rahil Shahzad's work include Cardiac Imaging and Diagnostics (10 papers), Advanced MRI Techniques and Applications (7 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). Rahil Shahzad is often cited by papers focused on Cardiac Imaging and Diagnostics (10 papers), Advanced MRI Techniques and Applications (7 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). Rahil Shahzad collaborates with scholars based in Netherlands, Germany and United States. Rahil Shahzad's co-authors include Theo van Walsum, Lucas J. van Vliet, Wiro J. Niessen, Michiel Schaap, Rob J. van der Geest, Daniël Bos, Frank Thiele, Michael Perkuhn, Hortense A. Kirişli and Aad van der Lugt and has published in prestigious journals such as Scientific Reports, Physics in Medicine and Biology and Medical Physics.

In The Last Decade

Rahil Shahzad

29 papers receiving 633 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rahil Shahzad Netherlands 15 400 214 180 165 120 29 649
Maurice Pradella Switzerland 8 357 0.9× 137 0.6× 125 0.7× 178 1.1× 64 0.5× 32 622
Hanns‐Christian Breit Switzerland 11 541 1.4× 62 0.3× 133 0.7× 278 1.7× 91 0.8× 41 797
Michael Suehling Germany 14 365 0.9× 100 0.5× 103 0.6× 276 1.7× 124 1.0× 28 727
M. Fawad Khan Germany 16 250 0.6× 74 0.3× 250 1.4× 265 1.6× 265 2.2× 28 714
Xiangfei Chai China 13 269 0.7× 35 0.2× 164 0.9× 120 0.7× 91 0.8× 19 542
Erwin Bellon Belgium 9 423 1.1× 52 0.2× 220 1.2× 93 0.6× 101 0.8× 30 699
Martin Segeroth Switzerland 5 337 0.8× 52 0.2× 84 0.5× 180 1.1× 54 0.5× 11 516
Sascha Zelzer Germany 9 265 0.7× 27 0.1× 99 0.6× 133 0.8× 74 0.6× 12 480
Thomas Böttger Germany 4 213 0.5× 50 0.2× 61 0.3× 125 0.8× 69 0.6× 5 428
Stefan Saur Switzerland 11 199 0.5× 202 0.9× 130 0.7× 107 0.6× 260 2.2× 19 465

Countries citing papers authored by Rahil Shahzad

Since Specialization
Citations

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

Fields of papers citing papers by Rahil Shahzad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rahil Shahzad

This figure shows the co-authorship network connecting the top 25 collaborators of Rahil Shahzad. A scholar is included among the top collaborators of Rahil Shahzad 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 Rahil Shahzad. Rahil Shahzad 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.
Iuga, Andra-Iza, Simon Lennartz, Nils Große Hokamp, et al.. (2023). Automated localization and segmentation of cervical lymph nodes on contrast-enhanced CT using a 3D foveal fully convolutional neural network. European Radiology Experimental. 7(1). 45–45. 5 indexed citations
2.
Fervers, Philipp, Jonathan Kottlors, Simon Lennartz, et al.. (2022). Assessment of COVID-19 lung involvement on computed tomography by deep-learning-, threshold-, and human reader-based approaches—an international, multi-center comparative study. Quantitative Imaging in Medicine and Surgery. 12(11). 5156–5170. 3 indexed citations
3.
Pennig, Lenhard, Rahil Shahzad, Liliana Caldeira, et al.. (2021). Automated Detection and Segmentation of Brain Metastases in Malignant Melanoma: Evaluation of a Dedicated Deep Learning Model. American Journal of Neuroradiology. 42(4). 655–662. 28 indexed citations
4.
Pennig, Lenhard, Alexandra Krauskopf, Rahil Shahzad, et al.. (2021). Deep learning assistance increases the detection sensitivity of radiologists for secondary intracranial aneurysms in subarachnoid hemorrhage. Neuroradiology. 63(12). 1985–1994. 15 indexed citations
5.
Jünger, Stephanie T., Kai Roman Laukamp, Lukas Goertz, et al.. (2021). Fully Automated MR Detection and Segmentation of Brain Metastases in Non‐small Cell Lung Cancer Using Deep Learning. Journal of Magnetic Resonance Imaging. 54(5). 1608–1622. 28 indexed citations
6.
Pennig, Lenhard, Lukas Goertz, Rahil Shahzad, et al.. (2020). Primary Central Nervous System Lymphoma: Clinical Evaluation of Automated Segmentation on Multiparametric MRI Using Deep Learning. Journal of Magnetic Resonance Imaging. 53(1). 259–268. 18 indexed citations
7.
Shahzad, Rahil, Lenhard Pennig, Lukas Goertz, et al.. (2020). Fully automated detection and segmentation of intracranial aneurysms in subarachnoid hemorrhage on CTA using deep learning. Scientific Reports. 10(1). 21799–21799. 51 indexed citations
8.
Shahzad, Rahil, Arun Shankar, Raquel P. Amier, et al.. (2019). Quantification of aortic pulse wave velocity from a population based cohort: a fully automatic method. Journal of Cardiovascular Magnetic Resonance. 21(1). 27–27. 14 indexed citations
9.
10.
Shahzad, Rahil, Daniël Bos, Ricardo P.J. Budde, et al.. (2017). Automatic segmentation and quantification of the cardiac structures from non-contrast-enhanced cardiac CT scans. Physics in Medicine and Biology. 62(9). 3798–3813. 24 indexed citations
11.
Shahzad, Rahil, Qian Tao, Oleh Dzyubachyk, et al.. (2017). Fully-automatic left ventricular segmentation from long-axis cardiac cine MR scans. Medical Image Analysis. 39. 44–55. 19 indexed citations
12.
Wolterink, Jelmer M., Tim Leiner, Bob D. de Vos, et al.. (2016). An evaluation of automatic coronary artery calcium scoring methods with cardiac CT using the orCaScore framework. Medical Physics. 43(5). 2361–2373. 56 indexed citations
13.
Tao, Qian, Rahil Shahzad, Esra Gücük İpek, et al.. (2016). Fully automated segmentation of left atrium and pulmonary veins in late gadolinium enhanced MRI. Journal of Cardiovascular Magnetic Resonance. 18. O84–O84. 2 indexed citations
14.
Bos, Daniël, Rahil Shahzad, Theo van Walsum, et al.. (2015). Epicardial fat volume is related to atherosclerotic calcification in multiple vessel beds. European Heart Journal - Cardiovascular Imaging. 16(11). 1264–1269. 49 indexed citations
15.
Shahzad, Rahil, Oleh Dzyubachyk, Marius Staring, et al.. (2015). Automated extraction and labelling of the arterial tree from whole-body MRA data. Medical Image Analysis. 24(1). 28–40. 7 indexed citations
16.
Kirişli, Hortense A., Vikas Gupta, Rahil Shahzad, et al.. (2013). Additional Diagnostic Value of Integrated Analysis of Cardiac CTA and SPECT MPI Using the SMARTVis System in Patients with Suspected Coronary Artery Disease. Journal of Nuclear Medicine. 55(1). 50–57. 14 indexed citations
17.
Shahzad, Rahil, Daniël Bos, Coert Metz, et al.. (2013). Automatic quantification of epicardial fat volume on non‐enhanced cardiac CT scans using a multi‐atlas segmentation approach. Medical Physics. 40(9). 91910–91910. 50 indexed citations
18.
Shahzad, Rahil, Hortense A. Kirişli, Coert Metz, et al.. (2013). Automatic segmentation, detection and quantification of coronary artery stenoses on CTA. International journal of cardiac imaging. 29(8). 1847–1859. 59 indexed citations
19.
Shahzad, Rahil, Theo van Walsum, Michiel Schaap, et al.. (2012). Vessel Specific Coronary Artery Calcium Scoring. Academic Radiology. 20(1). 1–9. 59 indexed citations
20.
Shahzad, Rahil, Michiel Schaap, Theo van Walsum, et al.. (2010). A patient-specific coronary density estimate. 9–12. 9 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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