Yannick Suter

664 total citations
17 papers, 392 citations indexed

About

Yannick Suter is a scholar working on Radiology, Nuclear Medicine and Imaging, Genetics and Cognitive Neuroscience. According to data from OpenAlex, Yannick Suter has authored 17 papers receiving a total of 392 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Radiology, Nuclear Medicine and Imaging, 4 papers in Genetics and 3 papers in Cognitive Neuroscience. Recurrent topics in Yannick Suter's work include Radiomics and Machine Learning in Medical Imaging (7 papers), Glioma Diagnosis and Treatment (4 papers) and MRI in cancer diagnosis (3 papers). Yannick Suter is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (7 papers), Glioma Diagnosis and Treatment (4 papers) and MRI in cancer diagnosis (3 papers). Yannick Suter collaborates with scholars based in Switzerland, United States and Australia. Yannick Suter's co-authors include Mauricio Reyes, Pablo Sinues, Diego García‐Gómez, Lukas Bregy, Malcolm Kohler, Renato Zenobi, Roland Wiest, Martin Thomas Gaugg, Thomas Gaisl and Yvonne Nussbaumer‐Ochsner and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Thorax.

In The Last Decade

Yannick Suter

16 papers receiving 388 citations

Peers

Yannick Suter

RNMI

PRM

PPCH

Lalith Kumar Shiyam Sundar Austria

Patrick Hiepe Germany

Enedino Hernández‐Torres Canada

Vivien Tóth Germany

Xianchun Zeng China

Mariko Yoshida Takemura Japan

Mitsuo Nishizawa Japan

Victor Schmidbauer Austria

D. Rodríguez United Kingdom

Tara Retson United States

Lalith Kumar Shiyam Sundar Austria

Yannick Suter

293 ×1.4

RNMI

106 ×0.8

43 ×0.8

PRM

14 ×0.3

PPCH

26 ×0.6

Citations per year, relative to Yannick Suter Yannick Suter (= 1×) peers Lalith Kumar Shiyam Sundar

Countries citing papers authored by Yannick Suter

Since Specialization

Citations

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

Fields of papers citing papers by Yannick Suter

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yannick Suter

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

All Works

Sort: Min cites: Since: Top N: Style:

17 of 17 papers shown

Mortanges, Aurélie Pahud de, et al.. (2024). Orchestrating explainable artificial intelligence for multimodal and longitudinal data in medical imaging. npj Digital Medicine. 7(1). 195–195. 21 indexed citations

Suter, Yannick, et al.. (2023). PyRaDiSe: A Python package for DICOM-RT-based auto-segmentation pipeline construction and DICOM-RT data conversion. Computer Methods and Programs in Biomedicine. 231. 107374–107374. 6 indexed citations

Pérez-Beteta, Julián, David Molina-García, Yannick Suter, et al.. (2023). A comprehensive dataset of annotated brain metastasis MR images with clinical and radiomic data. Scientific Data. 10(1). 208–208. 23 indexed citations

Suter, Yannick, Raphael Meier, Philippe Schucht, et al.. (2023). Evaluating automated longitudinal tumor measurements for glioblastoma response assessment. SHILAP Revista de lepidopterología. 3. 1211859–1211859. 2 indexed citations

Suter, Yannick, Annalisa Berzigotti, Michael P. Brönnimann, et al.. (2023). Automated liver segmental volume ratio quantification on non-contrast T1–Vibe Dixon liver MRI using deep learning. European Journal of Radiology. 167. 111047–111047. 7 indexed citations

Suter, Yannick, Urspeter Knecht, Waldo Valenzuela, et al.. (2022). The LUMIERE dataset: Longitudinal Glioblastoma MRI with expert RANO evaluation. Scientific Data. 9(1). 768–768. 13 indexed citations

Suter, Yannick, Annalisa Berzigotti, Lukas Ebner, et al.. (2022). Convolutional neural network for automated segmentation of the liver and its vessels on non-contrast T1 vibe Dixon acquisitions. Scientific Reports. 12(1). 22059–22059. 16 indexed citations

Suter, Yannick, et al.. (2022). PyRaDiSe: A Python Package for DICOM-RT-Based Auto-Segmentation Pipeline Construction and DICOM-RT Data Conversion. SSRN Electronic Journal.

Suter, Yannick, Urspeter Knecht, Waldo Valenzuela, et al.. (2020). Radiomics for glioblastoma survival analysis in pre-operative MRI: exploring feature robustness, class boundaries, and machine learning techniques. Cancer Imaging. 20(1). 55–55. 43 indexed citations

10.

Rebsamen, Michael, Yannick Suter, Roland Wiest, Mauricio Reyes, & Christian Rummel. (2020). Brain Morphometry Estimation: From Hours to Seconds Using Deep Learning. Frontiers in Neurology. 11. 244–244. 11 indexed citations

11.

Bregy, Lukas, Yvonne Nussbaumer‐Ochsner, Pablo Sinues, et al.. (2018). Real-time mass spectrometric identification of metabolites characteristic of chronic obstructive pulmonary disease in exhaled breath. PubMed. 7. 29–35. 53 indexed citations

12.

Suter, Yannick, Christian Rummel, Roland Wiest, & Mauricio Reyes. (2018). Fast and uncertainty-aware cerebral cortex morphometry estimation using random forest regression. 12. 1052–1055. 2 indexed citations

13.

Zhang, Fan, Pegah Kahali, Yannick Suter, et al.. (2017). Automated connectivity-based groupwise cortical atlas generation: Application to data of neurosurgical patients with brain tumors for cortical parcellation prediction. 774–777. 10 indexed citations

14.

O’Donnell, Lauren J., Yannick Suter, Laura Rigolo, et al.. (2016). Automated white matter fiber tract identification in patients with brain tumors. NeuroImage Clinical. 13. 138–153. 102 indexed citations

15.

Schwarz, Esther I., Pablo Sinues, Lukas Bregy, et al.. (2015). Effects of CPAP therapy withdrawal on exhaled breath pattern in obstructive sleep apnoea. Thorax. 71(2). 110–117. 51 indexed citations

16.

Vaucher, Alain C., et al.. (2015). Two Bronze Medals for Switzerland at the 46th International Chemistry Olympiad in Hanoi, Vietnam. CHIMIA International Journal for Chemistry. 69(1-2). 71–71. 1 indexed citations

17.

Bregy, Lukas, Pablo Sinues, Diego García‐Gómez, et al.. (2015). Differentiation of oral bacteria in in vitro cultures and human saliva by secondary electrospray ionization – mass spectrometry. Scientific Reports. 5(1). 15163–15163. 31 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.

Explore authors with similar magnitude of impact