Stefano Trebeschi

2.2k total citations · 1 hit paper
47 papers, 1.5k citations indexed

About

Stefano Trebeschi is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Stefano Trebeschi has authored 47 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Radiology, Nuclear Medicine and Imaging, 17 papers in Pulmonary and Respiratory Medicine and 17 papers in Oncology. Recurrent topics in Stefano Trebeschi's work include Radiomics and Machine Learning in Medical Imaging (31 papers), Colorectal Cancer Surgical Treatments (8 papers) and Cancer Immunotherapy and Biomarkers (8 papers). Stefano Trebeschi is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (31 papers), Colorectal Cancer Surgical Treatments (8 papers) and Cancer Immunotherapy and Biomarkers (8 papers). Stefano Trebeschi collaborates with scholars based in Netherlands, United States and Denmark. Stefano Trebeschi's co-authors include Regina G. H. Beets‐Tan, Doenja M. J. Lambregts, Zuhir Bodalal, Hugo J.W.L. Aerts, Thi Dan Linh Nguyen‐Kim, Chintan Parmar, Winnie Schats, Andrea Delli Pizzi, Frans C. H. Bakers and Joost J. M. van Griethuysen and has published in prestigious journals such as Journal of Clinical Oncology, Cancer and Scientific Reports.

In The Last Decade

Stefano Trebeschi

43 papers receiving 1.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Predicting response to cancer immunotherapy using noninvasive radiomic biomarkers

2019 372 citations Stefano Trebeschi, Ieva Kurilova et al. Annals of Oncology profile →

Peers

Countries citing papers authored by Stefano Trebeschi

Since Specialization

Citations

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

Fields of papers citing papers by Stefano Trebeschi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefano Trebeschi

This figure shows the co-authorship network connecting the top 25 collaborators of Stefano Trebeschi. A scholar is included among the top collaborators of Stefano Trebeschi 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 Stefano Trebeschi. Stefano Trebeschi 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:

20 of 20 papers shown

#	Work	Indexed citations
1	Prospective validation of an artificial intelligence assessment in a cohort of applicants seeking financial compensation for asbestosis (PROSBEST) 2025 ·European Radiology Experimental ·(unknown), (unknown), Stefano Trebeschi, Martijn M. Stuiver, (unknown), Jacobus A. Burgers, Cornedine J. de Gooijer	0
2	RECIST progression: Patterns among target, non-target, non-measurable and new lesions progression 2025 ·European Journal of Radiology ·(unknown), (unknown), (unknown), (unknown), Marco Macchia, Nicola Tinari, Davide Brocco, Geerard L. Beets, Andrea Delli Pizzi, Stefano Trebeschi	0
3	74P Radiologists variability of RECIST and Choi in localized soft tissue sarcoma 2025 ·ESMO Open ·(unknown), Nicolò Gennaro, Annemarie Bruining, Rick L. Haas, (unknown), Stefano Trebeschi	0
4	Non-invasive CT radiomic biomarkers predict microsatellite stability status in colorectal cancer: a multicenter validation study 2024 ·European Radiology Experimental ·Zuhir Bodalal, Eun Kyoung Hong, Stefano Trebeschi, Ieva Kurilova, (unknown), (unknown), (unknown), Giovanni Randon, Pétur Snæbjörnsson, Filippo Pietrantonio, Jeong Min Lee, Geerard L. Beets, Regina G. H. Beets‐Tan	8
5	Heterogeneity in response to neoadjuvant radiotherapy between soft tissue sarcoma histotypes: associations between radiology and pathology findings 2024 ·European Radiology ·Nicolò Gennaro, (unknown), Sophie J. M. Reijers, Hester van Boven, Pétur Snæbjörnsson, Elise M. Bekers, Zuhir Bodalal, Stefano Trebeschi, Yvonne Schrage, Winette T.A. van der Graaf, Winan J. van Houdt, (unknown), Yury Velichko, Regina G. H. Beets‐Tan, Annemarie Bruining	4
6	1910MO ARTIMES: Automated response evaluation to treatment in mesothelioma 2024 ·Annals of Oncology ·(unknown), Rianne Wittenberg, Mateus de Oliveira Taveira, (unknown), (unknown), Thierry N. Boellaard, (unknown), (unknown), (unknown), (unknown), (unknown), Amrita Bajaj, Dean A. Fennell, Alessandra Curioni‐Fontecedro, Thi Dan Linh Nguyen‐Kim, Renaud Tissier, (unknown), Sjaak A. Burgers, (unknown), Stefano Trebeschi	1
7	Artificial intelligence in immunotherapy PET/SPECT imaging 2024 ·European Radiology ·(unknown), Delphine L. Chen, Stefano Trebeschi, Michael D. Farwell, Anna M. Wu, Cathy S. Cutler, Lawrence H. Schwartz, Laurent Dercle	4
8	How Does Target Lesion Selection Affect RECIST? A Computer Simulation Study 2023 ·Investigative Radiology ·(unknown), Renaud Tissier, (unknown), Zuhir Bodalal, Andrea Delli Pizzi, Thi Dan Linh Nguyen‐Kim, Regina G. H. Beets‐Tan, Stefano Trebeschi	5
9	Radiomic signatures from T2W and DWI MRI are predictive of tumour hypoxia in colorectal liver metastases 2023 ·Insights into Imaging ·Zuhir Bodalal, (unknown), Leon C. ter Beek, José G. van den Berg, Joyce Sanders, Ingrid Hofland, Stefano Trebeschi, (unknown), (unknown), Eun Kyoung Hong, (unknown), Monique Maas, Regina G. H. Beets‐Tan, Fernando M. Gómez, Ieva Kurilova	10
10	Artificial Intelligence–based Quantification of Pleural Plaque Volume and Association With Lung Function in Asbestos-exposed Patients 2023 ·Journal of Thoracic Imaging ·(unknown), Thierry N. Boellaard, Cornedine J. de Gooijer, (unknown), Eun Kyoung Hong, (unknown), (unknown), (unknown), (unknown), Ferdinand van der Heijden, Regina G. H. Beets‐Tan, Rianne Wittenberg, Zuhir Bodalal, Jacobus A. Burgers, Stefano Trebeschi	1
11	Circulating Extracellular Vesicles: Their Role in Patients with Abdominal Aortic Aneurysm (AAA) Undergoing EndoVascular Aortic Repair (EVAR) 2022 ·International Journal of Molecular Sciences ·(unknown), Andrea Delli Pizzi, Pasquale Simeone, (unknown), (unknown), Michela Villani, (unknown), (unknown), (unknown), Piero Chiacchiaretta, Stefano Trebeschi, Sebastianó Miscia, Massimo Caulo, Paola Lanuti	2
12	Radiomics-based machine learning differentiates “ground-glass” opacities due to COVID-19 from acute non-COVID-19 lung disease 2021 ·Scientific Reports ·Andrea Delli Pizzi, Antonio Maria Chiarelli, Piero Chiacchiaretta, (unknown), Pierpaolo Croce, Domenico Mastrodicasa, Michela Villani, Stefano Trebeschi, (unknown), Consuelo Rosa, Giulio Cocco, (unknown), (unknown), (unknown), (unknown), (unknown), Valentina Panara, Stefano Marinari, Jacopo Vecchiet, Massimo Caulo	15
13	Development of a Prognostic AI-Monitor for Metastatic Urothelial Cancer Patients Receiving Immunotherapy 2021 ·Frontiers in Oncology ·Stefano Trebeschi, Zuhir Bodalal, Nick van Dijk, Thierry N. Boellaard, (unknown), (unknown), Thi Dan Linh Nguyen‐Kim, Michiel S. van der Heijden, Hugo J.W.L. Aerts, Regina G. H. Beets‐Tan	9
14	Machine learning-based analysis of CT radiomics model for prediction of colorectal metachronous liver metastases 2020 ·Abdominal Radiology ·(unknown), Stefano Trebeschi, Rita Simões, (unknown), (unknown), Doenja M. J. Lambregts, Cornelis Verhoef, Janneke B. Houwers, Uulke A. van der Heide, Geerard L. Beets, Monique Maas	65
15	Radiogenomics: bridging imaging and genomics 2019 ·Abdominal Radiology ·Zuhir Bodalal, Stefano Trebeschi, Thi Dan Linh Nguyen‐Kim, Winnie Schats, Regina G. H. Beets‐Tan	208
16	Radiomics performs comparable to morphologic assessment by expert radiologists for prediction of response to neoadjuvant chemoradiotherapy on baseline staging MRI in rectal cancer 2019 ·Abdominal Radiology ·Joost J. M. van Griethuysen, Doenja M. J. Lambregts, Stefano Trebeschi, Max J. Lahaye, Frans C. H. Bakers, Roy F. A. Vliegen, Geerard L. Beets, Hugo J.W.L. Aerts, Regina G. H. Beets‐Tan	44
17	Prenatal planning of placenta previa: diagnostic accuracy of a novel MRI-based prediction model for placenta accreta spectrum (PAS) and clinical outcome 2019 ·Abdominal Radiology ·Andrea Delli Pizzi, (unknown), (unknown), Domenico Mastrodicasa, Stefano Trebeschi, Claudio Celentano, (unknown), Roberta Cianci, (unknown), (unknown), Marco Liberati, Antonio Raffaele Cotroneo, Massimo Caulo, Raffaella Basilico	47
18	CT texture analysis in colorectal liver metastases and the surrounding liver parenchyma and its potential as an imaging biomarker of disease aggressiveness, response and survival 2018 ·European Journal of Radiology ·(unknown), Stefano Trebeschi, Monique Maas, R. S. Schnerr, (unknown), Geerard L. Beets, Janneke B. Houwers, Doenja M. J. Lambregts	54
19	Deep Learning for Fully-Automated Localization and Segmentation of Rectal Cancer on Multiparametric MR 2017 ·Scientific Reports ·Stefano Trebeschi, Joost J. M. van Griethuysen, Doenja M. J. Lambregts, Max J. Lahaye, Chintan Parmar, Frans C. H. Bakers, Nicky H. G. M. Peters, Regina G. H. Beets‐Tan, Hugo J.W.L. Aerts	211
20	Diffusion tensor image features predict IDH genotype in newly diagnosed WHO grade II/III gliomas 2017 ·Scientific Reports ·Paul Eichinger, Esther Alberts, Claire Delbridge, Stefano Trebeschi, Alexander Valentinitsch, Stefanie Bette, Thomas S. Huber, Jens Gempt, Bernhard Meyer, Jürgen Schlegel, Claus Zimmer, Jan S. Kirschke, Bjoern Menze, Benedikt Wiestler	58

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