Ludovic Sibille

500 total citations
6 papers, 296 citations indexed

About

Ludovic Sibille is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Pathology and Forensic Medicine. According to data from OpenAlex, Ludovic Sibille has authored 6 papers receiving a total of 296 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Pulmonary and Respiratory Medicine and 1 paper in Pathology and Forensic Medicine. Recurrent topics in Ludovic Sibille's work include Medical Imaging Techniques and Applications (6 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Lung Cancer Diagnosis and Treatment (3 papers). Ludovic Sibille is often cited by papers focused on Medical Imaging Techniques and Applications (6 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Lung Cancer Diagnosis and Treatment (3 papers). Ludovic Sibille collaborates with scholars based in Germany, United States and United Kingdom. Ludovic Sibille's co-authors include Bruce Spottiswoode, Sven Zuehlsdorff, Nemanja Avramović, Michael Schäfers, Robert Seifert, Irène Buvat, Laëtitia Vercellino, Catherine Thiéblemont, Anne‐Ségolène Cottereau and Michel Meignan and has published in prestigious journals such as Radiology, Journal of Nuclear Medicine and European Journal of Nuclear Medicine and Molecular Imaging.

In The Last Decade

Ludovic Sibille

5 papers receiving 293 citations

Peers

Countries citing papers authored by Ludovic Sibille

Since Specialization

Citations

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

Fields of papers citing papers by Ludovic Sibille

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ludovic Sibille

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

All Works

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6 of 6 papers shown

#	Work	Indexed citations
1	Multi‐branch convolutional neural network for Alzheimer’s Disease versus normal control classification using PET images 2023 ·Alzheimer s & Dementia ·Rishabh Sharma, Ludovic Sibille, Rachid Fahmi	0
2	Whole-body uptake classification and prostate cancer staging in 68Ga-PSMA-11 PET/CT using dual-tracer learning 2021 ·European Journal of Nuclear Medicine and Molecular Imaging ·(unknown), Ludovic Sibille, Maythinee Chantadisai, Andrei Gafita, Thomas Langbein, Guenther Platsch, (unknown), Vijay Shah, Bruce Spottiswoode, Matthias Eiber, Wolfgang Weber, Nassir Navab, Stephan G. Nekolla	31
3	Evaluation of an Automatic Classification Algorithm Using Convolutional Neural Networks in Oncological Positron Emission Tomography 2021 ·Frontiers in Medicine ·(unknown), (unknown), Stéphanie Becker, Vijay Shah, Ludovic Sibille, (unknown), Romain Modzelewski, Pierre Véra, Pierre Decazes	23
4	Deep-Learning ¹⁸F-FDG Uptake Classification Enables Total Metabolic Tumor Volume Estimation in Diffuse Large B-Cell Lymphoma 2020 ·Journal of Nuclear Medicine ·(unknown), Michel Meignan, Anne‐Ségolène Cottereau, Laëtitia Vercellino, Ludovic Sibille, Bruce Spottiswoode, Sven Zuehlsdorff, Olivier Casasnovas, Catherine Thiéblemont, Irène Buvat	90
5	¹⁸F-FDG PET/CT Uptake Classification in Lymphoma and Lung Cancer by Using Deep Convolutional Neural Networks 2019 ·Radiology ·Ludovic Sibille, Robert Seifert, Nemanja Avramović, (unknown), Bruce Spottiswoode, Sven Zuehlsdorff, Michael Schäfers	148
6	PET Uptake Classification in Lymphoma and Lung Cancer using Deep Learning 2018 ·Ludovic Sibille, Nemanja Avramović, Bruce Spottiswoode, (unknown), Sven Zuehlsdorff, Jérôme Declerck	4

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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