Alexis Lechervy

442 total citations
14 papers, 59 citations indexed

About

Alexis Lechervy is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Alexis Lechervy has authored 14 papers receiving a total of 59 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 5 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Artificial Intelligence. Recurrent topics in Alexis Lechervy's work include Radiomics and Machine Learning in Medical Imaging (5 papers), Medical Imaging Techniques and Applications (3 papers) and Advanced Image and Video Retrieval Techniques (3 papers). Alexis Lechervy is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (5 papers), Medical Imaging Techniques and Applications (3 papers) and Advanced Image and Video Retrieval Techniques (3 papers). Alexis Lechervy collaborates with scholars based in France, India and Portugal. Alexis Lechervy's co-authors include Frédéric Jurie, Valentin Vielzeuf, Stéphane Pateux, A. Batalla, Aurélien Corroyer‐Dulmont, Cyril Jaudet, Stéphane Bardet, Gaël Dias, José G. Moreno and Joëlle Lacroix and has published in prestigious journals such as NeuroImage, Cancers and Frontiers in Oncology.

In The Last Decade

Alexis Lechervy

11 papers receiving 59 citations

Peers

Countries citing papers authored by Alexis Lechervy

Since Specialization

Citations

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

Fields of papers citing papers by Alexis Lechervy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexis Lechervy

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

All Works

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14 of 14 papers shown

#	Work	Indexed citations
1	Early characterization and prediction of glioblastoma and brain metastasis treatment efficacy using medical imaging-based radiomics and artificial intelligence algorithms 2025 ·Frontiers in Oncology ·(unknown), Samuel Valable, Cyril Jaudet, (unknown), L. Thomas, Romain Hérault, Romain Modzelewski, Dinu Stefan, Juliette Thariat, Alexis Lechervy, Aurélien Corroyer‐Dulmont	1
2	CHASE: Channel-Wise and Spatial Attention for Early Exiting in Image Classification 2025 ·(unknown), Alexis Lechervy, Frédéric Jurie	0
3	Development and routine implementation of deep learning algorithm for automatic brain metastases segmentation on MRI for RANO-BM criteria follow-up 2025 ·NeuroImage ·(unknown), (unknown), Roger Y. Andres, (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), Joëlle Lacroix, Alexis Lechervy, Dinu Stefan, Aurélien Corroyer‐Dulmont	0
4	Artificial intelligence solution to accelerate the acquisition of MRI images: Impact on the therapeutic care in oncology in radiology and radiotherapy departments 2024 ·Cancer/Radiothérapie ·R Lemaire, (unknown), (unknown), Cyril Jaudet, (unknown), (unknown), (unknown), (unknown), Alexis Lechervy, Joëlle Lacroix, (unknown), Stéphane Bardet, Juliette Thariat, (unknown), (unknown)	3
5	Structure-Preserving Transformers for Sequences of SPD Matrices 2024 ·(unknown), Alexis Lechervy, Florian Yger, Luc Brun, Olivier Etard	0
6	Automatic Classification of Sleep Stages from EEG Signals Using Riemannian Metrics and Transformer Networks 2024 ·SN Computer Science ·(unknown), Alexis Lechervy, Florian Yger, Luc Brun, Olivier Etard	1
7	Multi-Exit Resource-Efficient Neural Architecture for Image Classification with Optimized Fusion Block 2023 ·(unknown), Alexis Lechervy, Frédéric Jurie	2
8	Combining Vision and Language Representations for Patch-based Identification of Lexico-Semantic Relations 2022 ·Proceedings of the 30th ACM International Conference on Multimedia ·(unknown), Gaël Dias, Alexis Lechervy, José G. Moreno, (unknown), (unknown), Sriparna Saha	4
9	The Impact of Resampling and Denoising Deep Learning Algorithms on Radiomics in Brain Metastases MRI 2021 ·Cancers ·(unknown), Cyril Jaudet, Alexis Lechervy, Samuel Valable, (unknown), (unknown), Juliette Thariat, Nadia Falzone, Joëlle Lacroix, A. Batalla, Aurélien Corroyer‐Dulmont	11
10	The Impact of Artificial Intelligence CNN Based Denoising on FDG PET Radiomics 2021 ·Frontiers in Oncology ·Cyril Jaudet, (unknown), Alexis Lechervy, A. Batalla, Stéphane Bardet, Aurélien Corroyer‐Dulmont	15
11	Improving Neural Text Style Transfer by Introducing Loss Function Sequentiality 2021 ·(unknown), Gaël Dias, Alexis Lechervy, Asif Ekbal	1
12	Multilevel Sensor Fusion With Deep Learning 2018 ·IEEE Sensors Letters ·Valentin Vielzeuf, Alexis Lechervy, Stéphane Pateux, Frédéric Jurie	19
13	MLBoost Revisited: A Faster Metric Learning Algorithm for Identity-Based Face Retrieval 2016 ·(unknown), Alexis Lechervy, Frédéric Jurie	1
14	Boosted kernel for image categorization 2013 ·Multimedia Tools and Applications ·Alexis Lechervy, Philippe-Henri Gosselin, Fŕed́eric Precioso	1

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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