Maxime Bassenne

879 total citations · 1 hit paper
16 papers, 629 citations indexed

About

Maxime Bassenne is a scholar working on Computational Mechanics, Ocean Engineering and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Maxime Bassenne has authored 16 papers receiving a total of 629 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computational Mechanics, 8 papers in Ocean Engineering and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Maxime Bassenne's work include Particle Dynamics in Fluid Flows (8 papers), Fluid Dynamics and Turbulent Flows (6 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). Maxime Bassenne is often cited by papers focused on Particle Dynamics in Fluid Flows (8 papers), Fluid Dynamics and Turbulent Flows (6 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). Maxime Bassenne collaborates with scholars based in United States, France and South Korea. Maxime Bassenne's co-authors include Lei Xing, Hyunseok Seo, Ruoxiu Xiao, Charles Huang, Parviz Moin, Javier Urzay, George Ilhwan Park, Perry L. Johnson, Md Tauhidul Islam and Varun Vasudevan and has published in prestigious journals such as Journal of Fluid Mechanics, International Journal of Radiation Oncology*Biology*Physics and IEEE Transactions on Medical Imaging.

In The Last Decade

Maxime Bassenne

16 papers receiving 615 citations

Hit Papers

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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.

Modified U-Net (mU-Net) With Incorporation of Object-Dependent High Level Features for Improved Liver and Liver-Tumor Segmentation in CT Images

2019 311 citations Hyunseok Seo, Charles Huang et al. IEEE Transactions on Medical Imaging profile →

Peers

Countries citing papers authored by Maxime Bassenne

Since Specialization

Citations

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

Fields of papers citing papers by Maxime Bassenne

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maxime Bassenne

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

All Works

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16 of 16 papers shown

#	Work	Indexed citations
1	Image classification using graph neural network and multiscale wavelet superpixels 2023 ·Pattern Recognition Letters ·Varun Vasudevan, Maxime Bassenne, Md Tauhidul Islam, Lei Xing	26
2	Multicellular Spheroids as In Vitro Models of Oxygen Depletion During FLASH Irradiation 2021 ·International Journal of Radiation OncologyBiologyPhysics ·Syamantak Khan, Maxime Bassenne, Jinghui Wang, Rakesh Manjappa, Stavros Melemenidis, Dylan Y. Breitkreutz, Peter G. Maxim, Lei Xing, Billy W. Loo, Guillem Pratx	39
3	Human-level comparable control volume mapping with a deep unsupervised-learning model for image-guided radiation therapy 2021 ·Computers in Biology and Medicine ·Xiaokun Liang, Maxime Bassenne, Dimitre Hristov, Md Tauhidul Islam, Wei Zhao, Mengyu Jia, Zhicheng Zhang, Michael F. Gensheimer, Beth M. Beadle, (unknown), Lei Xing	1
4	A filtering strategy for the numerical convergence of radiation transport through purely absorbing particle clouds 2020 ·Journal of Quantitative Spectroscopy and Radiative Transfer ·(unknown), Maxime Bassenne, Ali Mani	1
5	Closing the Gap Between Deep Neural Network Modeling and Biomedical Decision-Making Metrics in Segmentation via Adaptive Loss Functions 2020 ·IEEE Transactions on Medical Imaging ·Hyunseok Seo, Maxime Bassenne, Lei Xing	16
6	Deep Learning Prediction of Cancer Prevalence from Satellite Imagery 2020 ·Cancers ·Jean‐Emmanuel Bibault, Maxime Bassenne, (unknown), Lei Xing	11
7	Modified U-Net (mU-Net) With Incorporation of Object-Dependent High Level Features for Improved Liver and Liver-Tumor Segmentation in CT Images breakdown → 2019 ·IEEE Transactions on Medical Imaging ·Hyunseok Seo, Charles Huang, Maxime Bassenne, Ruoxiu Xiao, Lei Xing	311
8	A dynamic spectrally enriched subgrid-scale model for preferential concentration in particle-laden turbulence 2019 ·International Journal of Multiphase Flow ·Maxime Bassenne, Mahdi Esmaily, Daniel Livescu, Parviz Moin, Javier Urzay	22
9	Mitigation of turbophoresis in particle-laden turbulent channel flows by using incident electric fields 2019 ·Physical Review Fluids ·Mario Di Renzo, Perry L. Johnson, Maxime Bassenne, (unknown), Javier Urzay	11
10	Turbophoresis of small inertial particles: theoretical considerations and application to wall-modelled large-eddy simulations 2019 ·Journal of Fluid Mechanics ·Perry L. Johnson, Maxime Bassenne, Parviz Moin	40
11	Mandala-inspired representation of the turbulent energy cascade 2018 ·Physical Review Fluids ·Maxime Bassenne, H. Jane Bae, Adrián Lozano-Durán	1
12	Wavelet multiresolution analysis of particle-laden turbulence 2018 ·Physical Review Fluids ·Maxime Bassenne, Parviz Moin, Javier Urzay	14
13	Spatially localized multi-scale energy transfer in turbulent premixed combustion 2018 ·Journal of Fluid Mechanics ·(unknown), Maxime Bassenne, (unknown), Peter E. Hamlington, Alexei Poludnenko, Javier Urzay	30
14	A simple dynamic subgrid-scale model for LES of particle-laden turbulence 2017 ·Physical Review Fluids ·George Ilhwan Park, Maxime Bassenne, Javier Urzay, Parviz Moin	40
15	Extraction of coherent clusters and grid adaptation in particle-laden turbulence using wavelet filters 2017 ·Physical Review Fluids ·Maxime Bassenne, Javier Urzay, Kai Schneider, Parviz Moin	12
16	Constant-energetics physical-space forcing methods for improved convergence to homogeneous-isotropic turbulence with application to particle-laden flows 2016 ·Physics of Fluids ·Maxime Bassenne, Javier Urzay, George Ilhwan Park, Parviz Moin	54

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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