Article
Neurosciences
Oleksandr Popovych, Kyesam Jung, Thanos Manos, Sandra Diaz-Pier, Felix Hoffstaedter, Jan Schreiber, B. T. Thomas Yeo, Simon B. Eickhoff
Summary: Modern approaches in studying complex brain dynamics suggest representing the brain as a functional network defined by brain regions, with brain atlases strongly influencing model validation quality. Research explores the impact of brain atlases on model fitting to empirical data, aiming to provide comprehensive empirical evidence on the potential influences of parcellation choice.
Article
Neurosciences
Jinpeng Niu, Zihao Zheng, Ziqi Wang, Longchun Xu, Qingmin Meng, Xiaotong Zhang, Liangfeng Kuang, Shigang Wang, Li Dong, Jianfeng Qiu, Qing Jiao, Weifang Cao
Summary: Recent studies have demonstrated age-related changes in the functional interactions between the thalamus and cerebral cortices, and these changes are associated with decreased fluid intelligence.
FRONTIERS IN NEUROSCIENCE
(2022)
Article
Engineering, Biomedical
Fulin Wei, Xueyuan Xu, Tianyuan Jia, Daoqiang Zhang, Xia Wu
Summary: Individual differences present a challenge in motor imagery (MI) decoding. Multi-source transfer learning (MSTL) is a promising approach to reduce these differences. In this study, we propose a method called multi-source transfer joint matching (MSTJM) and weighted MSTJM (wMSTJM) to align data distribution between subject pairs and improve MI-BCI accuracy. Our framework outperformed state-of-the-art methods by at least 4.24% and 2.62%. This has potential implications for practical applications of MI-BCI.
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
(2023)
Article
Environmental Sciences
Jiguang Dai, Rongchen Ma, Litao Gong, Zimo Shen, Jialin Wu
Summary: A model-driven-to-sample-driven road extraction method is proposed, which establishes a road center point extraction model based on length constraints and gray mean contrast constraints of line sequences to extract some rural roads and improves automation by over 40% compared to other methods.
Article
Computer Science, Artificial Intelligence
Mazhar Abbas, Inho Cho, Jonghoon Kim
Summary: A battery model is constructed to reflect the dynamics of a battery in terms of terminal voltage under different stress factors, focusing on open-circuit voltage (OCV) and polarizations. Intelligent fitting techniques are necessary for online implementation to adjust the model according to changing conditions. Data-driven methods and the multilayer perceptron (MLP) with a gradient-descent back-propagation algorithm provide justification for the selection of components and can easily adapt to changes in battery life and operating conditions.
APPLIED SOFT COMPUTING
(2021)
Article
Meteorology & Atmospheric Sciences
Melissa L. Wrzesien, Sujay Kumar, Carrie Vuyovich, Ethan D. Gutmann, Rhae Sung Kim, Barton A. Forman, Michael Durand, Mark S. Raleigh, Ryan Webb, Paul Houser
Summary: This study uses model calibration tools to improve snow simulations in the Noah-MP LSM, resulting in more accurate spatial estimates of snow water equivalent and runoff. The calibrated simulations show better agreement with observed data and improved timing of snowmelt. Additionally, spatially distributed calibrated parameters outperform default uniform values.
JOURNAL OF HYDROMETEOROLOGY
(2022)
Article
Cell Biology
Katsuhiko Sato
Summary: Many fundamental biological processes depend on cell migration. While the mechanisms of single-cell migration are well understood, cluster migration involving multiple cells adhered to each other is poorly understood. This paper presents a two-dimensional cell membrane model that simulates cluster migration by representing cells as polygons and applying various mechanical forces on the cell surface.
FRONTIERS IN CELL AND DEVELOPMENTAL BIOLOGY
(2023)
Article
Engineering, Mechanical
M. Aucejo
Summary: This paper introduces a novel strategy for point force localization in the frequency domain, based on metamodeling techniques and independent of the excitation level. The ability of well-established techniques, such as Polynomial Chaos expansion or Universal Kriging, in providing accurate surrogate models for locating a point force through an optimization procedure is evaluated. The proposed methodology is applied in a purely data-driven context, and the obtained results demonstrate the good performance and robustness of the strategy for relatively small data sets and noise in both training and deployment phases.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2022)
Article
Geosciences, Multidisciplinary
Takaya Uchida, Julien Le Sommer, Charles Stern, Ryan P. Abernathey, Chris Holdgraf, Aurelie Albert, Laurent Brodeau, Eric P. Chassignet, Xiaobiao Xu, Jonathan Gula, Guillaume Roullet, Nikolay Koldunov, Sergey Danilov, Qiang Wang, Dimitris Menemenlis, Clement Bricaud, Brian K. Arbic, Jay F. Shriver, Fangli Qiao, Bin Xiao, Arne Biastoch, Rene Schubert, Baylor Fox-Kemper, William K. Dewar, Alan Wallcraft
Summary: With the increase in computational power, higher-resolution ocean models have been developed, but the larger data size poses challenges for data transfer and analysis. A cloud-based analysis framework is proposed to address these challenges, allowing for more efficient and collaborative analysis of model outputs.
GEOSCIENTIFIC MODEL DEVELOPMENT
(2022)
Article
Computer Science, Software Engineering
Haoran Sun, Shiyi Wang, Wenhai Wu, Yao Jin, Hujun Bao, Jin Huang
Summary: This study proposes a method to optimize mesh parameterization by using a perceptual model and rendering procedure, aiming to reduce the required number of pixels under comparable perceptual loss. By adopting a two-stage strategy and Bayesian optimization, the loss caused by discretization is effectively minimized while considering global consistency requirements.
COMPUTER GRAPHICS FORUM
(2022)
Article
Environmental Sciences
Jean-Pierre Chaboureau, Laurent Labbouz, Cyrille Flamant, Alma Hodzic
Summary: This study investigates the radiative effects of biomass burning aerosols (BBAs) over southern Africa and the southeastern Atlantic. The study finds that neglecting the radiative effects of BBAs in the model leads to inaccurate simulation results in terms of aerosol distribution, cloud cover, convective activity, and atmospheric circulation.
ATMOSPHERIC CHEMISTRY AND PHYSICS
(2022)
Article
Computer Science, Information Systems
Taehoon Kim, Kyoung-Sook Kim, Ki-Joune Li
Summary: This study proposes a new map matching method, USMM, to address indoor positioning issues, which shows significant improvement in accuracy. Experimental results demonstrate the effectiveness of the method in enhancing indoor location accuracy.
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
(2021)
Article
Energy & Fuels
Hyunmin Kim, Tsubasa Onishi, Hongquan Chen, Akhil Datta-Gupta
Summary: Embedded Discrete Fracture Model (EDFM) is a promising approach to describe reservoirs with fractures, and a novel parameterization and hierarchical multi-scale history matching formulation has been proposed to address the limitations of conventional inversion methods.
JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING
(2021)
Article
Computer Science, Artificial Intelligence
Kang Yin, Elissa Yanting Lim, Seong-Whan Lee
Summary: This study introduces a new unsupervised subject adaptation method called GITGAN for achieving domain adaptation in Brain-Computer Interface (BCI). By selecting high-quality source data, our method significantly enhances domain adaptation performance and demonstrates great potential for practical applications.
PATTERN RECOGNITION
(2024)
Article
Geochemistry & Geophysics
Zhen Cao, Dong Chen, Jiju Peethambaran, Zhenxin Zhang, Shaobo Xia, Liqiang Zhang
Summary: The study presents a method for creating high-fidelity geometric models of tunnel linings from Terrestrial Laser Scanning point clouds, using a two-stage algorithm and data-driven block segmentation combined with model-driven assembly techniques. Experimental results demonstrate that the proposed method performs well in geometric model fitting, making it applicable for monitoring and maintenance of metro tunnels.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2021)
Article
Clinical Neurology
J. Wu, S. P. Awate, D. J. Licht, C. Clouchoux, A. J. du Plessis, B. B. Avants, A. Vossough, J. C. Gee, C. Limperopoulos
AMERICAN JOURNAL OF NEURORADIOLOGY
(2015)
Article
Neurosciences
Andrea Brovelli, Jean-Michel Badier, Francesca Bonini, Fabrice Bartolomei, Olivier Coulon, Guillaume Auzias
JOURNAL OF NEUROSCIENCE
(2017)
Article
Neurosciences
Scott A. Love, Damien Marie, Muriel Roth, Romain Lacoste, Bruno Nazarian, Alice Bertello, Olivier Coulon, Jean-Luc Anton, Adrien Meguerditchian
Article
Neurosciences
William D. Hopkins, Oliver Coulon, Adrien Meguerditchian, Michelle Autrey, Kendall Davidek, Lindsay Mahovetz, Sarah Pope, Mary Catherine Mareno, Steven J. Schapiro
JOURNAL OF NEUROSCIENCE
(2017)
Review
Neuroimaging
Cyril Atkinson-Clement, Serge Pinto, Alexandre Eusebio, Olivier Coulon
NEUROIMAGE-CLINICAL
(2017)
Article
Neurosciences
Jean-Francois Lepage, Cedric Clouchoux, Maryse Lassonde, Alan C. Evans, Cheri L. Deal, Hugo Theoret
HUMAN BRAIN MAPPING
(2013)
Article
Endocrinology & Metabolism
Jean-Francois Lepage, Cedric Clouchoux, Maryse Lassonde, Alan C. Evans, Cheri L. Deal, Hugo Theoret
PSYCHONEUROENDOCRINOLOGY
(2014)
Article
Anatomy & Morphology
Alexandre Pron, Christine Deruelle, Olivier Coulon
Summary: This study investigated the spatial organization of U-shape fibers along the central sulcus using diffusion MRI data, identifying five major U-shape fiber bundles. It found a significant relationship between the position of three hand-related U-shape fiber bundles and the handedness score of subjects.
BRAIN STRUCTURE & FUNCTION
(2021)
Article
Neurosciences
C. Bodin, A. Pron, M. Le Mao, J. Regis, P. Belin, O. Coulon
Summary: The study reveals that plis de passage (PPs) can be identified as landmarks from the geometry of the STS walls, with their depth related to white-matter connectivity. These findings propose new hypotheses regarding the spatial organization of PPs, the relationship between cortical anatomy and structural connectivity, and the potential role of PPs in regional functional organization.
Article
Neurosciences
Patrick Friedrich, Stephanie J. Forkel, Celine Amiez, Joshua H. Balsters, Olivier Coulon, Lingzhong Fan, Alexandros Goulas, Fadila Hadj-Bouziane, Erin E. Hecht, Katja Heuer, Tianzi Jiang, Robert D. Latzman, Xiaojin Liu, Kep Kee Loh, Kaustubh R. Patil, Alizee Lopez-Persem, Emmanuel Procyk, Jerome Sallet, Roberto Toro, Sam Vickery, Susanne Weis, Charles R. E. Wilson, Ting Xu, Valerio Zerbi, Simon B. Eickoff, Daniel S. Margulies, Rogier B. Mars, Michel Thiebaut de Schotten
Summary: Evolution strikes a balance between ancestral history and current adaptations in animals. Comparing species can provide insights into evolutionary history, while comparative neuroimaging uses MRI to identify similarities and differences in brain structure and function across species.
Review
Neurosciences
Clara Bremond Martin, Camille Simon Chane, Cedric Clouchoux, Aymeric Histace
Summary: The use of cerebral organoids has exponentially increased since 2013, making manual analysis of generated data challenging. Confocal and bright-field microscopy are the most commonly used acquisition techniques, with cell counting and morphological parameter calculation being the main tasks. Image analysis is mostly done using ImageJ and Matlab, with treatments remaining mostly semi-automatic.
FRONTIERS IN NEUROSCIENCE
(2021)
Article
Biology
Huaqian Wu, Nicolas Souedet, Caroline Jan, Cedric Clouchoux, Thierry Delzescaux
Summary: This paper presents an end-to-end framework for automatically detecting and segmenting neuronal cells in histological images, using point annotations and binary segmentation to synthesize pixel-level annotations. The model demonstrates superior performance in cell instance segmentation, and the proposed post-processing strategy outperforms other classical methods.
COMPUTERS IN BIOLOGY AND MEDICINE
(2022)
Article
Neurosciences
Tianqi Song, Clementine Bodin, Olivier Coulon
Summary: This study presents an automatic method to detect transverse gyri in the superior temporal sulcus. The local morphology within the sulcus is characterized using cortical surface profiling, and the 3D gyri recognition problem is transformed into a 2D image classification problem. The results demonstrate the effectiveness and robustness of the proposed approach.
Proceedings Paper
Computer Science, Interdisciplinary Applications
Clara Bremond-Martin, Camille Simon-Chane, Cedric Clouchoux, Aymeric Histace
Summary: This study proposes the use of Topological Data Analysis (TDA) combined with clustering strategies to characterize the morphological development of brain organoids. The results highlight specific morphological patterns at different developmental stages of the brain organoids.
ETHICAL AND PHILOSOPHICAL ISSUES IN MEDICAL IMAGING, MULTIMODAL LEARNING AND FUSION ACROSS SCALES FOR CLINICAL DECISION SUPPORT, AND TOPOLOGICAL DATA ANALYSIS FOR BIOMEDICAL IMAGING, EPIMI 2022, ML-CDS 2022, TDA4BIOMEDICALIMAGING
(2022)
Proceedings Paper
Computer Science, Artificial Intelligence
Clara Bremond Martin, Camille Simon Chane, Cedric Clouchoux, Aymeric Histace
Summary: This study utilizes noise injection to generate brain organoid images with backgrounds closer to those observed under a microscope. The effectiveness of these generated images is validated through metric calculations and feature dimensionality reduction. Validation by biological experts can expand the dataset and enable analysis using deep learning solutions.
2022 ELEVENTH INTERNATIONAL CONFERENCE ON IMAGE PROCESSING THEORY, TOOLS AND APPLICATIONS (IPTA)
(2022)
Article
Neurosciences
Jose Sanchez-Bornot, Roberto C. Sotero, J. A. Scott Kelso, Ozguer Simsek, Damien Coyle
Summary: This study proposes a multi-penalized state-space model for analyzing unobserved dynamics, using a data-driven regularization method. Novel algorithms are developed to solve the model, and a cross-validation method is introduced to evaluate regularization parameters. The effectiveness of this method is validated through simulations and real data analysis, enabling a more accurate exploration of cognitive brain functions.
