Zobrazeno 1 - 10
of 72
pro vyhledávání: '"Kristofer E. Bouchard"'
Publikováno v:
SoftwareX, Vol 26, Iss , Pp 101673- (2024)
The processing and analysis of computed tomography (CT) imaging is important for both basic scientific development and clinical applications. In AutoCT, we provide a comprehensive pipeline that integrates an end-to-end automatic preprocessing, regist
Externí odkaz:
https://doaj.org/article/9996dba1a6e246bf91e52edc0a82e479
Autor:
Andrew Tritt, John K. Yue, Adam R. Ferguson, Abel Torres Espin, Lindsay D. Nelson, Esther L. Yuh, Amy J. Markowitz, Geoffrey T. Manley, Kristofer E. Bouchard, the TRACK-TBI Investigators
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-16 (2023)
Abstract Traumatic brain injury (TBI) affects how the brain functions in the short and long term. Resulting patient outcomes across physical, cognitive, and psychological domains are complex and often difficult to predict. Major challenges to develop
Externí odkaz:
https://doaj.org/article/75b5b33a7a9c4decb1237d41001a7084
Autor:
E. A. Huerta, Ben Blaiszik, L. Catherine Brinson, Kristofer E. Bouchard, Daniel Diaz, Caterina Doglioni, Javier M. Duarte, Murali Emani, Ian Foster, Geoffrey Fox, Philip Harris, Lukas Heinrich, Shantenu Jha, Daniel S. Katz, Volodymyr Kindratenko, Christine R. Kirkpatrick, Kati Lassila-Perini, Ravi K. Madduri, Mark S. Neubauer, Fotis E. Psomopoulos, Avik Roy, Oliver Rübel, Zhizhen Zhao, Ruike Zhu
Publikováno v:
Scientific Data, Vol 10, Iss 1, Pp 1-10 (2023)
A foundational set of findable, accessible, interoperable, and reusable (FAIR) principles were proposed in 2016 as prerequisites for proper data management and stewardship, with the goal of enabling the reusability of scholarly data. The principles w
Externí odkaz:
https://doaj.org/article/e815e307fdb8458fa4bef94640bad47f
Autor:
Benjamin Cole, Dominique Bergmann, Crysten E. Blaby-Haas, Ian K. Blaby, Kristofer E. Bouchard, Siobhan M. Brady, Doina Ciobanu, Devin Coleman-Derr, Samuel Leiboff, Jenny C. Mortimer, Tatsuya Nobori, Seung Y. Rhee, Jeremy Schmutz, Blake A. Simmons, Anup K. Singh, Neelima Sinha, John P. Vogel, Ronan C. O’Malley, Axel Visel, Diane E. Dickel
Publikováno v:
Communications Biology, Vol 4, Iss 1, Pp 1-12 (2021)
In this Perspective, Diane Dickel and colleagues review recent progress and opportunities in applying single-cell sequencing and microfluidics methods to plants. The authors highlight the need for new tools developed with plants in mind, and advocate
Externí odkaz:
https://doaj.org/article/a556a9b4eca049a9b923bb2bad139804
Publikováno v:
Biomolecules, Vol 13, Iss 4, p 585 (2023)
Metagenomics is a technique for genome-wide profiling of microbiomes; this technique generates billions of DNA sequences called reads. Given the multiplication of metagenomic projects, computational tools are necessary to enable the efficient and acc
Externí odkaz:
https://doaj.org/article/6f02c2d5ed674f6ea1ea63577301788b
Autor:
Oliver Rübel, Andrew Tritt, Ryan Ly, Benjamin K Dichter, Satrajit Ghosh, Lawrence Niu, Pamela Baker, Ivan Soltesz, Lydia Ng, Karel Svoboda, Loren Frank, Kristofer E Bouchard
Publikováno v:
eLife, Vol 11 (2022)
The neurophysiology of cells and tissues are monitored electrophysiologically and optically in diverse experiments and species, ranging from flies to humans. Understanding the brain requires integration of data across this diversity, and thus these d
Externí odkaz:
https://doaj.org/article/8ccc1bad882a41749568d200faaa782d
Autor:
Linus Manubens-Gil, Zhi Zhou, Hanbo Chen, Arvind Ramanathan, Xiaoxiao Liu, Yufeng Liu, Alessandro Bria, Todd Gillette, Zongcai Ruan, Jian Yang, Miroslav Radojević, Ting Zhao, Li Cheng, Lei Qu, Siqi Liu, Kristofer E. Bouchard, Lin Gu, Weidong Cai, Shuiwang Ji, Badrinath Roysam, Ching-Wei Wang, Hongchuan Yu, Amos Sironi, Daniel Maxim Iascone, Jie Zhou, Erhan Bas, Eduardo Conde-Sousa, Paulo Aguiar, Xiang Li, Yujie Li, Sumit Nanda, Yuan Wang, Leila Muresan, Pascal Fua, Bing Ye, Hai-yan He, Jochen F. Staiger, Manuel Peter, Daniel N. Cox, Michel Simonneau, Marcel Oberlaender, Gregory Jefferis, Kei Ito, Paloma Gonzalez-Bellido, Jinhyun Kim, Edwin Rubel, Hollis T. Cline, Hongkui Zeng, Aljoscha Nern, Ann-Shyn Chiang, Jianhua Yao, Jane Roskams, Rick Livesey, Janine Stevens, Tianming Liu, Chinh Dang, Yike Guo, Ning Zhong, Georgia Tourassi, Sean Hill, Michael Hawrylycz, Christof Koch, Erik Meijering, Giorgio A. Ascoli, Hanchuan Peng
Publikováno v:
Nature Methods
BigNeuron is an open community bench-testing platform with the goal of setting open standards for accurate and fast automatic neuron tracing. We gathered a diverse set of image volumes across several species that is representative of the data obtaine
Songs of the Bengalese finch consist of variable sequences of syllables. The sequences follow probabilistic rules, and can be statistically described by partially observable Markov models (POMMs), which consist of states and probabilistic transitions
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::10d8d303d684b1fbfcf705bff85c76ff
https://doi.org/10.1101/2022.11.15.516592
https://doi.org/10.1101/2022.11.15.516592
Autor:
Jesse A. Livezey, Ahyeon Hwang, Kseniya Usovich, Maximilian E. Dougherty, Edward F. Chang, Kristofer E. Bouchard
A common challenge in neuroscience is how to decompose noisy, multi-source signals measured in experiments into biophysically interpretable components. Analysis of cortical surface electrical potentials (CSEPs) measured using electrocorticography arr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5a1296877a1e685eb853bfe207499854
https://doi.org/10.1101/2022.07.22.501176
https://doi.org/10.1101/2022.07.22.501176
Autor:
Linus Manubens-Gil, Zhi Zhou, Hanbo Chen, Arvind Ramanathan, Xiaoxiao Liu, Yufeng Liu, Alessandro Bria, Todd Gillette, Zongcai Ruan, Jian Yang, Miroslav Radojević, Ting Zhao, Li Cheng, Lei Qu, Siqi Liu, Kristofer E. Bouchard, Lin Gu, Weidong Cai, Shuiwang Ji, Badrinath Roysam, Ching-Wei Wang, Hongchuan Yu, Amos Sironi, Daniel Maxim Iascone, Jie Zhou, Erhan Bas, Eduardo Conde-Sousa, Paulo Aguiar, Xiang Li, Yujie Li, Sumit Nanda, Yuan Wang, Leila Muresan, Pascal Fua, Bing Ye, Hai-yan He, Jochen F. Staiger, Manuel Peter, Daniel N. Cox, Michel Simonneau, Marcel Oberlaender, Gregory Jefferis, Kei Ito, Paloma Gonzalez-Bellido, Jinhyun Kim, Edwin Rubel, Hollis T. Cline, Hongkui Zeng, Aljoscha Nern, Ann-Shyn Chiang, Jianhua Yao, Jane Roskams, Rick Livesey, Janine Stevens, Tianming Liu, Chinh Dang, Yike Guo, Ning Zhong, Georgia Tourassi, Sean Hill, Michael Hawrylycz, Christof Koch, Erik Meijering, Giorgio A. Ascoli, Hanchuan Peng
Publikováno v:
bioRxiv : the preprint server for biology
BigNeuron is an open community bench-testing platform combining the expertise of neuroscientists and computer scientists toward the goal of setting open standards for accurate and fast automatic neuron reconstruction. The project gathered a diverse s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1367fb6a74afa93d20031e38a63796b8
https://doi.org/10.1101/2022.05.10.491406
https://doi.org/10.1101/2022.05.10.491406