Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Shreyas, Fadnavis"'
Publikováno v:
Communications Medicine, Vol 4, Iss 1, Pp 1-12 (2024)
Abstract Background Brain extraction is a computational necessity for researchers using brain imaging data. However, the complex structure of the interfaces between the brain, meninges and human skull have not allowed a highly robust solution to emer
Externí odkaz:
https://doaj.org/article/29cf9772ed43402e8356225280ced95f
Autor:
Matias Aiskovich, Eduardo Castro, Jenna M. Reinen, Shreyas Fadnavis, Anushree Mehta, Hongyang Li, Amit Dhurandhar, Guillermo A. Cecchi, Pablo Polosecki
Publikováno v:
Frontiers in Radiology, Vol 4 (2024)
Data collection, curation, and cleaning constitute a crucial phase in Machine Learning (ML) projects. In biomedical ML, it is often desirable to leverage multiple datasets to increase sample size and diversity, but this poses unique challenges, which
Externí odkaz:
https://doaj.org/article/7c654a19c0fc43728e928fff94bba491
Autor:
Kurt G. Schilling, Shreyas Fadnavis, Joshua Batson, Mereze Visagie, Anna J.E. Combes, Samantha By, Colin D. McKnight, Francesca Bagnato, Eleftherios Garyfallidis, Bennett A. Landman, Seth A. Smith, Kristin P. O'Grady
Publikováno v:
NeuroImage, Vol 266, Iss , Pp 119826- (2023)
Quantitative diffusion MRI (dMRI) is a promising technique for evaluating the spinal cord in health and disease. However, low signal-to-noise ratio (SNR) can impede interpretation and quantification of these images. The purpose of this study is to ev
Externí odkaz:
https://doaj.org/article/f699cd7d04f54fd482bf0ae092a473cc
Autor:
Shreyas Fadnavis, Stefan Endres, Qiuting Wen, Yu-Chien Wu, Hu Cheng, Serge Koudoro, Swati Rane, Ariel Rokem, Eleftherios Garyfallidis
Publikováno v:
Frontiers in Neuroscience, Vol 15 (2021)
In this work, we shed light on the issue of estimating Intravoxel Incoherent Motion (IVIM) for diffusion and perfusion estimation by characterizing the objective function using simplicial homology tools. We provide a robust solution via topological o
Externí odkaz:
https://doaj.org/article/e94b5b0a1f1c45bea1feed4f5ded0c19
Autor:
Alberto De Luca, Andrada Ianus, Alexander Leemans, Marco Palombo, Noam Shemesh, Hui Zhang, Daniel C. Alexander, Markus Nilsson, Martijn Froeling, Geert-Jan Biessels, Mauro Zucchelli, Matteo Frigo, Enes Albay, Sara Sedlar, Abib Alimi, Samuel Deslauriers-Gauthier, Rachid Deriche, Rutger Fick, Maryam Afzali, Tomasz Pieciak, Fabian Bogusz, Santiago Aja-Fernández, Evren Özarslan, Derek K. Jones, Haoze Chen, Mingwu Jin, Zhijie Zhang, Fengxiang Wang, Vishwesh Nath, Prasanna Parvathaneni, Jan Morez, Jan Sijbers, Ben Jeurissen, Shreyas Fadnavis, Stefan Endres, Ariel Rokem, Eleftherios Garyfallidis, Irina Sanchez, Vesna Prchkovska, Paulo Rodrigues, Bennet A. Landman, Kurt G. Schilling
Publikováno v:
NeuroImage, Vol 240, Iss , Pp 118367- (2021)
Diffusion MRI (dMRI) has become an invaluable tool to assess the microstructural organization of brain tissue. Depending on the specific acquisition settings, the dMRI signal encodes specific properties of the underlying diffusion process. In the las
Externí odkaz:
https://doaj.org/article/167f9fb5f4014e4e905d57c3b59a5b6b
Autor:
Rosella Trò, Monica Roascio, Domenico Tortora, Mariasavina Severino, Andrea Rossi, Eleftherios Garyfallidis, Gabriele Arnulfo, Marco Massimo Fato, Shreyas Fadnavis
Preterm birth still represents a concrete emergency to be managed and addressed globally. Since cerebral white matter injury is the major form of brain impairment in survivors of premature birth, the identification of reliable, non-invasive markers o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::80e356c625b1124e583db4fadb7949ec
https://doi.org/10.1101/2023.01.12.523771
https://doi.org/10.1101/2023.01.12.523771
The anterior cingulate cortex (ACC) is functionally closely related with the insula and the ventral lateral prefrontal cortex (vlPFC). Extensive work on their functional relationships has led to the salience network theory and advanced understanding
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::671184c042017d2964b51326a09805b1
https://doi.org/10.1101/2022.10.28.514260
https://doi.org/10.1101/2022.10.28.514260
Autor:
Valerie J. Sydnor, Eleftherios Garyfallidis, Matthew Cieslak, Raquel E. Gur, Xiaosong He, Scott T. Grafton, John A. Detre, Jason D. Yeatman, David R. Roalf, Theodore D. Satterthwaite, Barry Giesbrecht, Shreyas Fadnavis, Philip A. Cook, Michael P. Milham, Christos Davatzikos, Richard F. Betzel, Anders Perrone, Damien A. Fair, Danielle S. Bassett, Jean M. Vettel, Ariel Rokem, Eric Earl, Geoffrey K. Aguirre, Bart Larsen, Will Foran, Desmond J. Oathes, Azeez Adebimpe, Panagiotis Fotiadis, Ursula A. Tooley, Fang-Cheng Yeh, Thijs Dhollander, Laura M. Cabral, Tinashe M. Tapera, Josiane Bourque, Max B. Kelz, Adam Richie-Halford, Mark A. Elliott, Ruben C. Gur, Beatriz Luna, Adam Pines, Anisha Keshavan, Allyson P. Mackey
Publikováno v:
Nat Methods
Nature methods, vol 18, iss 7
Nature methods, vol 18, iss 7
Diffusion-weighted magnetic resonance imaging (dMRI) is the primary method for noninvasively studying the organization of white matter in the human brain. Here we introduce QSIPrep, an integrative software platform for the processing of diffusion ima
Brain extraction is one of the first steps of pre-processing 3D brain MRI data and a prerequisite for any forthcoming brain imaging analyses. However, it is not a simple segmentation problem due to the complex structure of the brain and human head. A
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2668e69ace5499fda59e966a2ff39e83
http://arxiv.org/abs/2206.02837
http://arxiv.org/abs/2206.02837
Autor:
Shreyas Fadnavis, Brian D. Boyd, David H. Zald, Owen A. Williams, Andrea T. Shafer, Qi Yang, Eleftherios Garyfallidis, Ilwoo Lyu, Maxime Descoteaux, Bramsh Qamar Chandio, Adam W. Anderson, Bennett A. Landman, Colin B. Hansen, François Rheault, Laurie E. Cutting, Cailey I. Kerley, Warren D. Taylor, Susan M. Resnick, Kurt G. Schilling
Publikováno v:
Neuroinformatics
Brain atlases have proven to be valuable neuroscience tools for localizing regions of interest and performing statistical inferences on populations. Although many human brain atlases exist, most do not contain information about white matter structure