Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Jakub R. Kaczmarzyk"'
Autor:
Jakub R. Kaczmarzyk, Alan O’Callaghan, Fiona Inglis, Swarad Gat, Tahsin Kurc, Rajarsi Gupta, Erich Bremer, Peter Bankhead, Joel H. Saltz
Publikováno v:
npj Precision Oncology, Vol 8, Iss 1, Pp 1-5 (2024)
Abstract Digital pathology has seen a proliferation of deep learning models in recent years, but many models are not readily reusable. To address this challenge, we developed WSInfer: an open-source software ecosystem designed to streamline the shari
Externí odkaz:
https://doaj.org/article/b7fa4472c6fb4be3a533684d16da2307
Autor:
Alessandro Boaro, Jakub R. Kaczmarzyk, Vasileios K. Kavouridis, Maya Harary, Marco Mammi, Hassan Dawood, Alice Shea, Elise Y. Cho, Parikshit Juvekar, Thomas Noh, Aakanksha Rana, Satrajit Ghosh, Omar Arnaout
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-9 (2022)
Abstract Accurate brain meningioma segmentation and volumetric assessment are critical for serial patient follow-up, surgical planning and monitoring response to treatment. Current gold standard of manual labeling is a time-consuming process, subject
Externí odkaz:
https://doaj.org/article/5272bbee667f4c7fbef6228cf8647801
Autor:
Malia McAvoy, Paola Calvachi Prieto, Jakub R. Kaczmarzyk, Iván Sánchez Fernández, Jack McNulty, Timothy Smith, Kun-Hsing Yu, William B. Gormley, Omar Arnaout
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-7 (2021)
Abstract A subset of primary central nervous system lymphomas (PCNSL) are difficult to distinguish from glioblastoma multiforme (GBM) on magnetic resonance imaging (MRI). We developed a convolutional neural network (CNN) to distinguish these tumors o
Externí odkaz:
https://doaj.org/article/da2c5c71d6d94a5cb919d989bc06e0db
Autor:
Patrick McClure, Nao Rho, John A. Lee, Jakub R. Kaczmarzyk, Charles Y. Zheng, Satrajit S. Ghosh, Dylan M. Nielson, Adam G. Thomas, Peter Bandettini, Francisco Pereira
Publikováno v:
Frontiers in Neuroinformatics, Vol 13 (2019)
In this paper, we describe a Bayesian deep neural network (DNN) for predicting FreeSurfer segmentations of structural MRI volumes, in minutes rather than hours. The network was trained and evaluated on a large dataset (n = 11,480), obtained by combin
Externí odkaz:
https://doaj.org/article/29e5883782744dd692e3551264dfbd88
Autor:
Angela I. Renton, Thanh Thuy Dao, David F. Abbott, Toluwani J Amos, Saskia Bollmann, Andy Botting, Megan E. J. Campbell, Jeryn Chang, Oren Civier, Thomas G. Close, Korbinian Eckstein, Gary F. Egan, Stefanie Evas, Guillaume Flandin, Kelly G. Garner, Marta I. Garrido, Satrajit S Ghosh, Martin Grignard, Anthony J. Hannan, Renzo Huber, Matthew E Hughes, Tom Johnstone, Jakub R. Kaczmarzyk, Lars Kasper, Levin Kuhlmann, Kexin Lou, Paris Lyons, Yorguin-Jose Mantilla-Ramos, Jason B. Mattingley, Jo Morris, Akshaiy Narayanan, Franco Pestilli, Aina Puce, Fernanda L. Ribeiro, Nigel C. Rogasch, Chris Rorden, Mark Schira, Thomas B. Shaw, Benjamin M Slade, Gershon Spitz, Ashley Stewart, Ryan P. Sullivan, David J. White, Xincheng Ye, Judy D. Zhu, Aswin Narayanan, Steffen Bollmann
Neuroimaging data analysis often requires purpose-built software, which can be challenging to install and may produce different results across computing environments. Beyond being a roadblock to neuroscientists, these issues of accessibility and port
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::146c0336736eb2675bfbce86f447d7b0
https://doi.org/10.1101/2022.12.23.521691
https://doi.org/10.1101/2022.12.23.521691
Publikováno v:
PLoS ONE, Vol 13, Iss 10, p e0206250 (2018)
Digital learning is becoming the most commonly used portal for workplace learning, but its effectiveness is not clearly understood. We studied 99 employees on-site in a large company as they watched an already used and required training video. Employ
Externí odkaz:
https://doaj.org/article/3da91400776f465388e2415c2b3470d0
Autor:
Jakub R. Kaczmarzyk, Rajarsi Gupta, Tahsin M. Kurc, Shahira Abousamra, Joel H. Saltz, Peter K. Koo
Publikováno v:
Computer Methods and Programs in Biomedicine. :107631
Autor:
Patrick McClure, Nao Rho, John A. Lee, Jakub R. Kaczmarzyk, Charles Y. Zheng, Satrajit S. Ghosh, Dylan M. Nielson, Adam G. Thomas, Peter Bandettini, Francisco Pereira
Publikováno v:
Frontiers in Neuroinformatics, Vol 13 (2019)
Frontiers in Neuroinformatics
Frontiers in Neuroinformatics
In this paper, we describe a Bayesian deep neural network (DNN) for predicting FreeSurfer segmentations of structural MRI volumes, in minutes rather than hours. The network was trained and evaluated on a large dataset (n = 11,480), obtained by combin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7b0f57c078eecfb5d5f46143c7b8abfe
Autor:
Alexander F, Hoffman, Matthew D, Lycas, Jakub R, Kaczmarzyk, Charles E, Spivak, Michael H, Baumann, Carl R, Lupica
Publikováno v:
Addiction biology. 22(2)
There has been a marked increase in the availability of synthetic drugs designed to mimic the effects of marijuana. These cannabimimetic drugs, sold illicitly as “Spice” and related products, are associated with serious medical complications in s
Autor:
Xavier Guell, Mathias Goncalves, Jakub R Kaczmarzyk, John D E Gabrieli, Jeremy D Schmahmann, Satrajit S Ghosh
Publikováno v:
PLoS ONE, Vol 14, Iss 1, p e0210028 (2019)
Gradient-based approaches to brain function have recently unmasked fundamental properties of brain organization. Diffusion map embedding analysis of resting-state fMRI data revealed a primary-to-transmodal axis of cerebral cortical macroscale functio
Externí odkaz:
https://doaj.org/article/ab8cb83d296e4926842e713e04a78ede