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Louis Gagnon

Showing results (31-40 of 37) with videos related to

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Radiology. Artificial Intelligence|August 21, 2024
Deep Learning Segmentation of Infiltrative and Enhancing Cellular Tumor at Pre- and Posttreatment Multishell Diffusion MRI of GlioblastomaLouis Gagnon, Diviya Gupta, George Mastorakos, et al.
Neuro-Oncology Advances|January 7, 2026
Comparing the performance of dynamic susceptibility contrast and arterial spin labeling for detecting residual and recurrent glioblastoma with deep learning and multishell diffusion MRILouis Gagnon, Diviya Gupta, George Mastorakos, et al.
Scientific Reports|April 14, 2022
Deep learning of chest X-rays can predict mechanical ventilation outcome in ICU-admitted COVID-19 patientsDaniel Gourdeau, Olivier Potvin, Jason Henry Biem, et al.
Scientific Data|January 6, 2026
The University of California San Diego Post-Treatment Glioblastoma (UCSD-PTGBM) annotated multimodal MRI DatasetLouis Gagnon, Diviya Gupta, Uyen Nguyen, et al.
The Journal of Neuroscience : the Official Journal of the Society for Neuroscience|February 27, 2015
Quantifying the microvascular origin of BOLD-fMRI from first principles with two-photon microscopy and an oxygen-sensitive nanoprobeLouis Gagnon, Sava Sakadžić, Frédéric Lesage, et al.
Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences|August 31, 2016
The roadmap for estimation of cell-type-specific neuronal activity from non-invasive measurementsHana Uhlirova, Kıvılcım Kılıç, Peifang Tian, et al.
Scientific Data|January 27, 2026
The 2024 Brain Tumor Segmentation Challenge Meningioma Radiotherapy (BraTS-MEN-RT) datasetDominic LaBella, Katherine Schumacher, Michael Mix, et al.
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Showing results (31-40 of 37) with videos related to

Sort By:
Pageof 4
You have reached the last page of results.This site can display upto 37 results.
Radiology. Artificial Intelligence|August 21, 2024
Deep Learning Segmentation of Infiltrative and Enhancing Cellular Tumor at Pre- and Posttreatment Multishell Diffusion MRI of GlioblastomaLouis Gagnon, Diviya Gupta, George Mastorakos, et al.
Neuro-Oncology Advances|January 7, 2026
Comparing the performance of dynamic susceptibility contrast and arterial spin labeling for detecting residual and recurrent glioblastoma with deep learning and multishell diffusion MRILouis Gagnon, Diviya Gupta, George Mastorakos, et al.
Scientific Reports|April 14, 2022
Deep learning of chest X-rays can predict mechanical ventilation outcome in ICU-admitted COVID-19 patientsDaniel Gourdeau, Olivier Potvin, Jason Henry Biem, et al.
Scientific Data|January 6, 2026
The University of California San Diego Post-Treatment Glioblastoma (UCSD-PTGBM) annotated multimodal MRI DatasetLouis Gagnon, Diviya Gupta, Uyen Nguyen, et al.
The Journal of Neuroscience : the Official Journal of the Society for Neuroscience|February 27, 2015
Quantifying the microvascular origin of BOLD-fMRI from first principles with two-photon microscopy and an oxygen-sensitive nanoprobeLouis Gagnon, Sava Sakadžić, Frédéric Lesage, et al.
Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences|August 31, 2016
The roadmap for estimation of cell-type-specific neuronal activity from non-invasive measurementsHana Uhlirova, Kıvılcım Kılıç, Peifang Tian, et al.
Scientific Data|January 27, 2026
The 2024 Brain Tumor Segmentation Challenge Meningioma Radiotherapy (BraTS-MEN-RT) datasetDominic LaBella, Katherine Schumacher, Michael Mix, et al.
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