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Preparing for a second attack

less than 1 minute read

Published:

𝗢𝘂𝗿 𝗵𝘆𝗽𝗼𝘁𝗵𝗲𝘀𝗶𝘀: the brain becomes more resilient to a second stroke after a first attack

portfolio

publications

Three-Dimensional Surface Reconstruction of the Human Cochlear Nucleus: Implications for Auditory Brain Stem Implant Design

Published in Journal of Neurological Surgery. Part B, Skull Base, 2020

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Recommended citation: Osama Tarabichi, Vivek Kanumuri, Julian Klug, Nicolas Vachicouras, Maria Duarte, Lorenz Epprecht, Elliott Kozin, Katherine Reinshagen, Stéphanie Lacour, M Brown, Daniel Lee, "Three-Dimensional Surface Reconstruction of the Human Cochlear Nucleus: Implications for Auditory Brain Stem Implant Design." Journal of Neurological Surgery. Part B, Skull Base, 2020. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7082162/

Bayesian Skip Net: Building on Prior Information for the Prediction and Segmentation of Stroke Lesions

Published in In the proceedings of Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021

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Recommended citation: Julian Klug, Guillaume Leclerc, Elisabeth Dirren, Maria Preti, Dimitri Van, Emmanuel Carrera, "Bayesian Skip Net: Building on Prior Information for the Prediction and Segmentation of Stroke Lesions." In the proceedings of Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021.

Integrating regional perfusion CT information to improve prediction of infarction after stroke

Published in Journal of Cerebral Blood Flow & Metabolism, 2021

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Recommended citation: Julian Klug, Elisabeth Dirren, Maria Preti, Paolo Machi, Andreas Kleinschmidt, Maria Vargas, Dimitri Van, Emmanuel Carrera, "Integrating regional perfusion CT information to improve prediction of infarction after stroke." Journal of Cerebral Blood Flow & Metabolism, 2021. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7922756/

talks

Lombalgie Chronique

Published:

Lombalgie chronique et poussées aigues en médecine de premier recours.

Bayesian Skip Net: Building on Prior Information for the Prediction and Segmentation of Stroke Lesions

Published:

Perfusion CT is widely used in acute ischemic stroke to determine eligibility for acute treatment, by defining an ischemic core and penumbra. In this talk held at the Brain Lesion Workshop at MICCAI 2020, we presented a novel way of building on prior information for the automatic prediction and segmentation of stroke lesions. We reformulate the task to identify differences from a prior segmentation by extending a three-dimensional Attention Gated Unet with a skip connection allowing only an unchanged prior to bypass most of the network. We show that this technique improves results obtained by a baseline Attention Gated Unet on both the Geneva Stroke Dataset and the ISLES 2018 dataset.

teaching

Teaching experience 1

Undergraduate course, University 1, Department, 2014

This is a description of a teaching experience. You can use markdown like any other post.

Teaching experience 2

Workshop, University 1, Department, 2015

This is a description of a teaching experience. You can use markdown like any other post.