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publications

Three-dimensional Surface Reconstruction of the Human Cochlear Nucleus: Implications for the ABI.

Published in Otolaryngology - Head and Neck Surgery, 2019

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Recommended citation: Vivek V. Kanumuri, Osama Tarabichi, Julian Klug, Nicolas Vachicouras, Maria J. Duarte, Elliott D. Kozin, Stephanie P. Lacour, M. Christian Brown, Daniel J. Lee. Three-dimensional Surface Reconstruction of the Human Cochlear Nucleus: Implications for the ABI. Otolaryngology - Head and Neck Surgery, February 2019. https://www.thieme-connect.com/products/ejournals/abstract/10.1055/s-0039-1677863

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

Published in Journal of Cerebral Blood Flow & Metabolism, 2020

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Recommended citation: Klug, J., Dirren, E., Preti, M. G., Machi, P., Kleinschmidt, A., Vargas, M. I., ... Carrera, E. (2020). Integrating regional perfusion CT information to improve prediction of infarction after stroke. Journal of Cerebral Blood Flow & Metabolism. https://journals.sagepub.com/doi/10.1177/0271678X20924549

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

Published in Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries. BrainLes 2020. Lecture Notes in Computer Science., 2021

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Recommended citation: Klug J., Leclerc G., Dirren E., Preti M.G., Van De Ville D., Carrera E. (2021) Bayesian Skip Net: Building on Prior Information for the Prediction and Segmentation of Stroke Lesions. In: Crimi A., Bakas S. (eds) Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries. BrainLes 2020. Lecture Notes in Computer Science, vol 12658. Springer, Cham. https://doi.org/10.1007/978-3-030-72084-1_16

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.