The challenge of mapping the human connectome based on diffusion tractography

Autor: Klaus H. Maier-Hein, Peter F. Neher, Jean-Christophe Houde, Marc-Alexandre Côté, Eleftherios Garyfallidis, Jidan Zhong, Maxime Chamberland, Fang-Cheng Yeh, Ying-Chia Lin, Qing Ji, Wilburn E. Reddick, John O. Glass, David Qixiang Chen, Yuanjing Feng, Chengfeng Gao, Ye Wu, Jieyan Ma, Renjie He, Qiang Li, Carl-Fredrik Westin, Samuel Deslauriers-Gauthier, J. Omar Ocegueda González, Michael Paquette, Samuel St-Jean, Gabriel Girard, François Rheault, Jasmeen Sidhu, Chantal M. W. Tax, Fenghua Guo, Hamed Y. Mesri, Szabolcs Dávid, Martijn Froeling, Anneriet M. Heemskerk, Alexander Leemans, Arnaud Boré, Basile Pinsard, Christophe Bedetti, Matthieu Desrosiers, Simona Brambati, Julien Doyon, Alessia Sarica, Roberta Vasta, Antonio Cerasa, Aldo Quattrone, Jason Yeatman, Ali R. Khan, Wes Hodges, Simon Alexander, David Romascano, Muhamed Barakovic, Anna Auría, Oscar Esteban, Alia Lemkaddem, Jean-Philippe Thiran, H. Ertan Cetingul, Benjamin L. Odry, Boris Mailhe, Mariappan S. Nadar, Fabrizio Pizzagalli, Gautam Prasad, Julio E. Villalon-Reina, Justin Galvis, Paul M. Thompson, Francisco De Santiago Requejo, Pedro Luque Laguna, Luis Miguel Lacerda, Rachel Barrett, Flavio Dell’Acqua, Marco Catani, Laurent Petit, Emmanuel Caruyer, Alessandro Daducci, Tim B. Dyrby, Tim Holland-Letz, Claus C. Hilgetag, Bram Stieltjes, Maxime Descoteaux

Publikováno v: Nature Communications, Vol 8, Iss 1, Pp 1-13 (2017)

Though tractography is widely used, it has not been systematically validated. Here, authors report results from 20 groups showing that many tractography algorithms produce both valid and invalid bundles.

Externí odkaz: https://doaj.org/article/67c5930443f649148e606525891370e8

Connectivity and tissue microstructural alterations in right and left temporal lobe epilepsy revealed by diffusion spectrum imaging

Autor: Alia Lemkaddem, Alessandro Daducci, Nicolas Kunz, François Lazeyras, Margitta Seeck, Jean-Philippe Thiran, Serge Vulliémoz

Publikováno v: NeuroImage: Clinical, Vol 5, Iss C, Pp 349-358 (2014)

Focal epilepsy is increasingly recognized as the result of an altered brain network, both on the structural and functional levels and the characterization of these widespread brain alterations is crucial for our understanding of the clinical manifest

Externí odkaz: https://doaj.org/article/8f8dd5859def4681971b9c9c765a98a0

Smartphone based blood pressure measurement: accuracy of the OptiBP mobile application according to the AAMI/ESH/ISO universal validation protocol

Autor: Guillaume Bonnier, Virginie Durgnat, Jean-François Knebel, Gregory Hofmann, Arlene Ghajarzadeh-Wurzner, Jean Degott, Mathieu Lemay, Burnier Michel, Urvan Christen, Patrick Schoettker, Martin Proença, Alia Lemkaddem, Grégoire Wuerzner

Publikováno v: Blood Pressure Monitoring
Blood pressure monitoring, vol. 26, no. 6, pp. 441-448

Objective The aim of this study was to assess the accuracy of the OptiBP mobile application based on an optical signal recorded by placing the patient's fingertip on a smartphone's camera to estimate blood pressure (BP). Measurements were carried out

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::12ac682435cb936a9dd3407a353b65c7
http://europepmc.org/articles/PMC8568326

Machine Learning Approaches For Improved Continuous, Non-occlusive Arterial Pressure Monitoring Using Photoplethysmography

Autor: Martin Proença, P. Renevey, Patrick Schoettker, Guillaume Bonnier, Mathieu Lemay, Clementine Aguet, Joao Jorge, Alia Lemkaddem, Jérôme Van Zaen

Publikováno v: EMBC

Arterial pressure (AP) is a crucial biomarker for cardiovascular disease prevention and management. Photoplethysmography (PPG) could provide a novel, paradigm-shifting approach for continuous, non-obtrusive AP monitoring, comfortably integrated in we

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7bab63430902b1979a0ee0f43fd949ce
https://doi.org/10.1109/embc44109.2020.9176512

An Assessment of Algorithms to Estimate Respiratory Rate from the Remote Photoplethysmogram

Autor: Duncan Luguern, Keisuke Nakamura, Yannick Benezeth, Alia Lemkaddem, Fabian Braun, Randy Gomez, L. Andrea Dunbar, Julien Dubois, Virginie Moser, Simon Perche

Publikováno v: IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), Jun 2020, Seattle, United States. pp.1232-1241, ⟨10.1109/CVPRW50498.2020.00160⟩
CVPR Workshops

The respiratory rate is important information in the healthcare environment. Consequently, research is done to develop a device that could measure the respiratory rate continuously with non-contact devices. Various methods were tried, such as radio-b

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::18f063e4d608a44b14e1d5d513e14117
https://hal-univ-bourgogne.archives-ouvertes.fr/hal-03122629