Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Juliana Maiostre"'
Autor:
Seyed-Ahmad Ahmadi, Kai Bötzel, Johannes Levin, Juliana Maiostre, Tassilo Klein, Wolfgang Wein, Verena Rozanski, Olaf Dietrich, Birgit Ertl-Wagner, Nassir Navab, Annika Plate
Publikováno v:
NeuroImage: Clinical, Vol 26, Iss , Pp - (2020)
Background: Transcranial B-mode sonography (TCS) can detect hyperechogenic speckles in the area of the substantia nigra (SN) in Parkinson's disease (PD). These speckles correlate with iron accumulation in the SN tissue, but an exact volumetric locali
Externí odkaz:
https://doaj.org/article/ec84c9938eb9460297c2fa080ddb1c36
Publikováno v:
Journal of the Neurological Sciences. 397:16-21
Introduction TCS is a well-established technique for diagnosis of Parkinson's disease (PD). Volumetric 3D-TCS is a promising complementary approach for objective acquisition and analysis, in particular for less experienced sonographers. This study pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cef0f96f725d2d2d8a00b9a995342eaa
https://doi.org/10.1016/j.jns.2018.12.001
https://doi.org/10.1016/j.jns.2018.12.001
Autor:
Olaf Dietrich, Tassilo Klein, Verena E. Rozanski, Wolfgang Wein, Juliana Maiostre, Nassir Navab, Johannes Levin, Annika Plate, Seyed-Ahmad Ahmadi, Kai Bötzel, Birgit Ertl-Wagner
Publikováno v:
NeuroImage : Clinical
NeuroImage: Clinical, Vol 26, Iss, Pp-(2020)
NeuroImage: Clinical, Vol 26, Iss, Pp-(2020)
Highlights • Volumetric 3D analysis of hyper-echogenicities from transcranial ultrasound (TCS). • First multi-modal analysis of TCS and QSM-MRI in Parkinson's disease. • Computations of TCS-MRI registration and a novel multi-modal anatomical te
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::51bf9af3f9dc8121eb6c06a6e6b37077
http://europepmc.org/articles/PMC7013333
http://europepmc.org/articles/PMC7013333
Autor:
Verena E. Rozanski, Birgit Ertl-Wagner, Fausto Milletari, Kai Bötzel, Johannes Levin, Annika Plate, Juliana Maiostre, Seyed-Ahmad Ahmadi, Olaf Dietrich, Christine Kroll, Nassir Navab
Publikováno v:
Computer Vision and Image Understanding. 164:92-102
In this work we propose a novel approach to perform segmentation by leveraging the abstraction capabilities of convolutional neural networks (CNNs). Our method is based on Hough voting, a strategy that allows for fully automatic localisation and segm
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::625ed92cc5b3468d6383b50bc1122689
https://doi.org/10.1016/j.cviu.2017.04.002
https://doi.org/10.1016/j.cviu.2017.04.002
Autor:
Olaf Dietrich, Kai Bötzel, Seyed-Ahmad Ahmadi, Juliana Maiostre, Armin Giese, Birgit Ertl-Wagner, Johannes Levin, Annika Plate, Verena E. Rozanski
Publikováno v:
Basal Ganglia. 8:7-8
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c2b8ad208a113acd4705b0cb13c3deda
https://doi.org/10.1016/j.baga.2017.02.022
https://doi.org/10.1016/j.baga.2017.02.022