Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Holger Hoefling"'
Autor:
Arne Mueller, Elaine Paterson, Avery McIntosh, Jens Praestgaard, Mary Bylo, Holger Hoefling, McKenzie Wells, David R. Lynch, Christian Rummey, Michelle L. Krishnan, Meredith Schultz, C. J. Malanga
Publikováno v:
Annals of Clinical and Translational Neurology, Vol 8, Iss 9, Pp 1845-1856 (2021)
Abstract Background Friedreich’s ataxia is an inherited, progressive, neurodegenerative disease that typically begins in childhood. Disease severity is commonly assessed with rating scales, such as the modified Friedreich’s Ataxia Rating Scale, w
Externí odkaz:
https://doaj.org/article/4bb3e0bbb3164dd9951988e35f7802ba
Autor:
Matthias Tietsch, Amir Muaremi, Ieuan Clay, Felix Kluge, Holger Hoefling, Martin Ullrich, Arne Küderle, Bjoern M. Eskofier, Arne Müller
Publikováno v:
Digital Biomarkers, Vol 4, Iss 1, Pp 50-58 (2020)
Analyzing human gait with inertial sensors provides valuable insights into a wide range of health impairments, including many musculoskeletal and neurological diseases. A representative and reliable assessment of gait requires continuous monitoring o
Externí odkaz:
https://doaj.org/article/99e86aab403f448cb5c5222e9f9c58e6
Autor:
Alexander M Keppler, Timur Nuritidinow, Arne Mueller, Holger Hoefling, Matthias Schieker, Ieuan Clay, Wolfgang Böcker, Julian Fürmetz
Publikováno v:
PLoS ONE, Vol 14, Iss 8, p e0221732 (2019)
BackgroundMobile accelerometry is a powerful and promising option to capture long-term changes in gait in both clinical and real-world scenarios. Increasingly, gait parameters have demonstrated their value as clinical outcome parameters, but validati
Externí odkaz:
https://doaj.org/article/60a829aea32749a2a0802c5c21447cfe
Autor:
David A. Lynch, Michelle L. Krishnan, Mary Bylo, Arne Mueller, Holger Hoefling, Jens Praestgaard, Elaine Paterson, Christian Rummey, McKenzie Wells, C J Malanga, Avery McIntosh, Meredith Schultz
Publikováno v:
Annals of Clinical and Translational Neurology, Vol 8, Iss 9, Pp 1845-1856 (2021)
Annals of Clinical and Translational Neurology
Annals of Clinical and Translational Neurology
Background Friedreich's ataxia is an inherited, progressive, neurodegenerative disease that typically begins in childhood. Disease severity is commonly assessed with rating scales, such as the modified Friedreich's Ataxia Rating Scale, which are usua
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eab2d3d145341d14db35ce9d140569f7
https://doaj.org/article/4bb3e0bbb3164dd9951988e35f7802ba
https://doaj.org/article/4bb3e0bbb3164dd9951988e35f7802ba
Autor:
Pierre Moulin, Marc Vandemeulebroecke, Stephan Spiegel, Imtiaz Hossain, Valerie Dubost, Christophe A.C. Freyre, Caroline Gubser Keller, Holger Hoefling, Emre Cörek
Publikováno v:
Toxicologic Pathology. 49:798-814
Several deep learning approaches have been proposed to address the challenges in computational pathology by learning structural details in an unbiased way. Transfer learning allows starting from a learned representation of a pretrained model to be di
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7de52791db1181225b038a1686655ffb
https://doi.org/10.1177/0192623320987202
https://doi.org/10.1177/0192623320987202
Autor:
Ieuan Clay, Holger Hoefling, Martin Ullrich, Matthias Tietsch, Amir Muaremi, Bjoern M. Eskofier, Arne Küderle, Felix Kluge, Arne Müller
Publikováno v:
Digital Biomarkers, Vol 4, Iss 1, Pp 50-58 (2020)
Digit Biomark
Digit Biomark
Analyzing human gait with inertial sensors provides valuable insights into a wide range of health impairments, including many musculoskeletal and neurological diseases. A representative and reliable assessment of gait requires continuous monitoring o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eaae04ba5c5c609caa17b711c7c2c972
https://www.karger.com/Article/FullText/511611
https://www.karger.com/Article/FullText/511611
Autor:
Arno Doelemeyer, Thierry Flandre, Vincent Romanet, Alessandro Piaia, Julie Boisclair, Esther Sutter, Kuno Wuersch, Gianluca Santarossa, Holger Hoefling, Tobias Sing, Chandrassegar Saravanan, Pierre Moulin, Oliver C. Turner, Imtiaz Hossain
Publikováno v:
Toxicologic pathology. 49(4)
We introduce HistoNet, a deep neural network trained on normal tissue. On 1690 slides with rat tissue samples from 6 preclinical toxicology studies, tissue regions were outlined and annotated by pathologists into 46 different tissue classes. From the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::81fa38fd4827f974e39e9918e1611c20
https://pubmed.ncbi.nlm.nih.gov/33653171
https://pubmed.ncbi.nlm.nih.gov/33653171
Autor:
Tobias Sing, Arno Doelemeyer, Julie Boisclair, Santarossa G, Oliver C. Turner, Chandrassegar Saravanan, Esther Sutter, Imtiaz Hossain, Pierre Moulin, Alessandro Piaia, Holger Hoefling, Kuno Wuersch, Romanet, Thierry Flandre
Deep learning models have been applied on various tissues in order to recognize malignancies. However, these models focus on relatively narrow tissue context or well-defined pathologies. Here, instead of focusing on pathologies, we introduce models c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fb6cf3ee42cf4cb91979fcee0584ab45
Autor:
Ola Bunte, Ronenn Roubenoff, Julian Fürmetz, Daniel Rooks, Wolfgang Böcker, Jens Praestgaard, Matthias Schieker, Arne Mueller, Lorcan Walsh, Roland M. Huber, Alexander M. Keppler, Amir Muaremi, Ieuan Clay, Sophie Brachat, Holger Hoefling
Publikováno v:
JMIR mHealth and uHealth
JMIR mHealth and uHealth, Vol 7, Iss 11, p e15191 (2019)
JMIR mHealth and uHealth, Vol 7, Iss 11, p e15191 (2019)
Background Digital technologies and advanced analytics have drastically improved our ability to capture and interpret health-relevant data from patients. However, only limited data and results have been published that demonstrate accuracy in target i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b14999017250eed1d1d45921f6817144
http://europepmc.org/articles/PMC6906618
http://europepmc.org/articles/PMC6906618
Autor:
Holger Hoefling, Anthony Rossini
Publikováno v:
Implementing Reproducible Research ISBN: 9781315373461
Implementing Reproducible Research
Implementing Reproducible Research
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b542f90ee457530b3b18dde4e05d26a1
https://doi.org/10.1201/9781315373461-8
https://doi.org/10.1201/9781315373461-8