Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Isabell Kiral"'
Autor:
Subhrajit Roy, Isabell Kiral, Mahtab Mirmomeni, Todd Mummert, Alan Braz, Jason Tsay, Jianbin Tang, Umar Asif, Thomas Schaffter, Mehmet Eren Ahsen, Toshiya Iwamori, Hiroki Yanagisawa, Hasan Poonawala, Piyush Madan, Yong Qin, Joseph Picone, Iyad Obeid, Bruno De Assis Marques, Stefan Maetschke, Rania Khalaf, Michal Rosen-Zvi, Gustavo Stolovitzky, Stefan Harrer
Publikováno v:
EBioMedicine, Vol 66, Iss , Pp 103275- (2021)
Background: Assistive automatic seizure detection can empower human annotators to shorten patient monitoring data review times. We present a proof-of-concept for a seizure detection system that is sensitive, automated, patient-specific, and tunable t
Externí odkaz:
https://doaj.org/article/a63bf3e7593244738d97a0a1e3a48f62
Autor:
Isabell Kiral-Kornek, Subhrajit Roy, Ewan Nurse, Benjamin Mashford, Philippa Karoly, Thomas Carroll, Daniel Payne, Susmita Saha, Steven Baldassano, Terence O'Brien, David Grayden, Mark Cook, Dean Freestone, Stefan Harrer
Publikováno v:
EBioMedicine, Vol 27, Iss C, Pp 103-111 (2018)
Background: Seizure prediction can increase independence and allow preventative treatment for patients with epilepsy. We present a proof-of-concept for a seizure prediction system that is accurate, fully automated, patient-specific, and tunable to an
Externí odkaz:
https://doaj.org/article/ed3512f67dce4eed88eae925de3cb618
Autor:
Elaheh Shafieibavani, Benjamin Goudey, Isabell Kiral, Peter Zhong, Antonio Jimeno-Yepes, Annalisa Swan, Manoj Gambhir, Andreas Buechner, Eugen Kludt, Robert H. Eikelboom, Cathy Sucher, Rene H. Gifford, Riaan Rottier, Kerrie Plant, Hamideh Anjomshoa
Publikováno v:
Trends in Hearing
While cochlear implants have helped hundreds of thousands of individuals, it remains difficult to predict the extent to which an individual’s hearing will benefit from implantation. Several publications indicate that machine learning may improve pr
Autor:
Umar Asif, Thomas Schaffter, Rania Khalaf, Joseph Picone, Alan Braz, Mahtab Mirmomeni, Jianbin Tang, Toshiya Iwamori, Bruno De Assis Marques, Michal Rosen-Zvi, Subhrajit Roy, Stefan Harrer, Hasan Poonawala, Yong Qin, Iyad Obeid, Piyush Madan, Mehmet Eren Ahsen, Jason Tsay, Stefan Maetschke, Isabell Kiral, Hiroki Yanagisawa, Todd W. Mummert, Gustavo Stolovitzky
Publikováno v:
EBioMedicine, Vol 66, Iss, Pp 103275-(2021)
EBioMedicine
EBioMedicine
Background Assistive automatic seizure detection can empower human annotators to shorten patient monitoring data review times. We present a proof-of-concept for a seizure detection system that is sensitive, automated, patient-specific, and tunable to
SummaryThe UK Biobank (UKB) has quickly become a critical resource for researchers conducting a wide-range of biomedical studies (Bycroft et al., 2018). The database is constructed from heterogeneous data sources, employs several different encoding s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a2461946b902b2f1f6d5e80eb8e95402
https://doi.org/10.1101/2020.07.12.199810
https://doi.org/10.1101/2020.07.12.199810
Autor:
Steven N. Baldassano, Dean R. Freestone, Terence J. O'Brien, David B. Grayden, Susmita Saha, Ewan S. Nurse, Thomas L. Carroll, Mark J. Cook, Daniel E. Payne, Benjamin S. Mashford, Philippa J. Karoly, Isabell Kiral-Kornek, Subhrajit Roy, Stefan Harrer
Publikováno v:
EBioMedicine
EBioMedicine, Vol 27, Iss C, Pp 103-111 (2018)
EBioMedicine, Vol 27, Iss C, Pp 103-111 (2018)
Background Seizure prediction can increase independence and allow preventative treatment for patients with epilepsy. We present a proof-of-concept for a seizure prediction system that is accurate, fully automated, patient-specific, and tunable to an
Autor:
Allison Irvin, Isabell Kiral
Publikováno v:
Middleware Industry
Distributed ledger technology offers numerous desirable attributes to applications in the enterprise context. However, with distributed data and decentralized computation on a shared platform, privacy and confidentiality challenges arise. Any design
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c75608d1e904af131b54a9c2bff3a264
Autor:
Glenda M. Halliday, Anne Castles, Ian B. Hickie, Olivia Carter, Matthew C. Kiernan, Tina Soulis, Timothy J. Silk, Jason B. Mattingley, Jonathan Tapson, Andrew P. Bradley, Geoff Mackellar, Judith Gullifer, Greg de Zubicaray, Alan M. Brichta, John Parker, David Shum, Zoltán Sarnyai, Chris Hatherly, Patricia T. Michie, Wayne Hall, Pankaj Sah, Alice Mason, Neil Levy, John M. Bekkers, Jonathan M. Payne, André van Schaik, Laura A. Poole-Warren, Sarah Cohen-Woods, Mark Slee, Bryce Vissel, Sharath Sriram, Stefan Harrer, Deborah Apthorp, Linda J. Richards, Kim Cornish, Bernadette M. Fitzgibbon, Trevor J. Kilpatrick, Adrian Carter, Cynthia Forlini, Jeanette Kennett, Khaled Chakli, Peter G. Enticott, Anthony J. Hannan, Michael Berk, Michael Breakspear, James A. Bourne, Alan R. Harvey, Peter R. Schofield, Nigel H. Lovell, Ashleigh E. Smith, Julio Licinio, David R. Badcock, Sarah E. Medland, Isabell Kiral-Kornek, Mayuresh S. Korgaonkar, Allison Waters, Richard J. Leventer, Mostafa Rahimi Azghadi, Andrew J. Lawrence, Bernard W. Balleine, Simon J. Conn, Lyn R. Griffiths, Jess Nithianantharajah, Gary F. Egan, Alex Fornito, Jennifer L. Cornish, Greg J. Stuart, Lynne Malcolm, Matthew B. Thompson, Nicole A. Vincent, Olga Shimoni
Neuroethics is central to the Australian Brain Initiative’s aim to sustain a thriving and responsible neurotechnology industry. Diverse and inclusive community and stakeholder engagement and a trans-disciplinary approach to neuroethics will be key
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::20f08ee2fcfec49907c283ba8d2258f7
https://hdl.handle.net/11541.2/138739
https://hdl.handle.net/11541.2/138739
Publikováno v:
Artificial Intelligence in Medicine ISBN: 9783030216412
AIME
AIME
Brain-related disorders such as epilepsy can be diagnosed by analyzing electroencephalograms (EEG). However, manual analysis of EEG data requires highly trained clinicians, and is a procedure that is known to have relatively low inter-rater agreement
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::85872b62aecaeacd6f0d3fb6558fb52e
https://doi.org/10.1007/978-3-030-21642-9_8
https://doi.org/10.1007/978-3-030-21642-9_8
Autor:
Benjamin Goudey, Andreas Büchner, Kerrie Plant, Annalisa Swan, Robert H. Eikelboom, Antonio Jimeno-Yepes, René H. Gifford, Manoj Gambhir, Hamideh Anjomshoa, Eugen Kludt, Riaan Rottier, Cathy Sucher, Isabell Kiral
Publikováno v:
Trends in Hearing
While the majority of cochlear implant recipients benefit from the device, it remains difficult to estimate the degree of benefit for a specific patient prior to implantation. Using data from 2,735 cochlear-implant recipients from across three clinic