Zobrazeno 1 - 10 of 12 pro vyhledávání: '"Antanas Montvila"'
1
Akademický článek
Factors affecting the labelling accuracy of brain MRI studies relevant for deep learning abnormality detection
Autor: Matthew Benger, David A. Wood, Sina Kafiabadi, Aisha Al Busaidi, Emily Guilhem, Jeremy Lynch, Matthew Townend, Antanas Montvila, Juveria Siddiqui, Naveen Gadapa, Gareth Barker, Sebastian Ourselin, James H. Cole, Thomas C. Booth
Publikováno v: Frontiers in Radiology, Vol 3 (2023)
Unlocking the vast potential of deep learning-based computer vision classification systems necessitates large data sets for model training. Natural Language Processing (NLP)—involving automation of dataset labelling—represents a potential avenue
Externí odkaz: https://doaj.org/article/def2b449c49f4c6d9c76d5026cafd894
Zobrazit plný text záznamu
2
Akademický článek
Computed tomographic features of the proximal petrous facial nerve canal in recurrent Bell's palsy
Autor: Philip Touska, Cristina Dudau, Janki Patel, Antanas Montvila, Milda Pucetaite, Rupert Obholzer, Irumee Pai, Steve Connor
Publikováno v: Laryngoscope Investigative Otolaryngology, Vol 6, Iss 4, Pp 816-823 (2021)
Abstract Objectives The primary objective was to determine whether the narrowest dimensions of the labyrinthine facial nerve (LFN) canal on the symptomatic side in patients with unilateral recurrent Bell's palsy (BP) differ from those on the contrala
Externí odkaz: https://doaj.org/article/123c5b1f3360420098c3b311afca42f1
Zobrazit plný text záznamu
3
Akademický článek
Accurate brain‐age models for routine clinical MRI examinations
Autor: David A. Wood, Sina Kafiabadi, Ayisha Al Busaidi, Emily Guilhem, Antanas Montvila, Jeremy Lynch, Matthew Townend, Siddharth Agarwal, Asif Mazumder, Gareth J. Barker, Sebastien Ourselin, James H. Cole, Thomas C. Booth
Publikováno v: NeuroImage, Vol 249, Iss , Pp 118871- (2022)
Convolutional neural networks (CNN) can accurately predict chronological age in healthy individuals from structural MRI brain scans. Potentially, these models could be applied during routine clinical examinations to detect deviations from healthy age
Externí odkaz: https://doaj.org/article/e5c6691981594bf19fa6402ce1b62fc9
Zobrazit plný text záznamu
4
ACUTE MESENTERIC ISCHEMIA: CASE REPORT
Autor: Deimantė Bajoriūnaitė, Justinas Balčiūnas, Deividas Vaiciukevičius, Monika Jasinskaitė, Antanas Montvila
Publikováno v: Health Sciences. 32:91-94
Acute mesenteric ischemia (AMI) is a rare cause for hospital admissions of abdominal pain with incidence of less than 0.1% but due to delay in diagnosis results in a high 40% to 80% mortality rate. Small intestine ischemia occurs due to blood supply
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::583a5768825789f54aa2673a98057278
https://doi.org/10.35988/sm-hs.2022.017
Zobrazit plný text záznamu
7
Deep learning models for triaging hospital head MRI examinations
Autor: David A. Wood, Sina Kafiabadi, Ayisha Al Busaidi, Emily Guilhem, Antanas Montvila, Jeremy Lynch, Matthew Townend, Siddharth Agarwal, Asif Mazumder, Gareth J. Barker, Sebastien Ourselin, James H. Cole, Thomas C. Booth
Publikováno v: Wood, D A, Kafiabadi, S, Busaidi, A A, Guilhem, E, Montvila, A, Lynch, J, Townend, M, Agarwal, S, Mazumder, A, Barker, G J, Ourselin, S, Cole, J H & Booth, T C 2022, ' Deep learning models for triaging hospital head MRI examinations ', Medical Image Analysis, vol. 78, 102391, pp. 102391 . https://doi.org/10.1016/j.media.2022.102391
The growing demand for head magnetic resonance imaging (MRI) examinations, along with a global shortage of radiologists, has led to an increase in the time taken to report head MRI scans in recent years. For many neurological conditions, this delay c
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a7a482a5a3d13ede37e5eb1b1e278831
https://kclpure.kcl.ac.uk/ws/files/168796144/1_s2.0_S1361841522000433_main.pdf
Zobrazit plný text záznamu
8
Deep learning to automate the labelling of head MRI datasets for computer vision applications
Autor: Asif Mazumder, James H. Cole, Thomas C. Booth, Jeremy Lynch, Matthew Townend, Sina Kafiabadi, Matthew Benger, Martin Kiik, Juveria Siddiqui, Aisha Al Busaidi, Sebastian Ourselin, Emily Guilhem, Antanas Montvila, David A. Wood, Gareth J. Barker, Naveen Gadapa
Publikováno v: Wood, D A, Kafiabadi, S, Al Busaidi, A, Guilhem, E L, Lynch, J, Townend, M K, Montvila, A, Kiik, M, Siddiqui, J, Gadapa, N, Benger, M D, Mazumder, A, Barker, G, Ourselin, S, Cole, J H & Booth, T 2022, ' Deep learning to automate the labelling of head MRI datasets for computer vision applications ', European Radiology, vol. 32, no. 1, pp. 725-736 . https://doi.org/10.1007/s00330-021-08132-0
European Radiology
Objectives The purpose of this study was to build a deep learning model to derive labels from neuroradiology reports and assign these to the corresponding examinations, overcoming a bottleneck to computer vision model development. Methods Reference-s
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::19830b6d7678049b7feeee154d6ea10c
https://kclpure.kcl.ac.uk/ws/files/156367278/Deep_learning_to_automate_WOOD_Accepted14June2021_GOLD_VoR.pdf
Zobrazit plný text záznamu
9
Accurate brain-age models for routine clinical MRI examinations
Autor: David A. Wood, Sina Kafiabadi, Ayisha Al Busaidi, Emily Guilhem, Antanas Montvila, Jeremy Lynch, Matthew Townend, Siddharth Agarwal, Asif Mazumder, Gareth J. Barker, Sebastien Ourselin, James H. Cole, Thomas C. Booth
Publikováno v: NeuroImage, Vol 249, Iss, Pp 118871-(2022)
Wood, D A, Kafiabadi, S, Busaidi, A A, Guilhem, E, Montvila, A, Lynch, J, Townend, M, Agarwal, S, Mazumder, A, Barker, G J, Ourselin, S, Cole, J H & Booth, T C 2022, ' Accurate brain-age models for routine clinical MRI examinations ', NeuroImage, vol. 249, 118871, pp. 118871 . https://doi.org/10.1016/j.neuroimage.2022.118871
Convolutional neural networks (CNN) can accurately predict chronological age in healthy individuals from structural MRI brain scans. Potentially, these models could be applied during routine clinical examinations to detect deviations from healthy age
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d65f616cde01cc9d18dbcefe756f87fa
https://pubmed.ncbi.nlm.nih.gov/34995797
Zobrazit plný text záznamu
10
Computed tomographic features of the proximal petrous facial nerve canal in recurrent Bell's palsy
Autor: Milda Pucetaite, Philip Touska, Steve Connor, Irumee Pai, Janki Patel, Rupert Obholzer, Antanas Montvila, Cristina Dudau
Publikováno v: Laryngoscope Investigative Otolaryngology
Laryngoscope Investigative Otolaryngology, Vol 6, Iss 4, Pp 816-823 (2021)
Objectives The primary objective was to determine whether the narrowest dimensions of the labyrinthine facial nerve (LFN) canal on the symptomatic side in patients with unilateral recurrent Bell's palsy (BP) differ from those on the contralateral sid
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d9311d679c1e891f03df096d05d89519
https://pubmed.ncbi.nlm.nih.gov/34401507
Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání

Omezení vyhledávání
Plný text Recenzováno Digitální knihovna AV ČR
Zdroje