Zobrazeno 1 - 10
of 40
pro vyhledávání: '"Kathleen M. Curran"'
Autor:
Helena C. Bartels, Sodiq Hameed, Constance Young, Myriam Nabhan, Paul Downey, Kathleen M. Curran, Janet McCormack, Aurelie Fabre, Walter Kolch, Vadim Zhernovkov, Donal J. Brennan
Publikováno v:
npj Women's Health, Vol 2, Iss 1, Pp 1-9 (2024)
Abstract Placenta Accreta Spectrum (PAS) and pre-eclampsia are obstetric disorders associated with significant maternal morbidity and mortality. As pre-eclampsia is characterised by shallow placental invasion and PAS by abnormally deep invasion, we s
Externí odkaz:
https://doaj.org/article/1b137a68beec4c83b97d9f8a9c00b698
Autor:
Helena C. Bartels, Jim O’Doherty, Eric Wolsztynski, David P. Brophy, Roisin MacDermott, David Atallah, Souha Saliba, Constance Young, Paul Downey, Jennifer Donnelly, Tony Geoghegan, Donal J. Brennan, Kathleen M. Curran
Publikováno v:
European Radiology Experimental, Vol 7, Iss 1, Pp 1-14 (2023)
Abstract Background Placenta accreta spectrum (PAS) is a rare, life-threatening complication of pregnancy. Predicting PAS severity is critical to individualise care planning for the birth. We aim to explore whether radiomic analysis of T2-weighted ma
Externí odkaz:
https://doaj.org/article/185d8d1790f94bd692b4e575611e71cc
Autor:
Helena C. Bartels, Jim O’Doherty, Eric Wolsztynski, David P. Brophy, Roisin MacDermott, David Atallah, Souha Saliba, Constance Young, Paul Downey, Jennifer Donnelly, Tony Geoghegan, Donal J. Brennan, Kathleen M. Curran
Publikováno v:
European Radiology Experimental, Vol 7, Iss 1, Pp 1-2 (2023)
Externí odkaz:
https://doaj.org/article/6b314880ce384269a3cafbe2a294be77
Autor:
Alessandro N. Franciosi, Nicholas McCarthy, Brian Gaffney, John Duignan, Eamon Sweeney, Niall O'Connell, Karen Murphy, Fionnuala Ní Áinle, Marcus W. Butler, Jonathan D. Dodd, Michael P. Keane, David J. Murphy, Kathleen M. Curran, Cormac McCarthy
Publikováno v:
The European respiratory journal. 59(5)
Publikováno v:
Medical Imaging 2021: Image Processing.
Cardiac Magnetic Resonance (CMR) is the most effective tool for the assessment and diagnosis of a heart condition, which malfunction is the world's leading cause of death. Software tools leveraging Artficial Intelligence already enhance radiologists
Autor:
Niamh Belton, Aonghus Lawlor, Misgina Tsighe Hagos, Ivan Welaratne, Kathleen M. Curran, Adil Dahlan, Ronan T. Hearne
Publikováno v:
Medical Image Understanding and Analysis ISBN: 9783030804312
This work employs a pre-trained, multi-view Convolutional Neural Network (CNN) with a spatial attention block to optimise knee injury detection. An open-source Magnetic Resonance Imaging (MRI) data set with image-level labels was leveraged for this a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::870f1c90a470d524684d7cb5a2d1744a
https://doi.org/10.1007/978-3-030-80432-9_6
https://doi.org/10.1007/978-3-030-80432-9_6
Autor:
Adil Dahlan, Nicholas McCarthy, Marie-Louise Ryan, Brendan St John, Aonghus Lawlor, Kathleen M. Curran, Tessa S. Cook, Neil O’ Hare
Publikováno v:
Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB). 83
In recent years enterprise imaging (EI) solutions have become a core component of healthcare initiatives, while a simultaneous rise in big data has opened up a number of possibilities in how we can analyze and derive insights from large amounts of me
Publikováno v:
Studies in Computational Intelligence ISBN: 9789811563201
Gliomas are tumors that arise in the glial cells of the brain and spine. Gliomas are one of the most common brain cancers, and comprise 80% of all malignant brain tumours. Gliomas are classified by cell type, grade, and location. Prognosis of patient
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aed027f1d220ebe64c878bd285dbf561
https://doi.org/10.1007/978-981-15-6321-8_16
https://doi.org/10.1007/978-981-15-6321-8_16
Autor:
Xuanhui Xu, David Kilroy, Eleni Mangina, John J. Healy, Abraham G. Campbell, Kathleen M. Curran
Publikováno v:
iLRN
Advances in virtual immersive and augmented reality technology, commercially available for the entertainment and gaming industry, hold potential for education and clinical use in medicine and the field of radiology. Radiology departments have begun e
Segmentation of bone regions allows for enhanced diagnostics, disease characterisation and treatment monitoring in CT imaging. In contrast enhanced whole-body scans accurate automatic segmentation is particularly difficult as low dose whole body prot
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::993454e9fb19c8bd1ca2c71451ca9b48