Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Verdera, Jordina Aviles"'
Autor:
Verdera, Jordina Aviles, Silva, Sara Neves, Tomi-Tricot, Raphael, Hall, Megan, Story, Lisa, Malik, Shaihan J, Hajnal, Joseph V, Rutherford, Mary A, Hutter, Jana
Purpose: To provide real-time quantitative organ-specific information - specifically placental and brain T2* - to allow optimization of the MR examination to the individual patient. Methods: A FIRE-based real-time setup segmenting placenta and fetal
Externí odkaz:
http://arxiv.org/abs/2409.16878
Autor:
Silva, Sara Neves, Woodgate, Tomas, McElroy, Sarah, Cleri, Michela, Clair, Kamilah St, Verdera, Jordina Aviles, Payette, Kelly, Uus, Alena, Story, Lisa, Lloyd, David, Rutherford, Mary A, Hajnal, Joseph V, Pushparajah, Kuberan, Hutter, Jana
Two subsequent deep learning networks, one localizing the fetal chest and one identifying a set of landmarks on a coronal whole-uterus balanced steady-state free precession scan, were trained on 167 and 71 fetal datasets across field strengths, acqui
Externí odkaz:
http://arxiv.org/abs/2408.06326
Autor:
Silva, Sara Neves, McElroy, Sarah, Verdera, Jordina Aviles, Colford, Kathleen, Clair, Kamilah St, Tomi-Tricot, Raphael, Uus, Alena, Ozenne, Valery, Hall, Megan, Story, Lisa, Pushparajah, Kuberan, Rutherford, Mary A, Hajnal, Joseph V, Hutter, Jana
Purpose: Widening the availability of fetal MRI with fully automatic real-time planning of radiological brain planes on 0.55T MRI. Methods: Deep learning-based detection of key brain landmarks on a whole-uterus EPI scan enables the subsequent fully a
Externí odkaz:
http://arxiv.org/abs/2401.10441
Autor:
Payette, Kelly, Uus, Alena, Verdera, Jordina Aviles, Zampieri, Carla Avena, Hall, Megan, Story, Lisa, Deprez, Maria, Rutherford, Mary A., Hajnal, Joseph V., Ourselin, Sebastien, Tomi-Tricot, Raphael, Hutter, Jana
Fetal Magnetic Resonance Imaging at low field strengths is emerging as an exciting direction in perinatal health. Clinical low field (0.55T) scanners are beneficial for fetal imaging due to their reduced susceptibility-induced artefacts, increased T2
Externí odkaz:
http://arxiv.org/abs/2308.04903
Akademický článek
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Autor:
Yuli Zhang, Charlie, Cleri, Michela, Woodgate, Tomas, Gilliland, Paula Ramirez, Bansal, Simi, Verdera, Jordina Aviles, Uus, Alena U., Kyriakopoulou, Vanessa, St Clair, Kamilah, Story, Lisa, Hall, Megan, Pushparajah, Kuberan, Hajnal, Joseph V., Lloyd, David, Rutherford, Mary A., Hutter, Jana, Payette, Kelly
Publikováno v:
Frontiers in Pediatrics; 2024, p1-17, 17p
Akademický článek
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Akademický článek
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Autor:
Payette K; Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.; Department of Biomedical Engineering, School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK., Uus A; Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.; Department of Biomedical Engineering, School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK., Verdera JA; Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.; Department of Biomedical Engineering, School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK., Zampieri CA; Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.; Department of Biomedical Engineering, School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK., Hall M; Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.; Department of Women & Children's Health, King's College London, London, UK: MR Research Collaborations, Siemens Healthcare Limited, Camberley, UK., Story L; Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.; Department of Biomedical Engineering, School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK., Deprez M; Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.; Department of Biomedical Engineering, School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK., Rutherford MA; Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK., Hajnal JV; Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.; Department of Biomedical Engineering, School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK., Ourselin S; Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.; Department of Biomedical Engineering, School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK., Tomi-Tricot R; Department of Biomedical Engineering, School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK., Hutter J; Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.; Department of Biomedical Engineering, School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.
Publikováno v:
ArXiv [ArXiv] 2023 Aug 09. Date of Electronic Publication: 2023 Aug 09.
Autor:
Slator PJ; Centre for Medical Image Computing and Department of Computer Science, University College London, London, United Kingdom.; Cardiff University Brain Research Imaging Centre, School of Psychology, Cardiff University, Cardiff, UK.; School of Computer Science and Informatics, Cardiff University, Cardiff, UK., Verdera JA; Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.; Biomedical Engineering Department, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom., Tomi-Tricot R; MR Research Collaborations, Siemens Healthcare Limited, Camberley, United Kingdom.; Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.; Biomedical Engineering Department, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom., Hajnal JV; Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.; Biomedical Engineering Department, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom., Alexander DC; Centre for Medical Image Computing and Department of Computer Science, University College London, London, United Kingdom., Hutter J; Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.; Biomedical Engineering Department, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.
Publikováno v:
MedRxiv : the preprint server for health sciences [medRxiv] 2023 Jun 10. Date of Electronic Publication: 2023 Jun 10.