Zobrazeno 1 - 10
of 8 424
pro vyhledávání: '"A Hajnal"'
Autor:
Ashby, Ben S., Chronholm, Veronika, Hajnal, Daniel K., Lukyanov, Alex, MacKenzie, Katherine, Pim, Aaron, Pryer, Tristan
In this work, we present a fundamental mathematical model for proton transport, tailored to capture the key physical processes underpinning Proton Beam Therapy (PBT). The model provides a robust and computationally efficient framework for exploring v
Externí odkaz:
http://arxiv.org/abs/2411.16735
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:
West, Daniel J, Glang, Felix, Endres, Jonathan, Leitão, David, Zaiss, Moritz, Hajnal, Joseph V, Malik, Shaihan J
MRI systems are traditionally engineered to produce close to idealized performance, enabling a simplified pulse sequence design philosophy. An example of this is control of eddy currents produced by gradient fields; usually these are compensated by p
Externí odkaz:
http://arxiv.org/abs/2403.17575
Autor:
Dannecker, Maik, Kyriakopoulou, Vanessa, Cordero-Grande, Lucilio, Price, Anthony N., Hajnal, Joseph V., Rueckert, Daniel
We introduce a conditional implicit neural atlas (CINA) for spatio-temporal atlas generation from Magnetic Resonance Images (MRI) of the neurotypical and pathological fetal brain, that is fully independent of affine or non-rigid registration. During
Externí odkaz:
http://arxiv.org/abs/2403.08550
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:
Venturini, Lorenzo, Budd, Samuel, Farruggia, Alfonso, Wright, Robert, Matthew, Jacqueline, Day, Thomas G., Kainz, Bernhard, Razavi, Reza, Hajnal, Jo V.
The current approach to fetal anomaly screening is based on biometric measurements derived from individually selected ultrasound images. In this paper, we introduce a paradigm shift that attains human-level performance in biometric measurement by agg
Externí odkaz:
http://arxiv.org/abs/2401.01201
Autor:
Megan Hall, Jordina Aviles Verdera, Daniel Cromb, Sara Neves Silva, Mary Rutherford, Serena J. Counsell, Joseph V Hajnal, Lisa Story, Jana Hutter
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract Placental MRI is increasingly implemented in clinical obstetrics and research. Functional imaging, especially T2*, has been shown to vary across gestation and in pathology. Translation into the clinical arena has been slow because of time ta
Externí odkaz:
https://doaj.org/article/7111c2ad72784dd9a7ba455ce712661c
Autor:
G. Ball, S. Oldham, V. Kyriakopoulou, L. Z. J. Williams, V. Karolis, A. Price, J. Hutter, M. L. Seal, A. Alexander-Bloch, J. V. Hajnal, A. D. Edwards, E. C. Robinson, J. Seidlitz
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-19 (2024)
Abstract The third trimester of human gestation is characterised by rapid increases in brain volume and cortical surface area. Recent studies have revealed a remarkable molecular diversity across the prenatal cortex but little is known about how this
Externí odkaz:
https://doaj.org/article/0e1b3668e04d419abcc6f7eebfe07e38
Autor:
Hajnal, Ákos
This paper presents a novel online learning method that aims at finding a separator hyperplane between data points labelled as either positive or negative. Since weights and biases of artificial neurons can directly be related to hyperplanes in high-
Externí odkaz:
http://arxiv.org/abs/2309.06049