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Kelly Payette
Kelly Payette
University Children's Hospital Zurich / King's College London
Zweryfikowany adres z kcl.ac.uk
Tytuł
Cytowane przez
Cytowane przez
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An automatic multi-tissue human fetal brain segmentation benchmark using the fetal tissue annotation dataset
K Payette, P de Dumast, H Kebiri, I Ezhov, JC Paetzold, S Shit, A Iqbal, ...
Scientific data 8 (1), 167, 2021
1212021
Postoperative brain volumes are associated with one-year neurodevelopmental outcome in children with severe congenital heart disease
E Meuwly, M Feldmann, W Knirsch, M von Rhein, K Payette, H Dave, ...
Scientific reports 9 (1), 10885, 2019
522019
Fetal brain tissue annotation and segmentation challenge results
K Payette, HB Li, P de Dumast, R Licandro, H Ji, MMR Siddiquee, D Xu, ...
Medical image analysis 88, 102833, 2023
342023
Biomedical image analysis competitions: The state of current participation practice
M Eisenmann, A Reinke, V Weru, MD Tizabi, F Isensee, TJ Adler, ...
arXiv preprint arXiv:2212.08568, 2022
342022
Why is the winner the best?
M Eisenmann, A Reinke, V Weru, MD Tizabi, F Isensee, TJ Adler, S Ali, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
272023
Efficient multi-class fetal brain segmentation in high resolution MRI reconstructions with noisy labels
K Payette, R Kottke, A Jakab
Medical Ultrasound, and Preterm, Perinatal and Paediatric Image Analysis …, 2020
222020
Emerging magnetic resonance imaging techniques in open spina bifida in utero
A Jakab, K Payette, L Mazzone, S Schauer, CO Muller, R Kottke, ...
European radiology experimental 5 (1), 23, 2021
182021
Priscille de Dumast, Hamza Kebiri, Ivan Ezhov, Johannes C Paetzold, Suprosanna Shit, Asim Iqbal, Romesa Khan, Raimund Kottke, Patrice Grehten, et al
K Payette
An automatic multi-tissue human fetal brain segmentation benchmark using the …, 2021
162021
An automatic multi-tissue human fetal brain segmentation benchmark using the fetal tissue annotation dataset. Sci Data 8: 167
K Payette, P de Dumast, H Kebiri, I Ezhov, JC Paetzold, S Shit, A Iqbal, ...
162021
An automated pipeline for quantitative T2* fetal body MRI and segmentation at low field
K Payette, A Uus, J Aviles Verdera, C Avena Zampieri, M Hall, L Story, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2023
142023
Synthetic magnetic resonance images for domain adaptation: Application to fetal brain tissue segmentation
P de Dumast, H Kebiri, K Payette, A Jakab, H Lajous, MB Cuadra
2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI), 1-5, 2022
142022
A fetal brain magnetic resonance acquisition numerical phantom (FaBiAN)
H Lajous, CW Roy, T Hilbert, P de Dumast, S Tourbier, Y Alemán-Gómez, ...
Scientific Reports 12 (1), 8682, 2022
132022
Longitudinal analysis of fetal MRI in patients with prenatal spina bifida repair
K Payette, U Moehrlen, L Mazzone, N Ochsenbein-Kölble, R Tuura, ...
Smart Ultrasound Imaging and Perinatal, Preterm and Paediatric Image …, 2019
112019
Assessment of normal pulmonary development using functional magnetic resonance imaging techniques
CL Avena-Zampieri, J Hutter, M Deprez, K Payette, M Hall, A Uus, ...
American Journal of Obstetrics & Gynecology MFM 5 (6), 100935, 2023
82023
Combined quantitative T2* map and structural T2-weighted tissue-specific analysis for fetal brain MRI: pilot automated pipeline
AU Uus, M Hall, K Payette, JV Hajnal, M Deprez, MA Rutherford, J Hutter, ...
International Workshop on Preterm, Perinatal and Paediatric Image Analysis …, 2023
72023
Cerebral desaturation during neonatal congenital heart surgery is associated with perioperative brain structure alterations but not with neurodevelopmental outcome at 1 year
AA De Silvestro, B Krüger, C Steger, M Feldmann, K Payette, J Krüger, ...
European Journal of Cardio-Thoracic Surgery 62 (5), ezac138, 2022
62022
on behalf of the Research Group H and Brain*. Postoperative brain volumes are associated with one-year neurodevelopmental outcome in children with severe congenital heart disease
E Meuwly, M Feldmann, W Knirsch, M von Rhein, K Payette, H Dave, ...
Sci. Rep 9, 10885, 2019
62019
Priscille de Dumast, Roxane Licandro, Hui Ji, Md Mahfuzur Rahman Siddiquee, Daguang Xu et al." Fetal brain tissue annotation and segmentation challenge results."
K Payette, HB Li
Medical Image Analysis 88, 102833, 2023
52023
Functional assessment of brain development in fetuses that subsequently deliver very preterm: An MRI pilot study
L Story, A Uus, M Hall, K Payette, S Bakalis, T Arichi, A Shennan, ...
Prenatal Diagnosis 44 (1), 49-56, 2024
42024
An opportunity to increase collaborative science in fetal, infant, and toddler neuroimaging
KA Vaughn, T Arichi, E Aydin, MC Camacho, M Dapretto, A Ford, ...
Biological psychiatry 93 (10), 864-866, 2023
42023
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