Hajnal, Joseph V.

A deep cascade of convolutional neural networks for dynamic MR image reconstruction

Schlemper, J., Caballero, J., Hajnal, J. V., Price, A. N., & Rueckert, D. (2018) · IEEE Transactions on Medical Imaging

Advanced MRI Techniques and ApplicationsSparse and Compressive Sensing Techniques

Cited by 1,338

DeepCut: Object Segmentation From Bounding Box Annotations Using Convolutional Neural Networks

Rajchl, M., Lee, M. C. H., Oktay, O., Kamnitsas, K., Passerat-Palmbach, J., Bai, W., Damodaram, M., Rutherford, M. A., Hajnal, J. V., Kainz, B., et al. (2017) · IEEE Transactions on Medical Imaging

Medical Image Segmentation TechniquesAdvanced Neural Network Applications

Cited by 410

Development of cortical microstructure in the preterm human brain

Ball, G., Srinivasan, L., Aljabar, P., Counsell, S. J., Durighel, G., Hajnal, J. V., Rutherford, M. A., & Edwards, A. D. (2013) · Proceedings of the National Academy of Sciences

Advanced Neuroimaging Techniques and ApplicationsNeonatal and fetal brain pathology

Cited by 331

Moderate hypothermia within 6 h of birth plus inhaled xenon versus moderate hypothermia alone after birth asphyxia (TOBY-Xe): a proof-of-concept, open-label, randomised controlled trial

Azzopardi, D., Robertson, N. J., Bainbridge, A., Cady, E., Charles-Edwards, G., Deierl, A., Fagiolo, G., Franks, N. P., Griffiths, J., Hajnal, J., et al. (2016) · The Lancet Neurology

Neonatal and fetal brain pathologyThermal Regulation in Medicine

Cited by 220

Fast Volume Reconstruction From Motion Corrupted Stacks of 2D Slices

Kainz, B., Steinberger, M., Wein, W., Kuklisova-Murgasova, M., Malamateniou, C., Keraudren, K., Torsney-Weir, T., Rutherford, M., Aljabar, P., Hajnal, J. V., et al. (2015) · IEEE Transactions on Medical Imaging

Medical Image Segmentation TechniquesMedical Imaging Techniques and Applications

Cited by 200

Automatic quantification of normal cortical folding patterns from fetal brain MRI

Wright, R., Kyriakopoulou, V., Ledig, C., Rutherford, M. A., Hajnal, J. V., Rueckert, D., & Aljabar, P. (2014) · NeuroImage

Medical Image Segmentation TechniquesFetal and Pediatric Neurological Disorders

Cited by 134

Machine-learning to characterise neonatal functional connectivity in the preterm brain

Ball, G., Aljabar, P., Arichi, T., Tusor, N., Cox, D., Merchant, N., Nongena, P., Hajnal, J. V., Edwards, A. D., & Counsell, S. J. (2016) · NeuroImage

Functional Brain Connectivity StudiesInfant Development and Preterm Care

Cited by 114

Validation study of the accuracy of echocardiographic measurements of systemic blood flow volume in newborn infants

Ficial, B., Finnemore, A. E., Cox, D. J., Broadhouse, K. M., Price, A. N., Durighel, G., Ekitzidou, G., Hajnal, J. V., Edwards, A. D., & Groves, A. M. (2013) · Journal of the American Society of Echocardiography

Congenital Heart Disease StudiesCardiovascular Function and Risk Factors

Cited by 102

Automated fetal brain segmentation from 2D MRI slices for motion correction

Keraudren, K., Kuklisova-Murgasova, M., Kyriakopoulou, V., Malamateniou, C., Rutherford, M. A., Kainz, B., Hajnal, J. V., & Rueckert, D. (2014) · NeuroImage

Medical Image Segmentation TechniquesFetal and Pediatric Neurological Disorders

Cited by 91

Different patterns of cortical maturation before and after 38 weeks gestational age demonstrated by diffusion MRI in vivo

Batalle, D., O'Muircheartaigh, J., Makropoulos, A., Kelly, C. J., Dimitrova, R., Hughes, E. J., Hajnal, J. V., Zhang, H., Alexander, D. C., Edwards, A. D., et al. (2019) · NeuroImage

Advanced Neuroimaging Techniques and ApplicationsNeonatal and fetal brain pathology

Cited by 89

Intracellular and extracellular skeletal muscle triglyceride metabolism during alternating intensity exercise in humans

Rico‐Sanz, J., Hajnal, J. V., Thomas, E. L., Mierisová, Ŝ., Ala‐Korpela, M., & Bell, J. D. (1998) · The Journal of Physiology

Muscle metabolism and nutritionCardiovascular and exercise physiology

Cited by 88

Fast Fully Automatic Segmentation of the Human Placenta from Motion Corrupted MRI

Alansary, A., Kamnitsas, K., Davidson, A., Khlebnikov, R., Rajchl, M., Malamateniou, C., Rutherford, M., Hajnal, J. V., Glocker, B., Rueckert, D., et al. (2016) · Lecture Notes in Computer Science

Medical Image Segmentation TechniquesBrain Tumor Detection and Classification

Cited by 77

Abnormal microstructural development of the cerebral cortex in neonates with congenital heart disease is associated with impaired cerebral oxygen delivery

Kelly, C. J., Christiaens, D., Batalle, D., Makropoulos, A., Cordero‐Grande, L., Steinweg, J. K., O'Muircheartaigh, J., Khan, H., Lee, G., Victor, S., et al. (2019) · Journal of the American Heart Association

Congenital Heart Disease StudiesFetal and Pediatric Neurological Disorders

Cited by 72

Development of Microstructural and Morphological Cortical Profiles in the Neonatal Brain

Fenchel, D., Dimitrova, R., Seidlitz, J., Robinson, E. C., Batalle, D., Hutter, J., Christiaens, D., Pietsch, M., Brandon, J., Hughes, E. J., et al. (2020) · Cerebral Cortex

Functional Brain Connectivity StudiesAdvanced Neuroimaging Techniques and Applications

Cited by 71

Joint system relaxometry (JSR) and Crámer‐Rao lower bound optimization of sequence parameters: A framework for enhanced precision of DESPOT T1 and T2 estimation

Teixeira, R. P. A. G., Malik, S. J., & Hajnal, J. V. (2018) · Magnetic Resonance in Medicine

Advanced MRI Techniques and ApplicationsAdvanced Neuroimaging Techniques and Applications

Cited by 39

Social Brain Functional Maturation in Newborn Infants With and Without a Family History of Autism Spectrum Disorder

Ciarrusta, J., O'Muircheartaigh, J., Dimitrova, R., Batalle, D., Cordero-Grande, L., Price, A., Hughes, E., Steinweg, J. K., Kangas, J., Perry, E., et al. (2019) · JAMA Network Open

Autism Spectrum Disorder ResearchFunctional Brain Connectivity Studies

Cited by 35

A tract-specific approach to assessing white matter in preterm infants

Pecheva, D., Yushkevich, P., Batalle, D., Hughes, E., Aljabar, P., Wurie, J., Hajnal, J. V., Edwards, A. D., Alexander, D. C., Counsell, S. J., et al. (2017) · NeuroImage

Advanced Neuroimaging Techniques and ApplicationsFunctional Brain Connectivity Studies

Cited by 33

Maternal depressive symptoms, neonatal white matter, and toddler social-emotional development

Lautarescu, A., Bonthrone, A. F., Pietsch, M., Batalle, D., Cordero-Grande, L., Tournier, J.-D., Christiaens, D., Hajnal, J. V., Chew, A., Falconer, S., et al. (2022) · Translational Psychiatry

Maternal Mental Health During Pregnancy and PostpartumPrenatal Substance Exposure Effects

Cited by 29

Comprehensive volumetric phenotyping of the neonatal brain in Down syndrome

Fukami-Gartner, A., Baburamani, A. A., Dimitrova, R., Patkee, P. A., Ojinaga-Alfageme, O., Bonthrone, A. F., Cromb, D., Uus, A. U., Counsell, S. J., Hajnal, J. V., et al. (2023) · Cerebral Cortex

Down syndrome and intellectual disability researchFetal and Pediatric Neurological Disorders

Cited by 24

Towards Whole Placenta Segmentation at Late Gestation Using Multi-view Ultrasound Images

Zimmer, V. A., Gomez, A., Skelton, E., Toussaint, N., Zhang, T., Khanal, B., Wright, R., Noh, Y., Ho, A., Matthew, J., et al. (2019) · Lecture Notes in Computer Science

Medical Image Segmentation TechniquesArtificial Intelligence in Healthcare and Education

Cited by 20

Towards automated extraction of 2D standard fetal head planes from 3D ultrasound acquisitions: A clinical evaluation and quality assessment comparison

Skelton, E., Matthew, J., Li, Y., Khanal, B., Cerrolaza Martinez, J. J., Toussaint, N., Gupta, C., Knight, C., Kainz, B., Hajnal, J. V., et al. (2021) · Radiography

Fetal and Pediatric Neurological DisordersArtificial Intelligence in Healthcare and Education

Cited by 11

Scattered slice shard reconstruction for motion correction in multi-shell diffusion MRI

Christiaens, D., Cordero-Grande, L., Pietsch, M., Hutter, J., Price, A. N., Hughes, E. J., Vecchiato, K., Deprez, M., Edwards, A. D., Hajnal, J. V., et al. (2021) · NeuroImage

Advanced Neuroimaging Techniques and ApplicationsAdvanced MRI Techniques and Applications

Cited by 4