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Research Outputs

  1. 2019
  2. Altered structural brain asymmetry in autism spectrum disorder in a study of 54 datasets

    Postema, M. C., van Rooij, D., Anagnostou, E., Arango, C., Auzias, G., Behrmann, M., Filho, G. B., Calderoni, S., Calvo, R., Daly, E., Deruelle, C., Di Martino, A., Dinstein, I., Duran, F. L. S., Durston, S., Ecker, C., Ehrlich, S., Fair, D., Fedor, J., Feng, X. & 38 others, Fitzgerald, J., Floris, D. L., Freitag, C. M., Gallagher, L., Glahn, D. C., Gori, I., Haar, S., Hoekstra, L., Jahanshad, N., Jalbrzikowski, M., Janssen, J., King, J. A., Kong, X. Z., Lazaro, L., Lerch, J. P., Luna, B., Martinho, M. M., McGrath, J., Medland, S. E., Muratori, F., Murphy, C. M., Murphy, D. G. M., O'Hearn, K., Oranje, B., Parellada, M., Puig, O., Retico, A., Rosa, P., Rubia, K., Shook, D., Taylor, M. J., Tosetti, M., Wallace, G. L., Zhou, F., Thompson, P. M., Fisher, S. E., Buitelaar, J. K. & Francks, C., 1 Dec 2019, In : Nature Communications. 10, 1, 4958.

    Research output: Contribution to journalArticle

  3. Father-infant interactions and infant regional brain volumes: a cross-sectional MRI study

    Sethna, V., Pote, I., Wang, S., Gudbrandsen, C. M., Lee, C., Perry, E. L., P H Adams, K., Watson, C., Kangas, J., Murphy, D. G., Daly, E., Stoencheva, V. V., Kuklisova-Murgasova, M., Williams, S. C. R., Craig, M. C. & McAlonan, G. M., 16 Oct 2019, In : Developmental Cognitive Neuroscience.

    Research output: Contribution to journalArticle

  4. Towards whole placenta segmentation at late gestation using multi-view ultrasound images

    Zimmer, V. A. M., Gomez Herrero, A., Skelton, E. S., Toussaint, N. A., Zhang, T., Khanal, B., Wright, R., Noh, Y., Ho, A. E. P., Matthew, J., Hajnal, J. V. & Schnabel, J. A., 10 Oct 2019, Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 - 22nd International Conference, Proceedings. Shen, D., Yap, P-T., Liu, T., Peters, T. M., Khan, A., Staib, L. H., Essert, C. & Zhou, S. (eds.). Vol. 11768. p. 628-636 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11768 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  5. Coherent Multi-Transducer Ultrasound Imaging with Microbubble Contrast Agents

    Christensen-Jeffries, K., Peralta, L., Reinwald, M., Hajnal, J. V. & Eckersley, R. J., 1 Oct 2019, 2019 IEEE International Ultrasonics Symposium, IUS 2019. IEEE Computer Society, Vol. 2019-October. p. 2310-2312 3 p. 8926265

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  6. From pattern classification to stratification: towards conceptualizing the heterogeneity of Autism Spectrum Disorder

    Wolfers, T., Floris, D. L., Dinga, R., van Rooij, D., Isakoglou, C., Kia, S. M., Zabihi, M., Llera, A., Chowdanayaka, R., Kumar, V. J., Peng, H., Laidi, C., Batalle, D., Dimitrova, R., Charman, T., Loth, E., Lai, M-C., Jones, E., Baumeister, S., Moessnang, C. & 8 others, Banaschewski, T., Ecker, C., Dumas, G., O'Muircheartaigh, J., Murphy, D., Buitelaar, J. K., Marquand, A. F. & Beckmann, C. F., Sep 2019, In : Neuroscience and biobehavioral reviews. 104, p. 240-254 15 p.

    Research output: Contribution to journalReview article

  7. Time optimal control-based RF pulse design under gradient imperfections

    Aigner, C. S., Rund, A., Abo Seada, S., Price, A. N., Hajnal, J. V., Malik, S. J., Kunisch, K. & Stollberger, R., 23 Aug 2019, In : Magnetic Resonance in Medicine. 83, 2, p. 561-574 14 p.

    Research output: Contribution to journalArticle

  8. InSpect: INtegrated SPECTral Component Estimation and Mapping for Multi-contrast Microstructural MRI

    Slator, P. J., Hutter, J., Marinescu, R. V., Palombo, M., Young, A. L., Jackson, L. H., Ho, A., Chappell, L. C., Rutherford, M., Hajnal, J. V. & Alexander, D. C., 22 May 2019, Information Processing in Medical Imaging - 26th International Conference, IPMI 2019, Proceedings. Bao, S., Gee, J. C., Yushkevich, P. A. & Chung, A. C. S. (eds.). p. 755-766 12 p. Chapter 59. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11492 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  9. A Framework for Calculating Time-Efficient Diffusion MRI Protocols for Anisotropic IVIM and An Application in the Placenta

    Slator, P. J., Hutter, J., Ianus, A., Panagiotaki, E., Rutherford, M. A., Hajnal, J. V. & Alexander, D. C., 3 May 2019, p. 251-263. 13 p.

    Research output: Contribution to conference typesAbstract

  10. Joint Image Reconstruction and Phase Corruption Maps Estimation in Multi-shot Echo Planar Imaging

    Rabanillo, I., Sanz-Estébanez, S., Aja-Fernández, S., Hajnal, J., Alberola-López, C. & Cordero-Grande, L., 3 May 2019, International Conference on Medical Image Computing and Computer-Assisted Intervention: Computational Diffusion MRI. 226249 ed. p. 19-27 9 p. (Mathematics and Visualization).

    Research output: Chapter in Book/Report/Conference proceedingChapter

  11. Three-dimensional visualisation of the fetal heart using prenatal MRI with motion-corrected slice-volume registration: a prospective, single-centre cohort study

    Lloyd, D. F. A., Pushparajah, K., Simpson, J. M., van Amerom, J. F. P., van Poppel, M. P. M., Schulz, A., Kainz, B., Deprez, M., Lohezic, M., Allsop, J., Mathur, S., Bellsham-Revell, H., Vigneswaran, T., Charakida, M., Miller, O., Zidere, V., Sharland, G., Rutherford, M., Hajnal, J. V. & Razavi, R., 20 Apr 2019, In : Lancet. 393, 10181, p. 1619-1627 9 p.

    Research output: Contribution to journalArticle

  12. Investigating the Factors Underlying Adaptive Functioning in Autism in the EU-AIMS Longitudinal European Autism Project

    Tillmann, J., San Jose Caceres, A., Chatham, C. H., Crawley, D., Holt, R., Oakley, B., Banaschewski, T., Baron-Cohen, S., Bölte, S., Buitelaar, J. K., Durston, S., Ham, L., Loth, E., Simonoff, E., Spooren, W., Murphy, D. G. & Charman, T., 5 Apr 2019, In : Autism research. 12, 4, p. 645-657 13 p.

    Research output: Contribution to journalArticle

  13. Altered Connectivity Between Cerebellum, Visual, and Sensory-Motor Networks in Autism Spectrum Disorder: Results from the EU-AIMS Longitudinal European Autism Project

    Oldehinkel, M., Mennes, M., Marquand, A., Charman, T., Tillmann, J., Ecker, C., Dell’acqua, F., Brandeis, D., Banaschewski, T., Baumeister, S., Moessnang, C., Holt, R., Baron-cohen, S., Bölte, S., Durston, S., Kundu, P., Lombardo, M. V., Spooren, W., Loth, E., Murphy, D. G. M. & 31 others, Beckmann, C. F., Buitelaar, J. K., EU-AIMS LEAP group, Ahmad, J., Ambrosino, S., Auyeung, B., Banaschewski, T., Baron-cohen, S., Baumeister, S., Beckmann, C. F., Bölte, S., Bourgeron, T., Bours, C., Brammer, M., Brandeis, D., Brogna, C., Charman, T., Crawley, D., Ecker, C., Faulkner, J., Hayward, H., Loth, E., Lythgoe, D. J., Marquand, A., Murphy, D. G. M., Oakley, B., Ruggeri, B., San José Cáceres, A., Simonoff, E., Tillmann, J. & Williams, S. C. R., Mar 2019, In : Biological Psychiatry: Cognitive Neuroscience and Neuroimaging. 4, 3, p. 260-270

    Research output: Contribution to journalArticle

  14. Patients with autism spectrum disorders display reproducible functional connectivity alterations

    Holiga, Š., Hipp, J. F., Chatham, C. H., Garces, P., Spooren, W., D’Ardhuy, X. L., Bertolino, A., Bouquet, C., Buitelaar, J. K., Bours, C., Rausch, A., Oldehinkel, M., Bouvard, M., Amestoy, A., Caralp, M., Gueguen, S., Moal, M. L. L., Houenou, J., Beckmann, C. F., Loth, E. & 15 others, Murphy, D., Charman, T., Tillmann, J., Laidi, C., Delorme, R., Beggiato, A., Gaman, A., Scheid, I., Leboyer, M., d’Albis, M. A., Sevigny, J., Czech, C., Bolognani, F., Honey, G. D. & Dukart, J., 27 Feb 2019, In : Science Translational Medicine. 11, 481, eaat9223.

    Research output: Contribution to journalArticle

  15. Coherent multi-transducer ultrasound imaging in the presence of aberration

    Peralta, L., Gomez, A., Hajnal, J. V. & Eckersley, R., 16 Feb 2019, Medical Imaging 2019: Ultrasonic Imaging and Tomography. Byram, B. C. & Ruiter, N. V. (eds.). SPIE, Vol. 10955. 109550O

    Research output: Chapter in Book/Report/Conference proceedingConference paper

  16. 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. & Counsell, S. J., 15 Jan 2019, In : NeuroImage. 185, p. 764-775 12 p.

    Research output: Contribution to journalArticle

  17. Complete Fetal Head Compounding from Multi-view 3D Ultrasound

    Wright, R., Toussaint, N., Gomez, A., Zimmer, V., Khanal, B., Matthew, J., Skelton, E., Kainz, B., Rueckert, D., Hajnal, J. V. & Schnabel, J. A., 1 Jan 2019, Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 - 22nd International Conference, Proceedings. Shen, D., Yap, P-T., Liu, T., Peters, T. M., Khan, A., Staib, L. H., Essert, C. & Zhou, S. (eds.). SPRINGER, p. 384-392 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11766 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference paper

  18. Exploiting motion for deep learning reconstruction of extremely-undersampled dynamic MRI

    Seegoolam, G., Schlemper, J., Qin, C., Price, A., Hajnal, J. & Rueckert, D., 1 Jan 2019, Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 - 22nd International Conference, Proceedings. Shen, D., Yap, P-T., Liu, T., Peters, T. M., Khan, A., Staib, L. H., Essert, C. & Zhou, S. (eds.). SPRINGER, p. 704-712 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11767 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference paper

  19. k-t NEXT: Dynamic MR Image Reconstruction Exploiting Spatio-Temporal Correlations

    Qin, C., Schlemper, J., Duan, J., Seegoolam, G., Price, A., Hajnal, J. & Rueckert, D., 1 Jan 2019, Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 - 22nd International Conference, Proceedings. Shen, D., Yap, P-T., Liu, T., Peters, T. M., Khan, A., Staib, L. H., Essert, C. & Zhou, S. (eds.). SPRINGER, p. 505-513 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11765 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference paper

  20. Altered white matter microstructure in 22q11.2 deletion syndrome: a multisite diffusion tensor imaging study

    Villalon-Reina, J. E., Martínez, K., Qu, X., Ching, C. R. K., Nir, T., Kothapalli, D., Corbin, C., Sun, D., Lin, A., Forsyth, J. K., Kushan, L., Vajdi, A., Jalbrzikowski, M., Hansen, L., Jonas, R. K., Van Amelsvoort, T., Bakker, G., Kates, W. R., Antshel, K. M., Fremont, W. & 33 others, Campbell, L. E., McCabe, K. L., Gudbrandsen, C. M., Daly, E. M., Gudbrandsen, C. M., Murphy, C., Murphy, D. G., Craig, M., Emanuel, B. S., McDonald-McGinn, D. M., Vorstman, J. A. S., Fiksinski, A., Koops, S., Ruparel, K., Roalf, D. R., Gur, R. E., Schmitt, J. E., Simon, T. J., Goodrich-hunsaker, N. J., Durdle, C. A., Doherty, J., Cunningham, A. C., van den Bree, M., Linden, D. E. J., Owen, M. J., Moss, H., Kelly, S., Donohoe, G., Murphy, K. C., Arango, C., Jahanshad, N., Thompson, P. M. & Bearden, C. E., 2019, In : Molecular Psychiatry.

    Research output: Contribution to journalArticle

  21. Auxiliary PTx system for active control of induced RF currents in conductive guidewires

    Godinez, F., Hajnal, J. V. & Malik, S. J., 2019, Proceedings of the International Society of Magnetic Resonance in Medicine . International Society for Magnetic Resonance in Medicine

    Research output: Chapter in Book/Report/Conference proceedingMeeting abstract

  22. Investigating image registration impact on preterm birth classification: An interpretable deep learning approach

    Grigorescu, I., Cordero-Grande, L., David Edwards, A., Hajnal, J. V., Modat, M. & Deprez, M., 2019, Smart Ultrasound Imaging and Perinatal, Preterm and Paediatric Image Analysis - 1st International Workshop, SUSI 2019, and 4th International Workshop, PIPPI 2019, Held in Conjunction with MICCAI 2019, Proceedings. Wang, Q., Gomez, A., Hutter, J., Gomez, A., Zimmer, V., Hutter, J., Robinson, E., Christiaens, D., Melbourne, A., McLeod, K., Zettinig, O., Licandro, R. & Turk, E. A. (eds.). SPRINGER, p. 104-112 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11798 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference paper

  23. Self-supervised Recurrent Neural Network for 4D Abdominal and In-utero MR ImagingMachine Learning for Medical Image Reconstruction

    Zhang, T., Jackson, L. H., Uus, A., Clough, J. R., Story, L., Rutherford, M. A., Hajnal, J. V. & Deprez, M., 2019, MICCAI workshop on Machine Learning for Medical Image Reconstruction. SPRINGER, Vol. 11905. (Lecture Notes on Computer Science).

    Research output: Chapter in Book/Report/Conference proceedingConference paper

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