King's College London

Research portal

Dr Emma Robinson

  1. The Developing Human Connectome Project Neonatal Data Release

    Edwards, A. D., Rueckert, D., Smith, S. M., Abo Seada, S., Alansary, A., Almalbis, J., Allsop, J., Andersson, J., Arichi, T., Arulkumaran, S., Bastiani, M., Batalle, D., Baxter, L., Bozek, J., Braithwaite, E., Brandon, J., Carney, O., Chew, A., Christiaens, D., Chung, R. & 54 others, Colford, K., Cordero-Grande, L., Counsell, S., Cullen, H., Cupitt, J., Curtis, C., Davidson, A., Deprez, M., Dillon, L., Dimitrakopoulou, K., Dimitrova, R., Duff, E. P., Falconer, S., Farahibozorg, S-R., Fitzgibbon, S. P., Gao, J., Gaspar, A., Harper, N., Harrison, S., Hughes, E., Hutter, J., Jenkinson, M., Jbabdi, S., Jones, E., Karolis, V., Kyriakopoulou, V., Lenz, G., Makropoulos, A., Malik, S., Mason, L., Mortari, F., Nosarti, C., Nunes, R. G., O'Keeffe, C., O'Muircheartaigh, J., Patel, H., Passerat-Palmbach, J., Pietsch, M., Price, A., Robinson, E., Rutherford, M., Schuh, A., Sotiropoulos, S., Steinweg, J., Teixeira, R. P. A. G., Tenev, T., Tournier, J-D., Tusor, N., Uus, A., Vecchiato, K., Williams, L., Wright, R., Wurie, J. & Hajnal, J., 23 May 2022, In: Frontiers in Neuroscience.

    Research output: Contribution to journalArticlepeer-review

  2. Neonatal multi-modal cortical profiles predict 18-month developmental outcomes

    Fenchel, D., Dimitrova, R., Robinson, E., Batalle, D., Chew, A., Falconer, S., Kyriakopoulou, V., Nosarti, C., Hutter, J., Christiaens, D., Pietsch, M., Brandon, J., Hughes, E., Allsop, J., O'Keeffe, C., Price, A., Cordero-Grande, L., Hajnal, J., Schuh, A., Makropoulos, A. & 6 others, Passerat-Palmbach, J., Bozek, J., Rueckert, D., McAlonan, G., Edwards, D. & O'Muircheartaigh, J., 23 Mar 2022, (Accepted/In press) In: Developmental Cognitive Neuroscience.

    Research output: Contribution to journalArticlepeer-review

  3. Preterm birth alters the development of cortical microstructure and morphology at term-equivalent age

    Dimitrova, R., Pietsch, M., Ciarrusta, J., Fitzgibbon, S. P., Williams, L. Z. J., Christiaens, D., Cordero-Grande, L., Batalle, D., Makropoulos, A., Schuh, A., Price, A. N., Hutter, J., Teixeira, R. PAG., Hughes, E., Chew, A., Falconer, S., Carney, O., Egloff, A., Tournier, J-D., McAlonan, G. & 7 others, Rutherford, M. A., Counsell, S. J., Robinson, E. C., Hajnal, J. V., Rueckert, D., Edwards, A. D. & O’Muircheartaigh, J., 19 Aug 2021, (Accepted/In press) In: NeuroImage.

    Research output: Contribution to journalArticlepeer-review

  4. Predicting preterm birth using multimodal fetal imaging

    Heinsalu, R., Williams, L., Ranjan, A., Avena Zampieri, C., Uus, A., Robinson, E., Rutherford, M., Story, L. & Hutter, J., 25 Jul 2021, (Accepted/In press) Proceedings of the MICCAI PIPPI workshop. Springer

    Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review

  5. A survey on active learning and human-in-the-loop deep learning for medical image analysis

    Budd, S., Robinson, E. C. & Kainz, B., Jul 2021, In: Medical Image Analysis. 71, 102062.

    Research output: Contribution to journalReview articlepeer-review

  6. Detecting Hypo-plastic Left Heart Syndrome in Fetal Ultrasound via Disease-Specific Atlas Maps

    Budd, S., Sinclair, M., Day, T., Vlontzos, A., Tan, J., Liu, T., Matthew, J., Skelton, E., Simpson, J., Razavi, R., Glocker, B., Rueckert, D., Robinson, E. C. & Kainz, B., 2021, Medical Image Computing and Computer Assisted Intervention – MICCAI 2021 - 24th International Conference, Proceedings. de Bruijne, M., Cattin, P. C., Cotin, S., Padoy, N., Speidel, S., Zheng, Y. & Essert, C. (eds.). Springer Science and Business Media Deutschland GmbH, p. 207-217 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12907 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review

  7. Distinguishing Healthy Ageing from Dementia: A Biomechanical Simulation of Brain Atrophy Using Deep Networks

    Silva, M. D., Sudre, C. H., Garcia, K., Bass, C., Cardoso, M. J. & Robinson, E. C., 2021, Machine Learning in Clinical Neuroimaging - 4th International Workshop, MLCN 2021, Held in Conjunction with MICCAI 2021, Proceedings. Abdulkadir, A., Kia, S. M., Habes, M., Kumar, V., Rondina, J. M., Tax, C., Tax, C. & Wolfers, T. (eds.). Springer Science and Business Media Deutschland GmbH, p. 13-22 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13001 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review

  8. Geometric Deep Learning of the Human Connectome Project Multimodal Cortical Parcellation

    Williams, L. Z. J., Fawaz, A., Glasser, M. F., Edwards, A. D. & Robinson, E. C., 2021, Machine Learning in Clinical Neuroimaging - 4th International Workshop, MLCN 2021, Held in Conjunction with MICCAI 2021, Proceedings. Abdulkadir, A., Kia, S. M., Habes, M., Kumar, V., Rondina, J. M., Tax, C., Tax, C. & Wolfers, T. (eds.). Springer Science and Business Media Deutschland GmbH, p. 103-112 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13001 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review

  9. Improving Phenotype Prediction Using Long-Range Spatio-Temporal Dynamics of Functional Connectivity

    Dahan, S., Williams, L. Z. J., Rueckert, D. & Robinson, E. C., 2021, Machine Learning in Clinical Neuroimaging - 4th International Workshop, MLCN 2021, Held in Conjunction with MICCAI 2021, Proceedings. Abdulkadir, A., Kia, S. M., Habes, M., Kumar, V., Rondina, J. M., Tax, C., Tax, C. & Wolfers, T. (eds.). Springer Science and Business Media Deutschland GmbH, p. 145-154 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13001 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review

  10. PialNN: A Fast Deep Learning Framework for Cortical Pial Surface Reconstruction

    Ma, Q., Robinson, E. C., Kainz, B., Rueckert, D. & Alansary, A., 2021, Machine Learning in Clinical Neuroimaging - 4th International Workshop, MLCN 2021, Held in Conjunction with MICCAI 2021, Proceedings. Abdulkadir, A., Kia, S. M., Habes, M., Kumar, V., Rondina, J. M., Tax, C., Tax, C. & Wolfers, T. (eds.). Springer Science and Business Media Deutschland GmbH, p. 73-81 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13001 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review

  11. ICAM: Interpretable Classification via Disentangled Representations and Feature Attribution Mapping

    Bass, C., da Silva, M., Sudre, C. H., Tudosiu, D., Smith, S. M. & Robinson, E., 6 Dec 2020, Advances in Neural Information Processing Systems. Vol. 33.

    Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review

  12. The developing Human Connectome Project (dHCP) automated resting-state functional processing framework for newborn infants

    Fitzgibbon, S. P., Harrison, S. J., Jenkinson, M., Baxter, L., Robinson, E. C., Bastiani, M., Bozek, J., Karolis, V., Cordero Grande, L., Price, A. N., Hughes, E., Makropoulos, A., Passerat-Palmbach, J., Schuh, A., Gao, J., Farahibozorg, S. R., O'Muircheartaigh, J., Ciarrusta, J., O'Keeffe, C., Brandon, J. & 7 others, Arichi, T., Rueckert, D., Hajnal, J. V., Edwards, A. D., Smith, S. M., Duff, E. & Andersson, J., Dec 2020, In: NeuroImage. 223, 117303.

    Research output: Contribution to journalArticlepeer-review

  13. Cortical morphology at birth reflects spatiotemporal patterns of gene expression in the fetal human brain

    Ball, G., Seidlitz, J., O’Muircheartaigh, J., Dimitrova, R., Fenchel, D., Makropoulos, A., Christiaens, D., Schuh, A., Passerat-Palmbach, J., Hutter, J., Cordero-Grande, L., Hughes, E., Price, A., Hajnal, J. V., Rueckert, D., Robinson, E. C. & Edwards, A. D., 23 Nov 2020, (E-pub ahead of print) In: PLoS Biology. 18, 11, e3000976.

    Research output: Contribution to journalArticlepeer-review

  14. Non-negative data-driven mapping of structural connections with application to the neonatal brain

    Thompson, E., Mohammadi-Nejad, A. R., Robinson, E. C., Andersson, J. L. R., Jbabdi, S., Glasser, M. F., Bastiani, M. & Sotiropoulos, S. N., 15 Nov 2020, In: NeuroImage. 222, 117273.

    Research output: Contribution to journalArticlepeer-review

  15. Development of Microstructural and Morphological Cortical Profiles in the Neonatal Brain

    Fenchel, D., Dimitrova, R., Seidlitz, J., Robinson, E., Batalle, D., Hutter, J., Christiaens, D., Pietsch, M., Brandon, J., Hughes, E., Allsop, J., O'Keeffe, C., Price, A., Cordero-Grande, L., Schuh, A., Makropoulos, A., Passerat-Palmbach, J., Bozek, J., Rueckert, D., Hajnal, J. & 4 others, Raznahan, A., McAlonan, G., Edwards, D. & O'Muircheartaigh, J., 1 Nov 2020, In: Cerebral Cortex. 30, 11, p. 5767–5779 13 p., 30.

    Research output: Contribution to journalArticlepeer-review

  16. Cross-species cortical alignment identifies different types of anatomical reorganization in the primate temporal lobe

    Eichert, N., Robinson, E. C., Bryant, K. L., Jbabdi, S., Jenkinson, M., Li, L., Krug, K., Watkins, K. E. & Mars, R. B., 23 Mar 2020, In: eLife. 9, e53232.

    Research output: Contribution to journalArticlepeer-review

  17. Modelling brain development to detect white matter injury in term and preterm born neonates

    O'Muircheartaigh, J., Robinson, E., Pietsch, M., Wolfers, T., Aljabar, P., Cordero Grande, L., Gomes Teixeira, R., Bozek, J., Schuh, A., Makropoulos, A., Batalle, D., Vecchiato, K., Steinweg, J. K., Fitzgibbon, S., Hughes, E., Price, A., Marquand, A., Rueckert, D., Rutherford, M., Hajnal, J. & 2 others, Counsell, S. J. & Edwards, D., 1 Feb 2020, In: Brain : a journal of neurology. 143, 2, p. 467-479 13 p.

    Research output: Contribution to journalArticlepeer-review

  18. Surface Agnostic Metrics for Cortical Volume Segmentation and Regression

    Budd, S., Patkee, P., Baburamani, A., Rutherford, M., Robinson, E. C. & Kainz, B., 2020, Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology - 3rd International Workshop, MLCN 2020, and Second International Workshop, RNO-AI 2020, Held in Conjunction with MICCAI 2020, Proceedings. Kia, S. M., Mohy-ud-Din, H., Abdulkadir, A., Bass, C., Habes, M., Rondina, J. M., Tax, C., Wang, H., Wolfers, T., Rathore, S. & Ingalhalikar, M. (eds.). Springer Science and Business Media Deutschland GmbH, p. 3-12 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12449 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review

  19. Confident head circumference measurement from ultrasound with real-time feedback for sonographers

    Budd, S., Sinclair, M., Khanal, B., Matthew, J., Lloyd, D., Gomez, A., Toussaint, N., Robinson, E. C. & Kainz, B., 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. 683-691 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 paperpeer-review

  20. Preface PIPPI 2019

    Hutter, J., Licandro, R., Robinson, E., Christiaens, D., Abaci Turk, E. & Melbourne, A., 1 Jan 2019, In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 11798 LNCS, p. vii

    Research output: Contribution to journalEditorialpeer-review

  21. Construction of a neonatal cortical surface atlas using Multimodal Surface Matching in the Developing Human Connectome Project

    Bozek, J., Makropoulos, A., Schuh, A., Fitzgibbon, S., Wright, R., Glasser, M. F., Coalson, T. S., O'Muircheartaigh, J., Hutter, J., Price, A. N., Cordero-Grande, L., Teixeira, R. P. A. G., Hughes, E., Tusor, N., Baruteau, K. P., Rutherford, M. A., Edwards, A. D., Hajnal, J. V., Smith, S. M., Rueckert, D. & 2 others, Jenkinson, M. & Robinson, E. C., 1 Oct 2018, In: NeuroImage. 179, p. 11-29 19 p.

    Research output: Contribution to journalArticlepeer-review

  22. Extending the human connectome project across ages: Imaging protocols for the Lifespan development and aging projects

    Harms, M. P., Somerville, L. H., Ances, B. M., Andersson, J., Barch, D. M., Bastiani, M., Bookheimer, S. Y., Brown, T. B., Buckner, R. L., Burgess, G. C., Coalson, T. S., Chappell, M. A., Dapretto, M., Douaud, G., Fischl, B., Glasser, M. F., Greve, D. N., Hodge, C., Jamison, K. W., Jbabdi, S. & 21 others, Kandala, S., Li, X., Mair, R. W., Mangia, S., Marcus, D., Mascali, D., Moeller, S., Nichols, T. E., Robinson, E. C., Salat, D. H., Smith, S. M., Sotiropoulos, S. N., Terpstra, M., Thomas, K. M., Tisdall, M. D., Ugurbil, K., van der Kouwe, A., Woods, R. P., Zöllei, L., Van Essen, D. C. & Yacoub, E., 24 Sep 2018, (E-pub ahead of print) In: NeuroImage.

    Research output: Contribution to journalArticlepeer-review

  23. The Developing Human Connectome Project: a Minimal Processing Pipeline for Neonatal Cortical Surface Reconstruction

    Makropoulos, A., Robinson, E. C., Schuh, A., Wright, R., Fitzgibbon, S., Bozek, J., Counsell, S. J., Steinweg, J., Vecchiato, K., Passerat-Palmbach, J., Lenz, G., Mortari, F., Tenev, T., Duff, E. P., Bastiani, M., Cordero Grande, L., Hughes, E. J., Tusor, N., Tournier, J-D., Hutter, J. & 11 others, Price, A. N., A. G. Teixeira, R. P., Murgasova, M., Victor, S., Kelly, C. J., Rutherford, M. A., Smith, S. M., Edwards, A. D., Hajnal, J. V., Jenkinson, M. & Rueckert, D., Jun 2018, In: NeuroImage. 173, p. 88-112

    Research output: Contribution to journalArticlepeer-review

  24. Human brain mapping: A systematic comparison of parcellation methods for the human cerebral cortex

    Arslan, S., Ktena, S. I., Makropoulos, A., Robinson, E. C., Rueckert, D. & Parisot, S., 15 Apr 2018, In: NeuroImage. 170, p. 5-30 26 p.

    Research output: Contribution to journalReview articlepeer-review

  25. Dynamic patterns of cortical expansion during folding of the preterm human brain

    Garcia, K., Robinson, E., Alexopoulos, D., Dierker, D. L., Glasser, M. F., Coalson, T. S., Ortinau, C. M., Rueckert, D., Taber, L. A., Van Essen, D., Rogers, C. E., Smyser, C. D. & Bayley, P., 20 Mar 2018, In: Proceedings of the National Academy of Sciences of the United States of America. 115, 12, p. 3156-3161

    Research output: Contribution to journalArticlepeer-review

  26. The relationship between spatial configuration and functional connectivity of brain regions

    Bijsterbosch, J. D., Woolrich, M. W., Glasser, M. F., Robinson, E. C., Beckmann, C. F., Van Essen, D. C., Harrison, S. J. & Smith, S. M., 20 Mar 2018, In: eLife. 7, p. 1-27 27 p.

    Research output: Contribution to journalArticlepeer-review

  27. Multimodal Surface Matching with Higher-Order Smoothness Constraints

    Robinson, E. C., Feb 2018, In: NeuroImage. 167, p. 453-465

    Research output: Contribution to journalArticlepeer-review

  28. Preface PIPPI 2018

    Melbourne, A., Licandro, R., Aughwane, R., Moeskops, P., Robinson, E., Schwartz, E. & Makropoulos, A., 1 Jan 2018, In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 11076 LNCS, p. VII

    Research output: Contribution to journalEditorialpeer-review

  29. A deformable model for the reconstruction of the neonatal cortex

    Schuh, A., Makropoulos, A., Wright, R., Robinson, E. C., Tusor, N., Steinweg, J., Hughes, E., Cordero Grande, L., Price, A., Hutter, J., Hajnal, J. V. & Rueckert, D., 19 Jun 2017, (E-pub ahead of print) 2017 IEEE 14th International Symposium on Biomedical Imaging, ISBI 2017. IEEE Computer Society, p. 800-803 4 p.

    Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review

  30. Preface FIFI 2017

    Melbourne, A., Moeskops, P., Schwartz, E., Robinson, E., Ebner, M., Makropoulos, A., Desjardins, A. & Vercauteren, T., 1 Jan 2017, In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 10554 LNCS

    Research output: Contribution to journalEditorialpeer-review

  31. The Human Connectome Project's neuroimaging approach

    Glasser, M. F., Smith, S. M., Marcus, D. S., Andersson, J. L. R., Auerbach, E. J., Behrens, T. E. J., Coalson, T. S., Harms, M. P., Jenkinson, M., Moeller, S., Robinson, E. C., Sotiropoulos, S. N., Xu, J., Yacoub, E., Ugurbil, K. & Van Essen, D. C., 26 Aug 2016, In: Nature Neuroscience. 19, 9, p. 1175-87 13 p.

    Research output: Contribution to journalReview articlepeer-review

  32. A multi-modal parcellation of human cerebral cortex

    Glasser, M. F., Coalson, T. S., Robinson, E. C., Hacker, C. D., Harwell, J., Yacoub, E., Ugurbil, K., Andersson, J., Beckmann, C. F., Jenkinson, M., Smith, S. M. & Van Essen, D. C., 11 Aug 2016, In: Nature. 536, 7615, p. 171-178 8 p.

    Research output: Contribution to journalArticlepeer-review

  33. MSM: A new flexible framework for Multimodal Surface Matching

    Robinson, E. C., Jbabdi, S., Glasser, M. F., Andersson, J., Burgess, G. C., Harms, M. P., Smith, S. M., Van Essen, D. C. & Jenkinson, M., 15 Oct 2014, In: NeuroImage. 100, p. 414-426

    Research output: Contribution to journalArticlepeer-review

  34. Rich-club organization of the newborn human brain

    Ball, G., Aljabar, P., Zebari, S., Tusor, N., Arichi, T., Merchant, N., Robinson, E. C., Ogundipe, E., Rueckert, D., Edwards, A. D. & Counsell, S. J., 20 May 2014, In: Proceedings of the National Academy of Sciences of the United States of America. 111, 20, p. 7456-7461 6 p.

    Research output: Contribution to journalArticlepeer-review

  35. Whole-brain mapping of structural connectivity in infants reveals altered connection strength associated with growth and preterm birth

    Pandit, A. S., Robinson, E., Aljabar, P., Ball, G., Gousias, I. S., Wang, Z., Hajnal, J. V., Rueckert, D., Counsell, S. J., Montana, G. & Edwards, A. D., 31 Mar 2013, In: Cerebral Cortex. 24, 9, p. 2324-2333 10 p.

    Research output: Contribution to journalArticlepeer-review

  36. A probabilistic framework to infer brain functional connectivity from anatomical connections

    Deligianni, F., Varoquaux, G., Thirion, B., Robinson, E., Sharp, D. J., Edwards, A. D. & Rueckert, D., 2011, In: Inf Process Med Imaging. 22, p. 296-307 12 p.

    Research output: Contribution to journalArticlepeer-review

  37. Identifying population differences in whole-brain structural networks: A machine learning approach

    Robinson, E. C., Hammers, A., Ericsson, A., Edwards, A. D. & Rueckert, D., 15 Apr 2010, In: NeuroImage. 50, 3, p. 910-919 10 p.

    Research output: Contribution to journalArticlepeer-review

  38. Multivariate statistical analysis of whole brain structural networks obtained using probabilistic tractography

    Robinson, E. C., Valstar, M., Hammers, A., Ericsson, A., Edwards, A. D. & Rueckert, D., 2008, Medical Image Computing and Computer-Assisted Intervention – MICCAI 2008: 11th International Conference, New York, NY, USA, September 6-10, 2008, Proceedings, Part I. Springer, p. 486-493 8 p. (Lecture Notes in Computer Science; vol. 5241).

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

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