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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. Learning to see the invisible: A data-driven approach to finding the underlying patterns of abnormality in visually normal brain magnetic resonance images in patients with temporal lobe epilepsy

    Bennett, O. F., Kanber, B., Hoskote, C., Cardoso, M. J., Ourselin, S., Duncan, J. S. & Winston, G. P., 1 Dec 2019, In : Epilepsia. 60, 12, p. 2499-2507 9 p.

    Research output: Contribution to journalArticle

  4. 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

  5. Cortical cerebral blood flow in ageing: effects of haematocrit, sex, ethnicity and diabetes

    Smith, L. A., Melbourne, A., Owen, D., Cardoso, M. J., Sudre, C. H., Tillin, T., Sokolska, M., Atkinson, D., Chaturvedi, N., Ourselin, S., Hughes, A. D., Barkhof, F. & Jäger, H. R., 1 Oct 2019, In : European Radiology. 29, 10, p. 5549-5558 10 p.

    Research output: Contribution to journalArticle

  6. Stochastic filter groups for multi-task cnns: Learning specialist and generalist convolution kernels

    Bragman, F., Tanno, R., Ourselin, S., Alexander, D. & Cardoso, J., Oct 2019, Proceedings - 2019 International Conference on Computer Vision, ICCV 2019. Institute of Electrical and Electronics Engineers Inc., p. 1385-1394 10 p. 9009037. (Proceedings of the IEEE International Conference on Computer Vision; vol. 2019-October).

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

  7. 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

  8. The quantitative neuroradiology initiative framework: application to dementia

    Goodkin, O., Pemberton, H., Vos, S. B., Prados, F., Sudre, C. H., Moggridge, J., Cardoso, M. J., Ourselin, S., Bisdas, S., White, M., Yousry, T., Thornton, J. & Barkhof, F., Sep 2019, In : British Journal of Radiology. 92, 1101, p. 20190365 20190365.

    Research output: Contribution to journalReview article

  9. Multi-Domain Adaptation in Brain MRI through Paired Consistency and Adversarial Learning

    Orbes-Arteaga, M., Varsavsky, T., Sudre, C. H., Eaton-Rosen, Z., Haddow, L. J., Sørensen, L., Nielsen, M., Pai, A., Ourselin, S., Modat, M., Nachev, P. & Cardoso, M. J., 16 Aug 2019, In : DART 2019. p. 54-62 9 p.

    Research output: Contribution to journalArticle

  10. As easy as 1, 2... 4? Uncertainty in counting tasks for medical imaging

    Eaton-Rosen, Z., Varsavsky, T., Ourselin, S. & Cardoso, M. J., 25 Jul 2019, In : Medical Image Computing and Computer Assisted Intervention -- MICCAI. p. 356-364 9 p.

    Research output: Contribution to journalArticle

  11. Longitudinal neuroanatomical and cognitive progression of posterior cortical atrophy

    Firth, N. C., Primativo, S., Marinescu, R. V., Shakespeare, T. J., Suarez-Gonzalez, A., Lehmann, M., Carton, A., Ocal, D., Pavisic, I., Paterson, R. W., Slattery, C. F., Foulkes, A. J. M., Ridha, B. H., Gil-Néciga, E., Oxtoby, N. P., Young, A. L., Modat, M., Cardoso, M. J., Ourselin, S., Ryan, N. S. & 10 others, Miller, B. L., Rabinovici, G. D., Warrington, E. K., Rossor, M. N., Fox, N. C., Warren, J. D., Alexander, D. C., Schott, J. M., Yong, K. X. X. & Crutch, S. J., 1 Jul 2019, In : Brain. 142, 7, p. 2082-2095 14 p.

    Research output: Contribution to journalArticle

  12. Applying causal models to explore the mechanism of action of simvastatin in progressive multiple sclerosis

    Eshaghi, A., Kievit, R. A., Prados, F., Sudre, C. H., Nicholas, J., Cardoso, M. J., Chan, D., Nicholas, R., Ourselin, S., Greenwood, J., Thompson, A. J., Alexander, D. C., Barkhof, F., Chataway, J. & Ciccarelli, O., 28 May 2019, In : Proceedings of the National Academy of Sciences of the United States of America. 116, 22, p. 11020-11027 8 p.

    Research output: Contribution to journalArticle

  13. 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

  14. Training recurrent neural networks robust to incomplete data: Application to Alzheimer's disease progression modeling

    for the Alzheimer's Disease Neuroimaging Initiative, Apr 2019, In : Medical Image Analysis. 53, p. 39-46 8 p.

    Research output: Contribution to journalArticle

  15. Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge

    Kuijf, H. J., Biesbroek, J. M., De Bresser, J., Heinen, R., Andermatt, S., Bento, M., Berseth, M., Belyaev, M., Cardoso, M. J., Casamitjana, A., Collins, D. L., Dadar, M., Georgiou, A., Ghafoorian, M., Jin, D., Khademi, A., Knight, J., Li, H., Llado, X., Luna, M. & 24 others, Mahmood, Q., Mckinley, R., Mehrtash, A., Ourselin, S., Park, B., Park, H., Park, S. H., Pezold, S., Puybareau, E., Rittner, L., Sudre, C. H., Valverde, S., Vilaplana, V., Wiest, R., Xu, Y., Xu, Z., Zeng, G., Zhang, J., Zheng, G., Chen, C., Van Der Flier, W., Barkhof, F., Viergever, M. A. & Biessels, G. J., 19 Mar 2019, In : IEEE transactions on medical imaging. 38, 11, p. 2556-2568 13 p.

    Research output: Contribution to journalArticle

  16. PADDIT: Probabilistic Augmentation of Data using Diffeomorphic Image Transformation

    Orbes-Arteaga, M., Sørensen, L., Cardoso, J., Modat, M., Ourselin, S., Sommer, S., Nielsen, M., Igel, C. & Pai, A., 15 Mar 2019, Medical Imaging 2019: Image Processing. Angelini, E. D., Angelini, E. D., Angelini, E. D. & Landman, B. A. (eds.). SPIE, Vol. 10949. 109490S

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

  17. 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

  18. 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

  19. A large annotated medical image dataset for the development and evaluation of segmentation algorithms

    Simpson, A. L., Antonelli, M., Bakas, S., Bilello, M., Farahani, K., Ginneken, B. V., Kopp-Schneider, A., Landman, B. A., Litjens, G., Menze, B., Ronneberger, O., Summers, R. M., Bilic, P., Christ, P. F., Do, R. K. G., Gollub, M., Golia-Pernicka, J., Heckers, S. H., Jarnagin, W. R., McHugo, M. K. & 4 others, Napel, S., Vorontsov, E., Maier-Hein, L. & Cardoso, M. J., 25 Feb 2019, ( arXiv).

    Research output: Working paperPre-print

  20. GAS: A genetic atlas selection strategy in multi-atlas segmentation framework

    Antonelli, M., Cardoso, M. J., Johnston, E. W., Appayya, M. B., Presles, B., Modat, M., Punwani, S. & Ourselin, S., 1 Feb 2019, In : Medical Image Analysis. 52, p. 97-108 12 p.

    Research output: Contribution to journalArticle

  21. Comorbid amyloid-β pathology affects clinical and imaging features in VCD

    Leijenaar, J. F., Groot, C., Sudre, C. H., Bergeron, D., Leeuwis, A. E., Cardoso, M. J., Carrasco, F. P., Laforce, R., Barkhof, F., van der Flier, W. M., Scheltens, P., Prins, N. D. & Ossenkoppele, R., 1 Jan 2019, In : Alzheimer's and Dementia.

    Research output: Contribution to journalArticle

  22. Hippocampal profiling: Localized magnetic resonance imaging volumetry and T2 relaxometry for hippocampal sclerosis

    Vos, S. B., Winston, G. P., Goodkin, O., Pemberton, H. G., Barkhof, F., Prados, F., Galovic, M., Koepp, M., Ourselin, S., Cardoso, M. J. & Duncan, J. S., 1 Jan 2019, In : Epilepsia.

    Research output: Contribution to journalArticle

  23. Improved MR to CT synthesis for pet/mr attenuation correction using imitation learning

    Kläser, K., Varsavsky, T., Markiewicz, P., Vercauteren, T., Atkinson, D., Thielemans, K., Hutton, B., Cardoso, M. J. & Ourselin, S., 1 Jan 2019, Simulation and Synthesis in Medical Imaging - 4th International Workshop, SASHIMI 2019, Held in Conjunction with MICCAI 2019, Proceedings. Burgos, N., Gooya, A. & Svoboda, D. (eds.). SPRINGER, p. 13-21 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11827 LNCS).

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

  24. Knowledge Distillation for Semi-supervised Domain Adaptation

    Orbes-Arteainst, M., Cardoso, J., Sørensen, L., Igel, C., Ourselin, S., Modat, M., Nielsen, M. & Pai, A., 1 Jan 2019, OR 2.0 Context-Aware Operating Theaters and Machine Learning in Clinical Neuroimaging - 2nd International Workshop, OR 2.0 2019, and 2nd International Workshop, MLCN 2019, Held in Conjunction with MICCAI 2019, Proceedings. Zhou, L., Sarikaya, D., Kia, S. M., Speidel, S., Malpani, A., Hashimoto, D., Habes, M., Löfstedt, T., Ritter, K. & Wang, H. (eds.). SPRINGER, p. 68-76 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11796 LNCS).

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

  25. Let’s agree to disagree: Learning highly debatable multirater labelling

    Sudre, C. H., Anson, B. G., Ingala, S., Lane, C. D., Jimenez, D., Haider, L., Varsavsky, T., Tanno, R., Smith, L., Ourselin, S., Jäger, R. H. & Cardoso, M. J., 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. 665-673 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

  26. On the initialization of long short-term memory networks

    Mehdipour Ghazi, M., Nielsen, M., Pai, A., Modat, M., Cardoso, M. J., Ourselin, S. & Sørensen, L., 1 Jan 2019, Neural Information Processing - 26th International Conference, ICONIP 2019, Proceedings. Gedeon, T., Wong, K. W. & Lee, M. (eds.). SPRINGER, p. 275-286 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11953 LNCS).

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

  27. Physics-informed brain MRI segmentation

    Borges, P., Sudre, C., Varsavsky, T., Thomas, D., Drobnjak, I., Ourselin, S. & Cardoso, M. J., 1 Jan 2019, Simulation and Synthesis in Medical Imaging - 4th International Workshop, SASHIMI 2019, Held in Conjunction with MICCAI 2019, Proceedings. Burgos, N., Gooya, A. & Svoboda, D. (eds.). SPRINGER, p. 100-109 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11827 LNCS).

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

  28. Prion disease diagnosis using subject-specific imaging biomarkers within a multi-kernel Gaussian process

    Canas, L. S., Sudre, C. H., De Vita, E., Nihat, A., Mok, T. H., Slattery, C. F., Paterson, R. W., Foulkes, A. J. M., Hyare, H., Cardoso, M. J., Thornton, J., Schott, J. M., Barkhof, F., Collinge, J., Ourselin, S., Mead, S. & Modat, M., 1 Jan 2019, In : NeuroImage: Clinical. 24, 102051.

    Research output: Contribution to journalArticle

  29. Privacy-Preserving Federated Brain Tumour Segmentation

    Li, W., Milletarì, F., Xu, D., Rieke, N., Hancox, J., Zhu, W., Baust, M., Cheng, Y., Ourselin, S., Cardoso, M. J. & Feng, A., 1 Jan 2019, Machine Learning in Medical Imaging - 10th International Workshop, MLMI 2019, Held in Conjunction with MICCAI 2019, Proceedings. Suk, H-I., Liu, M., Lian, C. & Yan, P. (eds.). SPRINGER, p. 133-141 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11861 LNCS).

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

  30. Study the longitudinal in vivo and cross-sectional ex vivo brain volume difference for disease progression and treatment effect on mouse model of tauopathy using automated MRI structural parcellation

    Ma, D., Holmes, H. E., Cardoso, M. J., Modat, M., Harrison, I. F., Powell, N. M., O'Callaghan, J. M., Ismail, O., Johnson, R. A., O'Neill, M. J., Collins, E. C., Beg, M. F., Popuri, K., Lythgoe, M. F. & Ourselin, S., 1 Jan 2019, In : Frontiers in Neuroscience. 13, 11.

    Research output: Contribution to journalArticle

  31. Towards Quantifying Neurovascular Resilience

    Moriconi, S., Rehwald, R., Zuluaga, M. A., Jäger, H. R., Nachev, P., Ourselin, S. & Cardoso, M. J., 1 Jan 2019, Machine Learning and Medical Engineering for Cardiovascular Health and Intravascular Imaging and Computer Assisted Stenting - 1st International Workshop, MLMECH 2019, and 8th Joint International Workshop, CVII-STENT 2019, Held in Conjunction with MICCAI 2019, Proceedings. Liao, H., Wang, G., Liu, Y., Ding, Z., Balocco, S., Zhang, F., Duong, L., Phellan, R., Zahnd, G., Albarqouni, S., Demirci, S., Breininger, K., Moriconi, S. & Lee, S-L. (eds.). SPRINGER, p. 149-157 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11794 LNCS).

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

  32. White matter hyperintensities in progranulin-associated frontotemporal dementia: A longitudinal GENFI study

    Sudre, C. H., Bocchetta, M., Heller, C., Convery, R., Neason, M., Moore, K. M., Cash, D. M., Thomas, D. L., Woollacott, I. O. C., Foiani, M., Heslegrave, A., Shafei, R., Greaves, C., van Swieten, J., Moreno, F., Sanchez-Valle, R., Borroni, B., Laforce, R., Masellis, M., Tartaglia, M. C. & 21 others, Graff, C., Galimberti, D., Rowe, J. B., Finger, E., Synofzik, M., Vandenberghe, R., de Mendonça, A., Tagliavini, F., Santana, I., Ducharme, S., Butler, C., Gerhard, A., Levin, J., Danek, A., Frisoni, G. B., Sorbi, S., Otto, M., Zetterberg, H., Ourselin, S., Cardoso, M. J. & Rohrer, J. D., 1 Jan 2019, In : NeuroImage: Clinical. 24, 102077.

    Research output: Contribution to journalArticle

  33. 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

  34. Learning task-specific and shared representations in medical imaging

    Bragman, F. J. S., Tanno, R., Ourselin, S., Alexander, D. C. & Cardoso, M. J., 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. 374-383 10 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 contribution

  35. Spatial patterns of white matter hyperintensities associated with Alzheimer's disease risk factors in a cognitively healthy middle-aged cohort

    Salvadó, G., Brugulat-Serrat, A., Sudre, C. H., Grau-Rivera, O., Suárez-Calvet, M., Falcon, C., Fauria, K., Cardoso, M. J., Barkhof, F., Molinuevo, J. L. & Gispert, J. D., 2019, In : Alzheimer's Research and Therapy. 11, 1, p. 1-14 12.

    Research output: Contribution to journalArticle

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