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Research Outputs

  1. 2019
  2. Cardiac monocytes and macrophages after myocardial infarction

    Peet, C., Ivetic, A., Bromage, D. I. & Shah, A. M., 16 Dec 2019, In : Cardiovascular Research. cvz336.

    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. Semantic computational analysis of anticoagulation use in atrial fibrillation from real world data

    Bean, D., Teo, J., Wu, H., Oliveira, R., Patel, R., Bendayan, R., Shah, A. M., Dobson, R. J. B. & Scott, P. A., 25 Nov 2019, In : PLOS One. 14, 11, e0225625.

    Research output: Contribution to journalArticle

  5. Association of troponin level and age with mortality in 250 000 patients: cohort study across five UK acute care centres

    Kaura, A., Panoulas, V., Glampson, B., Davies, J., Mulla, A., Woods, K., Omigie, J., Shah, A. D., Channon, K. M., Weber, J. N., Thursz, M. R., Elliott, P., Hemingway, H., Williams, B., Asselbergs, F., O'Sullivan, M., Kharbanda, R., Lord, G. M., Melikian, N., Patel, R. S. & 4 others, Perera, D., Shah, A. M., Francis, D. P. & Mayet, J., 20 Nov 2019, In : BMJ (Clinical research ed.). 367, p. l6055 l6055.

    Research output: Contribution to journalArticle

  6. Prelamin A mediates myocardial inflammation in dilated and HIV-Associated cardiomyopathies

    Brayson, D., Frustaci, A., Verardo, R., Chimenti, C., Russo, M. A., Hayward, R., Ahmad, S. M., Vizcay-barrena, G., Protti, A., Zammit, P. S., Dos Remedios, C. G., Ehler, E., Shah, A. M. & Shanahan, C. M., 14 Nov 2019, In : JCI Insight. 4, 22, e126315.

    Research output: Contribution to journalArticle

  7. Therapies to limit myocardial injury in animal models of myocarditis: a systematic review and meta-analysis

    Silverblatt, J. A., Ziff, O. J., Dancy, L., Daniel, A., Carter, B. R., Scott, P. A., Sado, D., Shah, A. M. & Bromage, D. I., Nov 2019, In : Basic Research in Cardiology. 114, 6, 48.

    Research output: Contribution to journalArticle

  8. Assessing the role of extracellular signal-regulated kinases 1 and 2 in volume overload-induced cardiac remodelling

    Jochmann, S., Elkenani, M., Mohamed, B. A., Buchholz, E., Lbik, D., Binder, L., Lorenz, K., Shah, A. M., Hasenfuß, G., Toischer, K. & Schnelle, M., 1 Oct 2019, In : ESC Heart Failure. 6, 5, p. 1015-1026 12 p.

    Research output: Contribution to journalArticle

  9. 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

  10. 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

  11. 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

  12. 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

  13. Single-cell transcriptome analyses reveal novel targets modulating cardiac neovascularization by resident endothelial cells following myocardial infarction

    Li, Z., Solomonidis, E. G., Meloni, M., Taylor, R. S., Duffin, R., Dobie, R., Magalhaes, M. S., Henderson, B. E. P., Louwe, P. A., D'Amico, G., Hodivala-Dilke, K. M., Shah, A. M., Mills, N. L., Simons, B. D., Gray, G. A., Henderson, N. C., Baker, A. H. & Brittan, M., 7 Aug 2019, In : European Heart Journal. 40, 30, p. 2507-2520 14 p.

    Research output: Contribution to journalArticle

  14. 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

  15. 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

  16. The continuous heart failure spectrum: moving beyond an ejection fraction classification

    Triposkiadis, F., Butler, J., Abboud, F. M., Armstrong, P. W., Adamopoulos, S., Atherton, J. J., Backs, J., Bauersachs, J., Burkhoff, D., Bonow, R. O., Chopra, V. K., de Boer, R. A., de Windt, L., Hamdani, N., Hasenfuss, G., Heymans, S., Hulot, J. S., Konstam, M., Lee, R. T., Linke, W. A. & 22 others, Lunde, I. G., Lyon, A. R., Maack, C., Mann, D. L., Mebazaa, A., Mentz, R. J., Nihoyannopoulos, P., Papp, Z., Parissis, J., Pedrazzini, T., Rosano, G., Rouleau, J., Seferovic, P. M., Shah, A. M., Starling, R. C., Tocchetti, C. G., Trochu, J. N., Thum, T., Zannad, F., Brutsaert, D. L., Segers, V. F. & De Keulenaer, G. W., 1 Jul 2019, In : European Heart Journal. 40, 26, p. 2155-2163B 9 p.

    Research output: Contribution to journalReview article

  17. Oxidation of PKGIα mediates an endogenous adaptation to pulmonary hypertension

    Rudyk, O., Rowan, A., Prysyazhna, O., Krasemann, S., Hartmann, K., Zhang, M., Shah, A. M., Ruppert, C., Weiss, A., Schermuly, R. T., Ida, T., Akaike, T., Zhao, L. & Eaton, P., 25 Jun 2019, In : PNAS. 116, 26, p. 13016-13025 10 p.

    Research output: Contribution to journalArticle

  18. Metabolically activated adipose tissue macrophages link obesity to triple-negative breast cancer

    Tiwari, P., Blank, A., Cui, C., Schoenfelt, K. Q., Zhou, G., Xu, Y., Khramtsova, G., Olopade, F., Shah, A. M., Khan, S. A., Rosner, M. R. & Becker, L., 3 Jun 2019, In : The Journal of experimental medicine. 216, 6, p. 1345-1358 14 p.

    Research output: Contribution to journalArticle

  19. 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

  20. Effect of Iron Isomaltoside on Skeletal Muscle Energetics in Patients with Chronic Heart Failure and Iron Deficiency: FERRIC-HF II Randomized Mechanistic Trial

    Charles-Edwards, G., Amaral, N., Sleigh, A., Ayis, S., Catibog, N., McDonagh, T., Monaghan, M., Amin-Youseff, G., Kemp, G. J., Shah, A. M. & Okonko, D. O., 21 May 2019, In : Circulation. 139, 21, p. 2386-2398 13 p.

    Research output: Contribution to journalArticle

  21. Cardioprotective Effect of the Mitochondrial Unfolded Protein Response During Chronic Pressure Overload

    Smyrnias, I., Gray, S. P., Okonko, D. O., Sawyer, G., Zoccarato, A., Catibog, N., López, B., González, A., Ravassa, S., Díez, J. & Shah, A. M., 16 Apr 2019, In : Journal of the American College of Cardiology. 73, 14, p. 1795 - 1806 12 p.

    Research output: Contribution to journalArticle

  22. 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

  23. 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

  24. 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

  25. 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

  26. Paracrine Mechanisms of Redox Signalling for Postmitotic Cell and Tissue Regeneration

    Hervera, A., Santos, C. X., De Virgiliis, F., Shah, A. M. & Di Giovanni, S., 19 Feb 2019, In : Trends in cell biology. 29, 6, p. 514-530 17 p.

    Research output: Contribution to journalReview article

  27. 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

  28. A machine learning approach for the prediction of pulmonary hypertension

    Leha, A., Hellenkamp, K., Unsöld, B., Mushemi-Blake, S., Shah, A. M., Hasenfuß, G. & Seidler, T., 1 Jan 2019, In : PLoS ONE. 14, 10, e0224453.

    Research output: Contribution to journalArticle

  29. 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

  30. 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

  31. 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

  32. 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

  33. 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

  34. 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

  35. 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

  36. 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

  37. 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

  38. 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

  39. Tolerizing CTL by sustained hepatic PD-L1 expression provides a new therapy approach in mouse sepsis

    Von Knethen, A., Schäfer, A., Kuchler, L., Knape, T., Christen, U., Hintermann, E., Fißlthaler, B., Schröder, K., Brandes, R. P., Genz, B., Abshagen, K., Pützer, B. M., Sha, L. K., Weigert, A., Syed, S. N., Schulz, M., Shah, A. M., Ernst, A., Putyrski, M., Finkelmeier, F. & 7 others, Pesic, M., Greten, F., Hogardt, M., Kempf, V. A. J., Gunne, S., Parnham, M. J. & Brüne, B., 1 Jan 2019, In : Theranostics. 9, 7, p. 2003-2016 14 p.

    Research output: Contribution to journalArticle

  40. 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

  41. 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

  42. 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

  43. Magnetic Resonance Perfusion or Fractional Flow Reserve in Coronary Disease

    Nagel, E., Greenwood, J. P., McCann, G. P., Bettencourt, N., Shah, A. M., Hussain, S. T., Perera, D., Plein, S., Bucciarelli-Ducci, C., Paul, M., Westwood, M. A., Marber, M. & Investigators, MR-INFORM., 2019, In : New England Journal of Medicine. 380, 25, p. 2418-2428 11 p.

    Research output: Contribution to journalArticle

  44. 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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