King's College London

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Research Outputs

  1. 2019
  2. 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 othersMiller, 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

  3. Super-resolution for upper abdominal MRI: Acquisition and post-processing protocol optimization using brain MRI control data and expert reader validation

    Ebner, M., Patel, P. A., Atkinson, D., Caselton, L., Firmin, L., Amin, Z., Bainbridge, A., De Coppi, P., Taylor, S. A., Ourselin, S., Chouhan, M. D. & Vercauteren, T., 1 Jul 2019, In : Magnetic Resonance in Medicine. 82, 5, p. 1905-1919 15 p.

    Research output: Contribution to journalArticle

  4. Machine learning classifiers can predict Gleason pattern 4 prostate cancer with greater accuracy than experienced radiologists

    Antonelli, M., Johnston, E. W., Dikaios, N., Cheung, K. K., Sidhu, H. S., Appayya, M. B., Giganti, F., Simmons, L. A. M., Freeman, A., Allen, C., Ahmed, H. U., Atkinson, D., Ourselin, S. & Punwani, S., 11 Jun 2019, In : European Radiology.

    Research output: Contribution to journalArticle

  5. Modeling longitudinal imaging biomarkers with parametric Bayesian multi-task learning

    for ADNI, 5 Jun 2019, In : Human Brain Mapping. 40, 13, p. 3982-4000 19 p.

    Research output: Contribution to journalArticle

  6. 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

  7. Automated fiber tract reconstruction for surgery planning: Extensive validation in language-related white matter tracts

    Mancini, M., Vos, S. B., Vakharia, V. N., O'Keeffe, A. G., Trimmel, K., Barkhof, F., Dorfer, C., Soman, S., Winston, G. P., Wu, C., Duncan, J. S., Sparks, R. & Ourselin, S., 28 May 2019, In : NeuroImage: Clinical. 23, 9 p., 101883.

    Research output: Contribution to journalArticle

  8. A multi-shell multi-tissue diffusion study of brain connectivity in early multiple sclerosis

    Tur, C., Grussu, F., Prados, F., Charalambous, T., Collorone, S., Kanber, B., Cawley, N., Altmann, D. R., Ourselin, S., Barkhof, F., Clayden, J. D., Toosy, A. T., Wheeler-Kingshott, C. AM. G. & Ciccarelli, O., 10 May 2019, In : Multiple Sclerosis Journal. p. 1-12 12 p.

    Research output: Contribution to journalArticle

  9. Segmentation of medial temporal subregions reveals early right-sided involvement in semantic variant PPA

    Bocchetta, M., Iglesias, J. E., Russell, L. L., Greaves, C. V., Marshall, C. R., Scelsi, M. A., Cash, D. M., Ourselin, S., Warren, J. D. & Rohrer, J. D., 10 May 2019, In : Alzheimer's research & therapy. 11, 1, p. 1-9 41.

    Research output: Contribution to journalArticle

  10. Evaluation of Haptic Feedback on Bimanually Teleoperated Laparoscopy for Endometriosis Surgery

    Portoles Diez, S. J., Borghesan, G., Joyeux, L., Meuleman, C., Deprest, J., Stoyanov, D., Ourselin, S., Vercauteren, T., Reynaerts, D. & Vander Poorten, E., 1 May 2019, In : IEEE Transactions on Biomedical Engineering. 66, 5, p. 1207-1221 15 p., 8469020.

    Research output: Contribution to journalArticle

  11. Intraoperative multispectral and hyperspectral label-free imaging: A systematic review of in vivo clinical studies

    Shapey, J., Xie, Y., Nabavi, E., Bradford, R., Saeed, S. R., Ourselin, S. & Vercauteren, T., 29 Apr 2019, In : Journal of biophotonics. p. e201800455 e201800455.

    Research output: Contribution to journalReview article

  12. Aleatoric uncertainty estimation with test-time augmentation for medical image segmentation with convolutional neural networks

    Wang, G., Li, W., Aertsen, M., Deprest, J., Ourselin, S. & Vercauteren, T., 21 Apr 2019, In : NEUROCOMPUTING. 338, p. 34-45 12 p.

    Research output: Contribution to journalArticle

  13. Cerebellar, limbic, and midbrain volume alterations in sudden unexpected death in epilepsy

    Allen, L. A., Vos, S. B., Kumar, R., Ogren, J. A., Harper, R. K., Winston, G. P., Balestrini, S., Wandschneider, B., Scott, C. A., Ourselin, S., Duncan, J. S., Lhatoo, S. D., Harper, R. M. & Diehl, B., 1 Apr 2019, In : Epilepsia. 60, 4, p. 718-729 12 p.

    Research output: Contribution to journalArticle

  14. Interactive virtual 3D models of renal cancer patient anatomies alter partial nephrectomy surgical planning decisions and increase surgeon confidence compared to volume-rendered images

    Hyde, E. R., Berger, L. U., Ramachandran, N., Hughes-Hallett, A., Pavithran, N. P., Tran, M. G. B., Ourselin, S., Bex, A. & Mumtaz, F. H., 1 Apr 2019, In : International Journal of Computer Assisted Radiology and Surgery. 14, 4, p. 723-732 10 p.

    Research output: Contribution to journalArticle

  15. 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

  16. Standardized Assessment of automatic segmentation of white matter hyperintensities; 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 othersMahmood, 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. p. 1-1

    Research output: Contribution to journalArticle

  17. 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., 18 Mar 2019, In : European Radiology.

    Research output: Contribution to journalArticle

  18. 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. Landman, B. A. & Angelini, E. D. (eds.). SPIE, Vol. 10949. 109490S

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

  19. Association of Piriform Cortex Resection With Surgical Outcomes in Patients With Temporal Lobe Epilepsy

    Galovic, M., Baudracco, I., Wright-Goff, E., Pillajo, G., Nachev, P., Wandschneider, B., Woermann, F., Thompson, P., Baxendale, S., McEvoy, A. W., Nowell, M., Mancini, M., Vos, S. B., Winston, G. P., Sparks, R., Prados, F., Miserocchi, A., de Tisi, J., Van Graan, L. A., Rodionov, R. & 13 othersWu, C., Alizadeh, M., Kozlowski, L., Sharan, A. D., Kini, L. G., Davis, K. A., Litt, B., Ourselin, S., Moshé, S. L., Sander, J. W. A., Löscher, W., Duncan, J. S. & Koepp, M. J., 11 Mar 2019, In : JAMA Neurology. 76, 6, p. 690-700 11 p.

    Research output: Contribution to journalArticle

  20. Early neuropathological and neurobehavioral consequences of preterm birth in a rabbit model

    Van Der Merwe, J., Van Der Veeken, L., Ferraris, S., Gsell, W., Himmelreich, U., Toelen, J., Ourselin, S., Melbourne, A., Vercauteren, T. & Deprest, J., 5 Mar 2019, In : Scientific Reports. 9, 1, p. 3506 3506 .

    Research output: Contribution to journalArticle

  21. Artificial intelligence for the real-time classification of intrapapillary capillary loop patterns in the endoscopic diagnosis of early oesophageal squamous cell carcinoma: A proof-of-concept study

    Everson, M., Herrera, L., Li, W., Luengo, I. M., Ahmad, O., Banks, M., Magee, C., Alzoubaidi, D., Hsu, H., Graham, D., Vercauteren, T., Lovat, L. B., Ourselin, S., Kashin, S., Wang, H., Wang, W. & Haidry, R., 1 Mar 2019, In : United European Gastroenterology Journal. 7, 2, p. 297-306 10 p.

    Research output: Contribution to journalArticle

  22. Placental Perfusion and Fetal Blood Oxygen Saturation Measured with MRI in Normal Pregnancy and Fetal Growth Restriction.

    Aughwane, R., Sokolska, M., Flouri, D., Spencer, R., Maksym, K., Mufti, N., Bainbridge, A., Atkinson, D., Kendall, G., Deprest, J., Vercauteren, T., Ourselin, S., Melbourne, A. & David, A. L., Mar 2019, In : Reproductive Sciences. 26, p. 114A-114A

    Research output: Contribution to journalMeeting Abstract

  23. Enhancing photoacoustic visualization of medical devices with elastomeric nanocomposite coatings

    Xia, W., Noimark, S., Maneas, E., Brown, N. M., Singh, M. K. A., Ourselin, S., West, S. J. & Desjardins, A. E., 27 Feb 2019, Proc. SPIE 10878, Photons Plus Ultrasound: Imaging and Sensing 2019. Oraevsky, A. A. & Wang, L. V. (eds.). SPIE, Vol. 10878. 6 p. 108783G

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

  24. Imaging of human peripheral blood vessels during cuff occlusion with a compact LED-based photoacoustic and ultrasound system

    Xia, W., Maneas, E., Huynh, N. T., Kuniyil Ajith Singh, M., Brown, N. M., Ourselin, S., Gilbert-Kawai, E., West, S. J. & Desjardins, A. E., 27 Feb 2019, Proc. SPIE 10878, Photons Plus Ultrasound: Imaging and Sensing 2019. Oraevsky, A. A. & Wang, L. V. (eds.). SPIE, Vol. 10878. 6 p. 1087804. (Photons Plus Ultrasound: Imaging and Sensing 2019).

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

  25. Clinical relevance of cortical network dynamics in early primary progressive MS

    Tur, C., Kanber, B., Eshaghi, A., Altmann, D. R., Khaleeli, Z., Prados, F., Ourselin, S., Thompson, A. J., Gandini Wheeler-Kingshott, C. A. M., Toosy, A. T. & Ciccarelli, O., 25 Feb 2019, In : Multiple Sclerosis Journal.

    Research output: Contribution to journalArticle

  26. Clinical Applications for Diffusion MRI and Tractography of Cranial Nerves Within the Posterior Fossa: A Systematic Review

    Shapey, J., Vos, S. B., Vercauteren, T., Bradford, R., Saeed, S. R., Bisdas, S. & Ourselin, S., 7 Feb 2019, In : Frontiers in Neuroscience. 13, FEB, 23.

    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. Computer-assisted planning for the insertion of stereoelectroencephalography electrodes for the investigation of drug-resistant focal epilepsy: an external validation study

    Vakharia, V. N., Sparks, R., Rodionov, R., Vos, S. B., Dorfer, C., Miller, J., Nilsson, D., Tisdall, M., Wolfsberger, S., McEvoy, A. W., Miserocchi, A., Winston, G. P., O'Keeffe, A. G., Ourselin, S. & Duncan, J. S., Feb 2019, In : Journal of Neurosurgery. 130, 2, p. 601-610 10 p.

    Research output: Contribution to journalArticle

  29. Automatic brain tumor segmentation using convolutional neural networks with test-time augmentation

    Wang, G., Li, W., Ourselin, S. & Vercauteren, T., 26 Jan 2019, Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries - 4th International Workshop, BrainLes 2018, Held in Conjunction with MICCAI 2018, Revised Selected Papers. Reyes, M., Bakas, S., Crimi, A., van Walsum, T., Kuijf, H. & Keyvan, F. (eds.). Springer Verlag, p. 61-72 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11384 LNCS).

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

  30. Periventricular magnetisation transfer ratio abnormalities in multiple sclerosis improve after alemtuzumab

    Brown, J. W. L., Prados Carrasco, F., Eshaghi, A., Sudre, C. H., Button, T., Pardini, M., Samson, R. S., Ourselin, S., Wheeler-Kingshott, C. AM. G., Jones, J. L., Coles, A. J. & Chard, D. T., 1 Jan 2019, In : Multiple Sclerosis Journal.

    Research output: Contribution to journalArticle

  31. Separating fetal and maternal placenta circulations using multiparametric MRI

    Melbourne, A., Aughwane, R., Sokolska, M., Owen, D., Kendall, G., Flouri, D., Bainbridge, A., Atkinson, D., Deprest, J., Vercauteren, T., David, A. & Ourselin, S., 1 Jan 2019, In : Magnetic Resonance in Medicine. 81, p. 350-361 12 p.

    Research output: Contribution to journalArticle

  32. 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

  33. Learning joint lesion and tissue segmentation from task-specific hetero-modal datasets

    Dorent, R., Li, W., Ekanayake, J., Ourselin, S. & Vercauteren, T., 2019, Learning joint lesion and tissue segmentation from task-specific hetero-modal datasets. London, United Kingdom: PMLR, Vol. 102. p. 164--174 11 p. (Proceedings of Machine Learning Research).

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

  34. 2018
  35. Spatiotemporal analysis for detection of pre-symptomatic shape changes in neurodegenerative diseases: Initial application to the GENFI cohort

    Genetic FTD Initiative, GENFI, 6 Dec 2018, In : NeuroImage. 188, p. 282-290 9 p.

    Research output: Contribution to journalArticle

  36. Optimizing Trajectories for Cranial Laser Interstitial Thermal Therapy Using Computer-Assisted Planning: A Machine Learning Approach

    Li, K., Vakharia, V. N., Sparks, R., França, L. G. S., Granados, A., McEvoy, A. W., Miserocchi, A., Wang, M., Ourselin, S. & Duncan, J. S., 5 Dec 2018, In : Neurotherapeutics. 16, 1, p. 182-1891

    Research output: Contribution to journalReview article

  37. Uncovering the heterogeneity and temporal complexity of neurodegenerative diseases with Subtype and Stage Inference

    The Genetic FTD Initiative (GENFI) & The Alzheimer’s Disease Neuroimaging Initiative (ADNI), 1 Dec 2018, In : Nature Communications. 9, 1, 4273.

    Research output: Contribution to journalArticle

  38. Joint registration and synthesis using a probabilistic model for alignment of MRI and histological sections

    Iglesias, J. E., Modat, M., Peter, L., Stevens, A., Annunziata, R., Vercauteren, T., Lein, E., Fischl, B. & Ourselin, S., Dec 2018, In : Medical Image Analysis. 50, p. 127-144

    Research output: Contribution to journalArticle

  39. Clinical phenotype, atrophy, and small vessel disease in ε2 carriers with Alzheimer disease

    Groot, C., Sudre, C. H., Barkhof, F., Teunissen, C. E., van Berckel, B. N. M., Seo, S. W., Ourselin, S., Scheltens, P., Cardoso, M. J., van der Flier, W. M. & Ossenkoppele, R., 13 Nov 2018, In : Neurology. 91, 20, p. e1851-e1859

    Research output: Contribution to journalArticle

  40. Cardiovascular risk factors and white matter hyperintensities: Difference in susceptibility in South Asians compared to Europeans

    Sudre, C. H., Smith, L., Atkinson, D., Chaturvedi, N., Ourselin, S., Barkhof, F., Hughes, A. D., Cardoso, M. J. & Jäger, R. H., 6 Nov 2018, In : Journal of the American Heart Association. 7, 21, e010533.

    Research output: Contribution to journalArticle

  41. INFLUENCES OF BLOOD PRESSURE AND BLOOD PRESSURE TRAJECTORIES ON CEREBRAL PATHOLOGY AT AGE 70: RESULTS FROM A BRITISH BIRTH COHORT

    Lane, C. A., Sudre, C. H., Barnes, J., Nicholas, J. M., Hardy, R., Parker, T. D., Murray-Smith, H., Keshavan, A., Cash, D. M., Malone, I. B., Wong, A., Kuh, D., Ourselin, S., Cardoso, M. J., Fox, N. C., Richards, M. & Schott, J. M., 22 Oct 2018, In : Alzheimer's & Dementia. 14, 7, p. P626-P627

    Research output: Contribution to journalArticle

  42. PATTERNS OF GLUCOSE HYPOMETABOLISM, SUBCORTICAL ATROPHY AND WHITE MATTER HYPERINTENSITIES IN THE BEHAVIORAL VARIANT OF ALZHEIMER’S DISEASE

    Singleton, E. H., Pijnenburg, Y. A. L., Sudre, C. H., Kochova, E., Groot, C., Papma, J. M., Ourselin, S., van Swieten, J. C., Barkhof, F., Cardoso, M. J., Scheltens, P., Rabinovici, G. D. & Ossenkoppele, R., 22 Oct 2018, In : Alzheimer's & Dementia. 14, 7, p. P94-P95

    Research output: Contribution to journalArticle

  43. Towards Modelling Multi-Arm Robots: Eccentric Arrangement of Concentric Tubes

    Mitros, Z., Khadem, M., Seneci, C., Ourselin, S., Da Cruz, L. & Bergeles, C., 9 Oct 2018, BIOROB 2018 - 7th IEEE International Conference on Biomedical Robotics and Biomechatronics. IEEE Computer Society, Vol. 2018-August. p. 43-48 6 p. 8488091

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

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

    Arteaga, M. O., Sørensen, L., Cardoso, J., Modat, M., Ourselin, S., Sommer, S., Nielsen, M., Igel, C. & Pai, A., 3 Oct 2018, ( arXiv).

    Research output: Working paperPre-print

  45. From a Disposable Ureteroscope to an Active Lightweight Fetoscope-Characterization and Usability Evaluation

    Legrand, J., Ourak, M., Javaux, A., Gruijthuijsen, C., Ahmad, M. A., Van Cleynenbreugel, B., Vercauteren, T., Deprest, J., Ourselin, S. & Vander Poorten, E., Oct 2018, In : IEEE Robotics and Automation Letters. 3, 4, p. 4359-4366

    Research output: Contribution to journalArticle

  46. Weakly-supervised convolutional neural networks for multimodal image registration

    Hu, Y., Modat, M., Gibson, E., Li, W., Ghavami, N., Bonmati, E., Wang, G., Bandula, S., Moore, C. M., Emberton, M., Ourselin, S., Noble, J. A., Barratt, D. C. & Vercauteren, T., Oct 2018, In : Medical Image Analysis. 49, p. 1-13

    Research output: Contribution to journalArticle

  47. Elastic Registration of Geodesic Vascular Graphs

    Moriconi, S., Zuluaga, M. A., Jager, H. R., Nachev, P., Ourselin, S. & Cardoso, M. J., 26 Sep 2018, In : Medical Image Computing and Computer Assisted Intervention -- MICCAI. p. 810-818

    Research output: Contribution to journalArticle

  48. Deep boosted regression for mr to ct synthesis

    Kläser, K., Markiewicz, P., Ranzini, M., Li, W., Modat, M., Hutton, B. F., Atkinson, D., Thielemans, K., Cardoso, M. J. & Ourselin, S., 12 Sep 2018, In : Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 11037, p. 61-70 10 p.

    Research output: Contribution to journalConference paper

  49. Reduced acquisition time PET pharmacokinetic modelling using simultaneous ASL–MRI: proof of concept

    Scott, C. J., Jiao, J., Melbourne, A., Burgos, N., Cash, D. M., De Vita, E., Markiewicz, P. J., O'Connor, A., Thomas, D. L., Weston, P. S. J., Schott, J. M., Hutton, B. F. & Ourselin, S., 5 Sep 2018, In : Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.

    Research output: Contribution to journalArticle

  50. Somatosensory function and pain in extremely preterm young adults from the UK EPICure cohort: sex-dependent differences and impact of neonatal surgery

    Walker, S. M., Melbourne, A., O'Reilly, H., Beckmann, J., Eaton-Rosen, Z., Ourselin, S. & Marlow, N., Sep 2018, In : British Journal of Anaesthesia. 121, 3, p. 623-635

    Research output: Contribution to journalArticle

  51. An adaptive sampling scheme to efficiently train fully convolutional networks for semantic segmentation

    Berger, L., Eoin, H., Cardoso, M. J. & Ourselin, S., 21 Aug 2018, Medical Image Understanding and Analysis - 22nd Conference, Proceedings. Springer Verlag, p. 277-286 10 p. (Communications in Computer and Information Science; vol. 894).

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

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