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Items: 1 to 50 of 113

1.

Comparison of Multi-class Machine Learning Methods for the Identification of Factors Most Predictive of Prognosis in Neurobehavioral assessment of Pediatric Severe Disorder of Consciousness through LOCFAS scale.

Molteni E, Colombo K, Beretta E, Galbiati S, Santos Canas LD, Modat M, Strazzer S.

Conf Proc IEEE Eng Med Biol Soc. 2019 Jul;2019:269-272. doi: 10.1109/EMBC.2019.8856880.

PMID:
31945893
2.

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

Canas LS, Sudre CH, De Vita E, Nihat A, Mok TH, Slattery CF, Paterson RW, Foulkes AJM, Hyare H, Cardoso MJ, Thornton J, Schott JM, Barkhof F, Collinge J, Ourselin S, Mead S, Modat M.

Neuroimage Clin. 2019;24:102051. doi: 10.1016/j.nicl.2019.102051. Epub 2019 Oct 25.

3.

Associations Between Vascular Risk Across Adulthood and Brain Pathology in Late Life: Evidence From a British Birth Cohort.

Lane CA, Barnes J, Nicholas JM, Sudre CH, Cash DM, Malone IB, Parker TD, Keshavan A, Buchanan SM, Keuss SE, James SN, Lu K, Murray-Smith H, Wong A, Gordon E, Coath W, Modat M, Thomas D, Richards M, Fox NC, Schott JM.

JAMA Neurol. 2019 Nov 4:1-9. doi: 10.1001/jamaneurol.2019.3774. [Epub ahead of print]

4.

Hippocampal subfield volumes and pre-clinical Alzheimer's disease in 408 cognitively normal adults born in 1946.

Parker TD, Cash DM, Lane CAS, Lu K, Malone IB, Nicholas JM, James SN, Keshavan A, Murray-Smith H, Wong A, Buchanan SM, Keuss SE, Sudre CH, Modat M, Thomas DL, Crutch SJ, Richards M, Fox NC, Schott JM.

PLoS One. 2019 Oct 17;14(10):e0224030. doi: 10.1371/journal.pone.0224030. eCollection 2019.

5.

Automated postoperative muscle assessment of hip arthroplasty patients using multimodal imaging joint segmentation.

Ranzini MBM, Henckel J, Ebner M, Cardoso MJ, Isaac A, Vercauteren T, Ourselin S, Hart A, Modat M.

Comput Methods Programs Biomed. 2020 Jan;183:105062. doi: 10.1016/j.cmpb.2019.105062. Epub 2019 Sep 3.

6.

Associations between blood pressure across adulthood and late-life brain structure and pathology in the neuroscience substudy of the 1946 British birth cohort (Insight 46): an epidemiological study.

Lane CA, Barnes J, Nicholas JM, Sudre CH, Cash DM, Parker TD, Malone IB, Lu K, James SN, Keshavan A, Murray-Smith H, Wong A, Buchanan SM, Keuss SE, Gordon E, Coath W, Barnes A, Dickson J, Modat M, Thomas D, Crutch SJ, Hardy R, Richards M, Fox NC, Schott JM.

Lancet Neurol. 2019 Oct;18(10):942-952. doi: 10.1016/S1474-4422(19)30228-5. Epub 2019 Aug 20.

7.

Evaluation of MRI to ultrasound registration methods for brain shift correction: The CuRIOUS2018 Challenge.

Xiao Y, Rivaz H, Chabanas M, Fortin M, Machado I, Ou Y, Heinrich MP, Schnabel JA, Zhong X, Maier A, Wein W, Shams R, Kadoury S, Drobny D, Modat M, Reinertsen I.

IEEE Trans Med Imaging. 2019 Aug 13. doi: 10.1109/TMI.2019.2935060. [Epub ahead of print]

PMID:
31425023
8.

Longitudinal neuroanatomical and cognitive progression of posterior cortical atrophy.

Firth NC, Primativo S, Marinescu RV, Shakespeare TJ, Suarez-Gonzalez A, Lehmann M, Carton A, Ocal D, Pavisic I, Paterson RW, Slattery CF, Foulkes AJM, Ridha BH, Gil-Néciga E, Oxtoby NP, Young AL, Modat M, Cardoso MJ, Ourselin S, Ryan NS, Miller BL, Rabinovici GD, Warrington EK, Rossor MN, Fox NC, Warren JD, Alexander DC, Schott JM, Yong KXX, Crutch SJ.

Brain. 2019 Jul 1;142(7):2082-2095. doi: 10.1093/brain/awz136.

9.

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 HE, Cardoso MJ, Modat M, Harrison IF, Powell NM, O'Callaghan JM, Ismail O, Johnson RA, O'Neill MJ, Collins EC, Beg MF, Popuri K, Lythgoe MF, Ourselin S.

Front Neurosci. 2019 Jan 24;13:11. doi: 10.3389/fnins.2019.00011. eCollection 2019.

10.

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

Mehdipour Ghazi M, Nielsen M, Pai A, Cardoso MJ, Modat M, Ourselin S, Sørensen L; Alzheimer’s Disease Neuroimaging Initiative.

Med Image Anal. 2019 Apr;53:39-46. doi: 10.1016/j.media.2019.01.004. Epub 2019 Jan 12.

PMID:
30682584
11.

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

Cury C, Durrleman S, Cash DM, Lorenzi M, Nicholas JM, Bocchetta M, van Swieten JC, Borroni B, Galimberti D, Masellis M, Tartaglia MC, Rowe JB, Graff C, Tagliavini F, Frisoni GB, Laforce R Jr, Finger E, de Mendonça A, Sorbi S, Ourselin S, Rohrer JD, Modat M; Genetic FTD Initiative, GENFI.

Neuroimage. 2019 Mar;188:282-290. doi: 10.1016/j.neuroimage.2018.11.063. Epub 2018 Dec 6.

12.

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

Antonelli M, Cardoso MJ, Johnston EW, Appayya MB, Presles B, Modat M, Punwani S, Ourselin S.

Med Image Anal. 2019 Feb;52:97-108. doi: 10.1016/j.media.2018.11.007. Epub 2018 Nov 19.

PMID:
30476698
13.

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

Iglesias JE, Modat M, Peter L, Stevens A, Annunziata R, Vercauteren T, Lein E, Fischl B, Ourselin S; Alzheimer’s Disease Neuroimaging Initiative.

Med Image Anal. 2018 Dec;50:127-144. doi: 10.1016/j.media.2018.09.002. Epub 2018 Sep 22.

14.

Presymptomatic white matter integrity loss in familial frontotemporal dementia in the GENFI cohort: A cross-sectional diffusion tensor imaging study.

Jiskoot LC, Bocchetta M, Nicholas JM, Cash DM, Thomas D, Modat M, Ourselin S, Rombouts SARB, Dopper EGP, Meeter LH, Panman JL, van Minkelen R, van der Ende EL, Donker Kaat L, Pijnenburg YAL, Borroni B, Galimberti D, Masellis M, Tartaglia MC, Rowe J, Graff C, Tagliavini F, Frisoni GB, Laforce R Jr, Finger E, de Mendonça A, Sorbi S; Genetic Frontotemporal dementia Initiative (GENFI), Papma JM, van Swieten JC, Rohrer JD.

Ann Clin Transl Neurol. 2018 Jul 11;5(9):1025-1036. doi: 10.1002/acn3.601. eCollection 2018 Sep.

15.

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 CM, Emberton M, Ourselin S, Noble JA, Barratt DC, Vercauteren T.

Med Image Anal. 2018 Oct;49:1-13. doi: 10.1016/j.media.2018.07.002. Epub 2018 Jul 4.

16.

A magnetic resonance multi-atlas for the neonatal rabbit brain.

Ferraris S, van der Merwe J, Van Der Veeken L, Prados F, Iglesias JE, Melbourne A, Lorenzi M, Modat M, Gsell W, Deprest J, Vercauteren T.

Neuroimage. 2018 Oct 1;179:187-198. doi: 10.1016/j.neuroimage.2018.06.029. Epub 2018 Jun 14.

17.

Hippocampal Subfield Volumetry: Differential Pattern of Atrophy in Different Forms of Genetic Frontotemporal Dementia.

Bocchetta M, Iglesias JE, Scelsi MA, Cash DM, Cardoso MJ, Modat M, Altmann A, Ourselin S, Warren JD, Rohrer JD.

J Alzheimers Dis. 2018;64(2):497-504. doi: 10.3233/JAD-180195.

18.

Thalamic atrophy in frontotemporal dementia - Not just a C9orf72 problem.

Bocchetta M, Gordon E, Cardoso MJ, Modat M, Ourselin S, Warren JD, Rohrer JD.

Neuroimage Clin. 2018 Feb 23;18:675-681. doi: 10.1016/j.nicl.2018.02.019. eCollection 2018.

19.

Cortical microstructure in young onset Alzheimer's disease using neurite orientation dispersion and density imaging.

Parker TD, Slattery CF, Zhang J, Nicholas JM, Paterson RW, Foulkes AJM, Malone IB, Thomas DL, Modat M, Cash DM, Crutch SJ, Alexander DC, Ourselin S, Fox NC, Zhang H, Schott JM.

Hum Brain Mapp. 2018 Jul;39(7):3005-3017. doi: 10.1002/hbm.24056. Epub 2018 Mar 25.

20.

NiftyNet: a deep-learning platform for medical imaging.

Gibson E, Li W, Sudre C, Fidon L, Shakir DI, Wang G, Eaton-Rosen Z, Gray R, Doel T, Hu Y, Whyntie T, Nachev P, Modat M, Barratt DC, Ourselin S, Cardoso MJ, Vercauteren T.

Comput Methods Programs Biomed. 2018 May;158:113-122. doi: 10.1016/j.cmpb.2018.01.025. Epub 2018 Jan 31.

21.

A Survey of Methods for 3D Histology Reconstruction.

Pichat J, Iglesias JE, Yousry T, Ourselin S, Modat M.

Med Image Anal. 2018 May;46:73-105. doi: 10.1016/j.media.2018.02.004. Epub 2018 Feb 21.

PMID:
29502034
22.

Computational modelling of pathogenic protein spread in neurodegenerative diseases.

Georgiadis K, Wray S, Ourselin S, Warren JD, Modat M.

PLoS One. 2018 Feb 5;13(2):e0192518. doi: 10.1371/journal.pone.0192518. eCollection 2018.

23.

Patterns of progressive atrophy vary with age in Alzheimer's disease patients.

Fiford CM, Ridgway GR, Cash DM, Modat M, Nicholas J, Manning EN, Malone IB, Biessels GJ, Ourselin S, Carmichael OT, Cardoso MJ, Barnes J; Alzheimer's Disease Neuroimaging Initiative.

Neurobiol Aging. 2018 Mar;63:22-32. doi: 10.1016/j.neurobiolaging.2017.11.002. Epub 2017 Nov 14.

24.

Issues in quantification of registered respiratory gated PET/CT in the lung.

Cuplov V, Holman BF, McClelland J, Modat M, Hutton BF, Thielemans K.

Phys Med Biol. 2017 Dec 14;63(1):015007. doi: 10.1088/1361-6560/aa950b.

PMID:
29053106
25.

Presymptomatic atrophy in autosomal dominant Alzheimer's disease: A serial magnetic resonance imaging study.

Kinnunen KM, Cash DM, Poole T, Frost C, Benzinger TLS, Ahsan RL, Leung KK, Cardoso MJ, Modat M, Malone IB, Morris JC, Bateman RJ, Marcus DS, Goate A, Salloway SP, Correia S, Sperling RA, Chhatwal JP, Mayeux RP, Brickman AM, Martins RN, Farlow MR, Ghetti B, Saykin AJ, Jack CR Jr, Schofield PR, McDade E, Weiner MW, Ringman JM, Thompson PM, Masters CL, Rowe CC, Rossor MN, Ourselin S, Fox NC; Dominantly Inherited Alzheimer Network (DIAN).

Alzheimers Dement. 2018 Jan;14(1):43-53. doi: 10.1016/j.jalz.2017.06.2268. Epub 2017 Jul 22.

26.

ApoE influences regional white-matter axonal density loss in Alzheimer's disease.

Slattery CF, Zhang J, Paterson RW, Foulkes AJM, Carton A, Macpherson K, Mancini L, Thomas DL, Modat M, Toussaint N, Cash DM, Thornton JS, Henley SMD, Crutch SJ, Alexander DC, Ourselin S, Fox NC, Zhang H, Schott JM.

Neurobiol Aging. 2017 Sep;57:8-17. doi: 10.1016/j.neurobiolaging.2017.04.021. Epub 2017 May 3.

27.

Study protocol: Insight 46 - a neuroscience sub-study of the MRC National Survey of Health and Development.

Lane CA, Parker TD, Cash DM, Macpherson K, Donnachie E, Murray-Smith H, Barnes A, Barker S, Beasley DG, Bras J, Brown D, Burgos N, Byford M, Jorge Cardoso M, Carvalho A, Collins J, De Vita E, Dickson JC, Epie N, Espak M, Henley SMD, Hoskote C, Hutel M, Klimova J, Malone IB, Markiewicz P, Melbourne A, Modat M, Schrag A, Shah S, Sharma N, Sudre CH, Thomas DL, Wong A, Zhang H, Hardy J, Zetterberg H, Ourselin S, Crutch SJ, Kuh D, Richards M, Fox NC, Schott JM.

BMC Neurol. 2017 Apr 18;17(1):75. doi: 10.1186/s12883-017-0846-x.

28.

Comparison of In Vivo and Ex Vivo MRI for the Detection of Structural Abnormalities in a Mouse Model of Tauopathy.

Holmes HE, Powell NM, Ma D, Ismail O, Harrison IF, Wells JA, Colgan N, O'Callaghan JM, Johnson RA, Murray TK, Ahmed Z, Heggenes M, Fisher A, Cardoso MJ, Modat M, O'Neill MJ, Collins EC, Fisher EM, Ourselin S, Lythgoe MF.

Front Neuroinform. 2017 Mar 31;11:20. doi: 10.3389/fninf.2017.00020. eCollection 2017.

29.

Iterative framework for the joint segmentation and CT synthesis of MR images: application to MRI-only radiotherapy treatment planning.

Burgos N, Guerreiro F, McClelland J, Presles B, Modat M, Nill S, Dearnaley D, deSouza N, Oelfke U, Knopf AC, Ourselin S, Jorge Cardoso M.

Phys Med Biol. 2017 Jun 7;62(11):4237-4253. doi: 10.1088/1361-6560/aa66bf. Epub 2017 Mar 14.

30.

A generalized framework unifying image registration and respiratory motion models and incorporating image reconstruction, for partial image data or full images.

McClelland JR, Modat M, Arridge S, Grimes H, D'Souza D, Thomas D, Connell DO, Low DA, Kaza E, Collins DJ, Leach MO, Hawkes DJ.

Phys Med Biol. 2017 Jun 7;62(11):4273-4292. doi: 10.1088/1361-6560/aa6070. Epub 2017 Feb 14.

31.

Presymptomatic cortical thinning in familial Alzheimer disease: A longitudinal MRI study.

Weston PS, Nicholas JM, Lehmann M, Ryan NS, Liang Y, Macpherson K, Modat M, Rossor MN, Schott JM, Ourselin S, Fox NC.

Neurology. 2016 Nov 8;87(19):2050-2057. Epub 2016 Oct 12.

32.

Fully-Automated μMRI Morphometric Phenotyping of the Tc1 Mouse Model of Down Syndrome.

Powell NM, Modat M, Cardoso MJ, Ma D, Holmes HE, Yu Y, O'Callaghan J, Cleary JO, Sinclair B, Wiseman FK, Tybulewicz VL, Fisher EM, Lythgoe MF, Ourselin S.

PLoS One. 2016 Sep 22;11(9):e0162974. doi: 10.1371/journal.pone.0162974. eCollection 2016.

33.

Longitudinal in vivo MRI in a Huntington's disease mouse model: Global atrophy in the absence of white matter microstructural damage.

Steventon JJ, Trueman RC, Ma D, Yhnell E, Bayram-Weston Z, Modat M, Cardoso J, Ourselin S, Lythgoe M, Stewart A, Rosser AE, Jones DK.

Sci Rep. 2016 Sep 1;6:32423. doi: 10.1038/srep32423.

34.

aMAP is a validated pipeline for registration and segmentation of high-resolution mouse brain data.

Niedworok CJ, Brown AP, Jorge Cardoso M, Osten P, Ourselin S, Modat M, Margrie TW.

Nat Commun. 2016 Jul 7;7:11879. doi: 10.1038/ncomms11879.

35.

Evaluation of Six Registration Methods for the Human Abdomen on Clinically Acquired CT.

Xu Z, Lee CP, Heinrich MP, Modat M, Rueckert D, Ourselin S, Abramson RG, Landman BA.

IEEE Trans Biomed Eng. 2016 Aug;63(8):1563-72. doi: 10.1109/TBME.2016.2574816. Epub 2016 Jun 1.

36.

Erratum to: Establishment of an open database of realistic simulated data for evaluation of partial volume correction techniques in brain PET/MR.

Mota A, Cuplov V, Drobnjak I, Dickson J, Bert J, Burgos N, Cardoso J, Modat M, Ourselin S, Schott J, Erlandsson K, Hutton B, Thielemans K.

EJNMMI Phys. 2015 Dec;2(1):30. doi: 10.1186/s40658-015-0129-9. No abstract available.

37.

Multimodal Image Analysis in Alzheimer's Disease via Statistical Modelling of Non-local Intensity Correlations.

Lorenzi M, Simpson IJ, Mendelson AF, Vos SB, Cardoso MJ, Modat M, Schott JM, Ourselin S.

Sci Rep. 2016 Apr 11;6:22161. doi: 10.1038/srep22161.

38.

Establishment of an open database of realistic simulated data for evaluation of partial volume correction techniques in brain PET/MR.

Mota A, Cuplov V, Schott J, Hutton B, Thielemans K, Drobnjak I, Dickson J, Bert J, Burgos N, Cardoso J, Modat M, Ourselin S, Erlandsson K.

EJNMMI Phys. 2015 Dec;2(Suppl 1):A44. doi: 10.1186/2197-7364-2-S1-A44. No abstract available. Erratum in: EJNMMI Phys. 2015 Dec;2(1):30.

39.

CT synthesis in the head & neck region for PET/MR attenuation correction: an iterative multi-atlas approach.

Burgos N, Cardoso MJ, Modat M, Punwani S, Atkinson D, Arridge SR, Hutton BF, Ourselin S.

EJNMMI Phys. 2015 Dec;2(Suppl 1):A31. doi: 10.1186/2197-7364-2-S1-A31. No abstract available.

40.

Imaging the accumulation and suppression of tau pathology using multiparametric MRI.

Holmes HE, Colgan N, Ismail O, Ma D, Powell NM, O'Callaghan JM, Harrison IF, Johnson RA, Murray TK, Ahmed Z, Heggenes M, Fisher A, Cardoso MJ, Modat M, Walker-Samuel S, Fisher EM, Ourselin S, O'Neill MJ, Wells JA, Collins EC, Lythgoe MF.

Neurobiol Aging. 2016 Mar;39:184-94. doi: 10.1016/j.neurobiolaging.2015.12.001. Epub 2015 Dec 15.

41.

Acceleration of hippocampal atrophy rates in asymptomatic amyloidosis.

Andrews KA, Frost C, Modat M, Cardoso MJ; AIBL, Rowe CC, Villemagne V, Fox NC, Ourselin S, Schott JM.

Neurobiol Aging. 2016 Mar;39:99-107. doi: 10.1016/j.neurobiolaging.2015.10.013. Epub 2015 Oct 22.

42.

Using florbetapir positron emission tomography to explore cerebrospinal fluid cut points and gray zones in small sample sizes.

Weston PS, Paterson RW, Modat M, Burgos N, Cardoso MJ, Magdalinou N, Lehmann M, Dickson JC, Barnes A, Bomanji JB, Kayani I, Cash DM, Ourselin S, Toombs J, Lunn MP, Mummery CJ, Warren JD, Rossor MN, Fox NC, Zetterberg H, Schott JM.

Alzheimers Dement (Amst). 2015 Nov 2;1(4):440-446. eCollection 2015 Dec.

43.

A novel use of arterial spin labelling MRI to demonstrate focal hypoperfusion in individuals with posterior cortical atrophy: a multimodal imaging study.

Lehmann M, Melbourne A, Dickson JC, Ahmed RM, Modat M, Cardoso MJ, Thomas DL, De Vita E, Crutch SJ, Warren JD, Mahoney CJ, Bomanji J, Hutton BF, Fox NC, Golay X, Ourselin S, Schott JM.

J Neurol Neurosurg Psychiatry. 2016 Sep;87(9):1032-4. doi: 10.1136/jnnp-2015-312782. Epub 2016 Jan 5. No abstract available.

44.

Multi-channel registration of fractional anisotropy and T1-weighted images in the presence of atrophy: application to multiple sclerosis.

Roura E, Schneider T, Modat M, Daga P, Muhlert N, Chard D, Ourselin S, Lladó X, Gandini Wheeler-Kingshott C.

Funct Neurol. 2015 Oct-Dec;30(4):245-56.

45.

The habenula: an under-recognised area of importance in frontotemporal dementia?

Bocchetta M, Gordon E, Marshall CR, Slattery CF, Cardoso MJ, Cash DM, Espak M, Modat M, Ourselin S, Frisoni GB, Schott JM, Warren JD, Rohrer JD.

J Neurol Neurosurg Psychiatry. 2016 Aug;87(8):910-2. doi: 10.1136/jnnp-2015-312067. Epub 2015 Nov 13. No abstract available.

46.

Probabilistic non-linear registration with spatially adaptive regularisation.

Simpson IJ, Cardoso MJ, Modat M, Cash DM, Woolrich MW, Andersson JL, Schnabel JA, Ourselin S; Alzheimer’s Disease Neuroimaging Initiative.

Med Image Anal. 2015 Dec;26(1):203-16. doi: 10.1016/j.media.2015.08.006. Epub 2015 Sep 28.

47.

Detailed volumetric analysis of the hypothalamus in behavioral variant frontotemporal dementia.

Bocchetta M, Gordon E, Manning E, Barnes J, Cash DM, Espak M, Thomas DL, Modat M, Rossor MN, Warren JD, Ourselin S, Frisoni GB, Rohrer JD.

J Neurol. 2015 Dec;262(12):2635-42. doi: 10.1007/s00415-015-7885-2. Epub 2015 Sep 4.

48.

Validation of clinical acceptability of an atlas-based segmentation algorithm for the delineation of organs at risk in head and neck cancer.

Hoang Duc AK, Eminowicz G, Mendes R, Wong SL, McClelland J, Modat M, Cardoso MJ, Mendelson AF, Veiga C, Kadir T, D'Souza D, Ourselin S.

Med Phys. 2015 Sep;42(9):5027-34. doi: 10.1118/1.4927567.

PMID:
26328953
49.

Assessing atrophy measurement techniques in dementia: Results from the MIRIAD atrophy challenge.

Cash DM, Frost C, Iheme LO, Ünay D, Kandemir M, Fripp J, Salvado O, Bourgeat P, Reuter M, Fischl B, Lorenzi M, Frisoni GB, Pennec X, Pierson RK, Gunter JL, Senjem ML, Jack CR Jr, Guizard N, Fonov VS, Collins DL, Modat M, Cardoso MJ, Leung KK, Wang H, Das SR, Yushkevich PA, Malone IB, Fox NC, Schott JM, Ourselin S.

Neuroimage. 2015 Dec;123:149-64. doi: 10.1016/j.neuroimage.2015.07.087. Epub 2015 Aug 11.

50.

Template-Based Multimodal Joint Generative Model of Brain Data.

Cardoso MJ, Sudre CH, Modat M, Ourselin S.

Inf Process Med Imaging. 2015;24:17-29.

PMID:
26221664

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