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Items: 1 to 50 of 93

1.

Midlife Insulin Resistance as a Predictor for Late-Life Cognitive Function and Cerebrovascular Lesions.

Toppala S, Ekblad LL, Lötjönen J, Helin S, Hurme S, Johansson J, Jula A, Karrasch M, Koikkalainen J, Laine H, Parkkola R, Viitanen M, Rinne JO.

J Alzheimers Dis. 2019 Sep 23. doi: 10.3233/JAD-190691. [Epub ahead of print]

PMID:
31561373
2.

Association between Deep Gray Matter Changes and Neurocognitive Function in Mild Cognitive Impairment and Alzheimer's Disease: A Tensor-Based Morphometric MRI Study.

Tuokkola T, Karrasch M, Koikkalainen J, Parkkola R, Lötjönen J, Löyttyniemi E, Hurme S, Rinne JO.

Dement Geriatr Cogn Disord. 2019 Sep 12:1-11. doi: 10.1159/000502476. [Epub ahead of print]

PMID:
31514198
3.

Predicting Development of Alzheimer's Disease in Patients with Shunted Idiopathic Normal Pressure Hydrocephalus.

Luikku AJ, Hall A, Nerg O, Koivisto AM, Hiltunen M, Helisalmi S, Herukka SK, Junkkari A, Sutela A, Kojoukhova M, Korhonen V, Mattila J, Lötjönen J, Rummukainen J, Alafuzoff I, Jääskeläinen JE, Remes AM, Solomon A, Kivipelto M, Soininen H, Rauramaa T, Leinonen V.

J Alzheimers Dis. 2019 Sep 5. doi: 10.3233/JAD-190334. [Epub ahead of print]

PMID:
31498122
4.

Brain volumes and cortical thickness on MRI in the Finnish Geriatric Intervention Study to Prevent Cognitive Impairment and Disability (FINGER).

Stephen R, Liu Y, Ngandu T, Antikainen R, Hulkkonen J, Koikkalainen J, Kemppainen N, Lötjönen J, Levälahti E, Parkkola R, Pippola P, Rinne J, Strandberg T, Tuomilehto J, Vanninen R, Kivipelto M, Soininen H, Solomon A; FINGER study group.

Alzheimers Res Ther. 2019 Jun 4;11(1):53. doi: 10.1186/s13195-019-0506-z.

5.

Thalamic Atrophy Without Whole Brain Atrophy Is Associated With Absence of 2-Year NEDA in Multiple Sclerosis.

Hänninen K, Viitala M, Paavilainen T, Karhu JO, Rinne J, Koikkalainen J, Lötjönen J, Soilu-Hänninen M.

Front Neurol. 2019 May 3;10:459. doi: 10.3389/fneur.2019.00459. eCollection 2019.

6.

Multivariate Prediction of Hippocampal Atrophy in Alzheimer's Disease.

Liedes H, Lötjönen J, Kortelainen JM, Novak G, van Gils M, Gordon MF; Alzheimer’s Disease Neuroimaging Initiative; and the Australian Imaging Biomarkers and Lifestyle Flagship Study of Ageing.

J Alzheimers Dis. 2019;68(4):1453-1468. doi: 10.3233/JAD-180484.

PMID:
30909211
7.

Impact of a clinical decision support tool on prediction of progression in early-stage dementia: a prospective validation study.

Bruun M, Frederiksen KS, Rhodius-Meester HFM, Baroni M, Gjerum L, Koikkalainen J, Urhemaa T, Tolonen A, van Gils M, Rueckert D, Dyremose N, Andersen BB, Lemstra AW, Hallikainen M, Kurl S, Herukka SK, Remes AM, Waldemar G, Soininen H, Mecocci P, van der Flier WM, Lötjönen J, Hasselbalch SG.

Alzheimers Res Ther. 2019 Mar 20;11(1):25. doi: 10.1186/s13195-019-0482-3.

8.

Automatically computed rating scales from MRI for patients with cognitive disorders.

Koikkalainen JR, Rhodius-Meester HFM, Frederiksen KS, Bruun M, Hasselbalch SG, Baroni M, Mecocci P, Vanninen R, Remes A, Soininen H, van Gils M, van der Flier WM, Scheltens P, Barkhof F, Erkinjuntti T, Lötjönen JMP; Alzheimer’s Disease Neuroimaging Initiative.

Eur Radiol. 2019 Sep;29(9):4937-4947. doi: 10.1007/s00330-019-06067-1. Epub 2019 Feb 22.

PMID:
30796570
9.

Detecting frontotemporal dementia syndromes using MRI biomarkers.

Bruun M, Koikkalainen J, Rhodius-Meester HFM, Baroni M, Gjerum L, van Gils M, Soininen H, Remes AM, Hartikainen P, Waldemar G, Mecocci P, Barkhof F, Pijnenburg Y, van der Flier WM, Hasselbalch SG, Lötjönen J, Frederiksen KS.

Neuroimage Clin. 2019;22:101711. doi: 10.1016/j.nicl.2019.101711. Epub 2019 Feb 4.

10.

Prediction models for dementia and neuropathology in the oldest old: the Vantaa 85+ cohort study.

Hall A, Pekkala T, Polvikoski T, van Gils M, Kivipelto M, Lötjönen J, Mattila J, Kero M, Myllykangas L, Mäkelä M, Oinas M, Paetau A, Soininen H, Tanskanen M, Solomon A.

Alzheimers Res Ther. 2019 Jan 22;11(1):11. doi: 10.1186/s13195-018-0450-3.

11.

Computer-assisted prediction of clinical progression in the earliest stages of AD.

Rhodius-Meester HFM, Liedes H, Koikkalainen J, Wolfsgruber S, Coll-Padros N, Kornhuber J, Peters O, Jessen F, Kleineidam L, Molinuevo JL, Rami L, Teunissen CE, Barkhof F, Sikkes SAM, Wesselman LMP, Slot RER, Verfaillie SCJ, Scheltens P, Tijms BM, Lötjönen J, van der Flier WM.

Alzheimers Dement (Amst). 2018 Oct 8;10:726-736. doi: 10.1016/j.dadm.2018.09.001. eCollection 2018.

12.

Impact of a Clinical Decision Support Tool on Dementia Diagnostics in Memory Clinics: The PredictND Validation Study.

Bruun M, Frederiksen KS, Rhodius-Meester HFM, Baroni M, Gjerum L, Koikkalainen J, Urhemaa T, Tolonen A, van Gils M, Tong T, Guerrero R, Rueckert D, Dyremose N, Andersen BB, Simonsen AH, Lemstra A, Hallikainen M, Kurl S, Herukka SK, Remes AM, Waldemar G, Soininen H, Mecocci P, van der Flier WM, Lötjönen J, Hasselbalch SG.

Curr Alzheimer Res. 2019;16(2):91-101. doi: 10.2174/1567205016666190103152425.

PMID:
30605060
13.

Evaluating combinations of diagnostic tests to discriminate different dementia types.

Bruun M, Rhodius-Meester HFM, Koikkalainen J, Baroni M, Gjerum L, Lemstra AW, Barkhof F, Remes AM, Urhemaa T, Tolonen A, Rueckert D, van Gils M, Frederiksen KS, Waldemar G, Scheltens P, Mecocci P, Soininen H, Lötjönen J, Hasselbalch SG, van der Flier WM.

Alzheimers Dement (Amst). 2018 Aug 17;10:509-518. doi: 10.1016/j.dadm.2018.07.003. eCollection 2018.

14.

A Decision Support System for Diagnostics and Treatment Planning in Traumatic Brain Injury.

Umer A, Mattila J, Liedes H, Koikkalainen J, Lotjonen J, Katila A, Frantzen J, Newcombe V, Tenovuo O, Menon D, van Gils M.

IEEE J Biomed Health Inform. 2019 May;23(3):1261-1268. doi: 10.1109/JBHI.2018.2842717. Epub 2018 Jun 1.

PMID:
29993563
15.

Data-Driven Differential Diagnosis of Dementia Using Multiclass Disease State Index Classifier.

Tolonen A, Rhodius-Meester HFM, Bruun M, Koikkalainen J, Barkhof F, Lemstra AW, Koene T, Scheltens P, Teunissen CE, Tong T, Guerrero R, Schuh A, Ledig C, Baroni M, Rueckert D, Soininen H, Remes AM, Waldemar G, Hasselbalch SG, Mecocci P, van der Flier WM, Lötjönen J.

Front Aging Neurosci. 2018 Apr 25;10:111. doi: 10.3389/fnagi.2018.00111. eCollection 2018.

16.

Automatic MRI Quantifying Methods in Behavioral-Variant Frontotemporal Dementia Diagnosis.

Cajanus A, Hall A, Koikkalainen J, Solje E, Tolonen A, Urhemaa T, Liu Y, Haanpää RM, Hartikainen P, Helisalmi S, Korhonen V, Rueckert D, Hasselbalch S, Waldemar G, Mecocci P, Vanninen R, van Gils M, Soininen H, Lötjönen J, Remes AM.

Dement Geriatr Cogn Dis Extra. 2018 Feb 23;8(1):51-59. doi: 10.1159/000486849. eCollection 2018 Jan-Apr.

17.

Disease-related determinants are associated with mortality in dementia due to Alzheimer's disease.

Rhodius-Meester HFM, Liedes H, Koene T, Lemstra AW, Teunissen CE, Barkhof F, Scheltens P, van Gils M, Lötjönen J, van der Flier WM.

Alzheimers Res Ther. 2018 Feb 20;10(1):23. doi: 10.1186/s13195-018-0348-0.

18.

Validation of prognostic biomarker scores for predicting progression of dementia in patients with amnestic mild cognitive impairment.

Moreland J, Urhemaa T, van Gils M, Lötjönen J, Wolber J, Buckley CJ.

Nucl Med Commun. 2018 Apr;39(4):297-303. doi: 10.1097/MNM.0000000000000812.

19.

Regional brain morphometry in patients with traumatic brain injury based on acute- and chronic-phase magnetic resonance imaging.

Ledig C, Kamnitsas K, Koikkalainen J, Posti JP, Takala RSK, Katila A, Frantzén J, Ala-Seppälä H, Kyllönen A, Maanpää HR, Tallus J, Lötjönen J, Glocker B, Tenovuo O, Rueckert D.

PLoS One. 2017 Nov 28;12(11):e0188152. doi: 10.1371/journal.pone.0188152. eCollection 2017.

20.

Association Between Later Life Lifestyle Factors and Alzheimer's Disease Biomarkers in Non-Demented Individuals: A Longitudinal Descriptive Cohort Study.

Reijs BLR, Vos SJB, Soininen H, Lötjonen J, Koikkalainen J, Pikkarainen M, Hall A, Vanninen R, Liu Y, Herukka SK, Freund-Levi Y, Frisoni GB, Frölich L, Nobili F, Rikkert MO, Spiru L, Tsolaki M, Wallin ÅK, Scheltens P, Verhey F, Visser PJ.

J Alzheimers Dis. 2017;60(4):1387-1395. doi: 10.3233/JAD-170039.

PMID:
29036813
21.

Longitudinal changes in the brain in mild cognitive impairment: a magnetic resonance imaging study using the visual rating method and tensor-based morphometry.

Tuokkola T, Koikkalainen J, Parkkola R, Karrasch M, Lötjönen J, Rinne JO.

Acta Radiol. 2018 Aug;59(8):973-979. doi: 10.1177/0284185117734418. Epub 2017 Sep 27.

PMID:
28952780
22.

Abstracts from Hydrocephalus 2016.

Adam A, Robison J, Lu J, Jose R, Badran N, Vivas-Buitrago T, Rigamonti D, Sattar A, Omoush O, Hammad M, Dawood M, Maghaslah M, Belcher T, Carson K, Hoffberger J, Jusué Torres I, Foley S, Yasar S, Thai QA, Wemmer J, Klinge P, Al-Mutawa L, Al-Ghamdi H, Carson KA, Asgari M, de Zélicourt D, Kurtcuoglu V, Garnotel S, Salmon S, Balédent O, Lokossou A, Page G, Balardy L, Czosnyka Z, Payoux P, Schmidt EA, Zitoun M, Sevestre MA, Alperin N, Baudracco I, Craven C, Matloob S, Thompson S, Haylock Vize P, Thorne L, Watkins LD, Toma AK, Bechter K, Pong AC, Jugé L, Bilston LE, Cheng S, Bradley W, Hakim F, Ramón JF, Cárdenas MF, Davidson JS, García C, González D, Bermúdez S, Useche N, Mejía JA, Mayorga P, Cruz F, Martinez C, Matiz MC, Vallejo M, Ghotme K, Soto HA, Riveros D, Buitrago A, Mora M, Murcia L, Bermudez S, Cohen D, Dasgupta D, Curtis C, Domínguez L, Remolina AJ, Grijalba MA, Whitehouse KJ, Edwards RJ, Eleftheriou A, Lundin F, Fountas KN, Kapsalaki EZ, Smisson HF, Robinson JS, Fritsch MJ, Arouk W, Garzon M, Kang M, Sandhu K, Baghawatti D, Aquilina K, James G, Thompson D, Gehlen M, Schmid Daners M, Eklund A, Malm J, Gomez D, Guerra M, Jara M, Flores M, Vío K, Moreno I, Rodríguez S, Ortega E, Rodríguez EM, McAllister JP, Guerra MM, Morales DM, Sival D, Jimenez A, Limbrick DD, Ishikawa M, Yamada S, Yamamoto K, Junkkari A, Häyrinen A, Rauramaa T, Sintonen H, Nerg O, Koivisto AM, Roine RP, Viinamäki H, Soininen H, Luikku A, Jääskeläinen JE, Leinonen V, Kehler U, Lilja-Lund O, Kockum K, Larsson EM, Riklund K, Söderström L, Hellström P, Laurell K, Kojoukhova M, Sutela A, Vanninen R, Vanha KI, Timonen M, Rummukainen J, Korhonen V, Helisalmi S, Solje E, Remes AM, Huovinen J, Paananen J, Hiltunen M, Kurki M, Martin B, Loth F, Luciano M, Luikku AJ, Hall A, Herukka SK, Mattila J, Lötjönen J, Alafuzoff I, Jurjević I, Miyajima M, Nakajima M, Murai H, Shin T, Kawaguchi D, Akiba C, Ogino I, Karagiozov K, Arai H, Reis RC, Teixeira MJ, Valêncio CG, da Vigua D, Almeida-Lopes L, Mancini MW, Pinto FCG, Maykot RH, Calia G, Tornai J, Silvestre SSS, Mendes G, Sousa V, Bezerra B, Dutra P, Modesto P, Oliveira MF, Petitto CE, Pulhorn H, Chandran A, McMahon C, Rao AS, Jumaly M, Solomon D, Moghekar A, Relkin N, Hamilton M, Katzen H, Williams M, Bach T, Zuspan S, Holubkov R, Rigamonti A, Clemens G, Sharkey P, Sanyal A, Sankey E, Rigamonti K, Naqvi S, Hung A, Schmidt E, Ory-Magne F, Gantet P, Guenego A, Januel AC, Tall P, Fabre N, Mahieu L, Cognard C, Gray L, Buttner-Ennever JA, Takagi K, Onouchi K, Thompson SD, Thorne LD, Tully HM, Wenger TL, Kukull WA, Doherty D, Dobyns WB, Moran D, Vakili S, Patel MA, Elder B, Goodwin CR, Crawford JA, Pletnikov MV, Xu J, Blitz A, Herzka DA, Guerrero-Cazares H, Quiñones-Hinojosa A, Mori S, Saavedra P, Treviño H, Maitani K, Ziai WC, Eslami V, Nekoovaght-Tak S, Dlugash R, Yenokyan G, McBee N, Hanley DF.

Fluids Barriers CNS. 2017 Jun 7;14(Suppl 1):15. doi: 10.1186/s12987-017-0054-5. No abstract available.

23.

Five-class differential diagnostics of neurodegenerative diseases using random undersampling boosting.

Tong T, Ledig C, Guerrero R, Schuh A, Koikkalainen J, Tolonen A, Rhodius H, Barkhof F, Tijms B, Lemstra AW, Soininen H, Remes AM, Waldemar G, Hasselbalch S, Mecocci P, Baroni M, Lötjönen J, Flier WV, Rueckert D.

Neuroimage Clin. 2017 Jun 12;15:613-624. doi: 10.1016/j.nicl.2017.06.012. eCollection 2017.

24.

Development of a Late-Life Dementia Prediction Index with Supervised Machine Learning in the Population-Based CAIDE Study.

Pekkala T, Hall A, Lötjönen J, Mattila J, Soininen H, Ngandu T, Laatikainen T, Kivipelto M, Solomon A.

J Alzheimers Dis. 2017;55(3):1055-1067.

25.

Multimodal analysis to predict shunt surgery outcome of 284 patients with suspected idiopathic normal pressure hydrocephalus.

Luikku AJ, Hall A, Nerg O, Koivisto AM, Hiltunen M, Helisalmi S, Herukka SK, Sutela A, Kojoukhova M, Mattila J, Lötjönen J, Rummukainen J, Alafuzoff I, Jääskeläinen JE, Remes AM, Soininen H, Leinonen V.

Acta Neurochir (Wien). 2016 Dec;158(12):2311-2319. Epub 2016 Oct 14.

PMID:
27743250
26.

Using the Disease State Fingerprint Tool for Differential Diagnosis of Frontotemporal Dementia and Alzheimer's Disease.

Muñoz-Ruiz MÁ, Hall A, Mattila J, Koikkalainen J, Herukka SK, Husso M, Hänninen T, Vanninen R, Liu Y, Hallikainen M, Lötjönen J, Remes AM, Alafuzoff I, Soininen H, Hartikainen P.

Dement Geriatr Cogn Dis Extra. 2016 Jul 22;6(2):313-329. eCollection 2016 May-Aug.

27.

Evaluation of motion-correction methods for dual-gated cardiac positron emission tomography/computed tomography imaging.

Klén R, Noponen T, Koikkalainen J, Lötjönen J, Thielemans K, Hoppela E, Sipilä H, Teräs M, Knuuti J.

Nucl Med Commun. 2016 Sep;37(9):956-68. doi: 10.1097/MNM.0000000000000539.

PMID:
27258990
28.

Prediction of Outcome after Traumatic Brain Injury: Comparison of Disease State Index and IMPACT Calculator.

Liedes H, Mattila J, Lingsma H, Lötjönen J, Menon D, Tenovuo O, van Gils M.

Stud Health Technol Inform. 2016;224:175-80.

PMID:
27225575
29.

Differential diagnosis of neurodegenerative diseases using structural MRI data.

Koikkalainen J, Rhodius-Meester H, Tolonen A, Barkhof F, Tijms B, Lemstra AW, Tong T, Guerrero R, Schuh A, Ledig C, Rueckert D, Soininen H, Remes AM, Waldemar G, Hasselbalch S, Mecocci P, van der Flier W, Lötjönen J.

Neuroimage Clin. 2016 Mar 5;11:435-449. doi: 10.1016/j.nicl.2016.02.019. eCollection 2016.

30.

Integrating Biomarkers for Underlying Alzheimer's Disease in Mild Cognitive Impairment in Daily Practice: Comparison of a Clinical Decision Support System with Individual Biomarkers.

Rhodius-Meester HF, Koikkalainen J, Mattila J, Teunissen CE, Barkhof F, Lemstra AW, Scheltens P, Lötjönen J, van der Flier WM.

J Alzheimers Dis. 2016;50(1):261-70. doi: 10.3233/JAD-150548.

PMID:
26577521
31.

Integration of Cognitive Tests and Resting State fMRI for the Individual Identification of Mild Cognitive Impairment.

Beltrachini L, De Marco M, Taylor ZA, Lotjonen J, Frangi AF, Venneri A.

Curr Alzheimer Res. 2015;12(6):592-603.

PMID:
26238814
32.

Visual rating method and tensor-based morphometry in the diagnosis of mild cognitive impairment and Alzheimer's disease: a comparative magnetic resonance imaging study.

Tuokkola T, Koikkalainen J, Parkkola R, Karrasch M, Lötjönen J, Rinne JO.

Acta Radiol. 2016 Mar;57(3):348-55. doi: 10.1177/0284185115584656. Epub 2015 May 14.

PMID:
25977576
33.

Robust whole-brain segmentation: application to traumatic brain injury.

Ledig C, Heckemann RA, Hammers A, Lopez JC, Newcombe VF, Makropoulos A, Lötjönen J, Menon DK, Rueckert D.

Med Image Anal. 2015 Apr;21(1):40-58. doi: 10.1016/j.media.2014.12.003. Epub 2014 Dec 24.

34.

Predicting progression from cognitive impairment to Alzheimer's disease with the Disease State Index.

Hall A, Mattila J, Koikkalainen J, Lötjonen J, Wolz R, Scheltens P, Frisoni G, Tsolaki M, Nobili F, Freund-Levi Y, Minthon L, Frölich L, Hampel H, Visser PJ, Soininen H.

Curr Alzheimer Res. 2015;12(1):69-79.

PMID:
25523428
35.

Generalizability of the disease state index prediction model for identifying patients progressing from mild cognitive impairment to Alzheimer's disease.

Hall A, Muñoz-Ruiz M, Mattila J, Koikkalainen J, Tsolaki M, Mecocci P, Kloszewska I, Vellas B, Lovestone S, Visser PJ, Lötjonen J, Soininen H; Alzheimer Disease Neuroimaging Initiative; AddNeuroMed consortium; DESCRIPA and Kuopio L-MCI.

J Alzheimers Dis. 2015;44(1):79-92. doi: 10.3233/JAD-140942.

PMID:
25201784
36.

Quantification of dynamic morphological drug responses in 3D organotypic cell cultures by automated image analysis.

Härmä V, Schukov HP, Happonen A, Ahonen I, Virtanen J, Siitari H, Åkerfelt M, Lötjönen J, Nees M.

PLoS One. 2014 May 8;9(5):e96426. doi: 10.1371/journal.pone.0096426. eCollection 2014.

37.

The PredictAD project: development of novel biomarkers and analysis software for early diagnosis of the Alzheimer's disease.

Antila K, Lötjönen J, Thurfjell L, Laine J, Massimini M, Rueckert D, Zubarev RA, Orešič M, van Gils M, Mattila J, Hviid Simonsen A, Waldemar G, Soininen H.

Interface Focus. 2013 Apr 6;3(2):20120072. doi: 10.1098/rsfs.2012.0072.

38.

Application of the PredictAD decision support tool to a Danish cohort of patients with Alzheimer's disease and other dementias.

Simonsen AH, Mattila J, Hejl AM, Garde E, van Gils M, Thomsen C, Lötjönen J, Soininen H, Waldemar G.

Dement Geriatr Cogn Disord. 2014;37(3-4):207-13. doi: 10.1159/000354372. Epub 2013 Oct 26.

PMID:
24193095
39.

Quantitative evaluation of disease progression in a longitudinal mild cognitive impairment cohort.

Runtti H, Mattila J, van Gils M, Koikkalainen J, Soininen H, Lötjönen J; Alzheimer’s Disease Neuroimaging Initiative.

J Alzheimers Dis. 2014;39(1):49-61. doi: 10.3233/JAD-130359.

PMID:
24121959
40.

Comparing predictors of conversion to Alzheimer's disease using the disease state index.

Muñoz-Ruiz MÁ, Hall A, Mattila J, Koikkalainen J, Herukka SK, Vanninen R, Liu Y, Lötjönen J, Soininen H; Alzheimer’s Disease Neuroimaging Initiative.

Neurodegener Dis. 2014;13(2-3):200-2. doi: 10.1159/000354074. Epub 2013 Aug 22.

PMID:
23969422
41.

Implementation and validation of an adaptive template registration method for 18F-flutemetamol imaging data.

Lundqvist R, Lilja J, Thomas BA, Lötjönen J, Villemagne VL, Rowe CC, Thurfjell L.

J Nucl Med. 2013 Aug;54(8):1472-8. doi: 10.2967/jnumed.112.115006. Epub 2013 Jun 5.

42.

A MATLAB toolbox for classification and visualization of heterogenous multi-scale human data using the Disease State Fingerprint method.

Cluitmans L, Mattila J, Runtti H, van Gils M, Lötjönen J.

Stud Health Technol Inform. 2013;189:77-82.

PMID:
23739361
43.

Disease state fingerprint in frontotemporal degeneration with reference to Alzheimer's disease and mild cognitive impairment.

Muñoz-Ruiz MÁ, Hartikainen P, Hall A, Mattila J, Koikkalainen J, Herukka SK, Julkunen V, Vanninen R, Liu Y, Lötjönen J, Soininen H.

J Alzheimers Dis. 2013;35(4):727-39. doi: 10.3233/JAD-122260.

PMID:
23455991
44.

Predicting AD conversion: comparison between prodromal AD guidelines and computer assisted PredictAD tool.

Liu Y, Mattila J, Ruiz MÁ, Paajanen T, Koikkalainen J, van Gils M, Herukka SK, Waldemar G, Lötjönen J, Soininen H; Alzheimer's Disease Neuroimaging Initiative.

PLoS One. 2013;8(2):e55246. doi: 10.1371/journal.pone.0055246. Epub 2013 Feb 12.

45.

Structural MRI in frontotemporal dementia: comparisons between hippocampal volumetry, tensor-based morphometry and voxel-based morphometry.

Muñoz-Ruiz MÁ, Hartikainen P, Koikkalainen J, Wolz R, Julkunen V, Niskanen E, Herukka SK, Kivipelto M, Vanninen R, Rueckert D, Liu Y, Lötjönen J, Soininen H.

PLoS One. 2012;7(12):e52531. doi: 10.1371/journal.pone.0052531. Epub 2012 Dec 20.

46.

Application of the PredictAD software tool to predict progression in patients with mild cognitive impairment.

Simonsen AH, Mattila J, Hejl AM, Frederiksen KS, Herukka SK, Hallikainen M, van Gils M, Lötjönen J, Soininen H, Waldemar G.

Dement Geriatr Cogn Disord. 2012;34(5-6):344-50. doi: 10.1159/000345554. Epub 2012 Dec 6.

47.

Optimizing the diagnosis of early Alzheimer's disease in mild cognitive impairment subjects.

Mattila J, Soininen H, Koikkalainen J, Rueckert D, Wolz R, Waldemar G, Lötjönen J.

J Alzheimers Dis. 2012;32(4):969-79. doi: 10.3233/JAD-2012-120934.

PMID:
22890102
48.

Improved classification of Alzheimer's disease data via removal of nuisance variability.

Koikkalainen J, Pölönen H, Mattila J, van Gils M, Soininen H, Lötjönen J; Alzheimer's Disease Neuroimaging Initiative.

PLoS One. 2012;7(2):e31112. doi: 10.1371/journal.pone.0031112. Epub 2012 Feb 13.

49.

Combination of biomarkers: PET [18F]flutemetamol imaging and structural MRI in dementia and mild cognitive impairment.

Thurfjell L, Lötjönen J, Lundqvist R, Koikkalainen J, Soininen H, Waldemar G, Brooks DJ, Vandenberghe R.

Neurodegener Dis. 2012;10(1-4):246-9. doi: 10.1159/000335381. Epub 2012 Feb 1.

PMID:
22301718
50.

Nonlinear dimensionality reduction combining MR imaging with non-imaging information.

Wolz R, Aljabar P, Hajnal JV, Lötjönen J, Rueckert D; Alzheimer’s Disease Neuroimaging Initiative.

Med Image Anal. 2012 May;16(4):819-30. doi: 10.1016/j.media.2011.12.003. Epub 2011 Dec 22.

PMID:
22244037

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