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Items: 1 to 20 of 24

1.

Desynchronization of diurnal rhythms in bipolar disorder and borderline personality disorder.

Carr O, Saunders KEA, Bilderbeck AC, Tsanas A, Palmius N, Geddes JR, Foster R, De Vos M, Goodwin GM.

Transl Psychiatry. 2018 Apr 12;8(1):79. doi: 10.1038/s41398-018-0125-7.

2.

Variability in phase and amplitude of diurnal rhythms is related to variation of mood in bipolar and borderline personality disorder.

Carr O, Saunders KEA, Tsanas A, Bilderbeck AC, Palmius N, Geddes JR, Foster R, Goodwin GM, De Vos M.

Sci Rep. 2018 Jan 26;8(1):1649. doi: 10.1038/s41598-018-19888-9.

3.

Conversion Discriminative Analysis on Mild Cognitive Impairment Using Multiple Cortical Features from MR Images.

Guo S, Lai C, Wu C, Cen G; Alzheimer's Disease Neuroimaging Initiative.

Front Aging Neurosci. 2017 May 18;9:146. doi: 10.3389/fnagi.2017.00146. eCollection 2017. Erratum in: Front Aging Neurosci. 2017 Sep 05;9:293.

4.

Clinical Insight Into Latent Variables of Psychiatric Questionnaires for Mood Symptom Self-Assessment.

Tsanas A, Saunders K, Bilderbeck A, Palmius N, Goodwin G, De Vos M.

JMIR Ment Health. 2017 May 25;4(2):e15. doi: 10.2196/mental.6917.

5.

Detecting Bipolar Depression From Geographic Location Data.

Palmius N, Tsanas A, Saunders KEA, Bilderbeck AC, Geddes JR, Goodwin GM, De Vos M.

IEEE Trans Biomed Eng. 2017 Aug;64(8):1761-1771. doi: 10.1109/TBME.2016.2611862. Epub 2016 Oct 25.

PMID:
28113247
6.

Euclidean Distances as measures of speaker similarity including identical twin pairs: A forensic investigation using source and filter voice characteristics.

San Segundo E, Tsanas A, Gómez-Vilda P.

Forensic Sci Int. 2017 Jan;270:25-38. doi: 10.1016/j.forsciint.2016.11.020. Epub 2016 Nov 17.

7.

The power of data mining in diagnosis of childhood pneumonia.

Naydenova E, Tsanas A, Howie S, Casals-Pascual C, De Vos M.

J R Soc Interface. 2016 Jul;13(120). pii: 20160266. doi: 10.1098/rsif.2016.0266.

8.

Daily longitudinal self-monitoring of mood variability in bipolar disorder and borderline personality disorder.

Tsanas A, Saunders KE, Bilderbeck AC, Palmius N, Osipov M, Clifford GD, Goodwin GΜ, De Vos M.

J Affect Disord. 2016 Nov 15;205:225-233. doi: 10.1016/j.jad.2016.06.065. Epub 2016 Jul 2.

9.

Insomnia, Nightmares, and Chronotype as Markers of Risk for Severe Mental Illness: Results from a Student Population.

Sheaves B, Porcheret K, Tsanas A, Espie CA, Foster RG, Freeman D, Harrison PJ, Wulff K, Goodwin GM.

Sleep. 2016 Jan 1;39(1):173-81. doi: 10.5665/sleep.5342.

10.

Stage-independent, single lead EEG sleep spindle detection using the continuous wavelet transform and local weighted smoothing.

Tsanas A, Clifford GD.

Front Hum Neurosci. 2015 Apr 8;9:181. doi: 10.3389/fnhum.2015.00181. eCollection 2015.

11.

Robust fundamental frequency estimation in sustained vowels: detailed algorithmic comparisons and information fusion with adaptive Kalman filtering.

Tsanas A, Zañartu M, Little MA, Fox C, Ramig LO, Clifford GD.

J Acoust Soc Am. 2014 May;135(5):2885-901. doi: 10.1121/1.4870484.

12.

Objective Automatic Assessment of Rehabilitative Speech Treatment in Parkinson's Disease.

Tsanas A, Little MA, Fox C, Ramig LO.

IEEE Trans Neural Syst Rehabil Eng. 2014 Jan;22(1):181-90. doi: 10.1109/TNSRE.2013.2293575.

PMID:
26271131
13.

Increased expression of phosphorylated NBS1, a key molecule of the DNA damage response machinery, is an adverse prognostic factor in patients with de novo myelodysplastic syndromes.

Kefala M, Papageorgiou SG, Kontos CK, Economopoulou P, Tsanas A, Pappa V, Panayiotides IG, Gorgoulis VG, Patsouris E, Foukas PG.

Leuk Res. 2013 Nov;37(11):1576-82. doi: 10.1016/j.leukres.2013.08.018. Epub 2013 Sep 5.

PMID:
24054861
14.

Statistical analysis and mapping of the Unified Parkinson's Disease Rating Scale to Hoehn and Yahr staging.

Tsanas A, Little MA, McSharry PE, Scanlon BK, Papapetropoulos S.

Parkinsonism Relat Disord. 2012 Jun;18(5):697-9. doi: 10.1016/j.parkreldis.2012.01.011. Epub 2012 Feb 7. No abstract available.

PMID:
22321863
15.

Novel speech signal processing algorithms for high-accuracy classification of Parkinson's disease.

Tsanas A, Little MA, McSharry PE, Spielman J, Ramig LO.

IEEE Trans Biomed Eng. 2012 May;59(5):1264-71. doi: 10.1109/TBME.2012.2183367. Epub 2012 Jan 9.

PMID:
22249592
16.

Localized hippocampus measures are associated with Alzheimer pathology and cognition independent of total hippocampal volume.

Carmichael O, Xie J, Fletcher E, Singh B, DeCarli C; Alzheimer's Disease Neuroimaging Initiative.

Neurobiol Aging. 2012 Jun;33(6):1124.e31-41. doi: 10.1016/j.neurobiolaging.2011.08.016. Epub 2011 Dec 14.

17.

Detecting global and local hippocampal shape changes in Alzheimer's disease using statistical shape models.

Shen KK, Fripp J, Mériaudeau F, Chételat G, Salvado O, Bourgeat P; Alzheimer's Disease Neuroimaging Initiative.

Neuroimage. 2012 Feb 1;59(3):2155-66. doi: 10.1016/j.neuroimage.2011.10.014. Epub 2011 Oct 14.

PMID:
22037419
18.

Individual subject classification for Alzheimer's disease based on incremental learning using a spatial frequency representation of cortical thickness data.

Cho Y, Seong JK, Jeong Y, Shin SY; Alzheimer's Disease Neuroimaging Initiative.

Neuroimage. 2012 Feb 1;59(3):2217-30. doi: 10.1016/j.neuroimage.2011.09.085. Epub 2011 Oct 8.

19.

BEaST: brain extraction based on nonlocal segmentation technique.

Eskildsen SF, Coupé P, Fonov V, Manjón JV, Leung KK, Guizard N, Wassef SN, Østergaard LR, Collins DL; Alzheimer's Disease Neuroimaging Initiative.

Neuroimage. 2012 Feb 1;59(3):2362-73. doi: 10.1016/j.neuroimage.2011.09.012. Epub 2011 Sep 16.

20.

Mild cognitive impairment: baseline and longitudinal structural MR imaging measures improve predictive prognosis.

McEvoy LK, Holland D, Hagler DJ Jr, Fennema-Notestine C, Brewer JB, Dale AM; Alzheimer's Disease Neuroimaging Initiative.

Radiology. 2011 Jun;259(3):834-43. doi: 10.1148/radiol.11101975. Epub 2011 Apr 6.

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