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Items: 14

1.

Comparison of continuous measures across diagnostic PD-L1 assays in non-small cell lung cancer using automated image analysis.

Widmaier M, Wiestler T, Walker J, Barker C, Scott ML, Sekhavati F, Budco A, Schneider K, Segerer FJ, Steele K, Rebelatto MC.

Mod Pathol. 2019 Sep 16. doi: 10.1038/s41379-019-0349-y. [Epub ahead of print]

PMID:
31527709
2.

Automated image analysis of NSCLC biopsies to predict response to anti-PD-L1 therapy.

Althammer S, Tan TH, Spitzm├╝ller A, Rognoni L, Wiestler T, Herz T, Widmaier M, Rebelatto MC, Kaplon H, Damotte D, Alifano M, Hammond SA, Dieu-Nosjean MC, Ranade K, Schmidt G, Higgs BW, Steele KE.

J Immunother Cancer. 2019 May 6;7(1):121. doi: 10.1186/s40425-019-0589-x.

3.

Measuring multiple parameters of CD8+ tumor-infiltrating lymphocytes in human cancers by image analysis.

Steele KE, Tan TH, Korn R, Dacosta K, Brown C, Kuziora M, Zimmermann J, Laffin B, Widmaier M, Rognoni L, Cardenes R, Schneider K, Boutrin A, Martin P, Zha J, Wiestler T.

J Immunother Cancer. 2018 Mar 6;6(1):20. doi: 10.1186/s40425-018-0326-x.

4.

Cooperation Not Competition: Bihemispheric tDCS and fMRI Show Role for Ipsilateral Hemisphere in Motor Learning.

Waters S, Wiestler T, Diedrichsen J.

J Neurosci. 2017 Aug 2;37(31):7500-7512. doi: 10.1523/JNEUROSCI.3414-16.2017. Epub 2017 Jul 3.

5.

Effector-independent motor sequence representations exist in extrinsic and intrinsic reference frames.

Wiestler T, Waters-Metenier S, Diedrichsen J.

J Neurosci. 2014 Apr 2;34(14):5054-64. doi: 10.1523/JNEUROSCI.5363-13.2014.

6.

Bihemispheric transcranial direct current stimulation enhances effector-independent representations of motor synergy and sequence learning.

Waters-Metenier S, Husain M, Wiestler T, Diedrichsen J.

J Neurosci. 2014 Jan 15;34(3):1037-50. doi: 10.1523/JNEUROSCI.2282-13.2014.

7.

Skill learning strengthens cortical representations of motor sequences.

Wiestler T, Diedrichsen J.

Elife. 2013 Jul 9;2:e00801. doi: 10.7554/eLife.00801.

8.

A 7T fMRI study of cerebellar activation in sequential finger movement tasks.

Stefanescu MR, Th├╝rling M, Maderwald S, Wiestler T, Ladd ME, Diedrichsen J, Timmann D.

Exp Brain Res. 2013 Jul;228(2):243-54. doi: 10.1007/s00221-013-3558-5. Epub 2013 Jun 4.

PMID:
23732948
9.

A multivariate method to determine the dimensionality of neural representation from population activity.

Diedrichsen J, Wiestler T, Ejaz N.

Neuroimage. 2013 Aug 1;76:225-35. doi: 10.1016/j.neuroimage.2013.02.062. Epub 2013 Mar 22.

10.

Two distinct ipsilateral cortical representations for individuated finger movements.

Diedrichsen J, Wiestler T, Krakauer JW.

Cereb Cortex. 2013 Jun;23(6):1362-77. doi: 10.1093/cercor/bhs120. Epub 2012 May 17.

11.

Integration of sensory and motor representations of single fingers in the human cerebellum.

Wiestler T, McGonigle DJ, Diedrichsen J.

J Neurophysiol. 2011 Jun;105(6):3042-53. doi: 10.1152/jn.00106.2011. Epub 2011 Apr 6.

12.

Comparing the similarity and spatial structure of neural representations: a pattern-component model.

Diedrichsen J, Ridgway GR, Friston KJ, Wiestler T.

Neuroimage. 2011 Apr 15;55(4):1665-78. doi: 10.1016/j.neuroimage.2011.01.044. Epub 2011 Jan 20.

13.

A comparison of volume-based and surface-based multi-voxel pattern analysis.

Oosterhof NN, Wiestler T, Downing PE, Diedrichsen J.

Neuroimage. 2011 May 15;56(2):593-600. doi: 10.1016/j.neuroimage.2010.04.270. Epub 2010 Jun 4.

PMID:
20621701
14.

Advances in functional imaging of the human cerebellum.

Diedrichsen J, Verstynen T, Schlerf J, Wiestler T.

Curr Opin Neurol. 2010 Aug;23(4):382-7. doi: 10.1097/WCO.0b013e32833be837. Review.

PMID:
20581682

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