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UPDATE: README.md

Christian Ledig 3 years ago
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      README.md

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README.md

@@ -8,6 +8,8 @@ In this article, we employed a recently validated method (MALPEM) for robust cro
 
 The work was done in the [BioMedIA][biomedia] group at Imperial College London, UK.
 
+Additional experiments and known limitations are collected [below](additional-experiments-and-known-limitations).
+
 [cledig]: http://www.christianledig.com
 [biomedia]: http://biomedic.doc.ic.ac.uk
 [schuschu]: http://andreasschuh.com
@@ -16,14 +18,25 @@ The work was done in the [BioMedIA][biomedia] group at Imperial College London,
 
 
 ## Citation
-Please cite as:
+Please cite the article as:
     @article{Ledig2018,
       title={Structural brain imaging in Alzheimer's disease and mild cognitive impairment: biomarker analysis and shared morphometry database},
       author={Ledig, Christian and Schuh, Andreas and Guerrero, Ricardo and Heckemann, Rolf and Rueckert, Daniel},
       journal={Scientific Reports},
+      doi={10.1038/s41598-018-29295-9},
       year={2018},
       publisher={Nature Publishing Group}
     }
+    
+The dataset can be cited as:
+    @misc{Ledig2018_dataset,
+      title={Dataset - Structural brain imaging in Alzheimer's disease and mild cognitive impairment: biomarker analysis and shared morphometry database},
+      author={Ledig, Christian and Schuh, Andreas and Guerrero, Ricardo and Heckemann, Rolf and Rueckert, Daniel},
+      doi={10.12751/g-node.aa605a},
+      year={2018},
+      publisher={G-Node},
+      howpublished= {\url{http://doi.org/10.12751/g-node.aa605a}} 
+    }
       
 ## File Description 
 
@@ -62,6 +75,11 @@ Multi-Atlas Label Propagation with Expecation-Maximisation based refinement (MAL
 
 We are working on releasing the actual source code of MALPEM within [[MIRTK]](https://github.com/BioMedIA/MIRTK)
 
+## Additional experiments and known limitations
+
+* [[Experiment/Limitation - Correction of nuisance factors]](experiments/nuisance_factors.pdf) - 
+In the corresponding article, the normalization coefficients for the correction for nuisance factors were calculated on all analyzed healthy control subjects. This allows consistent feature correction across all experiments and simplifies statistical group comparison. We have confirmed that the simpler correction approach we took does not cause any substantial quantitative differences in our experiments.
+Specifically, we confirmed that quantitative differences in the calculated statistics are negligible when calculating normalization coefficients based on either the healthy control group or the stable MCI group. Both normalization approaches yield a substantial improvement over uncorrected features.
 
 ## References