[A] |
[B] |
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[A] CHIMERA finds a set of transformations $T_1,\ldots,T_k$ allowing to cover the distribution of petients $Y$ by modifying the distribution of control subjects $X$. The $T_i$ are assumed to correspond to different disease effects. Clustering the subjects by disease effect reveals disease subtypes. [B] Voxel-based Morphometry analysis of two Alzheimer's Disease subgroups found by CHIMERA. |

- Dong A, Toledo JB,
**Honnorat N**, Doshi J, Varol E, Sotiras A, Wolk D, Trojanowski JQ, Davatzikos C.Heterogeneity of neuroanatomical patterns in prodromal Alzheimer's disease: links to cognition, progression and biomarkers.

__Brain__**2017**140(3):735-747 - Dong A,
**Honnorat N**, Gaonkar B, Davatzikos C.CHIMERA: Clustering of Heterogeneous Disease Effects via Distribution Matching of Imaging Patterns.

__IEEE transactions on medical imaging (TMI)__**2016**35(2):612-21