Diane-Yayra Adjavon

The paper presents the complete connectome of the Drosophila male central nervous system and compares it to the female connectome, identifying sex-specific and dimorphic neuronal types.

The paper presents the first densely reconstructed adult fruit fly connectome integrating the brain and ventral nerve cord, revealing distributed control circuits involving local and long-range neural connections.

The paper presents a spatial omics framework combining protein and RNA imaging with machine learning to classify brain cell types and discover structural features at tissue scale.

This paper introduces QuAC, a method for explaining deep neural network decisions on images by generating counterfactuals and attributing class differences, and evaluates it on synthetic and biological datasets.

This paper introduces BABY, a label-free method to track budding yeast cells and estimate growth rates using machine learning, revealing sizer- and timer-controlled bud growth and Sfp1 dynamics.