Ankit Patel

This paper uses deep learning to quantify dynamic self-organization in Myxococcus xanthus by encoding microscopy images into interpretable features that predict developmental phenotypes.

This study identifies molecular features of MRD progression in MDS using single-cell multi-omic profiling, revealing dynamic evolutionary processes and immunoevasive mechanisms.

The paper demonstrates that individualized fMRI neuromodulation enhances visuospatial perception by increasing BOLD signal magnitude and classification performance in specific neural networks.

This study shows that robust deep learning models for object recognition rely on low spatial frequency information, as evidenced by their performance on adversarial attacks and common corruptions.

The paper develops a deep-learning model to convert phase-contrast images into fluorescence-like images for better analysis of bacterial aggregation and rippling behaviors in Myxococcus xanthus.