Vivek Tiwari

This paper identifies metabolic signatures of hypoxic-ischemic encephalopathy (HIE) using blood-based metabolomics and machine learning, revealing early metabolic shifts that distinguish HIE from non-HIE neonates.

The paper uses neuroanatomic volumetry and white matter hyperintensity quantification with machine learning to estimate Brain Age and discriminate cognitive status in aging cohorts.

This study quantifies the progression and impact of periventricular and deep white matter hyperintensities in aging, showing exponential growth and cognitive and neuroanatomic effects.

This paper uses fractal dimension and lacunarity from MRI to distinguish IDH status in gliomas, finding higher fractality in IDH wildtype enhancing subcomponents and associations with survival.