Jeremias Sulam

This paper introduces an AI-integrated MRI pulse sequence that detects and adapts to out-of-voxel artifacts in real-time, improving data quality through gradient adjustments.

This study introduces a bi-level graph model to identify prognostic tumor microenvironment patterns in breast cancer, validated across multiple cohorts.

The paper maps oligodendrocyte organization and dynamics across the mouse lifespan, revealing age- and region-specific differences in oligodendrogenesis and resilience.

This study compares 1D and 2D linear-combination modeling of MRS data, finding similar accuracy and uncertainty estimation between the two approaches, with 2D showing stability under correlated noise.

The paper develops a deep learning image restoration method to enhance in vivo synaptic imaging resolution using ex vivo super-resolution techniques, enabling tracking of synaptic plasticity in living mice.

This paper introduces an automated cell tracking pipeline, Oligo-Track, to analyze oligodendrocyte dynamics in vivo, revealing suppressed oligodendrogenesis in deeper cortical layers after demyelination.