Sunil Kumar Khokhar

This paper demonstrates that amine-CEST MRI with Gd-DOTA can distinguish macrophages from cancer cells by detecting Gd-DOTA uptake, aiding in differentiating pseudo-progression from true tumor progression in cancer patients.

This paper develops an unsupervised anomaly detection method using CEST MRI to improve glioblastoma delineation in rats, achieving better performance than baseline models.

This study evaluates the repeatability and sensitivity of NOEMTR, tNOE, and MWF for quantifying lipid and myelin content in mouse brains, finding tNOE to be the most sensitive for detecting myelin lipids.

The paper develops a multimodal classification approach combining neuroimaging and cognitive scores to differentiate between MCI, AD, and FTD subtypes, achieving varying levels of accuracy.

This study demonstrates that NOEMTR imaging with Gd-DOTA improves tumor boundary delineation in gliosarcoma compared to conventional MRI.

A single session of rTMS improves brain metastability and intrinsic ignition in patients with essential tremor, suggesting potential therapeutic mechanisms.