A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.
Automated detection of MS lesions improves to 67% with 7T MRI.
A deep learning framework segments deep cerebellar nuclei from 7T MRI, improving accuracy and consistency.
Fast, accurate thalamus segmentation method for MS and ET.
This work uses Sylvester normalizing flows for more accurate metabolite quantification in MRS.
We propose Nonlinear Dipole Inversion (NDI) for high-quality Quantitative Susceptibility Mapping (QSM) without regularization tuning, while matching the image quality of state-of-the-art reconstruction techniques. In addition to avoiding over-smoothing that these techniques often suffer from, we also obviate the need f…
Study compares data-driven vs model-based MRS quantification strategies, focusing on resilience to out-of-distribution effects.
Nyquist ghost artifacts in EPI are originated from phase mismatch between the even and odd echoes. However, conventional correction methods using reference scans often produce erroneous results especially in high-field MRI due to the non-linear and time-varying local magnetic field changes. Recently, it was shown that …