EDN

Chip diffusion modeling yields better maps

PORTLAND, Ore. — Diffusion modeling similar to the technique used to design semiconductors has helped solve a long-standing problem in information display — the cartogram. The classic example of a ...
JSTOR Daily

Detecting Intrinsic Slow Variables in Stochastic Dynamical Systems by Anisotropic Diffusion Maps

Nonlinear independent component analysis is combined with diffusion-map data analysis techniques to detect good observables in high-dimensional dynamic data. These detections are achieved by ...
ascopubs.org

Role of Apparent Diffusion Coefficient Map-Based First- and High-Order Radiomic Features for the Discrimination of Sacral Chordomas and Chondrosarcomas With Overlapping ...

A retrospective, multireader review was performed of 82 pelvic MRIs (42 chordomas and 40 chondrosarcomas) between December 2014 and September 2021, split into training (n = 69) and validation (n = 13) ...
ascopubs.org

Functional Diffusion Map As an Early Imaging Biomarker for High-Grade Glioma: Correlation With Conventional Radiologic Response and Overall Survival

Analysis of Maryland Cancer Patient Participation in National Cancer Institute–Supported Cancer Treatment Clinical Trials Compared with conventional neuroimaging, fDM provided an earlier assessment of ...
JSTOR Daily

Evaluation of the Functional Diffusion Map as an Early Biomarker of Time-to-Progression and Overall Survival in High-Grade Glioma

Daniel A. Hamstra, Thomas L. Chenevert, Bradford A. Moffat, Timothy D. Johnson, Charles R. Meyer, Suresh K. Mukherji, Douglas J. Quint, Stephen S. Gebarski, Xiaoying ...
Physics World

Machine learning spots topological phase transitions in experimental data

A machine-learning tool called diffusion maps has been used to identify topological phase transitions in experimental data. The research was done by teams led by Mordechai Segev and Ronen Talmon at ...