13 citations · 21 across the 6 of their papers we have counts for
8 papers
Improved measurement of the strong-phase difference in quantum-correlated decays
BESIII Collaboration, M. Ablikim, M. N. Achasov +568
The decay is studied in a sample of quantum-correlated pairs, based on a data set corresponding to an integrated luminosity of 2.93\,fb collected at…
BFRnet: A deep learning-based MR background field removal method for QSM of the brain containing significant pathological susceptibility sources
Xuanyu Zhu, Yang Gao, Feng Liu +2
Introduction: Background field removal (BFR) is a critical step required for successful quantitative susceptibility mapping (QSM). However, eliminating the background field in brai…
Measurement of the branching fraction of the doubly Cabibbo-suppressed decay and search for
BESIII Collaboration, M. Ablikim, M. N. Achasov +548
Using of collision data collected at a center-of-mass energy of 3.773\,GeV with the BESIII detector, we present a measurement of the branching fraction…
Measurement of cross section and observation of a resonant structure
BESIII Collaboration, M. Ablikim, M. N. Achasov +556
Based on collision data collected by the BESIII detector at the BEPCII collider at center-of-mass energies from 2.000 to 3.080 GeV, a partial-wave analysis is performe…
Search for and at BESIII
BESIII Collaboration, M. Ablikim, M. N. Achasov +556
Using 9.9 fb of collision data collected by the BESIII detector at center-of-mass energies between 4.15 and 4.30 GeV, we search for the processes $e^+e^-\toγX(3872)…
Deep grey matter quantitative susceptibility mapping from small spatial coverages using deep learning
Xuanyu Zhu, Yang Gao, Feng Liu +2
Introduction: Quantitative Susceptibility Mapping (QSM) is generally acquired with full brain coverage, even though many QSM brain-iron studies focus on the deep grey matter (DGM)…