323 citations · 1.4k across the 42 of their papers we have counts for
6 papers · 1 filter
Observation of Directed Flow of Hypernuclei H and H in = 3 GeV Au+Au Collisions at RHIC
STAR Collaboration, B. E. Aboona, J. Adam +338
We report here the first observation of directed flow () of the hypernuclei H and H in mid-central Au+Au collisions at = 3 GeV at RHIC. These d…
Measurements of the elliptic and triangular azimuthal anisotropies in central He+Au, +Au and +Au collisions at $\mbox{$\sqrt{s_{\mathrm{NN}}}$}$ = 200 GeV
STAR Collaboration, M. I. Abdulhamid, B. E. Aboona +343
The elliptic () and triangular () azimuthal anisotropy coefficients in central He+Au, +Au, and +Au collisions at $\mbox{$\sqrt{s_{\mathrm{NN}}}$}$ = 200 GeV a…
production in Au+Au collisions at = 7.7, 11.5, 14.5, 19.6, 27 and 39 GeV from RHIC beam energy scan
STAR Collaboration, M. S. Abdallah, B. E. Aboona +359
We report the measurement of meson at midrapidity ( 1.0) in Au+Au collisions at ~=~7.7, 11.5, 14.5, 19.6, 27 and 39 GeV collected by the STAR expe…
CVM-Cervix: A Hybrid Cervical Pap-Smear Image Classification Framework Using CNN, Visual Transformer and Multilayer Perceptron
Wanli Liu, Chen Li, Ning Xu +9
Cervical cancer is the seventh most common cancer among all the cancers worldwide and the fourth most common cancer among women. Cervical cytopathology image classification is an i…
An application of Pixel Interval Down-sampling (PID) for dense tiny microorganism counting on environmental microorganism images
Jiawei Zhang, Xin Zhao, Tao Jiang +7
This paper proposes a novel pixel interval down-sampling network (PID-Net) for dense tiny object (yeast cells) counting tasks with higher accuracy. The PID-Net is an end-to-end con…
EBHI:A New Enteroscope Biopsy Histopathological H&E Image Dataset for Image Classification Evaluation
Weiming Hu, Chen Li, Xiaoyan Li +9
Background and purpose: Colorectal cancer has become the third most common cancer worldwide, accounting for approximately 10% of cancer patients. Early detection of the disease is…