output
20192026
most citedMachine learning in the prediction of cardiac epicardial and mediastinal fat volumes

43 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions

4 papers

quant-ph2026

Environment-assisted squeezing in a coherently driven non-Hermitian degenerate parametric oscillator

Muhdin Abdo Wodedo, Berihu Teklu, Konstantin G. Zloshchastiev +2

Environment-assisted approaches to nonclassical light offer a practical path to strong squeezing in imperfect, lossy platforms. In this paper, we study a degenerate parametric osci…

quant-ph2023★ 6 cited

Grover Speedup from Many Forms of the Zeno Effect

Jesse Berwald, Nick Chancellor, Raouf Dridi

It has previously been established that adiabatic quantum computation, operating based on a continuous Zeno effect due to dynamical phases between eigenstates, is able to realise a…

cs.CV2022★ 43 cited

Machine learning in the prediction of cardiac epicardial and mediastinal fat volumes

É. O. Rodrigues, V. H. A. Pinheiro, P. Liatsis +1

We propose a methodology to predict the cardiac epicardial and mediastinal fat volumes in computed tomography images using regression algorithms. The obtained results indicate that…

cs.CV2019★ 27 cited

Task Decomposition and Synchronization for Semantic Biomedical Image Segmentation

Xuhua Ren, Lichi Zhang, Sahar Ahmad +5

Semantic segmentation is essentially important to biomedical image analysis. Many recent works mainly focus on integrating the Fully Convolutional Network (FCN) architecture with s…