1 citations · 3 across the 5 of their papers we have counts for
5 papers
measurement of the reaction at astrophysical energies via the Trojan horse method with quasi-free breakup
Chengbo Li, Huiming Jia, Qungang Wen +9
The 12C(12C,a)20Ne reaction at astrophysical energies is crucial for understanding the carbon burning process in massive star and explosive astrophysical scenarios like Type Ia sup…
Segmentation of Aortic Vessel Tree in CT Scans with Deep Fully Convolutional Networks
Shaofeng Yuan, Feng Yang
Automatic and accurate segmentation of aortic vessel tree (AVT) in computed tomography (CT) scans is crucial for early detection, diagnosis and prognosis of aortic diseases, such a…
Does image resolution impact chest X-ray based fine-grained Tuberculosis-consistent lesion segmentation?
Sivaramakrishnan Rajaraman, Feng Yang, Ghada Zamzmi +2
Deep learning (DL) models are state-of-the-art in segmenting anatomical and disease regions of interest (ROIs) in medical images. Particularly, a large number of DL-based technique…
Generalizability of Deep Adult Lung Segmentation Models to the Pediatric Population: A Retrospective Study
Sivaramakrishnan Rajaraman, Feng Yang, Ghada Zamzmi +2
Lung segmentation in chest X-rays (CXRs) is an important prerequisite for improving the specificity of diagnoses of cardiopulmonary diseases in a clinical decision support system.…
Deep ensemble learning for segmenting tuberculosis-consistent manifestations in chest radiographs
Sivaramakrishnan Rajaraman, Feng Yang, Ghada Zamzmi +3
Automated segmentation of tuberculosis (TB)-consistent lesions in chest X-rays (CXRs) using deep learning (DL) methods can help reduce radiologist effort, supplement clinical decis…