activity
20182023
most citedA Comparison of 1-D and 2-D Deep Convolutional Neural Networks in ECG Classification

74 citations · 79 across the 5 of their papers we have counts for

collaborators

5 papers

eess.IV2023★ 1 cited

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…

eess.IV2023

CSDN: Combing Shallow and Deep Networks for Accurate Real-time Segmentation of High-definition Intravascular Ultrasound Images

Shaofeng Yuan, Feng Yang

Intravascular ultrasound (IVUS) is the preferred modality for capturing real-time and high resolution cross-sectional images of the coronary arteries, and evaluating the stenosis.…

eess.IV2022★ 1 cited

Extraction of Pulmonary Airway in CT Scans Using Deep Fully Convolutional Networks

Shaofeng Yuan

Accurate, automatic and complete extraction of pulmonary airway in medical images plays an important role in analyzing thoracic CT volumes such as lung cancer detection, chronic ob…

cs.CV2018★ 74 cited

A Comparison of 1-D and 2-D Deep Convolutional Neural Networks in ECG Classification

Yunan Wu, Feng Yang, Ying Liu +2

Effective detection of arrhythmia is an important task in the remote monitoring of electrocardiogram (ECG). The traditional ECG recognition depends on the judgment of the clinician…

cs.CV2018★ 3 cited

A Multi-stage Framework with Context Information Fusion Structure for Skin Lesion Segmentation

Yujiao Tang, Feng Yang, Shaofeng Yuan +1

The computer-aided diagnosis (CAD) systems can highly improve the reliability and efficiency of melanoma recognition. As a crucial step of CAD, skin lesion segmentation has the uns…