Shiju Yan

Optimized design of a non-isopeak-ring endovascular stent graft for thoracic aortic aneurysm.

Journal: Minimally invasive therapy & allied technologies : MITAT : official journal of the Society for Minimally Invasive Therapy

Published: June 24, 2025

Promptable segmentation of CT lung lesions based on improved U-Net and Segment Anything model (SAM).

Journal: Journal of X-ray science and technology

Published: May 12, 2025

Design and implementation of mechanical property testing equipment for thoracic aortic stent grafts.

Journal: Minimally invasive therapy & allied technologies : MITAT : official journal of the Society for Minimally Invasive Therapy

Published: December 26, 2023

Segmentation of prostate region in magnetic resonance images based on improved V-Net

Journal: Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi

Published: May 04, 2023

Automatic diagnosis of pneumothorax with M-mode ultrasound images based on D-MPL.

Journal: International journal of computer assisted radiology and surgery

Published: December 16, 2021

Detection of microaneurysms and hemorrhages based on improved Hessian matrix.

Journal: International journal of computer assisted radiology and surgery

Published: December 20, 2020

Design of non-equal-strut stent hoops for structural optimization of thoracic aortic stent-grafts.

Journal: Minimally invasive therapy & allied technologies : MITAT : official journal of the Society for Minimally Invasive Therapy

Published: April 03, 2020

Dual-functional neural network for bilateral hippocampi segmentation and diagnosis of Alzheimer's disease.

Journal: International journal of computer assisted radiology and surgery

Published: July 06, 2019

Meticulous Management of the Whole Life Cycle of Medical Equipment in Hospital

Journal: Zhongguo yi liao qi xie za zhi = Chinese journal of medical instrumentation

Published: June 12, 2019

Incorporating automatically learned pulmonary nodule attributes into a convolutional neural network to improve accuracy of benign-malignant nodule classification.

Journal: Physics in medicine and biology

Published: December 08, 2018

Optimized design of a non-isopeak-ring endovascular stent graft for thoracic aortic aneurysm.

Optimized design of a non-isopeak-ring endovascular stent graft for thoracic aortic aneurysm.

Promptable segmentation of CT lung lesions based on improved U-Net and Segment Anything model (SAM).

Promptable segmentation of CT lung lesions based on improved U-Net and Segment Anything model (SAM).

Design and implementation of mechanical property testing equipment for thoracic aortic stent grafts.

Design and implementation of mechanical property testing equipment for thoracic aortic stent grafts.

Segmentation of prostate region in magnetic resonance images based on improved V-Net

Segmentation of prostate region in magnetic resonance images based on improved V-Net

Automatic diagnosis of pneumothorax with M-mode ultrasound images based on D-MPL.

Automatic diagnosis of pneumothorax with M-mode ultrasound images based on D-MPL.

Detection of microaneurysms and hemorrhages based on improved Hessian matrix.

Detection of microaneurysms and hemorrhages based on improved Hessian matrix.

Design of non-equal-strut stent hoops for structural optimization of thoracic aortic stent-grafts.

Design of non-equal-strut stent hoops for structural optimization of thoracic aortic stent-grafts.

Dual-functional neural network for bilateral hippocampi segmentation and diagnosis of Alzheimer's disease.

Dual-functional neural network for bilateral hippocampi segmentation and diagnosis of Alzheimer's disease.

Meticulous Management of the Whole Life Cycle of Medical Equipment in Hospital

Meticulous Management of the Whole Life Cycle of Medical Equipment in Hospital

Incorporating automatically learned pulmonary nodule attributes into a convolutional neural network to improve accuracy of benign-malignant nodule classification.

Incorporating automatically learned pulmonary nodule attributes into a convolutional neural network to improve accuracy of benign-malignant nodule classification.

Applying a new maximum local asymmetry feature analysis method to improve near-term breast cancer risk prediction.

Applying a new maximum local asymmetry feature analysis method to improve near-term breast cancer risk prediction.

A robust method for segmenting pectoral muscle in mediolateral oblique (MLO) mammograms.

A robust method for segmenting pectoral muscle in mediolateral oblique (MLO) mammograms.