386 citations · 642 across the 11 of their papers we have counts for
11 papers
Bootstrap Representation Learning for Segmentation on Medical Volumes and Sequences
Zejian Chen, Wei Zhuo, Tianfu Wang +2
In this work, we propose a novel straightforward method for medical volume and sequence segmentation with limited annotations. To avert laborious annotating, the recent success of…
Agent with Warm Start and Adaptive Dynamic Termination for Plane Localization in 3D Ultrasound
Xin Yang, Haoran Dou, Ruobing Huang +9
Accurate standard plane (SP) localization is the fundamental step for prenatal ultrasound (US) diagnosis. Typically, dozens of US SPs are collected to determine the clinical diagno…
A New Weighting Scheme for Fan-beam and Circle Cone-beam CT Reconstructions
Wei Wang, Xiang-Gen Xia, Chuanjiang He +4
In this paper, we first present an arc based algorithm for fan-beam computed tomography (CT) reconstruction via applying Katsevich's helical CT formula to 2D fan-beam CT reconstruc…
Convolutional 3D to 2D Patch Conversion for Pixel-wise Glioma Segmentation in MRI Scans
Mohammad Hamghalam, Baiying Lei, Tianfu Wang
Structural magnetic resonance imaging (MRI) has been widely utilized for analysis and diagnosis of brain diseases. Automatic segmentation of brain tumors is a challenging task for…
A model-guided deep network for limited-angle computed tomography
Wei Wang, Xiang-Gen Xia, Chuanjiang He +4
In this paper, we first propose a variational model for the limited-angle computed tomography (CT) image reconstruction and then convert the model into an end-to-end deep network.W…
High Tissue Contrast MRI Synthesis Using Multi-Stage Attention-GAN for Glioma Segmentation
Mohammad Hamghalam, Baiying Lei, Tianfu Wang
Magnetic resonance imaging (MRI) provides varying tissue contrast images of internal organs based on a strong magnetic field. Despite the non-invasive advantage of MRI in frequent…
A deep network for sinogram and CT image reconstruction
Wei Wang, Xiang-Gen Xia, Chuanjiang He +4
A CT image can be well reconstructed when the sampling rate of the sinogram satisfies the Nyquist criteria and the sampled signal is noise-free. However, in practice, the sinogram…
VerSe: A Vertebrae Labelling and Segmentation Benchmark for Multi-detector CT Images
Anjany Sekuboyina, Malek E. Husseini, Amirhossein Bayat +66
Vertebral labelling and segmentation are two fundamental tasks in an automated spine processing pipeline. Reliable and accurate processing of spine images is expected to benefit cl…
SANet:Superpixel Attention Network for Skin Lesion Attributes Detection
Xinzi He, Baiying Lei, Tianfu Wang
The accurate detection of lesion attributes is meaningful for both the computeraid diagnosis system and dermatologists decisions. However, unlike lesion segmentation and melenoma c…
Brain Tumor Synthetic Segmentation in 3D Multimodal MRI Scans
Mohammad Hamghalam, Baiying Lei, Tianfu Wang
The magnetic resonance (MR) analysis of brain tumors is widely used for diagnosis and examination of tumor subregions. The overlapping area among the intensity distribution of heal…
Deep Attentive Features for Prostate Segmentation in 3D Transrectal Ultrasound
Yi Wang, Haoran Dou, Xiaowei Hu +7
Automatic prostate segmentation in transrectal ultrasound (TRUS) images is of essential importance for image-guided prostate interventions and treatment planning. However, developi…