16 citations · 18 across the 4 of their papers we have counts for
4 papers
Multilevel Perception Boundary-guided Network for Breast Lesion Segmentation in Ultrasound Images
Xing Yang, Jian Zhang, Qijian Chen +2
Automatic segmentation of breast tumors from the ultrasound images is essential for the subsequent clinical diagnosis and treatment plan. Although the existing deep learning-based…
CNN-Based Invertible Wavelet Scattering for the Investigation of Diffusion Properties of the In Vivo Human Heart in Diffusion Tensor Imaging
Zeyu Deng, Lihui Wang, Zixiang Kuai +5
In vivo diffusion tensor imaging (DTI) is a promising technique to investigate noninvasively the fiber structures of the in vivo human heart. However, signal loss due to motions re…
Convolutional Restricted Boltzmann Machine Based-Radiomics for Prediction of Pathological Complete Response to Neoadjuvant Chemotherapy in Breast Cancer
Li Wang, Lihui Wang, Qijian Chen +3
We proposed a novel convolutional restricted Boltzmann machine CRBM-based radiomic method for predicting pathologic complete response (pCR) to neoadjuvant chemotherapy treatment (N…
Glioma Grade Prediction Using Wavelet Scattering-Based Radiomics
Qijian Chen, Lihui Wang, Li Wang +3
Glioma grading before surgery is very critical for the prognosis prediction and treatment plan making. We present a novel wavelet scattering-based radiomic method to predict noninv…