3 citations · 10 across the 7 of their papers we have counts for
7 papers
HiSSNet: Sound Event Detection and Speaker Identification via Hierarchical Prototypical Networks for Low-Resource Headphones
N Shashaank, Berker Banar, Mohammad Rasool Izadi +3
Modern noise-cancelling headphones have significantly improved users' auditory experiences by removing unwanted background noise, but they can also block out sounds that matter to…
MPS-AMS: Masked Patches Selection and Adaptive Masking Strategy Based Self-Supervised Medical Image Segmentation
Xiangtao Wang, Ruizhi Wang, Biao Tian +5
Existing self-supervised learning methods based on contrastive learning and masked image modeling have demonstrated impressive performances. However, current masked image modeling…
Multi-Head Feature Pyramid Networks for Breast Mass Detection
Hexiang Zhang, Zhenghua Xu, Dan Yao +3
Analysis of X-ray images is one of the main tools to diagnose breast cancer. The ability to quickly and accurately detect the location of masses from the huge amount of image data…
PCA: Semi-supervised Segmentation with Patch Confidence Adversarial Training
Zihang Xu, Zhenghua Xu, Shuo Zhang +1
Deep learning based semi-supervised learning (SSL) methods have achieved strong performance in medical image segmentation, which can alleviate doctors' expensive annotation by util…
Efforts estimation of doctors annotating medical image
Yang Deng, Yao Sun, Yongpei Zhu +8
Accurate annotation of medical image is the crucial step for image AI clinical application. However, annotating medical image will incur a great deal of annotation effort and expen…
A Multi-channel Network with Image Retrieval for Accurate Brain Tissue Segmentation
Yao Sun, Yang Deng, Yue Xu +3
Magnetic Resonance Imaging (MRI) is widely used in the pathological and functional studies of the brain, such as epilepsy, tumor diagnosis, etc. Automated accurate brain tissue seg…
DASN:Data-Aware Skilled Network for Accurate MR Brain Tissue Segmentation
Yang Deng, Yao Sun, Yongpei Zhu +3
Accurate segmentation of MR brain tissue is a crucial step for diagnosis, surgical planning, and treatment of brain abnormalities. Automatic and reliable segmenta-tion methods are…