215 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Chinese Academy of SciencesCN7 papers
- University of Chinese Academy of SciencesCN3 papers
- University of Science and Technology of ChinaCN3 papers
- Bangor UniversityGB2 papers
- Institute of Computing TechnologyCN2 papers
- Soochow UniversityCN2 papers
- Academia SinicaTW1 paper
- AcelRx Pharmaceuticals (United States)US1 paper
- Aerospace Information Research InstituteCN1 paper
- Affiliated Hospital of Guizhou Medical UniversityCN1 paper
- Beijing Open UniversityCN1 paper
- CS DiagnosticsDE1 paper
12 papers
Focusing by Contrastive Attention: Enhancing VLMs' Visual Reasoning
Yuyao Ge, Shenghua Liu, Yiwei Wang +6
Vision-Language Models (VLMs) have demonstrated remarkable success across diverse visual tasks, yet their performance degrades in complex visual environments. While existing enhanc…
Paired Image Generation with Diffusion-Guided Diffusion Models
Haoxuan Zhang, Wenju Cui, Yuzhu Cao +4
The segmentation of mass lesions in digital breast tomosynthesis (DBT) images is very significant for the early screening of breast cancer. However, the high-density breast tissue…
Long-baseline quantum sensor network as dark matter haloscope
Min Jiang, Taizhou Hong, Dongdong Hu +8
Ultralight dark photons constitute a well-motivated candidate for dark matter. A coherent electromagnetic wave is expected to be induced by dark photons when coupled with Standard-…
ATASI-Net: An Efficient Sparse Reconstruction Network for Tomographic SAR Imaging with Adaptive Threshold
Muhan Wang, Zhe Zhang, Xiaolan Qiu +2
Tomographic SAR technique has attracted remarkable interest for its ability of three-dimensional resolving along the elevation direction via a stack of SAR images collected from di…
Knowledge Matters: Radiology Report Generation with General and Specific Knowledge
Shuxin Yang, Xian Wu, Shen Ge +2
Automatic radiology report generation is critical in clinics which can relieve experienced radiologists from the heavy workload and remind inexperienced radiologists of misdiagnosi…
Anatomy-guided Multimodal Registration by Learning Segmentation without Ground Truth: Application to Intraprocedural CBCT/MR Liver Segmentation and Registration
Bo Zhou, Zachary Augenfeld, Julius Chapiro +3
Multimodal image registration has many applications in diagnostic medical imaging and image-guided interventions, such as Transcatheter Arterial Chemoembolization (TACE) of liver c…
A floating top-electrode electrowetting-on-dielectric system
Hanbin Ma, Siyi Hu, Yuhan Jie +2
Herein, we describe a novel device configuration for double-plate electrowetting-on-dielectric system with a floating top-electrode. As conventional double-plate EWOD device requir…
Unibody microscope objective tipped with a microsphere: design, fabrication and application in subwavelength imaging
Bing Yan, Yang Song, Xibin Yang +2
Microsphere-based subwavelength imaging technique was first demonstrated in 2011. After nearly a decade of efforts, such technique has spawned numerous interests in fields such as…
Far-field Compound Super-resolution Lens for direct laser writing of arbitrary nano patterns and beyond
B. Yan, L. Yue, J. N. Monks +4
A low-cost compound super-resolution lens, consisting of a Plano-Convex lens and a Microsphere lens (PCM), was proposed and demonstrated for subwavelength direct laser scanning wri…
An Impedance Sensing Platform for Monitoring Heterogeneous Connectivity and Diagnostics in Lab-on-a-Chip Systems
Chunjie Zhang, Yang Su, Siyi Hu +5
Reliable hardware connectivity is vital in heterogeneous integrated systems. For example, in digital microfluidics lab-on-a-chip systems, there are hundreds of physical connections…
Non-rigid image registration using spatially region-weighted correlation ratio and GPU-acceleration
Lun Gong, Cheng Zhang, Luwen Duan +4
Objective: Non-rigid image registration with high accuracy and efficiency is still a challenging task for medical image analysis. In this work, we present the spatially region-weig…
Crossbar-Net: A Novel Convolutional Network for Kidney Tumor Segmentation in CT Images
Qian Yu, Yinghuan Shi, Jinquan Sun +3
Due to the irregular motion, similar appearance and diverse shape, accurate segmentation of kidney tumor in CT images is a difficult and challenging task. To this end, we present a…