93 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Academia Oamenilor de Știință din RomâniaRO3 papers
- Central South UniversityCN3 papers
- First Hospital of Shanxi Medical UniversityCN3 papers
- Horia Hulubei National Institute for R and D in Physics and Nuclear EngineeringRO3 papers
- Shanxi Provincial People’s HospitalCN3 papers
- Shanxi UniversityCN3 papers
- Beijing Jiaotong UniversityCN2 papers
- Beijing Tongren HospitalCN2 papers
- First Affiliated Hospital of Xi'an Jiaotong UniversityCN2 papers
- Harvard UniversityUS2 papers
- Institute of Theoretical PhysicsCN2 papers
- Massachusetts General HospitalUS2 papers
16 papers
Language modulates vision: Evidence from neural networks and human brain-lesion models
Haoyang Chen, Bo Liu, Shuyue Wang +5
Comparing information structures in between deep neural networks (DNNs) and the human brain has become a key method for exploring their similarities and differences. Recent researc…
VisionFM: a Multi-Modal Multi-Task Vision Foundation Model for Generalist Ophthalmic Artificial Intelligence
Jianing Qiu, Jian Wu, Hao Wei +39
We present VisionFM, a foundation model pre-trained with 3.4 million ophthalmic images from 560,457 individuals, covering a broad range of ophthalmic diseases, modalities, imaging…
Experts' cognition-driven ensemble deep learning for external validation of predicting pathological complete response to neoadjuvant chemotherapy from histological images in breast cancer
Yongquan Yang, Fengling Li, Yani Wei +4
In breast cancer, neoadjuvant chemotherapy (NAC) provides a standard treatment option for patients who have locally advanced cancer and some large operable tumors. A patient will h…
Preparing data for pathological artificial intelligence with clinical-grade performance
Yuanqing Yang, Kai Sun, Yanhua Gao +2
[Purpose] The pathology is decisive for disease diagnosis, but relies heavily on the experienced pathologists. Recently, pathological artificial intelligence (PAI) is thought to im…
Wavelength-switchable ultra-narrow linewidth fiber laser enabled by a figure-8 compound-ring-cavity filter and a polarization-managed four-channel filter
Ting Feng, Da Wei, Wenwen Bi +6
We propose and demonstrate a high performance four-wavelength erbium-doped fiber laser (EDFL), enabled by a figure-8 compound-ring-cavity (F8-CRC) filter for single-longitudinal-mo…
Multi-scale super-resolution generation of low-resolution scanned pathological images
Kai Sun, Yanhua Gao, Ting Xie +5
Background. Digital pathology has aroused widespread interest in modern pathology. The key of digitalization is to scan the whole slide image (WSI) at high magnification. The lager…
Clinically Translatable Direct Patlak Reconstruction from Dynamic PET with Motion Correction Using Convolutional Neural Network
Nuobei Xie, Kuang Gong, Ning Guo +5
Patlak model is widely used in 18F-FDG dynamic positron emission tomography (PET) imaging, where the estimated parametric images reveal important biochemical and physiology informa…
Optical amplification and transmission of attenuated multi-soliton based on spectral characteristics of Akhmediev breather
Guangye Yang, Fan O. Wu, Helena Lopez Aviles +1
We analyze temporal and spectral characteristics of Akhmediev breather and establish amplification and transmission of attenuated multi-soliton in nonlinear optical fiber. Our resu…
Penalized-likelihood PET Image Reconstruction Using 3D Structural Convolutional Sparse Coding
Nuobei Xie, Kuang Gong, Ning Guo +4
Positron emission tomography (PET) is widely used for clinical diagnosis. As PET suffers from low resolution and high noise, numerous efforts try to incorporate anatomical priors i…
Performance assessment of the deep learning technologies in grading glaucoma severity
Yi Zhen, Lei Wang, Han Liu +2
Objective: To validate and compare the performance of eight available deep learning architectures in grading the severity of glaucoma based on color fundus images. Materials and Me…
edge2vec: Representation learning using edge semantics for biomedical knowledge discovery
Zheng Gao, Gang Fu, Chunping Ouyang +8
Representation learning provides new and powerful graph analytical approaches and tools for the highly valued data science challenge of mining knowledge graphs. Since previous grap…
Symmetric and asymmetric optical multi-peak solitons on a continuous wave background in the femtosecond regime
Chong Liu, Zhan-Ying Yang, Li-Chen Zhao +3
We study symmetric and asymmetric optical multi-peak solitons on a continuous wave background in the femtosecond regime of a single-mode fiber. Key characteristics of such multi-pe…
Breather-like solitons extracted from the Peregrine rogue wave
Guangye Yang, Yan Wang, Zhenyun Qin +3
Based on the Peregrine solution (PS) of the nonlinear Schrödinger (NLS) equation, the evolution of rational fraction pulses surrounded by zero background is investigated. These pul…
Entitymetrics: Measuring the Impact of Entities
Ying Ding, Min Song, Jia Han +4
This paper proposes entitymetrics to measure the impact of knowledge units. Entitymetrics highlight the importance of entities embedded in scientific literature for further knowled…
High power pulses extracted from the Peregrine rogue wave
Guangye Yang, Lu Li, SuoTang Jia +1
We address the various initial excitations of the Peregrine rogue wave and establish a robust transmission scheme of high power pulses extracted from the Peregrine rogue wave in a…
Control of high power pulse extracted from the maximally compressed pulse in a nonlinear optical fiber
Guangye Yang, Lu Li, Suotang Jia +1
We address the possibility to control high power pulses extracted from the maximally compressed pulse in a nonlinear optical fiber by adjusting the initial excitation parameters. T…