output
20192025
most citedParameter-Transferred Wasserstein Generative Adversarial Network (PT-WGAN) for Low-Dose PET Image Denoising

55 citations

8 papers

cs.CV2025

MolCLIP: A Molecular-Auxiliary CLIP Framework for Identifying Drug Mechanism of Action Based on Time-Lapsed Mitochondrial Images

Fengqian Pang, Chunyue Lei, Hongfei Zhao +4

Drug Mechanism of Action (MoA) mainly investigates how drug molecules interact with cells, which is crucial for drug discovery and clinical application. Recently, deep learning mod…

cs.CL2025

Leveraging Semantic Type Dependencies for Clinical Named Entity Recognition

Linh Le, Guido Zuccon, Gianluca Demartini +2

Previous work on clinical relation extraction from free-text sentences leveraged information about semantic types from clinical knowledge bases as a part of entity representations.…

cs.CL2024★ 45 cited

KnowledgeNavigator: Leveraging Large Language Models for Enhanced Reasoning over Knowledge Graph

Tiezheng Guo, Qingwen Yang, Chen Wang +5

Large language model (LLM) has achieved outstanding performance on various downstream tasks with its powerful natural language understanding and zero-shot capability, but LLM still…

cs.MM2023★ 3 cited

An Efficient Recommendation System in E-commerce using Passer learning optimization based on Bi-LSTM

Hemn Barzan Abdalla, Awder Ahmed, Bahtiyar Mehmed +3

Online reviews play a crucial role in shaping consumer decisions, especially in the context of e-commerce. However, the quality and reliability of these reviews can vary significan…

cs.AI2022★ 9 cited

High-quality Task Division for Large-scale Entity Alignment

Bing Liu, Wen Hua, Guido Zuccon +2

Entity Alignment (EA) aims to match equivalent entities that refer to the same real-world objects and is a key step for Knowledge Graph (KG) fusion. Most neural EA models cannot be…

eess.IV2019★ 55 cited

Parameter-Transferred Wasserstein Generative Adversarial Network (PT-WGAN) for Low-Dose PET Image Denoising

Yu Gong, Hongming Shan, Yueyang Teng +5

Due to the widespread use of positron emission tomography (PET) in clinical practice, the potential risk of PET-associated radiation dose to patients needs to be minimized. However…

eess.IV2019★ 52 cited

pISTA-SENSE-ResNet for Parallel MRI Reconstruction

Tieyuan Lu, Xinlin Zhang, Yihui Huang +6

Magnetic resonance imaging has been widely applied in clinical diagnosis, however, is limited by its long data acquisition time. Although imaging can be accelerated by sparse sampl…

eess.IV2019★ 1 cited

A Guaranteed Convergence Analysis for the Projected Fast Iterative Soft-Thresholding Algorithm in Parallel MRI

Xinlin Zhang, Hengfa Lu, Di Guo +4

The boom of non-uniform sampling and compressed sensing techniques dramatically alleviates the lengthy data acquisition problem of magnetic resonance imaging. Sparse reconstruction…