activity
20202024
most citedASMFS: Adaptive-Similarity-based Multi-modality Feature Selection for Classification of Alzheimer's Disease

94 citations · 162 across the 12 of their papers we have counts for

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Showing 2024Show all

5 papers · 1 filter

cs.CV2024

Judge Like a Real Doctor: Dual Teacher Sample Consistency Framework for Semi-supervised Medical Image Classification

Zhang Qixiang, Yang Yuxiang, Zu Chen +4

Semi-supervised learning (SSL) is a popular solution to alleviate the high annotation cost in medical image classification. As a main branch of SSL, consistency regularization enga…

eess.IV2024

Two-Phase Multi-Dose-Level PET Image Reconstruction with Dose Level Awareness

Yuchen Fei, Yanmei Luo, Yan Wang +4

To obtain high-quality positron emission tomography (PET) while minimizing radiation exposure, a range of methods have been designed to reconstruct standard-dose PET (SPET) from co…

cs.CV2024

Dose Prediction Driven Radiotherapy Paramters Regression via Intra- and Inter-Relation Modeling

Jiaqi Cui, Yuanyuan Xu, Jianghong Xiao +4

Deep learning has facilitated the automation of radiotherapy by predicting accurate dose distribution maps. However, existing methods fail to derive the desirable radiotherapy para…

eess.IV2024

Triplet-constraint Transformer with Multi-scale Refinement for Dose Prediction in Radiotherapy

Lu Wen, Qihun Zhang, Zhenghao Feng +4

Radiotherapy is a primary treatment for cancers with the aim of applying sufficient radiation dose to the planning target volume (PTV) while minimizing dose hazards to the organs a…

eess.IV2024★ 11 cited

Image2Points:A 3D Point-based Context Clusters GAN for High-Quality PET Image Reconstruction

Jiaqi Cui, Yan Wang, Lu Wen +4

To obtain high-quality Positron emission tomography (PET) images while minimizing radiation exposure, numerous methods have been proposed to reconstruct standard-dose PET (SPET) im…