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Neutrophil-Mimetic Upconversion Photosynthetic Nanosystem Derived from Microalgae for Targeted Treatment of Thromboembolic Stroke Journal article
Quan, Xingping, Liu, Chang, Chen, Jinfen, Li, Yiyang, Yuan, Zhen, Zheng, Ying, Mok, Greta S.P., Wang, Ruibing, Zhao, Yonghua. Neutrophil-Mimetic Upconversion Photosynthetic Nanosystem Derived from Microalgae for Targeted Treatment of Thromboembolic Stroke[J]. ACS Nano, 2024, 18(44), 30307−30320.
Authors:  Quan, Xingping;  Liu, Chang;  Chen, Jinfen;  Li, Yiyang;  Yuan, Zhen; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:15.8/16.2 | Submit date：2024/11/05
Neutrophil-mimetic  Microalgae Thylakoid  Upconversion Nanoparticles  Nir-ii Laser  Atp/nadph Production  Endothelial Protection  
Deep learning-based multi-frequency denoising for myocardial perfusion SPECT Journal article
Du, Yu, Sun, Jingzhang, Li, Chien Ying, Yang, Bang Hung, Wu, Tung Hsin, Mok, Greta S.P.. Deep learning-based multi-frequency denoising for myocardial perfusion SPECT[J]. EJNMMI Physics, 2024, 11(1), 80.
Authors:  Du, Yu;  Sun, Jingzhang;  Li, Chien Ying;  Yang, Bang Hung;  Wu, Tung Hsin; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:3.0/3.7 | Submit date：2024/11/05
Deep Learning  Myocardial Perfusion Spect  Generative Adversarial Network  Denoising  
Deep-Learning-Based Cross-Modality Striatum Segmentation for Dopamine Transporter SPECT in Parkinson’s Disease Journal article
Haiyan Wang, Han Jiang, Gefei Chen, Yu Du, Zhonglin Lu, Zhanli Hu,, MOK SENG PENG. Deep-Learning-Based Cross-Modality Striatum Segmentation for Dopamine Transporter SPECT in Parkinson’s Disease[J]. IEEE Transactions on Radiation and Plasma Medical Sciences, 2024, 8(7), 752-761.
Authors:  Haiyan Wang;  Han Jiang;  Gefei Chen;  Yu Du;  Zhonglin Lu; et al.
Favorite | TC[WOS]:1 TC[Scopus]:1  IF:4.6/3.6 | Submit date：2024/08/08
Cross-modality  Deep Learning (Dl)  Parkinson’s Disease (Pd)  Spect  Striatum Segmentation  
PET/CT-Based Absorbed Dose Maps in 90Y Selective Internal Radiation Therapy Correlate with Spatial Changes in Liver Function Derived from Dynamic MRI Journal article
LU ZHONGLIN, Daniel F Polan, Lise Wei, Madhava P Aryal, Kellen Fitzpatrick, Chang Wang, Kyle C Cuneo, Joseph R Evans, Molly E Roseland, Joseph J Gemmete, Jared A Christensen, Baljendra S Kapoor, Justin K Mikell, Yue Cao, MOK SENG PENG, Yuni K Dewaraja. PET/CT-Based Absorbed Dose Maps in 90Y Selective Internal Radiation Therapy Correlate with Spatial Changes in Liver Function Derived from Dynamic MRI[J]. Journal of Nuclear Medicine, 2024, 65(8), 1224-1230.
Authors:  LU ZHONGLIN;  Daniel F Polan;  Lise Wei;  Madhava P Aryal;  Kellen Fitzpatrick; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:9.1/9.1 | Submit date：2024/08/08
Sirt  90y Pet/ct  Dgae Mri  Dosimetry  Absorbed Dose–toxicity Relationship  
Radiomics incorporating deep features for predicting Parkinson’s disease in 123I-Ioflupane SPECT Journal article
Jiang, Han, Du, Yu, Lu, Zhonglin, Wang, Bingjie, Zhao, Yonghua, Wang, Ruibing, Zhang, Hong, Mok, Greta S.P.. Radiomics incorporating deep features for predicting Parkinson’s disease in 123I-Ioflupane SPECT[J]. EJNMMI Physics, 2024, 11(1), 60.
Authors:  Jiang, Han;  Du, Yu;  Lu, Zhonglin;  Wang, Bingjie;  Zhao, Yonghua; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:3.0/3.7 | Submit date：2024/08/05
123i-ioflupane  Deep Feature  Deep Learning  Parkinson’s Disease  Radiomics  Spect  
Cross-Tracer and Cross-Scanner Transfer Learning-Based Attenuation Correction for Brain SPECT Journal article
Sun, Hao, Du, Yu, Lin, Ching Ni, Jiang, Han, Huang, Wenbo, Chiu, Pai Yi, Hung, Guang Uei, Lu, Lijun, Mok, Greta S.P.. Cross-Tracer and Cross-Scanner Transfer Learning-Based Attenuation Correction for Brain SPECT[J]. IEEE Transactions on Radiation and Plasma Medical Sciences, 2024, 8(6), 664-676.
Authors:  Sun, Hao;  Du, Yu;  Lin, Ching Ni;  Jiang, Han;  Huang, Wenbo; et al.
Favorite | TC[WOS]:1 TC[Scopus]:0  IF:4.6/3.6 | Submit date：2024/05/16
Attenuation Correction (Ac)  Brain Spect  99mtc-trodat-1  99mtc-ecd  Transfer Learning (Tl)  
Frequency Specific Deep Learning-based Low Dose FDG Brain PET Denoising Incorporating CT Priors Conference paper
Yanqi Wu, Yu Du, Zhengyu Peng, Fanwei Zhang, Ying Wang, MOK SENG PENG. Frequency Specific Deep Learning-based Low Dose FDG Brain PET Denoising Incorporating CT Priors[C], 2024.
Authors:  Yanqi Wu;  Yu Du;  Zhengyu Peng;  Fanwei Zhang;  Ying Wang; et al.
Favorite |  | Submit date：2024/08/08
A 3D Deep Learning-based Segmentation Model for Unified and Fully Automated Segmentation of Lungs, Normal Liver and Tumors for Y-90 Radioembolization Dosimetry Conference paper
Gefei Chen, Haiyan Wang, Zhonglin Lu, Ko-Han Lin, MOK SENG PENG. A 3D Deep Learning-based Segmentation Model for Unified and Fully Automated Segmentation of Lungs, Normal Liver and Tumors for Y-90 Radioembolization Dosimetry[C], 2024.
Authors:  Gefei Chen;  Haiyan Wang;  Zhonglin Lu;  Ko-Han Lin;  MOK SENG PENG
Favorite |  | Submit date：2024/08/08
Myocardial perfusion SPECT denoising using an attention-guided generative adversarial network with integrated multi-frequency generators Conference paper
Yu Du, Jingzhang Sun, Chien-Ying Li, Bang-Hung Yang, Tung-Hsin Wu, MOK SENG PENG. Myocardial perfusion SPECT denoising using an attention-guided generative adversarial network with integrated multi-frequency generators[C], 2024.
Authors:  Yu Du;  Jingzhang Sun;  Chien-Ying Li;  Bang-Hung Yang;  Tung-Hsin Wu; et al.
Favorite |  | Submit date：2024/08/12
Segment Anything Model for SPECT (SAMS): Novel implementation in SPECT imaging for tumor segmentation Conference paper
Zhonglin Lu, Zongyu Li, Yixuan Jia, Gefei Chen, Molly Roseland, MOK SENG PENG, Yuni K Dewaraja. Segment Anything Model for SPECT (SAMS): Novel implementation in SPECT imaging for tumor segmentation[C], 2024.
Authors:  Zhonglin Lu;  Zongyu Li;  Yixuan Jia;  Gefei Chen;  Molly Roseland; et al.
Favorite |  | Submit date：2024/08/12