• Artificial Intelligence Increases the Agreement among Physicians Classifying Focal Skeleton/Bone Mar...

• May Sadik

• Jesus Lopez-Urdaneta, Johannes Ulen, Olof Enqvist, Per-Ola Andersson, Rajender Kumar, Elin Trag...

• Nuclear Medicine and Molecular Imaging   2023  Volume.57  No.2 110 ~ 116

• Applying Pix2pix to Translate Hyperemia in Blood Pool Image into Corresponding Increased Bone Uptake...

• Park Ki-Seong

• Moon Jang-Bae, Cho Sang-Geon, Kim Ja-Hae, Song Ho-Chun

• Nuclear Medicine and Molecular Imaging   2023  Volume.57  No.2 103 ~ 109

• Voxel-Based Internal Dosimetry for 177Lu-Labeled Radiopharmaceutical Therapy Using Deep Residual Lea...

• Kim Keon-Min

• Lee Min-Sun, Suh Min-Seok, Cheon Gi-Jeong, Lee Jae-Sung

• Nuclear Medicine and Molecular Imaging   2023  Volume.57  No.2 94 ~ 102

• Automatic Lung Cancer Segmentation in [18F]FDG PET/CT Using a Two-Stage Deep Learning Approach

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• Kang Seung-Kwan, Hwang Dong-Hwi, Choi Hong-Yoon, Ha Seung-Gyun, Seo Jong-Mo, Eo Jae-Seon, ...

• Nuclear Medicine and Molecular Imaging   2023  Volume.57  No.2 86 ~ 93

• MR Template-Based Individual Brain PET Volumes-of-Interest Generation Neither Using MR nor Using Spa...

• Seo Seung-Yeon

• Jungsu S. Oh, Chung Jin-Wha, Kim Seog-Young, Kim Jae-Seung

• Nuclear Medicine and Molecular Imaging   2023  Volume.57  No.2 73 ~ 85

• Alzheimer¡¯s Disease Prediction Using Attention Mechanism with Dual-Phase 18F-Florbetaben Images

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• Kang Do-Young

• Nuclear Medicine and Molecular Imaging   2023  Volume.57  No.2 61 ~ 72

• Preparing for the Artificial Intelligence Revolution in Nuclear Cardiology

• Ernest V. Garcia

• Marina Piccinelli

• Nuclear Medicine and Molecular Imaging   2023  Volume.57  No.2 51 ~ 60