日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Normal twin PET: personalized generative modeling for confounder correction and anomaly detection in whole-body PET/CT

正常双胞胎PET:用于全身PET/CT中混杂因素校正和异常检测的个性化生成模型

Hinge, Christian; Rodell, Anders Bertil; Zuehlsdorff, Sven; Spottiswoode, Bruce; Korsholm, Kirsten; Fischer, Barbara Malene; Ladefoged, Claes Nøhr; Andersen, Flemming Littrup

Direct observation of carbon dioxide adsorption and binding at the air/aqueous interface

直接观察二氧化碳在空气/水界面上的吸附和结合。

Rashwan, Mokhtar; Mao, Zhiwei; Hirschi, Jacob S; Zuehlsdorff, Tim J; Nyman, May; Uysal, Ahmet

Validation of a data-driven motion-compensated PET brain image reconstruction algorithm in clinical patients using four radiotracers

利用四种放射性示踪剂在临床患者中验证数据驱动的运动补偿PET脑图像重建算法

Munk, Ole L; Rodell, Anders B; Danielsen, Patricia B; Madsen, Josefine R; Sørensen, Mie T; Okkels, Niels; Horsager, Jacob; Andersen, Katrine B; Borghammer, Per; Aanerud, Joel; Jones, Judson; Hong, Inki; Zuehlsdorff, Sven

Implementing vanadium peroxides as direct air carbon capture materials

将过氧化钒用作直接空气碳捕获材料

Ribó, Eduard Garrido; Mao, Zhiwei; Hirschi, Jacob S; Linsday, Taylor; Bach, Karlie; Walter, Eric D; Simons, Casey R; Zuehlsdorff, Tim J; Nyman, May

Correction to: Deep learning for improving PET/CT attenuation correction by elastic registration of anatomical data

更正:利用深度学习通过解剖数据的弹性配准来改进PET/CT衰减校正

Schaefferkoetter, Joshua; Shah, Vijay; Hayden, Charles; Prior, John O; Zuehlsdorff, Sven

Ethical Considerations for Artificial Intelligence in Medical Imaging: Data Collection, Development, and Evaluation

人工智能在医学影像中的伦理考量:数据收集、开发和评估

Herington, Jonathan; McCradden, Melissa D; Creel, Kathleen; Boellaard, Ronald; Jones, Elizabeth C; Jha, Abhinav K; Rahmim, Arman; Scott, Peter J H; Sunderland, John J; Wahl, Richard L; Zuehlsdorff, Sven; Saboury, Babak

Ethical Considerations for Artificial Intelligence in Medical Imaging: Deployment and Governance

人工智能在医学影像中的伦理考量:部署与治理

Herington, Jonathan; McCradden, Melissa D; Creel, Kathleen; Boellaard, Ronald; Jones, Elizabeth C; Jha, Abhinav K; Rahmim, Arman; Scott, Peter J H; Sunderland, John J; Wahl, Richard L; Zuehlsdorff, Sven; Saboury, Babak

Artificial Intelligence in Nuclear Medicine: Opportunities, Challenges, and Responsibilities Toward a Trustworthy Ecosystem

人工智能在核医学中的应用:机遇、挑战与责任——构建可信赖的生态系统

Saboury, Babak; Bradshaw, Tyler; Boellaard, Ronald; Buvat, Irène; Dutta, Joyita; Hatt, Mathieu; Jha, Abhinav K; Li, Quanzheng; Liu, Chi; McMeekin, Helena; Morris, Michael A; Scott, Peter J H; Siegel, Eliot; Sunderland, John J; Pandit-Taskar, Neeta; Wahl, Richard L; Zuehlsdorff, Sven; Rahmim, Arman

Nuclear Medicine and Artificial Intelligence: Best Practices for Evaluation (the RELAINCE Guidelines)

核医学与人工智能:评估最佳实践(RELAINCE 指南)

Jha, Abhinav K; Bradshaw, Tyler J; Buvat, Irène; Hatt, Mathieu; Kc, Prabhat; Liu, Chi; Obuchowski, Nancy F; Saboury, Babak; Slomka, Piotr J; Sunderland, John J; Wahl, Richard L; Yu, Zitong; Zuehlsdorff, Sven; Rahmim, Arman; Boellaard, Ronald

Nuclear Medicine and Artificial Intelligence: Best Practices for Algorithm Development

核医学与人工智能:算法开发的最佳实践

Bradshaw, Tyler J; Boellaard, Ronald; Dutta, Joyita; Jha, Abhinav K; Jacobs, Paul; Li, Quanzheng; Liu, Chi; Sitek, Arkadiusz; Saboury, Babak; Scott, Peter J H; Slomka, Piotr J; Sunderland, John J; Wahl, Richard L; Yousefirizi, Fereshteh; Zuehlsdorff, Sven; Rahmim, Arman; Buvat, Irène