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期刊论文 31 相关解读 0
Deep reinforcement learning for automatic anatomic CT landmark localization in Stanford Type B aortic dissection (Vol 3, umag006, 2026) 斯坦福B型主动脉夹层中自动解剖CT标志点定位的深度强化学习 (Vol 3, umag006, 2026) Baumler, Kathrin; Codari, Marina; Mastrodicasa, Domenico; Mistelbauer, Gabriel; Willemink, Martin J.; Walters, Shannon; Hinostroza, Virginia; Turner, Valery; Chepelev, Leonid; Sriprachyakul, Apichaya; Madani, Mohammad H.; Ewane, Alex; Chen, Edward P.; Marsden, Alison L.; Desjardins, Benoit; Fleischmann, Dominik 分享 收藏
Deep learning-based prediction of acute pancreatitis severity from abdominal CT with multicenter external validation 基于深度学习的腹部CT急性胰腺炎严重程度预测及多中心外部验证 Xu, Yanqi; Teutsch, Brigitta; Zeng, Weicheng; Hu, Yang; Rastogi, Shikhar; Hu, Emmy Yuebi; DeGregorio, Isabella; Chui, Wan Fung; Richter, Benjamin, I; Cummings, Ryan; Goldberg, Julia E.; Mathieu, Edwin; Asare, Belinda Appiah; Hegedus, Peter; Gurza, Kriszta-Beata; Szabo, Istvan Viktor; Tarjan, Hedvig; Szentesi, Andrea; Borbely, Ruben; Molnar, Dorottya; Faluhelyi, Nandor; Vincze, Aron; Marta, Katalin; Hegyi, Peter; Lei, Qi; Gonda, Tamas; Huang, Chenchan; Shen, Yiqiu 分享 收藏
Clinical benefits and current challenges of photon-counting detector CT in vascular imaging 光子计数探测器CT在血管成像中的临床效益与当前挑战 El Sadaney, Ahmed O.; Diehn, Felix E.; Rajiah, Prabhakar Shantha; Mark, Ian; Campeau, Norbert G.; Froemming, Adam T.; Baffour, Francis, I; Horst, Kelly K.; Yu, Lifeng; Leng, Shuai; McCollough, Cynthia H.; Fletcher, Joel G. 分享 收藏
Artificial intelligence-enabled cardiac volumetry for opportunistic screening of cardiomegaly on chest CT: clinical validation with echocardiography 人工智能赋能的心脏容积测量用于胸部CT机会性筛查心影增大：与超声心动图的临床验证 Fan, Christopher M.; Scanio, Angelo; Yokoo, Patricia; Wiessman, Maya; Long, Michael; Lewis, Matthew A.; Xi, Yin; Duan, Xinhui; McColl, Roderick; Abbara, Suhny; Peshock, Ronald; Kay, Fernando U. 分享 收藏
Deep reinforcement learning for automatic anatomic CT landmark localization in Stanford Type B aortic dissection 斯坦福B型主动脉夹层中基于深度强化学习的解剖CT标志点自动定位 Baumler, Kathrin; Codari, Marina; Mastrodicasa, Domenico; Mistelbauer, Gabriel; Willemink, Martin J.; Walters, Shannon; Hinostroza, Virginia; Turner, Valery; Chepelev, Leonid; Sriprachyakul, Apichaya; Madani, Mohammad H.; Ewane, Alex; Chen, Edward P.; Marsden, Alison L.; Desjardins, Benoit; Fleischmann, Dominik 分享 收藏
How to implement a radiologist led whole-body MRI screening program 如何实施放射科医师主导的全身MRI筛查计划 Kierans, Andrea S.; Hentel, Keith D.; Dodelzon, Katerina; Shih, George; Prince, Martin R.; Lantos, Joshua; Frey, Melissa K.; Sharaf, Ravi N.; Min, Robert J.; Guniganti, Preethi 分享 收藏
Improved prostate diffusion imaging using deep learning denoising and phase correction with ultra-high-density coil array 使用深度学习去噪和相位校正结合超高密度线圈阵列改进前列腺扩散成像 Huang, Sherry S.; Wang, Xinzeng; Lan, Patricia; Medved, Milica; Kaya, Nurullah; Follante, Clyve K.; Stickle, Yunjeong; Taylor, Jonathan; Yousuf, Ambereen; Engelmann, Roger; Robb, Fraser J. L.; Guidon, Arnaud; Lee, Grace; Oto, Aytekin 分享 收藏
A 20-minute, free-running, whole-heart cardiac MRI to image myocardial injury following reperfused myocardial infarction: demonstration in a large animal model 20分钟自由运行式全心脏心脏MRI成像再灌注心肌梗死后的心肌损伤：大型动物模型的演示 Zhang, Xinheng; Yang, Hsin-Jung; Huang, Yuheng; Yoosefian, Ghazal; Vora, Keyur; Youssef, Khalid; Wilk, Benjamin; Christodoulou, Anthony G.; Li, Debiao; Sharif, Behzad; Prato, Frank S.; Kumar, Andreas; Dharmakumar, Rohan 分享 收藏
Determinants of image quality in respiratory triggered free breathing lung MRI at 0.55 T in adults 成人0.55 T呼吸触发自由呼吸肺MRI图像质量的决定因素 Schonour, Richard B.; Tang, Felicia, I; Bowers, Kiara A.; Su, Pan; Ohliger, Michael A.; Lee, Yoo Jin; Liu, Jonathan A.; Larson, Peder E. Z.; Yang, Yang; Sohn, Jae Ho 分享 收藏
Deep learning-based pulmonary nodule risk assessment outperforms established malignancy risk scores in lung cancer screening 基于深度学习的肺结节风险评估优于肺癌筛查中已有的恶性风险评分 Barbosa Jr, Eduardo J. Mortani; Kim, Yohan; Zhang, Yanbo; Setio, Arnaud A. A.; Mellot, Francois; Grenier, Philippe A.; Zimmermann, Mathis; Georgescu, Bogdan; Grbic, Sasa; Gefter, Warren B. 分享 收藏
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