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Medical Physics Adaptive Radiotherapy (MPART) Fellowship: Bridging the Training Gap in Online Adaptive Radiotherapy 医学物理学自适应放射治疗（MPART）奖学金：弥合在线自适应放射治疗培训差距 Cai, Bin; Parsons, David; Lin, Mu-Han; Nguyen, Dan; Godley, Andrew R.; Pompos, Arnold; Desai, Kajal; Badiyan, Shahed; Sher, David; Timmerman, Robert; Jiang, Steve 分享 收藏
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Safety and initial effectiveness of minimally invasive sacroiliac joint fusion with metal implants using a lateral transiliac approach: a prospective trial 金属植入物经侧方跨髂骨入路微创骶髂关节融合的安全性与初期有效性：一项前瞻性试验 Weisbein, Jacqueline; Patterson, Denis; Beall, Douglas; Nguyen, Dan; Smith, Jack; Harstroem, Caroline; Davis, Timothy; Foster, Jeffrey; Christopher, Anne; Kloster, Daniel; Broadnax, John; Anderson, Eric; Hatheway, John; Trobridge, Andrew; Simmons, Charles; Stauss, Thomas; Harned, Michael; Mallard, Christopher 分享 收藏
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Contour uncertainty assessment for MD-omitted daily adaptive online head and neck radiotherapy Liao, Chien-Yi; Maniscalco, Austen Matthew; Zhao, Hengrui; Bai, Ti; Choi, Byongsu; Moon, Dominic; Yang, Daniel; Wang, Jing; Zhong, Xinran; Nguyen, Dan; Godley, Andrew; Jiang, Steve B.; Sher, David; Lin, Mu-Han 分享 收藏
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Deep learning dose prediction to approach Erasmus-iCycle dosimetric plan quality within seconds for instantaneous treatment planning van Genderingen, Joep; Nguyen, Dan; Knuth, Franziska; Nomer, Hazem A. A.; Incrocci, Luca; Sharfo, Abdul Wahab M.; Zolnay, Andras; Oelfke, Uwe; Jiang, Steve; Rossi, Linda; Heijmen, Ben J. M.; Breedveld, Sebastiaan 分享 收藏
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Deep learning prediction of scenario doses for direct plan robustness evaluations in IMPT for head-and-neck 头颈部IMPT中直接计划稳健性评估的场景剂量深度学习预测 Nomer, Hazem A. A.; Knuth, Franziska; van Genderingen, Joep; Nguyen, Dan; Sattler, Margriet; Zolnay, Andras; Oelfke, Uwe; Jiang, Steve; Rossi, Linda; Heijmen, Ben J. M.; Breedveld, Sebastiaan 分享 收藏
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Progressive auto-segmentation for cone-beam computed tomography-based online adaptive radiotherapy 基于锥形束ct的在线自适应放射治疗渐进自动分割 Zhao, Hengrui; Liang, Xiao; Meng, Boyu; Dohopolski, Michael; Choi, Byongsu; Cai, Bin; Lin, Mu-Han; Bai, Ti; Nguyen, Dan; Jiang, Steve 分享 收藏
Performance deterioration of deep learning models after clinical deployment: a case study with auto-segmentation for definitive prostate cancer radiotherapy Wang, Biling; Dohopolski, Michael; Bai, Ti; Wu, Junjie; Hannan, Raquibul; Desai, Neil; Garant, Aurelie; Yang, Daniel; Nguyen, Dan; Lin, Mu-Han; Timmerman, Robert; Wang, Xinlei; Jiang, Steve B. 分享 收藏
Multimodal radiotherapy dose prediction using a multi-task deep learning model Maniscalco, Austen; Mathew, Ezek; Parsons, David; Visak, Justin; Arbab, Mona; Alluri, Prasanna; Li, Xingzhe; Wandrey, Narine; Lin, Mu-Han; Rahimi, Asal; Jiang, Steve; Nguyen, Dan 分享 收藏
Deep learning guided radiation therapy machine selection via a multi-headed dose prediction model Maniscalco, Austen; Mathew, Ezek; Parsons, David; Rahimi, Asal; Arbab, Mona; Alluri, Prasanna; Li, Xingzhe; Lin, Mu-Han; Jiang, Steve; Nguyen, Dan 分享 收藏
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Deep learning based automatic segmentation of the Internal Pudendal Artery in definitive radiotherapy treatment planning of localized prostate cancer Balagopal, Anjali; Dohopolski, Michael; Kwon, Young Suk; Montalvo, Steven; Morgan, Howard; Bai, Ti; Nguyen, Dan; Liang, Xiao; Zhong, Xinran; Lin, Mu-Han; Desai, Neil; Jiang, Steve 分享 收藏
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