Synapse - American Association of Physicists in Medicine

Results (203)

Quantification of local metabolic tumor volume changes by registering blended 18F-FDG PET/CT images for prediction of pathologic tumor response

Meeting Abstract

Riyahi, S.; Choi, W.; Liu, C.; Nadeem, S.; Tan, S.; Zhong, H.; Chen, W.; Wu, A.; Mechalakos, J.; Deasy, J.; more...
Medical Physics (2019)

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Interventional radiology radiation safety training using virtual reality

Meeting Abstract

Guo, Y.; Mao, L.; Li, Y.; Gongsen, Z.; Gao, Y.; Dauer, L.; Caracappa, P.; Balter, S.; Pei, X.; Chen, Z.; more...
Medical Physics (2019)

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Toward predictive dose accumulation - Predicting displacement fields of anatomical change in head-and-neck adaptive radiotherapy

Meeting Abstract

Hu, Y.; Zhang, P.; Wang, C.; Mechalakos, J.; Mageras, G.; Lee, N.; Deasy, J.; Hunt, M.
Medical Physics (2019)

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Self-attention based deep learning probabilistic parotid gland segmentation quality evaluation using dose volume histogram analysis

Meeting Abstract

Berry, S.; Jiang, J.; Elguindi, S.; Hunt, M.; Deasy, J.; Veeraraghavan, H.
Medical Physics (2019)

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Design of a deep learning algorithm to track intrafractional lung tumor motion via the on-board kV imaging system

Meeting Abstract

Wang, C.; Hunt, M.; Zhang, L.; Rimner, A.; Yorke, E.; Lovelock, D.; Li, X.; Li, T.; Mageras, G.; Zhang, P.
Medical Physics (2019)

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Predicting volumetric expansion of esophagus during lung radiotherapy

Meeting Abstract

Wang, C.; Riyahi, S.; Hu, Y.; Nadeem, S.; Tyagi, N.; Kuo, R.; Rimner, A.; Deasy, J.; Zhang, P.
Medical Physics (2019)

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Novel hybrid deformable image registration with automatic body-cavity segmentation to overcome sliding motion for robust reconstruction of time-resolved 4DMRI

Meeting Abstract

Nie, X.; Deasy, J.; Li, G.
Medical Physics (2019)

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Preventing patient skin erythema in CT fluoroscopy-guided biopsies

Meeting Abstract

Gao, Y.; Mahmood, U.; Xu, X.; Dauer, L.
Medical Physics (2019)

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Synthetic CTs generated by deep learning approaches: How good are they for radiomics analysis?

Meeting Abstract

Tixier, F.; Klages, P.; Riyahi, S.; Jiang, J.; Um, H.; Tyagi, N.; Young, R.; Veeraraghavan, H.
Medical Physics (2019)

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Longitudinal segmentation of parotid gland changes from MRI through unsupervised cross-modality deep learning through structure-specific appearance constraints

Meeting Abstract

Jiang, J.; Um, H.; Hu, Y.; Tyagi, N.; Wang, C.; Lee, N.; Deasy, J.; Berry, S.; Veeraraghavan, H.
Medical Physics (2019)

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