Synapse - Jue Jiang

Results (31)

Cross-modality (CT-MRI) prior augmented deep learning for robust lung tumor segmentation from small MR datasets

Journal Article

Jiang, J.; Hu, Y. C.; Tyagi, N.; Zhang, P.; Rimner, A.; Deasy, J. O.; Veeraraghavan, H.
Medical Physics (2019)

Toward predicting the evolution of lung tumors during radiotherapy observed on a longitudinal MR imaging study via a deep learning algorithm

Journal Article

Wang, C.; Rimner, A.; Hu, Y. C.; Tyagi, N.; Jiang, J.; Yorke, E.; Riyahi, S.; Mageras, G.; Deasy, J. O.; Zhang, P.
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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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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Robustness of conditional generative adversarial networks in generating head and neck synthetic CT images for MR-only radiotherapy treatment planning

Meeting Abstract

Klages, P.; Benslimane, I.; Riyahi, S.; Jiang, J.; Hunt, M.; Deasy, J.; Veeraraghavan, H.; Tyagi, N.
Medical Physics (2019)

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Cross-modality (MR-CT) educed deep learning (CMEDL) for segmentation of lung tumors on CT

Meeting Abstract

Jiang, J.; Tyagi, N.; Hu, Y.; Rimner, A.; Berry, S.; Deasy, J.; Veeraraghavan, H.
Medical Physics (2019)

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Tumor-aware, adversarial domain adaptation from CT to MRI for lung cancer segmentation

Conference Paper

Jiang, J.; Hu, Y. C.; Tyagi, N.; Zhang, P.; Rimner, A.; Mageras, G. S.; Deasy, J. O.; Veeraraghavan, H.
Springer (2018)

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Conditional generative adversarial networks (cGANs) for magnetic resonance (MR) based synthetic computed tomography (sCT) images in head and neck dose calculations

Meeting Abstract

Klages, P.; Jiang, J.; Farjam, R.; Deasy, J.; Hunt, M.; Veeraraghavan, H.; Tyagi, N.
Medical Physics (2018)

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Best in physics (Joint imaging-therapy): Deep learning mapping of CT to MRI for longitudinal tracking of lung tumors for MRI-guided radiotherapy

Meeting Abstract

Jiang, J.; Hu, Y.; Tyagi, N.; Zhang, P.; Rimner, A.; Deasy, J.; Mageras, G.; Veeraraghavan, H.
Medical Physics (2018)

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