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3D Transrectal Ultrasound (TRUS) prostate segmentation based on optimal feature learning framework.

X. Yang, P. Rossi, A. Jani, H. Mao, W. Curran, and T. Liu. Medical Imaging: Image Processing, volume 9784 of SPIE Proceedings, page 97842F. SPIE, (2016)

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Declan Curran

Brian Curran

Christopher Curran

Kevin Curran

Thomas H Curran

Other publications of authors with the same name

A new CT prostate segmentation for CT-based HDR brachytherapy.X. Yang, P. Rossi, T. Ogunleye, A. Jani, W. Curran, and T. Liu. Medical Imaging: Image-Guided Procedures, volume 9036 of SPIE Proceedings, page 90362K. SPIE, (2014)Deep Learning in Multi-organ Segmentation.Y. Lei, Y. Fu, T. Wang, R. Qiu, W. Curran, T. Liu, and X. Yang. CoRR, (2020)Deformable MRI-CT liver image registration using convolutional neural network with modality independent neighborhood descriptors.Y. Fu, Y. Lei, T. Wang, J. Zhou, W. Curran, P. Patel, T. Liu, and X. Yang. Medical Imaging: Computer-Aided Diagnosis, volume 11597 of SPIE Proceedings, SPIE, (2021)Daily cone-beam CT multi-organ segmentation for prostate adaptive radiotherapy.Y. Fu, Y. Lei, T. Wang, S. Tian, P. Patel, A. Jani, W. Curran, T. Liu, and X. Yang. Medical Imaging: Image Processing, volume 11596 of SPIE Proceedings, SPIE, (2021)Synthetic CT-based multi-organ segmentation in cone beam CT for adaptive pancreatic radiotherapy.X. Dai, Y. Lei, J. Janopaul-Naylor, T. Wang, J. Roper, J. Zhou, W. Curran, T. Liu, P. Patel, and X. Yang. Medical Imaging: Image Processing, volume 11596 of SPIE Proceedings, SPIE, (2021)Post-op brain tumor bed detection and segmentation using 3D Mask R-CNN for dynamic magnetic resonance perfusion imaging.J. Jeong, Y. Lei, K. Xu, T. Liu, H. Shim, W. Curran, H. Shu, and X. Yang. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, volume 11600 of SPIE Proceedings, SPIE, (2021)A MRI-CT prostate registration using sparse representation technique.X. Yang, A. Jani, P. Rossi, H. Mao, W. Curran, and T. Liu. Medical Imaging: Image-Guided Procedures, volume 9786 of SPIE Proceedings, page 978627. SPIE, (2016)Deep learning-based multi-catheter reconstruction for MRI-guided HDR prostate brachytherapy.X. Dai, Y. Lei, Y. Zhang, T. Wang, W. Curran, P. Patel, T. Liu, and X. Yang. Medical Imaging: Image-Guided Procedures, volume 11598 of SPIE Proceedings, SPIE, (2021)Deep learning-based volumetric image generation from projection imaging for prostate radiotherapy.X. Dai, Y. Lei, Z. Tian, T. Wang, T. Liu, W. Curran, and X. Yang. Medical Imaging: Image-Guided Procedures, volume 11598 of SPIE Proceedings, SPIE, (2021)Synthetic MRI-aided multi-organ segmentation in head-and-neck cone beam CT.X. Dai, Y. Lei, T. Wang, J. Zhou, W. Curran, T. Liu, and X. Yang. Medical Imaging: Image-Guided Procedures, volume 11598 of SPIE Proceedings, SPIE, (2021)

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Disambiguation of "Curran, Walter J."

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3D Transrectal Ultrasound (TRUS) prostate segmentation based on optimal feature learning framework.

Please choose a person to relate this publication to

Declan Curran

Brian Curran

Christopher Curran

Kevin Curran

Thomas H Curran

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Curran, Walter J."

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML 3D Transrectal Ultrasound (TRUS) prostate segmentation based on optimal feature learning framework.

Please choose a person to relate this publication to

Declan Curran

Brian Curran

Christopher Curran

Kevin Curran

Thomas H Curran

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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3D Transrectal Ultrasound (TRUS) prostate segmentation based on optimal feature learning framework.