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Ultrasound multi-needle detection using deep attention U-Net with TV regularizations.

Y. Zhang, Y. Lei, X. He, Z. Tian, J. Jeong, T. Wang, Q. Zeng, A. Jani, W. Curran, P. Patel, T. Liu, and X. Yang. Medical Imaging: Image-Guided Procedures, volume 11598 of SPIE Proceedings, SPIE, (2021)

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Jason Jeong-Suk Yoon

Ian Jason

Su-Jeong Jeong

Jason Miskuly

Jason Crook

Other publications of authors with the same name

Machine-learning-based classification of Glioblastoma using MRI-based radiomic features.G. Cui, J. Jeong, Y. Lei, T. Wang, T. Liu, W. Curran, H. Mao, and X. Yang. Medical Imaging: Computer-Aided Diagnosis, volume 10950 of SPIE Proceedings, page 1095048. SPIE, (2019)Automatic MRI prostate segmentation using 3D deeply supervised FCN with concatenated atrous convolution.B. Wang, Y. Lei, J. Jeong, T. Wang, Y. Liu, S. Tian, P. Patel, X. Jiang, A. Jani, H. Mao and 3 other author(s). Medical Imaging: Computer-Aided Diagnosis, volume 10950 of SPIE Proceedings, page 109503X. SPIE, (2019)Systematic Review of Generative Adversarial Networks (GANs) for Medical Image Classification and Segmentation.J. Jeong, A. Tariq, T. Adejumo, H. Trivedi, J. Gichoya, and I. Banerjee. J. Digit. Imaging, 35 (2): 137-152 (2022)The Role of Artificial Intelligence in Echocardiography.T. Barry, J. Farina, C. Chao, C. Ayoub, J. Jeong, B. Patel, I. Banerjee, and R. Arsanjani. J. Imaging, 9 (2): 50 (2023)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)Machine-learning based classification of glioblastoma using dynamic susceptibility enhanced MR image.J. Jeong, B. Ji, Y. Lei, L. Wang, T. Liu, A. Ali, W. Curran, H. Mao, and X. Yang. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, volume 10953 of SPIE Proceedings, page 1095329. SPIE, (2019)Weakly non-rigid MR-TRUS prostate registration using fully convolutional and recurrent neural networks.Q. Zeng, Y. Fu, J. Jeong, Y. Lei, T. Wang, H. Mao, A. Jani, P. Patel, W. Curran, T. Liu and 1 other author(s). Medical Imaging: Image Processing, volume 11313 of SPIE Proceedings, page 113132Y. SPIE, (2020)Knowledge-grounded Adaptation Strategy for Vision-language Models: Building Unique Case-set for Screening Mammograms for Residents Training.A. Khan, J. Garrett, T. Bradshaw, L. Salkowski, J. Jeong, A. Tariq, and I. Banerjee. CoRR, (2024)Ultrasound multi-needle detection using deep attention U-Net with TV regularizations.Y. Zhang, Y. Lei, X. He, Z. Tian, J. Jeong, T. Wang, Q. Zeng, A. Jani, W. Curran, P. Patel and 2 other author(s). Medical Imaging: Image-Guided Procedures, volume 11598 of SPIE Proceedings, SPIE, (2021)Brain tumor segmentation using 3D mask R-CNN for dynamic susceptibility contrast enhanced perfusion imaging.J. Jeong, Y. Lei, H. Shu, T. Liu, L. Wang, W. Curran, H. Mao, and X. Yang. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, volume 11317 of SPIE Proceedings, page 1131720. SPIE, (2020)

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Disambiguation of "Jeong, Jiwoong Jason"

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Ultrasound multi-needle detection using deep attention U-Net with TV regularizations.

Please choose a person to relate this publication to

Jason Jeong-Suk Yoon

Ian Jason

Su-Jeong Jeong

Jason Miskuly

Jason Crook

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Jeong, Jiwoong Jason"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Ultrasound multi-needle detection using deep attention U-Net with TV regularizations.

Please choose a person to relate this publication to

Jason Jeong-Suk Yoon

Ian Jason

Su-Jeong Jeong

Jason Miskuly

Jason Crook

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
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Chicago
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Ultrasound multi-needle detection using deep attention U-Net with TV regularizations.