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Disambiguation of "Duncan, James S."

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Dual-Domain Self-Supervised Learning for Accelerated Non-Cartesian MRI Reconstruction.

, , , , , , , and . CoRR, (2023)

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James S Hirstein

Michael James

Audrein James

Katherine James

Hazel Duncan

 

Other publications of authors with the same name

A Comprehensive System for Intraoperative 3D Brain Deformation Recovery., , , , and . MICCAI (2), volume 4792 of Lecture Notes in Computer Science, page 553-561. Springer, (2007)Segmentation and 3D Reconstruction of Microtubules in Total Internal Reflection Fluorescence Microscopy (TIRFM)., , and . MICCAI, volume 3749 of Lecture Notes in Computer Science, page 761-769. Springer, (2005)Non-rigid Registration with Missing Correspondences in Preoperative and Postresection Brain Images., and . MICCAI (1), volume 6361 of Lecture Notes in Computer Science, page 367-374. Springer, (2010)Estimation of 3D Geometry of Microtubules Using Multi-angle Total Internal Reflection Fluorescence Microscopy., , , and . MICCAI (2), volume 6362 of Lecture Notes in Computer Science, page 538-545. Springer, (2010)Corrigendum to "Contour tracking in echocardiographic sequences via sparse representation and dictionary learning" Med. Image Anal.18(2) (2014) 253-271., , , , , , , , and . Medical Image Anal., 22 (1): 21 (2015)Patient-Specific Heart Geometry Modeling for Solid Biomechanics Using Deep Learning., , , , , , , , , and 2 other author(s). IEEE Trans. Medical Imaging, 43 (1): 203-215 (January 2024)Limited View Tomographic Reconstruction Using a Cascaded Residual Dense Spatial-Channel Attention Network With Projection Data Fidelity Layer., , , and . IEEE Trans. Medical Imaging, 40 (7): 1792-1804 (2021)FedFTN: Personalized federated learning with deep feature transformation network for multi-institutional low-count PET denoising., , , , , , , , , and 3 other author(s). Medical Image Anal., (December 2023)Phantom-based investigation of nonrigid registration constraints in mapping fMRI to anatomical MRI., , and . Medical Imaging: Image Processing, volume 3979 of SPIE Proceedings, SPIE, (2000)A probabilistic approach for interpretable deep learning in liver cancer diagnosis., , , and . Medical Imaging: Computer-Aided Diagnosis, volume 10950 of SPIE Proceedings, page 109500U. SPIE, (2019)