Publications/2021

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2021

  • A. Alshareef, A.K. Knutsen, C.L. Johnson, A. Carass, K. Upadhyay, P.V. Bayly, D.L. Pham, J.L. Prince and K.T.Ramesh, "Integrating Linear Viscoelastic Material Properties Derived from Magnetic Resonance Elastography into Subject-Specific Brain Models", Brain Multiphysics, 100028, 2021. (doi)
  • A. Alshareef, A.K. Knutsen, C. Johnson, A. Carass, K. Upadhyay, K.T. Ramesh, and J.L. Prince, "Integrating Linear Viscoelastic Material Properties Derived from Magnetic Resonance Elastography into Subject-Specific Finite Element Brain Models", Biomedical Engineering Society (BMES) Annual Meeting, Orlando, FL, October 6-9, 2021. Integrating Linear Viscoelastic Material Properties Derived from Magnetic Resonance Elastography into Subject-Specific Finite Element Brain Models
  • J.C. Reinhold, A. Carass, and J.L. Prince, "A Structural Causal Model for MR Images of Multiple Sclerosis", 24th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2021), Strasbourg, France, September 27 – October 1, 2021. (doi) A Structural Causal Model for MR Images of Multiple Sclerosis
  • S.W. Remedios, S. Han, B.E. Dewey, D.L. Pham, J.L. Prince, and A. Carass, "Joint Image and Label Self-Super-Resolution", Simulation and Synthesis in Medical Imaging (SASHIMI 2021) in conjunction with the 24th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2021), Strasbourg, France, September 27 – October 1, 2021. (doi) Joint Image and Label Self-Super-Resolution
  • L. Zuo, B.E. Dewey, Y. Liu, Y. He, S.D. Newsome, E.M. Mowry, S.M. Resnick, J.L. Prince, and A. Carass, "Unsupervised MR harmonization by learning disentangled representations using information bottleneck theory", NeuroImage, 243:118569, 2021. (doi)
  • P.V. Bayly, A. Alshareef, A.K. Knutsen, K. Upadhyay, R.J. Okamoto, A. Carass, J.A. Butman, D.L. Pham, J.L. Prince, K.T. Ramesh, and C.L. Johnson, "MR imaging of human brain mechanics in vivo: new measurements to facilitate the development of computational models of brain injury", Annals of Biomedical Engineering, 49:2677-2692, 2021. (doi)
  • Y. He, A. Carass, L. Zuo, B.E. Dewey, and J.L. Prince, "Autoencoder Based Self-Supervised Test-Time Adaptation for Medical Image Analysis", Medical Image Analysis, 72:102136, 2021. (doi)
  • S. Han, S. Remedios, A. Carass, M. Schär, and J.L. Prince, "MR Slice Profile Estimation by Learning to Match Internal Patch Distributions", 27th Conference on Information Processing in Medical Imaging (IPMI 2021), Virtually in Bornholm, Denmark, June 28 - July 2, 2021. (doi) MR Slice Profile Estimation by Learning to Match Internal Patch Distributions
  • L. Zuo, B.E. Dewey, A. Carass, Y. Liu, Y. He, P.A. Calabresi, and J.L. Prince, "Information-based Disentangled Representation Learning for Unsupervised MR Harmonization", 27th Conference on Information Processing in Medical Imaging (IPMI 2021), Virtually in Bornholm, Denmark, June 28 - July 2, 2021. (doi) Information-based Disentangled Representation Learning for Unsupervised MR Harmonization
  • S. Han, A. Carass, M. Schär, P.A. Calabresi, and J.L. Prince, "Slice profile estimation from 2D MRI acquisition using generative adversarial networks", 18th IEEE International Symposium on Biomedical Imaging (ISBI 2021), Nice, France, April 13-16, 2021. (doi) Slice profile estimation from 2D MRI acquisition using generative adversarial networks
  • X. Liu, F. Xing, J.L. Prince, A. Carass, M. Stone, G. El Fakhri, and J. Woo, "Dual-Cycle constrained bijective VAE-GAN for Tagged-to-Cine magnetic resonance image synthesis", 18th IEEE International Symposium on Biomedical Imaging (ISBI 2021), Nice, France, April 13-16, 2021. (doi)
  • C Zhao, B.E. Dewey, D.L. Pham, P.A. Calabresi, D.S. Reich, and J.L. Prince, "SMORE: A Self-supervised Anti-aliasing and Super-resolution Algorithm for MRI Using Deep Learning", IEEE Trans. on Medical Imaging, 40(3):805-817, 2021. (doi)
  • S. Wang, S. Han, A. Carass, and J. L. Prince, "Thalamus Segmentation Using Convolutional Neural Network", Proceedings of SPIE Medical Imaging (SPIE-MI 2021), San Diego, CA, February 14–18, 2021. (doi) Thalamus Segmentation Using Convolutional Neural Network
  • M. Singh, E. Pahl, S. Wang, A. Carass, J. Lee, and J. L. Prince, "Accurate Estimation of Total Intracranial Volume in MRI using a Multi-tasked Image-to-Image Translation Network", Proceedings of SPIE Medical Imaging (SPIE-MI 2021), San Diego, CA, February 14–18, 2021. (doi) Accurate Estimation of Total Intracranial Volume in MRI using a Multi-tasked Image-to-Image Translation Network
  • D. Liu, J. Liu, R. Tao, J. L. Prince, and A. Carass, "Label super resolution for 3D Magnetic Resonance Images using Deformable U-net", Proceedings of SPIE Medical Imaging (SPIE-MI 2021), San Diego, CA, February 14–18, 2021. (doi) Label super resolution for 3D Magnetic Resonance Images using Deformable U-net
  • M. Shao, A. D. Gomez, J. Zhuo, X. Liang, M. Stone, A. Carass, and J. L. Prince, "Reconstruction and refinement of crossing muscle fibers in the human tongue", Proceedings of SPIE Medical Imaging (SPIE-MI 2021), San Diego, CA, February 14–18, 2021. (doi) Reconstruction and refinement of crossing muscle fibers in the human tongue
  • M. Shao, A. Carass, J. Zhuo, X. Liang, D. H. Ghunaim, M. Stone, and J. L. Prince, "Dynamic palatogram generation from Cine MRI for normalized speech assessment", Proceedings of SPIE Medical Imaging (SPIE-MI 2021), San Diego, CA, February 14–18, 2021. (doi) Dynamic palatogram generation from Cine MRI for normalized speech assessment
  • Y. He, A. Carass, Y. Liu, B.M. Jedynak, S.D. Solomon, S. Saidha, P.A.Calabresi, and J.L.Prince, "Structured layer surface segmentation for retina OCT using fully convolutional regression networks", Medical Image Analysis, 68:101856, 2021. (doi)