Difference between revisions of "Publications/2018"

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(Two missing MICCAI Workshop papers.)
(Added some DOIs.)
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{{iacl-pub|author=A.D. Gomez, A.K. Knutsen, D.L. Pham, P.V. Bayly, and J.L. Prince|title=Quantitative validation of MRI-based motion estimation for brain impact biomechanics|when=Computational Biomechanics for Medicine (CBM XIII) held in conjunction with the {{iacl-pub miccai2018}}|doi=|period=}}
 
{{iacl-pub|author=A.D. Gomez, A.K. Knutsen, D.L. Pham, P.V. Bayly, and J.L. Prince|title=Quantitative validation of MRI-based motion estimation for brain impact biomechanics|when=Computational Biomechanics for Medicine (CBM XIII) held in conjunction with the {{iacl-pub miccai2018}}|doi=|period=}}
 
{{iacl-pub|author=Y. Hiasa, Y. Otake, M. Takao, T. Matsuoka, K. Takashima, A. Carass, J. Prince, N. Sugano, and Y. Sato|title=Crossmodality image synthesis from unpaired data using CycleGAN: Effects of gradient consistency loss and training data size|when=Simulation and Synthesis in Medical Imaging (SASHIMI 2018) held in conjunction with the {{iacl-pub miccai2018}}|doi=|period=}}
 
{{iacl-pub|author=Y. Hiasa, Y. Otake, M. Takao, T. Matsuoka, K. Takashima, A. Carass, J. Prince, N. Sugano, and Y. Sato|title=Crossmodality image synthesis from unpaired data using CycleGAN: Effects of gradient consistency loss and training data size|when=Simulation and Synthesis in Medical Imaging (SASHIMI 2018) held in conjunction with the {{iacl-pub miccai2018}}|doi=|period=}}
−
{{iacl-pub|author=B.E. Dewey, C. Zhao, A. Carass, J. Oh, P.A. Calabresi, P. van Zijl, and J.L. Prince|title=Deep Harmonization of Inconsistent MR Data for Consistent Volume Segmentation|when=Simulation and Synthesis in Medical Imaging (SASHIMI 2018) held in conjunction with the {{iacl-pub miccai2018}}|doi=|period=}}
+
{{iacl-pub|author=B.E. Dewey, C. Zhao, A. Carass, J. Oh, P.A. Calabresi, P. van Zijl, and J.L. Prince|title=Deep Harmonization of Inconsistent MR Data for Consistent Volume Segmentation|when=Simulation and Synthesis in Medical Imaging (SASHIMI 2018) held in conjunction with the {{iacl-pub miccai2018}}|doi=10.1007/978-3-030-00536-8_3|period=}}
 
{{iacl-pub|author=M. Shao, S. Han, A. Carass, X. Li, B.E. Dewey, A.M. Blitz, J.L. Prince, and L.M. Ellingsen|title=Shortcomings of Ventricle Segmentation Using Deep Convolutional Networks|when=Deep Learning Fails Workshop in conjunction with the {{iacl-pub miccai2018}}|doi=|period=}}
 
{{iacl-pub|author=M. Shao, S. Han, A. Carass, X. Li, B.E. Dewey, A.M. Blitz, J.L. Prince, and L.M. Ellingsen|title=Shortcomings of Ventricle Segmentation Using Deep Convolutional Networks|when=Deep Learning Fails Workshop in conjunction with the {{iacl-pub miccai2018}}|doi=|period=}}
−
{{iacl-pub|author=H. Yang, J. Sun, A. Carass, C. Zhao, J. Lee, Z. Xu, and J. L. Prince|title=Unpaired Brain MR-to-CT Synthesis using a Structure-Constrained CycleGAN|when=4<sup>th</sup>&nbsp;Workshop on Deep Learning in Medical Image Analysis (DLMIA&nbsp;2018) in conjunction with the {{iacl-pub miccai2018}}|doi=|period=}}
+
{{iacl-pub|author=H. Yang, J. Sun, A. Carass, C. Zhao, J. Lee, Z. Xu, and J. L. Prince|title=Unpaired Brain MR-to-CT Synthesis using a Structure-Constrained CycleGAN|when=4<sup>th</sup>&nbsp;Workshop on Deep Learning in Medical Image Analysis (DLMIA&nbsp;2018) in conjunction with the {{iacl-pub miccai2018}}|doi=10.1007/978-3-030-00889-5_20|period=}}
 
{{iacl-pub|author=A.D. Gomez, M. Stone, P. Bayly, and J.L. Prince|title=Quantifying Tensor Field Similarity With Global Distributions and Optimal Transport|conf=miccai2018}}
 
{{iacl-pub|author=A.D. Gomez, M. Stone, P. Bayly, and J.L. Prince|title=Quantifying Tensor Field Similarity With Global Distributions and Optimal Transport|conf=miccai2018}}
−
{{iacl-pub|author=C. Zhao, A. Carass, B.E. Dewey, J. Woo, J. Oh, P.A. Calabresi, D.S. Reich, P. Sati, D.L. Pham, and J.L. Prince|title=A Deep Learning based Anti-aliasing Self Super-resolution Algorithm for Magnetic Resonance Imaging|conf=miccai2018}}
+
{{iacl-pub|author=C. Zhao, A. Carass, B.E. Dewey, J. Woo, J. Oh, P.A. Calabresi, D.S. Reich, P. Sati, D.L. Pham, and J.L. Prince|title=A Deep Learning based Anti-aliasing Self Super-resolution Algorithm for Magnetic Resonance Imaging|conf=miccai2018|doi=10.1007/978-3-030-00928-1_12}}
 
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Revision as of 19:23, 24 September 2018

<meta name="title" content="IACL Publications"/>

2018

  • M. Chen, J.C. Gee, J.L. Prince, and G.K. Aguirre, "2D Modeling and Correction of Fan-beam Scan Geometry in OCT", 5th Workshop on Ophthalmic Medical Image Analysis (MW-OMIA5) held in conjunction with the 21st International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2018), Granada, Spain, September 16–20, 2018.
  • A.D. Gomez, A.K. Knutsen, D.L. Pham, P.V. Bayly, and J.L. Prince, "Quantitative validation of MRI-based motion estimation for brain impact biomechanics", Computational Biomechanics for Medicine (CBM XIII) held in conjunction with the 21st International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2018), Granada, Spain, September 16–20, 2018.
  • Y. Hiasa, Y. Otake, M. Takao, T. Matsuoka, K. Takashima, A. Carass, J. Prince, N. Sugano, and Y. Sato, "Crossmodality image synthesis from unpaired data using CycleGAN: Effects of gradient consistency loss and training data size", Simulation and Synthesis in Medical Imaging (SASHIMI 2018) held in conjunction with the 21st International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2018), Granada, Spain, September 16–20, 2018.
  • B.E. Dewey, C. Zhao, A. Carass, J. Oh, P.A. Calabresi, P. van Zijl, and J.L. Prince, "Deep Harmonization of Inconsistent MR Data for Consistent Volume Segmentation", Simulation and Synthesis in Medical Imaging (SASHIMI 2018) held in conjunction with the 21st International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2018), Granada, Spain, September 16–20, 2018. DOI: "Deep Harmonization of Inconsistent MR Data for Consistent Volume Segmentation"
  • M. Shao, S. Han, A. Carass, X. Li, B.E. Dewey, A.M. Blitz, J.L. Prince, and L.M. Ellingsen, "Shortcomings of Ventricle Segmentation Using Deep Convolutional Networks", Deep Learning Fails Workshop in conjunction with the 21st International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2018), Granada, Spain, September 16–20, 2018.
  • H. Yang, J. Sun, A. Carass, C. Zhao, J. Lee, Z. Xu, and J. L. Prince, "Unpaired Brain MR-to-CT Synthesis using a Structure-Constrained CycleGAN", 4th Workshop on Deep Learning in Medical Image Analysis (DLMIA 2018) in conjunction with the 21st International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2018), Granada, Spain, September 16–20, 2018. DOI: "Unpaired Brain MR-to-CT Synthesis using a Structure-Constrained CycleGAN"
  • A.D. Gomez, M. Stone, P. Bayly, and J.L. Prince, "Quantifying Tensor Field Similarity With Global Distributions and Optimal Transport", 21st International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2018), Granada, Spain, September 16–20, 2018.
  • C. Zhao, A. Carass, B.E. Dewey, J. Woo, J. Oh, P.A. Calabresi, D.S. Reich, P. Sati, D.L. Pham, and J.L. Prince, "A Deep Learning based Anti-aliasing Self Super-resolution Algorithm for Magnetic Resonance Imaging", 21st International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2018), Granada, Spain, September 16–20, 2018. DOI: "A Deep Learning based Anti-aliasing Self Super-resolution Algorithm for Magnetic Resonance Imaging"
  • A. Carass, J.L. Cuzzocreo, S. Han, C.R. Hernandez-Castillo, P.E. Rasser, M. Ganz, V. Beliveau, J. Dolz, I. Ben Ayed, C. Desrosiers, B. Thyreau, J. E. Romero, P. Coupé, J.V. Manjón, V.S. Fonov, D.L. Collins, S.H. Ying, D. Crocetti, B.A. Landman, S.H. Mostofsky, P.A. Thompson, and J.L. Prince, "Comparing fully automated state-of-the-art cerebellum parcellation from magnetic resonance imaging", NeuroImage, 183:150-172, 2018. DOI: "Comparing fully automated state-of-the-art cerebellum parcellation from magnetic resonance imaging" (PubMed)
  • J. Wongsripuemtet, A.E. Tyan, A. Ranjha, A. Carass, S. Agarwal, S.K. Gujar, J.J. Pillai, and H.I. Sair, "Preoperative mapping of the supplementary motor area in brain tumor patients using resting-state fMRI with seed based analysis", American Journal of Neuroradiology, 39(8):1493-1498, 2018. DOI: "Preoperative mapping of the supplementary motor area in brain tumor patients using resting-state fMRI with seed based analysis" (PubMed)
  • C. Zhao, A. Carass, B.E. Dewey, and J.L. Prince, "Self Super-Resolution for Magnetic Resonance Images using Deep Networks", 15th IEEE International Symposium on Biomedical Imaging (ISBI 2018), Washington, D.C., April 4–7, 2018. DOI: "Self Super-Resolution for Magnetic Resonance Images using Deep Networks"
  • Y. Liu, A. Carass, S.D. Solomon, S. Saidha, P.A. Calabresi, and J.L. Prince, "Multi-Layer Fast Level Set Segmentation for Macular OCT", 15th IEEE International Symposium on Biomedical Imaging (ISBI 2018), Washington, D.C., April 4–7, 2018. DOI: "Multi-Layer Fast Level Set Segmentation for Macular OCT"
  • F. Xing, J.L. Prince, M. Stone, T. Reese, N. Atassi, V. Wedeen, G. El Fakhri, and J. Woo, "Strain map of the tongue in normal and ALS speech patterns from tagged and diffusion MRI", Proceedings of SPIE Medical Imaging (SPIE-MI 2018), Houston, TX, February 10–15, 2018. DOI: "Strain map of the tongue in normal and ALS speech patterns from tagged and diffusion MRI"
  • X. Wang, M. Stone, J.L. Prince, and A.D. Gomez, "A novel filtering approach for 3D harmonic phase analysis of tagged MRI", Proceedings of SPIE Medical Imaging (SPIE-MI 2018), Houston, TX, February 10–15, 2018. DOI: "A novel filtering approach for 3D harmonic phase analysis of tagged MRI"
  • A.A. Tolpadi, M.L. Stone, A. Carass, J.L. Prince, and A.D. Gomez, "Inverse Biomechanical Modeling via Machine Learning using Synthetic Training Data", Proceedings of SPIE Medical Imaging (SPIE-MI 2018), Houston, TX, February 10–15, 2018. DOI: "Inverse Biomechanical Modeling via Machine Learning using Synthetic Training Data"
  • L. Zuo, A. Carass, S. Han, and J.L. Prince, "Automatic outlier detection using hidden Markov model for cerebellar lobule segmentation", Proceedings of SPIE Medical Imaging (SPIE-MI 2018), Houston, TX, February 10–15, 2018. DOI: "Automatic outlier detection using hidden Markov model for cerebellar lobule segmentation"
  • M. Shao, A. Carass, X. Li, B.E. Dewey, A.M. Blitz, J.L. Prince, and L.M. Ellingsen, "Multi-atlas segmentation of the hydrocephalus brain using an adaptive ventricles atlas", Proceedings of SPIE Medical Imaging (SPIE-MI 2018), Houston, TX, February 10–15, 2018. DOI: "Multi-atlas segmentation of the hydrocephalus brain using an adaptive ventricles atlas"
  • S. Goyal, C. Zhao, A. Jog, J. L. Prince, and A. Carass, "Improving Self Super Resolution in Magnetic Resonance Images", Proceedings of SPIE Medical Imaging (SPIE-MI 2018), Houston, TX, February 10–15, 2018. DOI: "Improving Self Super Resolution in Magnetic Resonance Images"
  • S. Reaungamornrat, A. Carass, Y. He, S. Saidha, P.A. Calabresi, and J.L. Prince, "Inter-scanner Variation Independent Descriptors for Constrained Diffeomorphic Demons Registration of Retinal OCT", Proceedings of SPIE Medical Imaging (SPIE-MI 2018), Houston, TX, February 10–15, 2018. DOI: "Inter-scanner Variation Independent Descriptors for Constrained Diffeomorphic Demons Registration of Retinal OCT"
  • J. Glaister, M. Shao, X. Li, A. Carass, S. Roy, A.M. Blitz, J.L. Prince, and L. M. Ellingsen, "Deformable model reconstruction of the subarachnoid space", Proceedings of SPIE Medical Imaging (SPIE-MI 2018), Houston, TX, February 10–15, 2018. DOI: "Deformable model reconstruction of the subarachnoid space"
  • J. Woo, F. Xing, M. Stone, J. Green, T.G. Reese, T.J. Brady, V.J. Wedeen, J.L. Prince, and G. El Fakhri, "Speech Map: a statistical multimodal atlas of 4D tongue motion during speech from tagged and cine MR images", Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, 1-13, 2018. DOI: "Speech Map: a statistical multimodal atlas of 4D tongue motion during speech from tagged and cine MR images"
  • C Ye and J.L. Prince, "Dictionary-based fiber orientation estimation with improved spatial consistency", Medical Image Analysis, 44:41-53, 2018. DOI: "Dictionary-based fiber orientation estimation with improved spatial consistency" (PubMed)
  • A. Lang, A. Carass, B.M. Jedynak, S.D. Solomon, P.A. Calabresi, and J.L. Prince, "Intensity inhomogeneity correction of SD-OCT data using macular flatspace", Medical Image Analysis, 43:85-97, 2018. DOI: "Intensity inhomogeneity correction of SD-OCT data using macular flatspace" (PubMed)
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