Publications/2024

From IACL
Jump to navigation Jump to search

2024

  • Y. Liu, J. Chen, L. Zuo, P. A. Calabresi, S. Saidha, A. Carass, and J.L. Prince, "Vector Field Attention for Deformable Image Registration", SPIE Journal of Medical Imaging, 11(6):064001, 2024. DOI: "Vector Field Attention for Deformable Image Registration" arXiv: "Vector Field Attention for Deformable Image Registration"
  • J. Chen, Y. Liu, S. Wei, A. Carass, and Y. Du, "Unsupervised Learning of Multi-modal Affine Registration for PET/CT", 2024 IEEE Nuclear Science Symposium (NSS), Medical Imaging Conference (MIC) and Room Temperature Semiconductor Detector Conference (RTSD), Tampa, FL, 26 October – 2 November, 2024. DOI: "Unsupervised Learning of Multi-modal Affine Registration for PET/CT" arXiv: "Unsupervised Learning of Multi-modal Affine Registration for PET/CT"
  • Y. Li, Z. Zhuo, C. Liu, Y. Duan, Y. Shi, T. Wang, R. Li, Y. Wang, J. Jiang, J. Xu, D. Tian, X. Zhang, F.-D. Shi, X. Zhang, A. Carass, F. Barkhof, J. L. Prince, C. Ye, and Y. Liu, "Deep learning enables accurate brain tissue microstructure analysis based on clinically feasible diffusion magnetic resonance imaging", NeuroImage, 300:120858, 2024. DOI: "Deep learning enables accurate brain tissue microstructure analysis based on clinically feasible diffusion magnetic resonance imaging"
  • B.L. Elkhatib, A. Carass, J.L. Prince, and A.A. Alshareef, "Simulating the deformation response of the aging brain using subject-specific finite element models", Biomedical Engineering Society (BMES) Annual Meeting, Baltimore, MD, October 23-26, 2024.
  • S.P. Hays, S.W. Remedios, L. Zuo, E.M. Mowry, S.D. Newsome, P.A. Calabresi, A. Carass, B.E. Dewey, and J.L. Prince, "Beyond MR Image Harmonization: Resolution Matters Too", Simulation and Synthesis in Medical Imaging (SASHIMI 2024) in conjunction with the 27th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2024), Marrakesh, Morocco, October 6–10, 2024. DOI: "Beyond MR Image Harmonization: Resolution Matters Too" arXiv: "Beyond MR Image Harmonization: Resolution Matters Too"
  • Z. Wu, S.W. Remedios, B.E. Dewey, A. Carass, and J.L. Prince, "TS-SR3: Time-strided denoising diffusion probabilistic model for MR super-resolution", 15th International Workshop on Machine Learning in Medical Imaging (MLMI 2024), Marrakesh, Morocco, October 6, 2024. DOI: "TS-SR3: Time-strided denoising diffusion probabilistic model for MR super-resolution"
  • A. Feng, Z. Bian, B.E. Dewey, A.G. Colinco, J. Zhuo and J.L. Prince, "RATNUS: Rapid, Automatic Thalamic Nuclei Segmentation using Multimodal MRI inputs", 5th International Workshop on Multiscale Multimodal Medical Imaging (MMMI 2024) in conjunction with the 27th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2024), Marrakesh, Morocco, October 6–10, 2024. DOI: "RATNUS: Rapid, Automatic Thalamic Nuclei Segmentation using Multimodal MRI inputs" arXiv: "RATNUS: Rapid, Automatic Thalamic Nuclei Segmentation using Multimodal MRI inputs"
  • K. Upadhyay, R. Jagani, D. G. Giovanis, A. Alshareef, A. K. Knutsen, C. L. Johnson, A. Carass, P. V. Bayly, M. D. Shields, and K. T. Ramesh, "Effect of Human Head Shape on the Risk of Traumatic Brain Injury: A Gaussian Process Regression-Based Machine Learning Approach", Military Medicine, 189(S3):608–617, 2024. DOI: "Effect of Human Head Shape on the Risk of Traumatic Brain Injury: A Gaussian Process Regression-Based Machine Learning Approach"
  • J. Zhang, L. Zuo, B.E. Dewey, S.W. Remedios, D.L. Pham, A. Carass, and J.L. Prince, "Towards an accurate and generalizable multiple sclerosis lesion segmentation model using self-ensembled lesion fusion", 21st IEEE International Symposium on Biomedical Imaging (ISBI 2024), Athens, Greece, May 27–30, 2024. DOI: "Towards an accurate and generalizable multiple sclerosis lesion segmentation model using self-ensembled lesion fusion" arXiv: "Towards an accurate and generalizable multiple sclerosis lesion segmentation model using self-ensembled lesion fusion"
  • J. Chen, Y. Liu, S. Wei, Z. Bian, A. Carass, and Y. Du, "From registration uncertainty to segmentation uncertainty", 21st IEEE International Symposium on Biomedical Imaging (ISBI 2024), Athens, Greece, May 27–30, 2024. DOI: "From registration uncertainty to segmentation uncertainty" arXiv: "From registration uncertainty to segmentation uncertainty"
  • S.P .Hays, L. Zuo, B.E. Dewey, S.W. Remedios, S.D. Cassard, A. Fishman, J. Zhuo, A. Carass, E.M. Mowry, S.D. Newsome, and J.L. Prince, "Parameter Maps Synthesis from MR Images Used in a Clinical Study for People with MS", 2024 Consortium of Multiple Sclerosis Centers (CMSC) Annual Meeting, Nashville, TN, May 29 - June 1, 2024.
  • S.W. Remedios, B.E. Dewey, A. Carass, S.D. Cassard, C. Koch, A. Fishman, J.L. Prince, E.M. Mowry, S.D. Newsome, and P.A. Calabresi, "Assessing Central Vein Sign Visibility across Various Anisotropic MRI Resolutions for Multiple Sclerosis Diagnosis", 2024 Consortium of Multiple Sclerosis Centers (CMSC) Annual Meeting, Nashville, TN, May 29 - June 1, 2024.
  • Y. Liu, J. Chen, S. Wei, A. Carass, and J.L. Prince, "On Finite Difference Jacobian Computation in Deformable Image Registration", International Journal of Computer Vision, 132:3678–3688, April 2024. DOI: "On Finite Difference Jacobian Computation in Deformable Image Registration" arXiv: "On Finite Difference Jacobian Computation in Deformable Image Registration"
  • Z. Wu, S.W. Remedios, B.E. Dewey, A. Carass, and J.L. Prince, "AniRes2D: Anisotropic residual-enhanced diffusion for 2D MR super-resolution", Proceedings of SPIE Medical Imaging (SPIE-MI 2024), San Diego, CA, February 18–22, 2024. DOI: "AniRes2D: Anisotropic residual-enhanced diffusion for 2D MR super-resolution" arXiv: "AniRes2D: Anisotropic residual-enhanced diffusion for 2D MR super-resolution"
  • J. Zhang, L. Zuo, B.E. Dewey, S.W. Remedios, S.P. Hays, D. L. Pham, J.L. Prince, and A. Carass, "Harmonization-enriched domain adaptation with light fine-tuning for multiple sclerosis lesion segmentation", Proceedings of SPIE Medical Imaging (SPIE-MI 2024), San Diego, CA, February 18–22, 2024. DOI: "Harmonization-enriched domain adaptation with light fine-tuning for multiple sclerosis lesion segmentation" arXiv: "Harmonization-enriched domain adaptation with light fine-tuning for multiple sclerosis lesion segmentation"
  • J. Liu, R. Zhang, C.L. Johnson, A. Carass, J.L. Prince, and A. Alshareef, "Exploratory magnetic resonance elastography synthesis from magnetic resonance and diffusion tensor imaging", Proceedings of SPIE Medical Imaging (SPIE-MI 2024), San Diego, CA, February 18–22, 2024. DOI: "Exploratory magnetic resonance elastography synthesis from magnetic resonance and diffusion tensor imaging"
  • Y. Wang, Y. Liu, S. Wei, Y. Xue, L. Zuo, S. W. Remedios, Z. Bian, M. Meggyesye, J. Ahn, R. Lee, M.G. Luciano, J.L. Prince, and A. Carass, "Deep learning-based segmentation of hydrocephalus brain ventricle from ultrasound", Proceedings of SPIE Medical Imaging (SPIE-MI 2024), San Diego, CA, February 18–22, 2024. DOI: "Deep learning-based segmentation of hydrocephalus brain ventricle from ultrasound"
  • S.W. Remedios, S. Wei, B.E. Dewey, A. Carass, D.L. Pham, and J.L. Prince, "Pushing the limits of zero-shot self-supervised super-resolution of anisotropic MR Images", Proceedings of SPIE Medical Imaging (SPIE-MI 2024), San Diego, CA, February 18–22, 2024. DOI: "Pushing the limits of zero-shot self-supervised super-resolution of anisotropic MR Images"
  • S.P. Hays, L. Zuo, Y. Liu, J. Zhuo, J.L. Prince, and A. Carass, "Revisiting registration-based synthesis: A focus on unsupervised MR image synthesis", Proceedings of SPIE Medical Imaging (SPIE-MI 2024), San Diego, CA, February 18–22, 2024. DOI: "Revisiting registration-based synthesis: A focus on unsupervised MR image synthesis" arXiv: "Revisiting registration-based synthesis: A focus on unsupervised MR image synthesis"
  • Z. Bian, A. Alshareef, S. Wei, J. Chen, Y. Liu, Y. Wang, J. Woo, D.L. Pham, J. Zhuo, A. Carass, and J.L. Prince, "Is Registering Raw Tagged-MR Enough for Strain Estimation in the Era of Deep Learning?", Proceedings of SPIE Medical Imaging (SPIE-MI 2024), San Diego, CA, February 18–22, 2024. DOI: "Is Registering Raw Tagged-MR Enough for Strain Estimation in the Era of Deep Learning?" arXiv: "Is Registering Raw Tagged-MR Enough for Strain Estimation in the Era of Deep Learning?"
  • A. Carass, D. Greenman, B.E. Dewey, P.A. Calabresi, J.L. Prince, and D.L. Pham, "Image harmonization improves consistency of intra-rater delineations of MS lesions in heterogeneous MRI", NeuroImage: Reports, 4(1):100195, 2024. DOI: "Image harmonization improves consistency of intra-rater delineations of MS lesions in heterogeneous MRI"
  • C. Liu, Z. Zhuo, L. Qu, Y. Jin, T. Hua, J. Xu, G. Tan, Y. Li, Y. Duan, T. Wang, Z. Zhang, Y. Zhang, R. Chen, P. Yu, P. Zhang, Y. Shi, J. Zhang, D. Tian, R. Li, X. Zhang, F.-D. Shi, Y. Wang, J. Jiang, A. Carass, Y. Liu, and C. Ye, "DeepWMH: A deep learning tool for accurate white matter hyperintensity segmentation without requiring manual annotations for training", Science Bulletin, 69(7):872-875, 2024. DOI: "DeepWMH: A deep learning tool for accurate white matter hyperintensity segmentation without requiring manual annotations for training"
  • Y. Liu, L. Zuo, Y. He, S. Han, J. Lei, J.L. Prince, and A. Carass, "OCTA Segmentation with Limited Training Data Using Disentangled Representation Learning", Deep Learning for Medical Image Analysis (Second Edition), edited by S.K. Zhou, H. Greenspan, and D. Shen, Chapter 16, pp. 451–469, 2024. DOI: "OCTA Segmentation with Limited Training Data Using Disentangled Representation Learning"
  • L. Zuo, Y. Liu, J. L. Prince, and A. Carass, "An overview of disentangled representation learning for MR image harmonization", Deep Learning for Medical Image Analysis (Second Edition), edited by S.K. Zhou, H. Greenspan, and D. Shen, Chapter 5, pp. 135–152, 2024. DOI: "An overview of disentangled representation learning for MR image harmonization"
Retrieved from "https://iacl.ece.jhu.edu/index.php?title=Publications/2024&oldid=19078"