Computer-aided detection of pulmonary nodules in low-dose CT
P. Delogu, M. E. Fantacci, I. Gori, A. Preite Martinez, A. Retico
专题命中
医学影像
:CT(title,abstract)
Comments3 pages, 4 figures; Proceedings of the CompIMAGE - International Symposium on Computational Modelling of Objects Represented in Images: Fundamentals, Methods and Applications, 20-21 Oct. 2006, Coimbra, Portugal
3He Lung Imaging in an Open Access, Very-Low-Field Human MRI System
R. W. Mair, M. I. Hrovat, S. Patz, M. S. Rosen, I. C. Ruset, G. P. Topulos, L. L. Tsai, J. P. Butler, F. W. Hersman, R. L. Walsworth
专题命中
医学影像
:MRI(title,abstract)
Commentssingle pdf file, approx 19 pages double spaced, including 3 figures. accepted for publication in Magnetic Resonance in Medicine. Magnetic Resonance in Medicine, accepted for publication 2004
MRI of the lung using hyperpolarized He-3 at very low magnetic field (3 mT)
C. P. Bidinosti, J. Choukeife, G. Tastevin, A. Vignaud, P. -J. Nacher
专题命中
医学影像
:MRI(title,abstract)
Comments10 pages, 3 figures. Presented at 11th ISMRM meeting, Toronto 2003; to be published in Magnetic Resonance Materials in Physics, Biology, and Medicine (MAGMA)
机构
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School of Computer Science, University of Birmingham(英国伯明翰大学计算机科学学院)
;
Division of Informatics, Imaging and Data Sciences, University of Manchester(曼彻斯特大学信息学与数据科学系)
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Centre for Computational Imaging and Modelling in Medicine, University of Manchester(曼彻斯特大学医学计算成像与建模中心)
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Guangdong Provincial Key Laboratory of Computer Vision and Virtual Reality Technology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences(广东省计算机视觉与虚拟现实技术重点实验室,深圳先进技术研究院,中国科学院)
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MRC Laboratory of Medical Sciences, Imperial College London(伦敦帝国理工学院医学科学实验室)
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UKRI CDT in AI for Healthcare, Imperial College London(伦敦帝国理工学院人工智能与医疗健康CDT)
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Department of Computing, Imperial College London(伦敦帝国理工学院计算机科学系)
CommentsThis work has been submitted for consideration at European Radiology (Springer). Upon acceptance, this preprint will be updated with the journal reference
From Model Based to Learned Regularization in Medical Image Registration: A Comprehensive Review
Anna Reithmeir, Veronika Spieker, Vasiliki Sideri-Lampretsa, Daniel Rueckert, Julia A. Schnabel, Veronika A. Zimmer
机构
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School of Computation, Information and Technology, Technical University of Munich (TUM)(慕尼黑工业大学计算、信息与技术学院)
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Munich Center for Machine Learning (MCML)(慕尼黑机器学习中心)
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Institute of Machine Learning in Biomedical Imaging, Helmholtz Munich(亥姆霍兹慕尼黑生物医学成像机器学习研究所)
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Department of Computing, Imperial College London(伦敦帝国理工学院计算机系)
;
School of Biomedical Engineering and Imaging Sciences, King’s College London(伦敦国王学院生物医学工程与影像科学学院)
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School of Medicine, Klinikum rechts der Isar, Technical University of Munich(慕尼黑工业大学右岸医院医学院)
Curriculum Based Multi-Task Learning for Parkinson's Disease Detection
Nikhil J. Dhinagar, Conor Owens-Walton, Emily Laltoo, Christina P. Boyle, Yao-Liang Chen, Philip Cook, Corey McMillan, Chih-Chien Tsai, J-J Wang, Yih-Ru Wu, Ysbrand van der Werf, Paul M. Thompson
Fully Automated Left Atrium Segmentation from Anatomical Cine Long-axis MRI Sequences using Deep Convolutional Neural Network with Unscented Kalman Filter
Xiaoran Zhang, Michelle Noga, David Glynn Martin, Kumaradevan Punithakumar
CommentsAccepted for publication at International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) 2020.This version differs from the published conference version only in a funding agencies name, and additional clarifying changes and references in figure 3
4DLoG: Generative Modeling of Neurodegenerative Brain Anatomy with 4D Longitudinal Diffusion Model
利用4D纵向扩散模型生成神经退行性脑解剖结构
Nivetha Jayakumar, Swakshar Deb, Bahram Jafrasteh, Qingyu Zhao, Miaomiao Zhang
机构
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Department of Electrical and Computer Engineering(电气与计算机工程系)
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Department of Radiology(放射学系)
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Department of Electrical and Computer Engineering, Department of Computer Science(电气与计算机工程系、计算机科学系)