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Using Neural Networks to Extend Cropped Medical Images for Deformable Registration Among Images with Differing Scan Extents

Elizabeth M McKenzie, Nuo Tong, Dan Ruan, Minsong Cao, Robert K Chin, Ke Sheng
2021 Medical Physics (Lancaster)  
The network can estimate large regions in an incomplete image, far from the cropping boundary.  ...  The network used a 3D U-Net generator along with VGG deep feature losses.  ...  Imaging volume mismatch is also common in MR to CT registration.  ... 
doi:10.1002/mp.15039 pmid:34101198 pmcid:PMC8683602 fatcat:k3hcn7flkzd6jidpkqapeo7kwq

A Learning-based Method for Online Adjustment of C-arm Cone-Beam CT Source Trajectories for Artifact Avoidance [article]

Mareike Thies, Jan-Nico Zäch, Cong Gao, Russell Taylor, Nassir Navab, Andreas Maier, Mathias Unberath
2020 arXiv   pre-print
Adjustments are performed on-the-fly using a convolutional neural network that regresses a quality index for possible next views given the current x-ray image.  ...  Since the optimization objective is implicitly encoded in a neural network, the proposed approach overcomes the need for 3D information at run-time.  ...  We would like to thank Gerhard Kleinszig and Sebastian Vogt, both with Siemens Healthineers, for making the C-arm used in this research available.  ... 
arXiv:2008.06262v1 fatcat:iarhuu2edzfqjgfgwvpjhsrncq

A learning-based method for online adjustment of C-arm Cone-beam CT source trajectories for artifact avoidance

Mareike Thies, Jan-Nico Zäch, Cong Gao, Russell Taylor, Nassir Navab, Andreas Maier, Mathias Unberath
2020 International Journal of Computer Assisted Radiology and Surgery  
C-arm cone-beam CT (CBCT) provides intraoperative 3D tomographic imaging which would allow for immediate verification and, if needed, revision.  ...  Since the optimization objective is implicitly encoded in a neural network trained on large amounts of well-annotated projection images, the proposed approach overcomes the need for 3D information at run-time  ...  We would like to thank Gerhard Kleinszig and Sebastian Vogt, both with Siemens Healthineers, for making the C-arm used in this research available.  ... 
doi:10.1007/s11548-020-02249-1 pmid:32840721 fatcat:solxvtuwyzdypkcnhpyo72rgnm

Front Matter: Volume 10806

Xudong Jiang, Jenq-Neng Hwang
2018 Tenth International Conference on Digital Image Processing (ICDIP 2018)  
Publication of record for individual papers is online in the SPIE Digital Library. SPIEDigitalLibrary.org Paper Numbering: Proceedings of SPIE follow an e-First publication model.  ...  SPIE uses a seven-digit CID article numbering system structured as follows: ▪ The first five digits correspond to the SPIE volume number. ▪ The last two digits indicate publication order within the volume  ...  Introduction FEATURE ANALYSIS AND EXTRACTION A contextual deep neural network with dilated convolutions for object detection in remote sensing images 0X Lane detection using spline model for freeway  ... 
doi:10.1117/12.2510343 fatcat:maohjht2t5apneao4iivotwxey

Baseline Power of Theta Oscillations Predicts Mystical-Type Experiences Induced by DMT in a Natural Setting

Enzo Tagliazucchi, Federico Zamberlan, Federico Cavanna, Laura de la Fuente, Celeste Romero, Yonatan Sanz Perl, Carla Pallavicini
2021 Frontiers in Psychiatry  
The robustness of these results was supported using a machine learning model for regression trained and tested following a cross-validation procedure.  ...  As with other psychedelics, the experience induced by DMT strongly depends upon contextual factors, yet the neurobiological determinants of this variability remain unknown.  ...  Machine Learning Regression Model A random forest regressor (45) with 1,000 estimators (implemented in scikit-learn, https://scikit-learn.org/) (46) was trained using 50% of the samples to estimate  ... 
doi:10.3389/fpsyt.2021.720066 pmid:34803754 pmcid:PMC8602571 fatcat:tabwyqqyi5fi5osbz3xxgfqnvq

Explainable Machine Learning for Scientific Insights and Discoveries

Ribana Roscher, Bastian Bohn, Marco F. Duarte, Jochen Garcke
2020 IEEE Access  
For more information, see http://creativecommons.org/licenses/by/4.0/ VOLUME 8, 2020  ...  Machine learning methods have been remarkably successful for a wide range of application areas in the extraction of essential information from data.  ...  They would also like to thank the participants of the long term program for fruitful discussions, in particular K. Dow, L. Gao, P. Grandinetti, P. Hähnel, M. Haghighatlari, and R. Jäkel.  ... 
doi:10.1109/access.2020.2976199 fatcat:7wk6ljxlqrdwhpbv7xjk75buk4

Baseline power of theta oscillations predicts mystical-type experiences induced by DMT [article]

Enzo Tagliazucchi, Federico Zamberlan, Federico Cavanna, Laura Alethia de la Fuente, Celeste Romero, Yontatan Sanz Perl, Carla Pallavicini
2021 bioRxiv   pre-print
Finally, we established the robustness of these results using a machine learning model for regression trained and tested following a cross-validation procedure.  ...  As with other psychedelics, the experience induced by DMT strongly depends upon contextual factors, yet the neurobiological determinants of this variability remain unknown.  ...  Acknowledgments We thank Gonzalo Sierra for his continuous support of this study. The authors also acknowledge Toyoko LLC for granting cloud computing services.  ... 
doi:10.1101/2021.03.11.434994 fatcat:lxfeqhdyf5fo7f6g2x34ighzsm

AAPM Spring Clinical Meeting - Abstract

2021 Journal of Applied Clinical Medical Physics  
Results: Deep learning neural networks, DNN, ranged in depth from 11 layers to 101 layers.  ...  for orbital metal screening prior to MRI.  ...  In the Encoder module, the latent representation would be extracted from the input images and reserve the contextual information in the feature map.  ... 
doi:10.1002/acm2.13289 pmid:34002941 fatcat:6oivewssf5gwnnztmhff4nldle

Functional neural networks underlying semantic encoding of associative memories

M. Crespo-Garcia, J.L. Cantero, A. Pomyalov, S. Boccaletti, M. Atienza
2010 NeuroImage  
Although retrieval processes operated on a similar neural network, the main difference with the study phase was the larger amount of functional links shown by the lateral prefrontal cortex with regions  ...  However, functional coordination involving the inferior parietal lobe was higher in the incongruent condition.  ...  Acknowledgments We thank Karsten Hoechstetter (Megis Software, Inc.) for assistance and advise with the implementation of the beamforming procedure, and the three reviewers of this paper for helpful comments  ... 
doi:10.1016/j.neuroimage.2010.01.018 pmid:20079444 fatcat:7vqsrxu6q5ayhaoblegpzjbewm

Brain-based sex differences in autism spectrum disorder across the lifespan: A systematic review of structural MRI, fMRI, and DTI findings

Melissa J.M. Walsh, Gregory L. Wallace, Stephen M. Gallegos, B. Blair Braden
2021 NeuroImage: Clinical  
Future research on neuroimaging-based sex differences in ASD would benefit from a lifespan approach in well-controlled and multivariate studies.  ...  Furthermore, accumulating evidence supports the female protective effect in ASD, although only one study examined brain circuits implicated in "protection."  ...  in adolescents/adults possible.  ... 
doi:10.1016/j.nicl.2021.102719 pmid:34153690 fatcat:4qs5mz6wtbdaxah2dvfx32fcqy

Explainable Machine Learning for Scientific Insights and Discoveries [article]

Ribana Roscher, Bastian Bohn, Marco F. Duarte, Jochen Garcke
2019 arXiv   pre-print
Machine learning methods have been remarkably successful for a wide range of application areas in the extraction of essential information from data.  ...  A prerequisite for obtaining a scientific outcome is domain knowledge, which is needed to gain explainability, but also to enhance scientific consistency.  ...  We cordially thank the participants of the long term program for fruitful discussions, in particular Keiko Dow, Longfei Gao, Pietro Grandinetti, Philipp Haehnel, Mojtaba Haghighatlari, and René Jäkel.  ... 
arXiv:1905.08883v2 fatcat:bwbkmljfljcpboqmppoemari64

Learning and the Development of Contexts for Action

Phan Luu, Zhongqing Jiang, Catherine Poulsen, Chelsea Mattson, Anne Smith, Don M. Tucker
2011 Frontiers in Human Neuroscience  
In dense-array EEG studies of human learning, we observed brain activity in medial prefrontal cortex (the medial frontal negativity or MFN) was not only observed in early stages, but, surprisingly, continued  ...  Furthermore, MFN activity from the third session predicted learning rate in the fourth session.The results point to an interaction between early and late stages in which learning results in corticolimbic  ...  This individual's MRI and CT images were aligned with the cortex volume from the MNI atlas with Talairach registration.  ... 
doi:10.3389/fnhum.2011.00159 pmid:22163216 pmcid:PMC3234498 fatcat:ocvnplz4ivgmlgufjdecc6qmne

2021 Index IEEE Transactions on Instrumentation and Measurement Vol. 70

2021 IEEE Transactions on Instrumentation and Measurement  
The Author Index contains the primary entry for each item, listed under the first author's name.  ...  -that appeared in this periodical during 2021, and items from previous years that were commented upon or corrected in 2021.  ...  ., +, TIM 2021 5011913 Gas Volume Fraction Measurement of Oil-Gas-Water Three-Phase Flows in Vertical Pipe by Combining Ultrasonic Sensor and Deep Attention Network.  ... 
doi:10.1109/tim.2022.3156705 fatcat:dmqderzenrcopoyipv3v4vh4ry

2020 Index IEEE Robotics and Automation Letters Vol. 5

2020 IEEE Robotics and Automation Letters  
Zhang, J., LRA July 2020 3822-3829 Belief networks A General Framework for Uncertainty Estimation in Deep Learning.  ...  ., +, LRA April 2020 1835-1842 Deep Neural Network Approach in Robot Tool Dynamics Identification for Bilateral Teleoperation.  ... 
doi:10.1109/lra.2020.3032821 fatcat:qrnouccm7jb47ipq6w3erf3cja

Biomechanical Implications of Intraspecific Shape Variation in Chimpanzee Crania: Moving Toward an Integration of Geometric Morphometrics and Finite Element Analysis

Amanda L. Smith, Stefano Benazzi, Justin A. Ledogar, Kelli Tamvada, Leslie C. Pryor Smith, Gerhard W. Weber, Mark A. Spencer, Paul C. Dechow, Ian R. Grosse, Callum F. Ross, Brian G. Richmond, Barth W. Wright (+4 others)
2014 The Anatomical Record  
In a broad range of evolutionary studies, an understanding of intraspecific variation is needed in order to contextualize and interpret the meaning of variation between species.  ...  Six finite element models (FEMs) of chimpanzee crania were constructed from CT scans following shape-space Principal Component Analysis (PCA) of a matrix of 709 Procrustes coordinates (digitized onto 21  ...  ACKNOWLEDGMENTS We thank Siobhan Cooke and Claire Terhune for the opportunity to participate in this special issue and the symposium on which it was based.  ... 
doi:10.1002/ar.23074 pmid:25529239 pmcid:PMC4274755 fatcat:s3vnwpx4mzaldnxw6apedzhhpy
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