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TETRIS: Template Transformer Networks for Image Segmentation with Shape Priors

Matthew Chung Hai Lee, Kersten Petersen, Nick Pawlowski, Ben Glocker, Michiel Schaap
2019 IEEE Transactions on Medical Imaging  
In this paper, we introduce and compare different approaches for incorporating shape prior information into neural network-based image segmentation.  ...  Specifically, we introduce the concept of template transformer networks, where a shape template is deformed to match the underlying structure of interest through an end-to-end trained spatial transformer  ...  Batten and Karl Hahn for fruitful discussions.  ... 
doi:10.1109/tmi.2019.2905990 pmid:30908196 fatcat:4ktdqssshvcypdklg4umejhwrq

Hippocampal gray matter increases following multimodal psychological treatment for combat-related post-traumatic stress disorder

Oisin Butler, Gerd Willmund, Tobias Gleich, Jürgen Gallinat, Simone Kühn, Peter Zimmermann
2018 Brain and Behavior  
ACKNOWLEDGMENTS We thank Sarah CONFLICT OF INTEREST All authors declare that they have no conflicts of interest with respect to their authorship or the publication of this article.  ...  OPEN SCIENCE Key data and Materials have been made publicly available via the Open Science Framework and can be accessed at osf.io/xz32u, or are otherwise available from the authors on request (with  ...  A mean image for all EPI volumes was created, to which individual volumes were spatially realigned by means of rigid body transformations.  ... 
doi:10.1002/brb3.956 pmid:29761009 pmcid:PMC5943737 fatcat:zpi3wgibqvd7fmf2t4jcatykti

Theta phase coding in a network model of the entorhinal cortex layer II with entorhinal-hippocampal loop connections

Jun Igarashi, Hatsuo Hayashi, Katsumi Tateno
2006 Cognitive Neurodynamics  
One approach for reducing number of support vectors is to formulate SVM with a non-convex loss function.  ...  The binary classifier, a key component of our system, is a neural network that can be retrained, the motivation of which is to adapt to varying environments, especially with illuminations.  ...  CONCLUSION We designed an element circuit for implementing PLL neural networks using the pulse-modulation approach. We verified the fundamental operation of two coupled element circuits with HSPICE.  ... 
doi:10.1007/s11571-006-9003-8 pmid:19003510 pmcid:PMC2267667 fatcat:avihqfr6a5e7tm43lythi27n3a

A structure-function substrate of memory for spatial configurations in medial and lateral temporal cortices [article]

Shahin Tavakol, Qiongling Li, Jessica Royer, Reinder Vos de Wael, Sara Lariviere, Alexander Lowe, Casey Paquola, Elizabeth Jefferies, Tom Hartley, Andrea Bernasconi, Neda Bernasconi, Jonathan Smallwood (+3 others)
2020 bioRxiv   pre-print
A cohort of 48 healthy young adults underwent the CSST, together with a set of validated behavioral measures and multimodal magnetic resonance imaging (MRI).  ...  Prior research has shown that structures of the mesiotemporal lobe, particularly the hippocampal-parahippocampal complex, are engaged in different forms of spatial cognition.  ...  As in prior work (Valk, et al., 2016) , data underwent manual quality control and potential correction for segmentation inaccuracies. .  ... 
doi:10.1101/2020.10.14.338947 fatcat:xv53vmuklndotfqqeq5go63d7i

Eye-movement intervention enhances extinction via amygdala deactivation [article]

Lycia D. de Voogd, Jonathan W. Kanen, David A. Neville, Karin Roelofs, Guillen Fernandez, Erno J. Hermans
2018 bioRxiv   pre-print
In two independent studies (both n=24), we found that goal-directed eye movements activate a dorsal fronto-parietal network and transiently deactivate the amygdala.  ...  This study contributes to the understanding of a widely used treatment for traumatic symptoms by providing a parsimonious account for how working memory tasks and goal-directed eye movements can enhance  ...  Tissue images were then registered with site-specific tissue templates using DARTEL 276 (Ashburner, 2007) , and registered (using an affine transformation) with the MNI152 template 277 included in SPM8  ... 
doi:10.1101/282467 fatcat:vdtqwvvldrctniy4psufj2kfey

Structure-guided registration in learning based image analysis

Matthew Chung Hai Lee, Ben Glocker
2020
Firstly, we utilise image registration to perform image segmentation via template deformation, the registration of some prior shape model with an image.  ...  Secondly, we develop a framework for combining iterative image registration with neural network based representation learning.  ...  Tetris: Template transformer networks for image segmentation with shape priors. IEEE Transactions on Medical Imaging 38 (2019), 2596-Lee, M. C. H., Oktay, O., Schuh, A., Schaap, M., and Glocker, B.  ... 
doi:10.25560/79296 fatcat:rldmsq3fefabpkurupwmi3yu3u

Mesh Parameterization Methods and Their Applications

Alla Sheffer, Emil Praun, Kenneth Rose
2006 Foundations and Trends in Computer Graphics and Vision  
All of these applications require the computation of planar patterns to form the desired 3D shapes.  ...  Typically, models are first segmented into nearly developable charts (Section 4), and these charts are then parameterized in the plane (Section 3).  ...  Acknowledgments The authors would like to thank the reviewers for their comments and Ciarán Llachlan Leavitt for her help in editing the paper.  ... 
doi:10.1561/0600000011 fatcat:k3vrqx4s2bgmrmivetwsc5nhqm

Deep Learning Predicts Cardiovascular Disease Risks from Lung Cancer Screening Low Dose Computed Tomography [article]

Hanqing Chao, Hongming Shan, Fatemeh Homayounieh, Ramandeep Singh, Ruhani Doda Khera, Hengtao Guo, Timothy Su, Ge Wang, Mannudeep K. Kalra, Pingkun Yan
2020 arXiv   pre-print
However, with strong noise in LDCT images and without electrocardiogram (ECG) gating, CVD risk analysis from LDCT is highly challenging.  ...  effectively identified patients with high CVD mortality risks (AUC of 0.768).  ...  The authors thank the National Cancer Institute (NCI) for access to NCIs data collected by the National Lung Screening Trial.  ... 
arXiv:2008.06997v1 fatcat:ojelmuunbrfsjpdxuhfh2y4hq4

In polite company

Elizabeth Losh
2008 Proceedings of the 2008 International Conference in Advances on Computer Entertainment Technology - ACE '08  
ACKNOWLEDGMENT We would like to sincerely thank Thomas Andersson and Sebastian Armonioso at DICE for making time in their busy schedule to meet with us.  ...  A special thanks to the research assistants for handling the data 40 and the pictures as well as Alex Thayer for commenting the language of this paper.  ...  The working papers were distributed to both the official commentators and the participants prior to the seminar for peer-review and as a basis for the discussion at the seminar.  ... 
doi:10.1145/1501750.1501832 dblp:conf/ACMace/Losh08 fatcat:cstvopas5jad7os5idmdt642ie

EEG-Based Brain-Computer Interfaces Using Motor-Imagery: Techniques and Challenges

Natasha Padfield, Jaime Zabalza, Huimin Zhao, Valentin Masero, Jinchang Ren
2019 Sensors  
This paper reviews state-of-the-art signal processing techniques for MI EEG-based BCIs, with a particular focus on the feature extraction, feature selection and classification techniques used.  ...  The resulting 2D images obtained for each frequency band are then grouped to form an image with three color channels.  ...  The STFT is used to produce a time-frequency image of the task, from which the frequency bands most associated with MI EEG are extracted. The extracted image is then fed into the deep network.  ... 
doi:10.3390/s19061423 fatcat:msk42smb7bd6ljqk4pxv6jy3ce

Are All Spatial Reference Frames Egocentric? Reinterpreting Evidence for Allocentric, Object-Centered, or World-Centered Reference Frames

Flavia Filimon
2015 Frontiers in Human Neuroscience  
Here, I review behavioral, neuropsychological, neurophysiological (neuronal recording), and neuroimaging evidence for and against allocentric, object-centered, or world-centered spatial reference frames  ...  Nelson for critical feedback and support.  ...  However, Howe and Purves (2005) have shown that this illusion can be explained by natural image statistics where the physical sources giving rise to a 2D retinal image of a line segment with arrow heads  ... 
doi:10.3389/fnhum.2015.00648 pmid:26696861 pmcid:PMC4673307 fatcat:rexcrhllljflzfjon6oca254yq

Deictic codes for the embodiment of cognition

Dana H. Ballard, Mary M. Hayhoe, Polly K. Pook, Rajesh P. N. Rao
1997 Behavioral and Brain Sciences  
Deictic computation provides a mechanism for representing the essential features that link external sensory data with internal cognitive programs and motor actions.  ...  Why insist on deictic codes for cognition rather than deixis simpliciter? And in what sense is cognition embodied, on this view?  ...  In this task one can assume Trying to match many image segments to many models simultaneously may be too difficult.  ... 
doi:10.1017/s0140525x97001611 fatcat:45j2crpyxjdzznuhtznnnwpdjy

Are multiple fixations necessarily deictic?

Sally Bogacz
1997 Behavioral and Brain Sciences  
Deictic computation provides a mechanism for representing the essential features that link external sensory data with internal cognitive programs and motor actions.  ...  Why insist on deictic codes for cognition rather than deixis simpliciter? And in what sense is cognition embodied, on this view?  ...  In this task one can assume Trying to match many image segments to many models simultaneously may be too difficult.  ... 
doi:10.1017/s0140525x97221618 fatcat:7zoh5xcc5bbvvbuvjwls74l6ay

Relationship between strategic human resource management and firm performance

Wan‐Jing April Chang, Tung Chun Huang
2005 International journal of manpower  
Acknowledgements This study was supported by the Spanish Ministry of Science and Innovation (MINECO/FEDER/UE; project PSI2011-28801, "Virtual Reality Cue-Exposure Treatment for Bulimia Nervosa").  ...  This software allows one to compile different templates of the application for a prototype as they were readily available.  ...  Participants reported being more engaged with the Tetris® VR condition then the Tetris® desktop condition.  ... 
doi:10.1108/01437720510615125 fatcat:lnson2dlrndgxg7cgjnavyog4a

Deep Learning Techniques for Music Generation – A Survey [article]

Jean-Pierre Briot, Gaëtan Hadjeres, François-David Pachet
2019 arXiv   pre-print
Architecture - What type(s) of deep neural network is (are) to be used? Examples are: feedforward network, recurrent network, autoencoder or generative adversarial networks.  ...  . - For what destination and for what use? To be performed by a human(s) (in the case of a musical score), or by a machine (in the case of an audio file).  ...  This network was trained mostly on images of animals, so naturally it tends to interpret shapes as animals."  ... 
arXiv:1709.01620v4 fatcat:hma4znleorfpvh62cpupxu4fq4
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