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Flexible Conditional Image Generation of Missing Data with Learned Mental Maps [article]

Benjamin Hou, Athanasios Vlontzos, Amir Alansary, Daniel Rueckert and Bernhard Kainz
2019 arXiv   pre-print
Accurate mental maps require years of anatomy training, which in the first instance relies on normative learning, i.e. excluding pathology.  ...  In this paper, we leverage Bayesian Deep Learning and environment mapping to generate full volumetric anatomy representations from none to a small, sparse set of slices.  ...  We also like to thank Ira, author of BRUNO and Conditional BRUNO, for the valuable discussions.  ... 
arXiv:1908.11312v1 fatcat:qzjxi37g7zfk5a36qg7sv6qc5m

Healthcare information technology's relativity problems: a typology of how patients' physical reality, clinicians' mental models, and healthcare information technology differ

Sean W Smith, Ross Koppel
2014 JAMIA Journal of the American Medical Informatics Association  
We then identified five general types of misrepresentation in these cases: IT data too narrowly focused; IT data too broadly focused; EHRs miss critical reality; data multiplicities-perhaps contradictory  ...  Conclusions With humans, there is a physical reality and actors' mental models of that reality.  ...  Acknowledgements The authors are grateful for the use cases provided by the members of the AMIA implementation forum; thousands of clinicians who routinely contribute to vendor forums, the FDA MAUDE database  ... 
doi:10.1136/amiajnl-2012-001419 pmid:23800960 pmcid:PMC3912703 fatcat:q5bbljfqfreixagyjwrz2dvqx4

Toward open sharing of task-based fMRI data: the OpenfMRI project

Russell A. Poldrack, Deanna M. Barch, Jason P. Mitchell, Tor D. Wager, Anthony D. Wagner, Joseph T. Devlin, Chad Cumba, Oluwasanmi Koyejo, Michael P. Milham
2013 Frontiers in Neuroinformatics  
to identify individual subjects from their activation maps with moderately high accuracy.  ...  The large-scale sharing of task-based functional neuroimaging data has the potential to allow novel insights into the organization of mental function in the brain, but the field of neuroimaging has lagged  ...  Thanks to Tom Schonberg, Chris Gorgolewski, and Jean-Baptise Poline, Laurens van der Maaten, and Jack Van Horn for helpful comments and Natalie Picchetti for assistance with data analysis.  ... 
doi:10.3389/fninf.2013.00012 pmid:23847528 pmcid:PMC3703526 fatcat:iydcpisyebdmjkvbd2dyqbefkm

Utilization of Semantic Networks for Education: On the Enhancement of Existing Learning Objects with Topic Maps in ³

Ulrike Lucke, Alke Martens
2010 Jahrestagung der Gesellschaft für Informatik  
A challenge is to combine knowledge networks (for self-directed learning) with traditional, hierarchical courseware.  ...  The paper presents an approach for integration of both, semantic networks and hierarchical structures, within a single learning object based on the eLearning markup language ³.  ...  Finally, the pro's and con's as well as general conditions for the use of semantic networks in eLearning are discussed.  ... 
dblp:conf/gi/LuckeM10 fatcat:r5m5v5eq75bk5lsv63j5vsqxdi

Multi-view to Novel View: Synthesizing Novel Views With Self-learned Confidence [chapter]

Shao-Hua Sun, Minyoung Huh, Yuan-Hong Liao, Ning Zhang, Joseph J. Lim
2018 Lecture Notes in Computer Science  
In this paper, we address the task of multi-view novel view synthesis, where we are interested in synthesizing a target image with an arbitrary camera pose from given source images.  ...  Specifically, our model consists of a flow prediction module and a pixel generation module to directly leverage information presented in source views as well as hallucinate missing pixels from statistical  ...  This research of Shao-Hua Sun and Minyoung Huh were partially supported by Snap Inc. The authors are grateful to Youngwoon Lee and Hyeonwoo Noh for helpful discussions about this work.  ... 
doi:10.1007/978-3-030-01219-9_10 fatcat:x54uve2m4zdnrgcvlnczfjp67i

Flexible foundations of abstract thought: A review and a theory [chapter]

Julio Santiago, Antonio Román, Marc Ouellet, Thomas W. Schubert, Anne Maass
2011 Spatial Dimensions of Social Thought  
The metaphorical expressions present in language motivate the generation of analogies and guide the mapping of structure across concrete and abstract domains.  ...  We show how the theory can integrate prior results, points to several factors that mediate the flexibility in the manifestation of conceptual projections, and generates several new predictions.  ...  Acknowledgments Preparation of this chapter was supported by grant SEJ2006-04732/PSIC, funded by DGI, Ministerio de Educación 39 FLEXIBLE FOUNDATIONS OF ABSTRACT THOUGHT y Ciencia, Plan Nacional de Investigación  ... 
doi:10.1515/9783110254310.39 fatcat:vppsolxzujef5i5mxxvz2o7rdu

Performance Evaluation Of Machine Learning Techniques On Rpas Remote Sensing Images

2019 International Journal of Engineering and Advanced Technology  
Where, Machine learning approaches are very prevailing group of data driven implication tools that provide a broader scope when applied to remote sensed data.  ...  In this paper, applying different machine learning approaches on the remote sensing images with open source packages in R, to find out which algorithm is more efficient for obtaining better accuracy.  ...  Padded Cognitive Map (FCM) is a mix of warm reason and mental guide speculations, and is utilized for appearing and importance experts' learning.  ... 
doi:10.35940/ijeat.f1197.0886s19 fatcat:2x5na347jrfizo6cvhyhof636m

Dynamic switching between semantic and episodic memory systems

Kristiina Kompus, Carl-Johan Olsson, Anne Larsson, Lars Nyberg
2009 Neuropsychologia  
Here we examined the flexibility of memory retrieval in an associative task taxing memories of different strength, assumed to differentially engage episodic and semantic memory.  ...  High-familiar items were associated with stronger activation of posterior cortices and a left frontal region.  ...  The data was analysed in the framework of the general linear model. Both correct and noncorrect as well as missing answers were included in the analysis.  ... 
doi:10.1016/j.neuropsychologia.2008.11.031 pmid:19109984 fatcat:gtaywfskffbazplnsgzcv3neca

White matter integrity between left basal ganglia and left prefrontal cortex is compromised in gambling disorder

Tim van Timmeren, Jochem M. Jansen, Matthan W. A. Caan, Anna E. Goudriaan, Ruth J. van Holst
2016 Addiction Biology  
We also used diffusion tensor imaging on a subset of data (PGs = 21; HCs = 21) in combination with tract-based spatial statistics and probabilistic fiber tracking to assess white matter integrity between  ...  Indeed, impaired cognitive flexibility has previously been linked to PG and also to reduced integrity of white matter connections between the basal ganglia and the prefrontal cortex.  ...  RJvH acquired the data. TvT, JMJ, RJvH and MWAC analyzed the data. TvT wrote the manuscript, which was critically revised by JMJ, RJvH, MWAC and AEG for important intellectual content.  ... 
doi:10.1111/adb.12447 pmid:27612435 fatcat:pxuryoremzer5gwskbyp3c43by

Multiple Routes to Mental Animation

Kenny R. Coventry, Thomas B. Christophel, Thorsten Fehr, Berenice Valdés-Conroy, Manfred Herrmann
2013 Psychological Science  
Mental animation is not a unitary construct; the predictions humans make about the visual world are driven flexibly, with hemispheric asymmetry in the routes to MT+ activation.  ...  When looking at static visual images, people often exhibit mental animation, anticipating visual events that have not yet happened. But what determines when mental animation occurs?  ...  TC ran the experiment, and took primary responsibility for neuroimaging analyses and drafting of neuroimaging results, with assistance from TF/MH/KRC. KRC analyzed the behavioral data.  ... 
doi:10.1177/0956797612469209 pmid:23774464 fatcat:2e2x27h5krgb3i5jtfred3prsa

Predictive Coding-based Deep Dynamic Neural Network for Visuomotor Learning [article]

Jungsik Hwang, Jinhyung Kim, Ahmadreza Ahmadi, Minkyu Choi, Jun Tani
2017 arXiv   pre-print
The experimental results showed that with given intention states, the model was able to mentally simulate the possible incoming dynamic visuo-proprioceptive patterns in a top-down process without the inputs  ...  A set of synthetic experiments were conducted in which a robot learned to imitate the gestures of another robot in a simulation environment.  ...  in V j with the ith feature map in the current layer, b is the bias and is an input visual image.  ... 
arXiv:1706.02444v1 fatcat:run7haoyabepbhnryxtcqnghaq

360-Degree Textures of People in Clothing from a Single Image [article]

Verica Lazova, Eldar Insafutdinov, Gerard Pons-Moll
2019 arXiv   pre-print
In order to learn our model in a common UV-space, we non-rigidly register the SMPL model to thousands of 3D scans, effectively encoding textures and geometries as images in correspondence.  ...  The predicted maps can be applied to the SMPL model in order to naturally generalize to novel poses, shapes, and even new clothing.  ...  Special thanks should be given to Mohamed Omran for contributing with an abundance of valuable ideas and most honest critiques.  ... 
arXiv:1908.07117v1 fatcat:x2t53g423rbldhqdfx647m6qbe

The Effectiveness of Infographic via Interactive Smart Board on enhancing Creative Thinking: A Cognitive Load Perspective

Osamah Mohammad Ameen Aldalalah, Assoc. Prof., Taibah University - Faculty of Education - Department of Educational Technologies, Saudi Arabia,
2021 International Journal of Instruction  
The findings of this study showed that students who have learned through the Infographic Pattern sound and image achieve design efficiently better in their post-test scores than those in the Infographic  ...  Pattern text and image.  ...  over the structural texts; hence, the use of drawings with data generates mental images that are easy to understand and remember.  ... 
doi:10.29333/iji.2021.14120a fatcat:2o4ybnolkjdjfkgcambacq324m

Bayesian multi-task learning for decoding multi-subject neuroimaging data

Andre F. Marquand, Michael Brammer, Steven C.R. Williams, Orla M. Doyle
2014 NeuroImage  
The primary advantage of MTL is that it makes more efficient use of the data available and leads to more accurate models by making use of the relationships between tasks.  ...  We present an MTL method for classification problems and demonstrate a novel mapping method suitable for PR models.  ...  support of our translational imaging research programme.  ... 
doi:10.1016/j.neuroimage.2014.02.008 pmid:24531053 pmcid:PMC4010954 fatcat:3otuufkq2rbmfksbriuqxzuh7m

How is bilateral symmetry of human faces used for recognition of novel views?

Nikolaus F. Troje, Heinrich H. Bülthoff
1998 Vision Research  
The results of Experiment 1 confirm the hypothesis that the ability to identify mirror symmetric patterns is used for viewpoint generalization by approximating the view symmetric to the learned view by  ...  The results of Experiment 2 show that the match between this virtual view and the test image is performed directly between the images.  ...  Each model consists of a range data map providing the geometry of the head and a texture map accounting for its local reflectance.  ... 
doi:10.1016/s0042-6989(97)00165-x pmid:9474378 fatcat:b4qpk53lknbp3hpspxl6enrp4a
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