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Towards a Hybrid System Using an Ontology Enriched by Rules for the Semantic Annotation of Brain MRI Images [chapter]

Ammar Mechouche, Christine Golbreich, Bernard Gibaud
Web Reasoning and Rule Systems  
Then, the reasoning is supported by an OWL DL ontology enriched by SWRL rules. The experiments described were achieved using the KAON2 reasoner for inferring the annotations.  ...  This paper describes an hybrid method combining symbolic and numerical techniques for annotating brain Magnetic Resonance images.  ...  We are grateful to Louis Collins of the Montreal Neurological Institute for the SPAMs database and to the Regional Council of Brittany for its support.  ... 
doi:10.1007/978-3-540-72982-2_16 dblp:conf/rr/MechoucheGG07 fatcat:ytdvejwn7jge3dozvwcfkrzfqi

Towards a Hybrid System for Brain MRI Images Description

Ammar Mechouche, Christine Golbreich, Bernard Gibaud
2006 W3C Web Ontology Language (OWL) Experiences and Directions Workshop (OWLED)  
The reasoning is supported by an OWL ontology extended with rules, and the facts extracted by the statistical component  ...  This paper describes a method combining symbolic and numerical techniques for annotating brain Magnetic Resonance images.  ...  This paper describes a new hybrid method for annotating brain images where SPAMs are used to get a sufficient set of initial facts for reasoning.  ... 
dblp:conf/owled/MechoucheGG06 fatcat:nsa67jemsvek5pbwcvjkwx4hhm

Semantic annotation of image processing tools

Bacem Wali, Bernard Gibaud
2012 Proceedings of the 2nd International Conference on Web Intelligence, Mining and Semantics - WIMS '12  
We propose an extension of the OntoNeuroLOG ontology to conceptualize shared processing tools and enable their semantic annotation.  ...  In the context of the NeuroLOG project, we designed the OntoNeuroLOG ontology as a cornerstone of our mediation layer. This contribution focuses on processing tools and is twofold.  ...  By resources we mean brain images obtained using various imaging modalities (MRI, CT, etc. …) and image processing tools deployed as Web Services or composed as workflows.  ... 
doi:10.1145/2254129.2254165 dblp:conf/wims/WaliG12 fatcat:plnd3phob5d5lgso5fbb3yuiym

The INCF Digital Atlasing Program: Report on Digital Atlasing Standards in the Rodent Brain

Michael Hawrylycz, Jyl Boline, Albert Burger, Tsutomu Hashikawa, G. Allan Johnson, Maryann Martone, Lydia Ng, Jonathan Nissanov, Luis Puelles, Seth Ruffins, Fons Verbeek, Ilya Zaslavsky
2009 Nature Precedings  
All of the above should take into consideration existing solutions; for example, those demonstrated by BioMoby, myGrid and BIRN.  ...  Typically, such links are dynamic, but not semantically marked up. An integration mechanism for biological annotations with fairly wide uptake is the Distributed Annotation System (DAS).  ...  Using the MRI volumes, an average brain and probabilistic atlas in WHS will be created, with structural surfaces consistent with the high resolution MRI.  ... 
doi:10.1038/npre.2009.4000 fatcat:zgzee4e5ivfo5gt6ouemrwfdsu

The INCF Digital Atlasing Program: Report on Digital Atlasing Standards in the Rodent Brain

Michael Hawrylycz, Jyl Boline, Albert Burger, Tsutomu Hashikawa, G. Allan Johnson, Maryann Martone, Lydia Ng, Jonathan Nissanov, Luis Puelles, Seth Ruffins, Fons Verbeek, Ilya Zaslavsky
2009 Nature Precedings  
All of the above should take into consideration existing solutions; for example, those demonstrated by BioMoby, myGrid and BIRN.  ...  Typically, such links are dynamic, but not semantically marked up. An integration mechanism for biological annotations with fairly wide uptake is the Distributed Annotation System (DAS).  ...  Using the MRI volumes, an average brain and probabilistic atlas in WHS will be created, with structural surfaces consistent with the high resolution MRI.  ... 
doi:10.1038/npre.2009.4000.1 fatcat:fezgneezbray5fwphzirvaw67a

A systematic review of natural language processing applied to radiology reports

Arlene Casey, Emma Davidson, Michael Poon, Hang Dong, Daniel Duma, Andreas Grivas, Claire Grover, Víctor Suárez-Paniagua, Richard Tobin, William Whiteley, Honghan Wu, Beatrice Alex
2021 BMC Medical Informatics and Decision Making  
Our results have significance for researchers in the field providing a systematic synthesis of existing work to build on, identify gaps, opportunities for collaboration and avoid duplication.  ...  Methods We conduct an automated literature search yielding 4836 results using automated filtering, metadata enriching steps and citation search combined with manual review.  ...  For example, we experimented with using specific terms used within medical imaging such at CT, MRI.  ... 
doi:10.1186/s12911-021-01533-7 pmid:34082729 pmcid:PMC8176715 fatcat:izv3gdjurfejjcb4nxcfemuuim

RadLex Normalization in Radiology Reports

Surabhi Datta, Jordan Godfrey-Stovall, Kirk Roberts
2021 AMIA Annual Symposium Proceedings  
Radiology reports have been widely used for extraction of various clinically significant information about patients' imaging studies.  ...  In this paper, we aim to normalize a diverse set of radiological entities to RadLex terms. We manually construct a normalization corpus by annotating entities from three types of reports.  ...  Acknowledgments This work was supported in part by the National Institute of Biomedical Imaging and Bioengineering (R21EB029575), the U.S.  ... 
pmid:33936406 pmcid:PMC8075450 fatcat:k26eivkivvghdhsi562qx3c4za

Neurocognitive Informatics Manifesto [article]

Włodzisław Duch
2021 arXiv   pre-print
Informatics studies all aspects of the structure of natural and artificial information systems.  ...  Neurocognitive informatics is a new, emerging field that should help to improve the matching of artificial and natural systems, and inspire better computational algorithms to solve problems that are still  ...  Lamb defined the goal of neurocognitive linguistics as: "an attempt to understand the linguistic system of the human brain, the system that makes it possible for us to speak and write, to understand speech  ... 
arXiv:2101.03609v1 fatcat:newlygw52vfytmfxtvtlzrohju

Emerging role of artificial intelligence in nuclear medicine

Ashish Kumar Jha, Sneha Mithun, Venkatesh Rangarajan, Leonard Wee, Andre Dekker
2021 Nuclear medicine communications  
Link to publication General rights Copyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of  ...  If the publication is distributed under the terms of Article 25fa of the Dutch Copyright Act, indicated by the "Taverne" license above, please follow below link for the End User  ...  Acknowledgements A.K.J. drafted the article and was principally responsible for the content. S.M., R.K. and V.R. contributed to the review of literature.  ... 
doi:10.1097/mnm.0000000000001381 fatcat:doimu6fzova23frqi5z7dyg2qu

Prototypes for Content-Based Image Retrieval in Clinical Practice

Adrien Depeursinge
2011 Open Medical Informatics Journal  
The systems identified were analyzed and compared according to the hierarchy of gaps for CBIR systems.  ...  We define applicability to clinical practice by having recently demonstrated the CBIR system on one of the CAD demonstration workshops held at international conferences, such as SPIE Medical Imaging, CARS  ...  ACKNOWLEDGEMENTS This work was supported by the European Union, Marie Curie Actions, International Research Staff Exchange Scheme (FP7-PEOPLE-2010-IRSES, Project No 269124, Warehousing images in the digital  ... 
doi:10.2174/1874431101105010058 pmid:21892374 pmcid:PMC3149811 fatcat:qf4z2x4ayffmbgd2wk72s3p7nq

Deep Learning, Natural Language Processing, and Explainable Artificial Intelligence in the Biomedical Domain [article]

Milad Moradi, Matthias Samwald
2022 arXiv   pre-print
In Section 4, we give an introduction to explainable artificial intelligence and discuss the importance of explainability of artificial intelligence systems, especially in the biomedical domain.  ...  We narrow down the focus of the study on textual data in Section 3, where natural language processing and its applications in the biomedical domain are described.  ...  in brain MRI (Qin et al., 2018) , constructing Bayesian rule lists for stroke prediction (Letham et al., 2015) , textual justification for breast mass classification systems (H.  ... 
arXiv:2202.12678v2 fatcat:4nv42mbpuveb7euxkr4b6ojuxi

An Early Stage Researcher's Primer on Systems Medicine Terminology

Massimiliano Zanin, Nadim A.A. Aitya, José Basilio, Jan Baumbach, Arriel Benis, Chandan K. Behera, Magda Bucholc, Filippo Castiglione, Ioanna Chouvarda, Blandine Comte, Tien-Tuan Dao, Xuemei Ding (+43 others)
2021 Network and Systems Medicine  
Systems Medicine is a novel approach to medicine, that is, an interdisciplinary field that considers the human body as a system, composed of multiple parts and of complex relationships at multiple levels  ...  Results: This glossary aims at being a first aid kit for the Systems Medicine researcher facing an unfamiliar term, where he/she can get a first understanding of them, and, more importantly, examples and  ...  electric (EEG) or magnetic (MEG) fields generated by the brain, or the consumption of oxygen by neurons (functional MRI).  ... 
doi:10.1089/nsm.2020.0003 pmid:33659919 pmcid:PMC7919422 fatcat:izso73zmcjf2foc54wgl6bnloi

Knowledge Augmented Machine Learning with Applications in Autonomous Driving: A Survey [article]

Julian Wörmann, Daniel Bogdoll, Etienne Bührle, Han Chen, Evaristus Fuh Chuo, Kostadin Cvejoski, Ludger van Elst, Tobias Gleißner, Philip Gottschall, Stefan Griesche, Christian Hellert, Christian Hesels (+34 others)
2022 arXiv   pre-print
As a consequence, the reliable use of these models, especially in safety-critical applications, is a huge challenge.  ...  However, the subsequent application of these models often involves scenarios that are inadequately represented in the data used for training.  ...  of legal texts through a semantic annotation.  ... 
arXiv:2205.04712v1 fatcat:u2bgxr2ctnfdjcdbruzrtjwot4

CARS 2020—Computer Assisted Radiology and Surgery Proceedings of the 34th International Congress and Exhibition, Munich, Germany, June 23–27, 2020

2020 International Journal of Computer Assisted Radiology and Surgery  
the exchange/communication of R&D ideas by means of verbal and written statements made by responsible authors, scrutinized by informed reviewers and utilized by an open-minded audience, with the aim to  ...  A hybrid (analogue and digital) CARS 2020 has therefore been envisaged to take place at the University Hospital in Munich, with a balanced combination of analogue/personal and digital presentations and  ...  Besides, use of gloves is low, so doses of hands are still high. Therefore, a master-slave robotic system for VI is necessary for minimization of the radiation exposure.  ... 
doi:10.1007/s11548-020-02171-6 pmid:32514840 fatcat:lyhdb2zfpjcqbf4mmbunddwroq

DeepHealth: Review and challenges of artificial intelligence in health informatics [article]

Gloria Hyunjung Kwak, Pan Hui
2020 arXiv   pre-print
Artificial intelligence has provided us with an exploration of a whole new research era.  ...  This article presents a comprehensive review of research applying artificial intelligence in health informatics, focusing on the last seven years in the fields of medical imaging, electronic health records  ...  Image registration is transforming one image set into another set of coordinate systems, and an example is registration of brain CT/MRI images or whole-body PET/CT images for tumor localization.  ... 
arXiv:1909.00384v2 fatcat:sy7pm2c2uvdd3pal2russn4xri
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