Relevant bibliographies by topics / Multimodality images

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Multimodality images'

Author: Grafiati
Published: 30 May 2022
Last updated: 31 July 2025

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Journal articles on the topic "Multimodality images"

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Vannier, M. W., and D. E. Gayou. "Automated registration of multimodality images." Radiology 169, no. 3 (1988): 860–61. http://dx.doi.org/10.1148/radiology.169.3.3263667.

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Moshfeghi, Mehran. "Elastic matching of multimodality medical images." CVGIP: Graphical Models and Image Processing 53, no. 3 (1991): 271–82. http://dx.doi.org/10.1016/1049-9652(91)90049-p.

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Nemkina, Nikol Igorevna. "The multimodality of Chinese folklore images." Litera, no. 6 (June 2024): 68–78. http://dx.doi.org/10.25136/2409-8698.2024.6.70957.

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This scientific article examines the phenomenon of multimodality based on the material of Chinese folklore images. The object of the research is the images of fictional characters of Chinese folklore works, and the subject is the analysis of images of Chinese folklore works in their multimodal expression in modern adaptations. The purpose of the study is to show how modern discursive practices, characterized by a high degree of multimodality, affect the development of the concept of the image of a folklore work in the recipient's mind. The tasks that were solved within the framework of this st
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Rahmanu, I. Wayan Eka Dian, Ida Bagus Artha Adnyana, I. Putu Yoga Laksana, I. Gusti Putu Sutarma, Ni Putu Somawati, and I. Made Riyan Adi Nugroho. "Investigating the Implementation of Multimodality and Spherical Video-Based Immersive Virtual Reality in the Indonesian Language for Foreign Speakers’ Learning Materials." Theory and Practice in Language Studies 13, no. 7 (2023): 1760–68. http://dx.doi.org/10.17507/tpls.1307.20.

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Experts have developed multimodality and spherical video-based immersive virtual reality (SV-IVR) for language learning to escalate learners’ cognition. However, neither experts nor teachers have explored and optimised the use of multimodality and SV-IVR in the Indonesian Language for Foreign Speakers (BIPA) learning materials. This study investigates foreign learners’ perception of multimodality and SV-IVR immersion in BIPA programme. The total sample involved in this study was 20 people from Europe, Asia, and the US. The results reveal that multimodality including utilisation of text, audio,
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van den Elsen, Petra A., J. B. Antoine Maintz, and Max A. Viergever. "Geometry driven multimodality matching of brain images." Brain Topography 5, no. 2 (1992): 153–57. http://dx.doi.org/10.1007/bf01129043.

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Nor, Hidayah, and Amaliya Septiani. "Enhancing Reading Instruction through Multimodality: A Pathway to Success." TEFLA Journal (Teaching English as Foreign Language and Applied Linguistic Journal) 5, no. 1 (2023): 8–16. http://dx.doi.org/10.35747/tefla.v5i1.649.

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This qualitative study investigates the use of multimodality in teaching reading to junior high school students at SMPN 1 Pulau Laut Tengah Kotabaru. Multimodality refers to the integration of various modes, such as images, sound, and writing, to convey meaning and enhance the learning process. The research involves one English teachers and 24 eighth-grade students as participants. The researchers used Descriptive qualitative as the research methods. In addition, observation, interviews, and documentation were utilized as data collection instruments. The findings reveal that teachers frequentl
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Campbell, Michael J., Andrew J. Lodge, and Stephen G. Miller. "Traumatic Gerbode ventricular septal defect and third-degree heart block." Cardiology in the Young 27, no. 2 (2016): 404–6. http://dx.doi.org/10.1017/s1047951116001359.

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AbstractWe present an interesting and rare case of traumatic Gerbode ventricular septal defect and complete heart block. The multimodality images illustrate the diagnosis well. This case is an excellent demonstration of the diagnostic utility of multimodality imaging.
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Xu, Yuanzhi, Jiahua Ni, Yunke Bi, et al. "Multimodality Imaging for Navigation in Endoscopic Transsphenoidal Surgeries." Journal of Neurological Surgery Part A: Central European Neurosurgery 79, no. 06 (2018): 486–95. http://dx.doi.org/10.1055/s-0038-1666789.

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Background and Study Aims Computed tomography (CT) and magnetic resonance image (MRI) data have been widely used to for navigation in various neurosurgical operations. However, delicate intracranial structures cannot be displayed using only one imaging method. Navigation with multimodality imaging was developed to better visualize these structures in glioma removal, but whether it is useful in endoscopic transsphenoidal surgery is unknown. We describe our clinical experience using multimodality imaging for navigation in endoscopic transsphenoidal surgeries. Material and Methods A total of 134
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Zhang, Xu, DeZhi Han, and Chin-Chen Chang. "RDMMFET: Representation of Dense Multimodality Fusion Encoder Based on Transformer." Mobile Information Systems 2021 (October 18, 2021): 1–9. http://dx.doi.org/10.1155/2021/2662064.

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Visual question answering (VQA) is the natural language question-answering of visual images. The model of VQA needs to make corresponding answers according to specific questions based on understanding images, the most important of which is to understand the relationship between images and language. Therefore, this paper proposes a new model, Representation of Dense Multimodality Fusion Encoder Based on Transformer, for short, RDMMFET, which can learn the related knowledge between vision and language. The RDMMFET model consists of three parts: dense language encoder, image encoder, and multimod
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Pink, Sarah. "Multimodality, multisensoriality and ethnographic knowing: social semiotics and the phenomenology of perception." Qualitative Research 11, no. 3 (2011): 261–76. http://dx.doi.org/10.1177/1468794111399835.

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In this article I consider the potential for combining multimodality and anthropologically informed sensory ethnographic methodologies. I focus on a comparison between anthropological and multimodality approaches to the senses, the relationships between images and words, and ethnography. In doing so I reveal some of the tensions and fundamental differences between these approaches before then considering if and/or how these might be reconciled.
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Dissertations / Theses on the topic "Multimodality images"

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Zeng, Ziming. "Medical image segmentation on multimodality images." Thesis, Aberystwyth University, 2013. http://hdl.handle.net/2160/17cd13c2-067c-451b-8217-70947f89164e.

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Segmentation is a hot issue in the domain of medical image analysis. It has a wide range of applications on medical research. A great many medical image segmentation algorithms have been proposed, and many good segmentation results were obtained. However, due to the noise, density inhomogenity, partial volume effects, and density overlap between normal and abnormal tissues in medical images, the segmentation accuracy and robustness of some state-of-the-art methods still have room for improvement. This thesis aims to deal with the above segmentation problems and improve the segmentation accurac
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Ke, Yan. "Deep Networks Based Energy Models for Object Recognition from Multimodality Images." Thesis, The University of Sydney, 2016. http://hdl.handle.net/2123/15641.

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Object recognition has been extensively investigated in computer vision area, since it is a fundamental and essential technique in many important applications, such as robotics, auto-driving, automated manufacturing, and security surveillance. According to the selection criteria, object recognition mechanisms can be broadly categorized into object proposal and classification, eye fixation prediction and saliency object detection. Object proposal tends to capture all potential objects from natural images, and then classify them into predefined groups for image description and interpretation. F
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Wang, Hesheng. "Multimodality Images Analysis for Photodynamic Therapy of Prostate Cancer in Mouse Models." Case Western Reserve University School of Graduate Studies / OhioLINK, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=case1251311096.

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O, Dobrina. "Segmentation as a part of the intelligent medical image processing." Thesis, Київ, Національний авіаційний університет, 2012. http://er.nau.edu.ua/handle/NAU/18854.

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Segmentation is one of the key tools in medical image analysis that allows an accurate recognizing and delineating individual objects (e.g. organs) on the whole image quickly and effectively. In general, segmentation technics can be divided into two main groups: methods of explicitly specifying the desired feature and algorithms where the specification is implicit. Automated segmentation of medical images is a difficult task, because the images are often noisy and contain more than a single anatomical structure with narrow distance between organ boundaries.
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NOVELLINO, MARCIA OLIVE. "MOVING IMAGES: MULTIMODALITY IN THE TEACHING MATERIALS FOR ENGLISH AS A FOREIGN LANGUAGE." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2011. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=20588@1.

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PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO<br>A multimodalidade é um campo de estudo que vem chamando a atenção da comunidade acadêmica e intelectual, cujas investigações visam compreender a relação entre os diversos modos de produção e interpretação do significado na sociedade atual. O tema é de grande interesse para o ensino de inglês como língua estrangeira, considerando o volume de materiais que apresentam múltiplos modos de comunicação. O presente estudo se propõe a investigar as imagens em movimento que acompanham uma série de livros e material didático e visa, assim, contribuir
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Sidiropoulos, Konstantinos. "Pattern recognition systems design on parallel GPU architectures for breast lesions characterisation employing multimodality images." Thesis, Brunel University, 2014. http://bura.brunel.ac.uk/handle/2438/9190.

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The aim of this research was to address the computational complexity in designing multimodality Computer-Aided Diagnosis (CAD) systems for characterising breast lesions, by harnessing the general purpose computational potential of consumer-level Graphics Processing Units (GPUs) through parallel programming methods. The complexity in designing such systems lies on the increased dimensionality of the problem, due to the multiple imaging modalities involved, on the inherent complexity of optimal design methods for securing high precision, and on assessing the performance of the design prior to de
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Lindqvist, Linda. "Views of the Ending of the Cold War : A case study that compares multimodal images in Swedish newspapers and history textbooks." Thesis, Stockholms universitet, Institutionen för mediestudier, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-77701.

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This study compares how newspaper yearbooks and current upper secondary school history textbooks represent the Cold War between the years 1985-1991. As earlier research, this multimodal study focuses discourses and images. In addition I examine the usefulness of mediatization as illuminating tool in this context. For these aims, I have constructed a three-step model, in which concepts from mediatization theory are operationalized, and combined with Theo Van Leeuwen’s social semiotic theory. This thesis compares 356 representations from two yearbooks to 16 ones from three textbooks. At present,
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Doran, Yaegan John. "Knowledge in Physics through Mathematics, Image and Language." Thesis, The University of Sydney, 2015. http://hdl.handle.net/2123/15173.

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This thesis explores the nature of knowledge in physics and the discourse that organises it. In particular, it focuses on the affordances of mathematics, image and language for construing the highly technical meanings that constitute this knowledge. It shows that each of these resources play a crucial role in physics’ ability to generate generalised theory whilst maintaining relevance to the empirical physical world. First, to understand how mathematics contributes to knowledge-building, the thesis presents a detailed descriptive model from the perspective of Systemic Functional Semiotics tha
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Pendergrass, Lynne M. "Shifting Their Thinking: Using Visual Images to Encourage Critical Thinking in Young Learners." Thesis, University of North Texas, 2020. https://digital.library.unt.edu/ark:/67531/metadc1707300/.

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The purpose of this qualitative inquiry is to explore critical visual literacy in a first grade classroom at a private school. This case study design focuses on students learning how to take a critical stance by focusing on the visual images, children's picture books, and visual arts masterpieces. The research question guiding this study is: How does a visual literacy approach using inferential and critical questioning support first graders' development of critical literacy? Four social issue topics were discussed which were exploring difference, bullying, poverty and global issues. The stud
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Prasai, Persis. "Multimodality image registration." Birmingham, Ala. : University of Alabama at Birmingham, 2006. http://www.mhsl.uab.edu/dt/2007m/prasai.pdf.

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Books on the topic "Multimodality images"

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Norris, Sigrid, and Carmen Daniela Maier. Interactions, images and texts: A reader in multimodality. De Gruyter Mouton, 2014.

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Interactions, Images and Texts: A Reader in Multimodality. De Gruyter, Inc., 2015.

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Beolchi, L., and M. H. Kuhn. Medical Imaging: Analysis of Multimodality 2D/3D Images. IOS Press, Incorporated, 1995.

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Norris, Sigrid, and Carmen Daniela Maier. Interactions, Images and Texts: A Reader in Multimodality. de Gruyter GmbH, Walter, 2014.

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(Editor), L. Beolchi, and M. H. Kuhn (Editor), eds. Medical Imaging, Analysis of Multimodality 2D/3D Images (Studies in Health Technology and Informatics, 19). Ios Pr Inc, 1995.

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Wilson, Rita, and Brigid Maher, eds. Words, Images and Performances in Translation. Continuum International Publishing Group, 2012. http://dx.doi.org/10.5040/9781472541833.

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This volume presents fresh approaches to the role that translation – in its many forms – plays in enabling and mediating global cultural exchange. As modes of communication and textual production continue to evolve, the field of translation studies has an increasingly important role in exploring the ways in which words, images and performances are translated and reinterpreted in new socio-cultural contexts. The book includes an innovative mix of literary, cultural and intersemiotic perspectives and represents a wide range of languages and cultures. The contributions are all linked by a shared
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Leeuwen, Theo van, and Staffan Selander. Semiotics of Toys and Games. Bloomsbury Publishing Plc, 2024. http://dx.doi.org/10.5040/9781350324923.

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Drawing on extensive research over more than two decades, this book focuses on toys and games as resources for play.It analyses their functionalities as well as their symbolic meaning potentials, exemplifying how they are used in different contexts, such as home and preschool, and how these uses are regulated by parental, pedagogic and marketing discourses. Building on the work of semioticians such as Barthes, Baudrillard and Krampen, as well as on the social semiotics of Halliday, Hodge, Kress, and others, the book introduces a framework for the multimodal semiotic analysis of physical object
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Katz, Mira-Lisa. Moving Ideas: Multimodality and Embodied Learning in Communities and Schools. Lang Publishing, Incorporated, Peter, 2013.

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Katz, Mira-Lisa. Moving Ideas: Multimodality and Embodied Learning in Communities and Schools. Lang AG International Academic Publishers, Peter, 2013.

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San Román, Alejandra Carbonell, and José Luis Zamorano. Interventional echocardiography. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780198726012.003.0065.

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Multimodality imaging is vital in any percutaneous cardiac procedure, increasing the precision and accuracy of the procedure to optimize results and reduce complications to a minimum. Three-dimensional transoesophageal echocardiography has progressively become essential, as it provides supportive and precise image information, additive to that obtained by conventional two-dimensional imaging. The rapidly evolving technology to improve visualization and image resolution is aiding the development and performance of these techniques with an increasing need of qualified imaging expertise. This cha
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Book chapters on the topic "Multimodality images"

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Rohr, Karl. "Elastic Registration of Multimodality Images." In Computational Imaging and Vision. Springer Netherlands, 2001. http://dx.doi.org/10.1007/978-94-015-9787-6_4.

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Chen, Yixiong, Csilla Weninger, and Fei Victor Lim. "Chapter 4. Multimodality." In Research Methods in Applied Linguistics. John Benjamins Publishing Company, 2024. http://dx.doi.org/10.1075/rmal.6.04che.

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Multimodality examines how language and other resources (e.g., images and gestures) are integrated to make meaning for communication. This chapter aims to introduce two approaches to multimodality from a systemic-functional semiotic perspective, namely social semiotics and systemic functional multimodal discourse analysis (SF-MDA), and discuss their applications in applied linguistics. Specifically, this chapter begins with an overview of the theoretical underpinnings of the two approaches, focusing on their shared functionalist origins and the origin’s theoretical and methodological implicati
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Rodríguez-Carranza, C. E., and M. H. Loew. "Automatic Detection of Large Misregistrations of Multimodality Medical Images." In Medical Image Computing and Computer-Assisted Intervention – MICCAI 2001. Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-45468-3_150.

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Chen, Weixiang, Hongchen Ji, Jianjiang Feng, et al. "Classification of Pancreatic Cystic Neoplasms Based on Multimodality Images." In Machine Learning in Medical Imaging. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-00919-9_19.

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Medapati, Bhaskara Manikanta Reddy, Spurthy Maria Pais, and Shrutilipi Bhattacharjee. "Disaster Classification Using Multimodality Techniques by Integrating Images and Text." In Communications in Computer and Information Science. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-96473-2_13.

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Qiu, Jianfeng, Xiuqing Qian, Haiying Quan, Wangjun, and Zhicheng Liu. "The in vivo 3D Optic nerve head modeling based on human multimodality images." In IFMBE Proceedings. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-29305-4_71.

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Huang, Y., U. Knorr, G. Schlaug, R. J. Seitz, and H. Steinmetz. "Segmentation of MR Brain Images for Multimodality Fusion and Gray/White Matter Volumetry." In Computer Assisted Radiology / Computergestützte Radiologie. Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/978-3-642-49351-5_160.

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Lemoine, D., C. Barillot, B. Gibaud, and E. Pasqualini. "A 3D C1 Stereotactic Deformation Model to Merge Multimodality Images and Atlas Data." In Computer Assisted Radiology / Computergestützte Radiologie. Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-662-00807-2_106.

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Hata, Nobuhiko, Takeyoshi Dohi, Simon Warfield, William Wells, Ron Kikinis, and Ferenc A. Jolesz. "Multimodality deformable registration of pre- and intraoperative images for MRI-guided brain surgery." In Medical Image Computing and Computer-Assisted Intervention — MICCAI’98. Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/bfb0056296.

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Courant, Robin, Maika Edberg, Nicolas Dufour, and Vicky Kalogeiton. "Transformers and Visual Transformers." In Machine Learning for Brain Disorders. Springer US, 2012. http://dx.doi.org/10.1007/978-1-0716-3195-9_6.

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AbstractTransformers were initially introduced for natural language processing (NLP) tasks, but fast they were adopted by most deep learning fields, including computer vision. They measure the relationships between pairs of input tokens (words in the case of text strings, parts of images for visual transformers), termed attention. The cost is exponential with the number of tokens. For image classification, the most common transformer architecture uses only the transformer encoder in order to transform the various input tokens. However, there are also numerous other applications in which the de
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Conference papers on the topic "Multimodality images"

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Khan, Aamir, Nisha Chandran S., and D. R. Gangodkar. "Multimodality Data Integration for Improved Skin Cancer Disease Classification and Prediction: An Analysis Using Trained Model on HAM-10000 Metadata & Squamous Cell Carcinoma (SCC) Images." In 2024 International Conference on Communication, Computing and Energy Efficient Technologies (I3CEET). IEEE, 2024. https://doi.org/10.1109/i3ceet61722.2024.10994163.

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Mirza, Muhammad Waqar, Zhengqiao Zhao, and Susanto Rahardja. "LaRU-Net: Laplacian Attention Residual U-Net for Multimodality Medical Image Enhancement." In 2025 19th International Conference on Ubiquitous Information Management and Communication (IMCOM). IEEE, 2025. https://doi.org/10.1109/imcom64595.2025.10857571.

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Chinzei, Kiyoyuki, Takeyoshi Dohi, Takashi Horiuchi, et al. "Quantitative integration of multimodality medical images." In Visualization in Biomedical Computing, edited by Richard A. Robb. SPIE, 1992. http://dx.doi.org/10.1117/12.131077.

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Sebastian, Jinu, and G. R. Gnana King. "Fusion of Multimodality Medical Images- A Review." In 2021 Smart Technologies, Communication and Robotics (STCR). IEEE, 2021. http://dx.doi.org/10.1109/stcr51658.2021.9588882.

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Chen, Chin-Tu. "Integration of multimodality images: success and future directions." In IS&T/SPIE's Symposium on Electronic Imaging: Science and Technology, edited by Raj S. Acharya and Dmitry B. Goldgof. SPIE, 1993. http://dx.doi.org/10.1117/12.148641.

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Grevera, George J., and Jayaram K. Udupa. "Alignment of multimodality, 2D and 3D breast images." In Medical Imaging 2003, edited by Milan Sonka and J. Michael Fitzpatrick. SPIE, 2003. http://dx.doi.org/10.1117/12.481405.

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Jiang, Hongjian, Kerrie S. Holton, and Richard A. Robb. "Image registration of multimodality 3-D medical images by chamfer matching." In SPIE/IS&T 1992 Symposium on Electronic Imaging: Science and Technology, edited by Raj S. Acharya, Carol J. Cogswell, and Dmitry B. Goldgof. SPIE, 1992. http://dx.doi.org/10.1117/12.59565.

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Spero, Laurence A., Bennett R. Groshong, Brian P. Harrawood, Thomas M. Bashore, and Jack T. Cusma. "Multimodality cardiac image review station using dynamic decompression of JPEG images." In Medical Imaging 1995, edited by Yongmin Kim. SPIE, 1995. http://dx.doi.org/10.1117/12.207635.

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Kavitha S. and Thyagharajan K.K. "Analysis of multimodality brain images using machine learning techniques." In 2015 International Conference on Communications and Signal Processing (ICCSP). IEEE, 2015. http://dx.doi.org/10.1109/iccsp.2015.7322761.

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Kanakatte, Aparna, Divya Bhatia, and Avik Ghose. "Heart Region Segmentation using Dense VNet from Multimodality Images." In 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). IEEE, 2021. http://dx.doi.org/10.1109/embc46164.2021.9630303.

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Reports on the topic "Multimodality images"

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Mills, Kathy, Elizabeth Heck, Alinta Brown, Patricia Funnell, and Lesley Friend. Senses together : Multimodal literacy learning in primary education : Final project report. Institute for Learning Sciences and Teacher Education, Australian Catholic University, 2023. http://dx.doi.org/10.24268/acu.8zy8y.

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[Executive summary] Literacy studies have traditionally focussed on the seen. The other senses are typically under-recognised in literacy studies and research, where the visual sense has been previously prioritised. However, spoken and written language, images, gestures, touch, movement, and sound are part of everyday literacy practices. Communication is no longer focussed on visual texts but is a multisensory experience. Effective communication depends then on sensory orchestration, which unifies the body and its senses. Understanding sensory orchestration is crucial to literacy learning in t
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Kurdziel, Karen, Michael Hagan, Jeffrey Williamson, et al. Multimodality Image-Guided HDR/IMRT in Prostate Cancer: Combined Molecular Targeting Using Nanoparticle MR, 3D MRSI, and 11C Acetate PET Imaging. Defense Technical Information Center, 2005. http://dx.doi.org/10.21236/ada446542.

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Makhachashvili, Rusudan K., Svetlana I. Kovpik, Anna O. Bakhtina, and Ekaterina O. Shmeltser. Technology of presentation of literature on the Emoji Maker platform: pedagogical function of graphic mimesis. [б. в.], 2020. http://dx.doi.org/10.31812/123456789/3864.

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The article deals with the technology of visualizing fictional text (poetry) with the help of emoji symbols in the Emoji Maker platform that not only activates students’ thinking, but also develops creative attention, makes it possible to reproduce the meaning of poetry in a succinct way. The application of this technology has yielded the significance of introducing a computer being emoji in the study and mastering of literature is absolutely logical: an emoji, phenomenologically, logically and eidologically installed in the digital continuum, is separated from the natural language provided by
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