Gotowa bibliografia na temat „Large baseline image registration”
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Artykuły w czasopismach na temat "Large baseline image registration"
Fidler, A., B. Likar, F. Pernus, and U. Skaleric. "Impact of JPEG lossy image compression on quantitative digital subtraction radiography." Dentomaxillofacial Radiology 31, no. 2 (2002): 106–12. http://dx.doi.org/10.1038/sj/dmfr/4600670.
Pełny tekst źródłaSun, Quan, Lei Liu, Zhaodong Niu, Yabo Li, Jingyi Zhang, and Zhuang Wang. "A Practical Star Image Registration Algorithm Using Radial Module and Rotation Angle Features." Remote Sensing 15, no. 21 (2023): 5146. http://dx.doi.org/10.3390/rs15215146.
Pełny tekst źródłaWang, Shuxin, Shilei Cao, Dong Wei, et al. "Alternative Baselines for Low-Shot 3D Medical Image Segmentation---An Atlas Perspective." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 1 (2021): 634–42. http://dx.doi.org/10.1609/aaai.v35i1.16143.
Pełny tekst źródłaMo, Nan. "Brain image registration optimization method via SAM-Med3D multi-scale feature migration." BIO Web of Conferences 174 (2025): 03021. https://doi.org/10.1051/bioconf/202517403021.
Pełny tekst źródłaStrittmatter, Anika, Anna Caroli, and Frank G. Zöllner. "A Multistage Rigid-Affine-Deformable Network for Three-Dimensional Multimodal Medical Image Registration." Applied Sciences 13, no. 24 (2023): 13298. http://dx.doi.org/10.3390/app132413298.
Pełny tekst źródłaYao, Guobiao, Jin Zhang, Jianya Gong, and Fengxiang Jin. "Automatic Production of Deep Learning Benchmark Dataset for Affine-Invariant Feature Matching." ISPRS International Journal of Geo-Information 12, no. 2 (2023): 33. http://dx.doi.org/10.3390/ijgi12020033.
Pełny tekst źródłaSchmit, Timothy J., Paul Griffith, Mathew M. Gunshor, Jaime M. Daniels, Steven J. Goodman, and William J. Lebair. "A Closer Look at the ABI on the GOES-R Series." Bulletin of the American Meteorological Society 98, no. 4 (2017): 681–98. http://dx.doi.org/10.1175/bams-d-15-00230.1.
Pełny tekst źródłaJohnson, J. Patrick, Doniel Drazin, Wesley A. King, and Terrence T. Kim. "Image-guided navigation and video-assisted thoracoscopic spine surgery: the second generation." Neurosurgical Focus 36, no. 3 (2014): E8. http://dx.doi.org/10.3171/2014.1.focus13532.
Pełny tekst źródłaWu, Zhenning, Xiaolei Lv, Ye Yun, and Wei Duan. "A Parallel Sequential SBAS Processing Framework Based on Hadoop Distributed Computing." Remote Sensing 16, no. 3 (2024): 466. http://dx.doi.org/10.3390/rs16030466.
Pełny tekst źródłaLi, Jingyi, Mengqi Han, Yongsen Chen, et al. "Prediction of recurrent ischaemic stroke using radiomics data and machine learning methods in patients with acute ischaemic stroke: protocol for a multicentre, large sample, prospective observational cohort study in China." BMJ Open 13, no. 10 (2023): e076406. http://dx.doi.org/10.1136/bmjopen-2023-076406.
Pełny tekst źródłaRozprawy doktorskie na temat "Large baseline image registration"
Elassam, Abdelkarim. "Learning-based vanishing point detection and its application to large-baseline image registration." Electronic Thesis or Diss., Université de Lorraine, 2024. http://www.theses.fr/2024LORR0084.
Pełny tekst źródłaAl-Shahri, Mohammed. "Line Matching in a Wide-Baseline Stereoview." The Ohio State University, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=osu1376951775.
Pełny tekst źródłaLakemond, Ruan. "Multiple camera management using wide baseline matching." Thesis, Queensland University of Technology, 2010. https://eprints.qut.edu.au/37668/1/Ruan_Lakemond_Thesis.pdf.
Pełny tekst źródłaShao, Wei. "Identifying the shape collapse problem in large deformation image registration." Thesis, University of Iowa, 2016. https://ir.uiowa.edu/etd/2276.
Pełny tekst źródłaEiben, B. "Integration of biomechanical models into image registration in the presence of large deformations." Thesis, University College London (University of London), 2016. http://discovery.ucl.ac.uk/1476650/.
Pełny tekst źródłaBriand, Thibaud. "Image Formation from a Large Sequence of RAW Images : performance and accuracy." Thesis, Paris Est, 2018. http://www.theses.fr/2018PESC1017/document.
Pełny tekst źródłaKönig, Lars [Verfasser]. "Matrix-free approaches for deformable image registration with large-scale and real-time applications in medical imaging / Lars König." Lübeck : Zentrale Hochschulbibliothek Lübeck, 2019. http://d-nb.info/1175137189/34.
Pełny tekst źródłaMatos, Ana Carolina Fonseca. "Development of a large baseline stereo vision rig for pedestrian and other target detection on road." Master's thesis, Universidade de Aveiro, 2016. http://hdl.handle.net/10773/17055.
Pełny tekst źródłaChnafa, Christophe. "Using image-based large-eddy simulations to investigate the intracardiac flow and its turbulent nature." Thesis, Montpellier 2, 2014. http://www.theses.fr/2014MON20112/document.
Pełny tekst źródłaLotz, Johannes [Verfasser], Jan [Akademischer Betreuer] Modersitzki, and Heinz [Akademischer Betreuer] Handels. "Combined local and global image registration and its application to large-scale images in digital pathology / Johannes Lotz ; Akademische Betreuer: Jan Modersitzki, Heinz Handels." Lübeck : Zentrale Hochschulbibliothek Lübeck, 2020. http://d-nb.info/1217024069/34.
Pełny tekst źródłaKsiążki na temat "Large baseline image registration"
Schelbert, Heinrich R. Image-Based Measurements of Myocardial Blood Flow. Oxford University Press, 2015. http://dx.doi.org/10.1093/med/9780199392094.003.0024.
Pełny tekst źródłaCzęści książek na temat "Large baseline image registration"
Risser, Laurent, François-Xavier Vialard, Maria Murgasova, Darryl Holm, and Daniel Rueckert. "Large Deformation Diffeomorphic Registration Using Fine and Coarse Strategies." In Biomedical Image Registration. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-14366-3_17.
Pełny tekst źródłaGrothausmann, Roman, Dženan Zukić, Matt McCormick, Christian Mühlfeld, and Lars Knudsen. "Enabling Manual Intervention for Otherwise Automated Registration of Large Image Series." In Biomedical Image Registration. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-50120-4_3.
Pełny tekst źródłaDelponte, Elisabetta, Francesco Isgrò, Francesca Odone, and Alessandro Verri. "Large Baseline Matching of Scale Invariant Features." In Image Analysis and Processing – ICIAP 2005. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11553595_97.
Pełny tekst źródłaHe, Jianchun, and Gary E. Christensen. "Large Deformation Inverse Consistent Elastic Image Registration." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-45087-0_37.
Pełny tekst źródłaBarrow, Michael, Nelson Ho, Alric Althoff, Peter Tueller, and Ryan Kastner. "Benchmarking Video with the Surgical Image Registration Generator (SIRGn) Baseline." In Advances in Visual Computing. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-33723-0_26.
Pełny tekst źródłaZhang, Pei, Marc Niethammer, Dinggang Shen, and Pew-Thian Yap. "Large Deformation Diffeomorphic Registration of Diffusion-Weighted Images." In Medical Image Computing and Computer-Assisted Intervention – MICCAI 2012. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33418-4_22.
Pełny tekst źródłaMedan, Guy, Achia Kronman, and Leo Joskowicz. "Reduced-Dose Patient to Baseline CT Rigid Registration in 3D Radon Space." In Medical Image Computing and Computer-Assisted Intervention – MICCAI 2014. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-10404-1_37.
Pełny tekst źródłaMok, Tony C. W., and Albert C. S. Chung. "Large Deformation Diffeomorphic Image Registration with Laplacian Pyramid Networks." In Medical Image Computing and Computer Assisted Intervention – MICCAI 2020. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-59716-0_21.
Pełny tekst źródłaOnofrey, John A., Lawrence H. Staib, and Xenophon Papademetris. "Semi-supervised Learning of Nonrigid Deformations for Image Registration." In Medical Computer Vision. Large Data in Medical Imaging. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-05530-5_2.
Pełny tekst źródłaOnofrey, John A., Lawrence H. Staib, and Xenophon Papademetris. "Semi-supervised Learning of Nonrigid Deformations for Image Registration." In Medical Computer Vision. Large Data in Medical Imaging. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-14104-6_2.
Pełny tekst źródłaStreszczenia konferencji na temat "Large baseline image registration"
Zou, Haonan, Hong Zheng, Xin Jiang, Bin Jiang, and Qingling Xia. "LKGDIR: A Deformable Image Registration Network with Large Kernel Ghost Module." In 2024 8th Asian Conference on Artificial Intelligence Technology (ACAIT). IEEE, 2024. https://doi.org/10.1109/acait63902.2024.11021875.
Pełny tekst źródłaLi, Yinghao, Zhiyuan Dong, Mengyuan Yao, Yue Liu, and Yusong Lin. "A Pyramidal Feature Selection and Translation Approach for Large Deformation Image Registration." In 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2024. https://doi.org/10.1109/bibm62325.2024.10821908.
Pełny tekst źródłaWu, Jiong, and Kuang Gong. "Unsupervised Learning-Based Large Deformation Diffeomorphic Metric Mapping for Fast Image Registration." In 2025 IEEE 22nd International Symposium on Biomedical Imaging (ISBI). IEEE, 2025. https://doi.org/10.1109/isbi60581.2025.10981122.
Pełny tekst źródłaLi, Ruizhe, Grazziela Figueredo, Dorothee Auer, Christian Wagner, and Xin Chen. "MrRegNet: Multi-Resolution Mask Guided Convolutional Neural Network for Medical Image Registration with Large Deformations." In 2024 IEEE International Symposium on Biomedical Imaging (ISBI). IEEE, 2024. http://dx.doi.org/10.1109/isbi56570.2024.10635510.
Pełny tekst źródłaMahmood, Hassan, Farah Nawar, Syed Mohammed Shamsul Islam, and Asim Iqbal. "NeuroAtlas: An Artificial Intelligence-Based Framework for Annotation, Segmentation and Registration of Large Scale Biomedical Imaging Data." In 2024 International Conference on Digital Image Computing: Techniques and Applications (DICTA). IEEE, 2024. https://doi.org/10.1109/dicta63115.2024.00055.
Pełny tekst źródłaRamasamy, Manikandan, Mark Potsdam, and Gloria Yamauchi. "Measurements to Understand the Flow Mechanisms Contributing to Tandem-Rotor Outwash." In Vertical Flight Society 71st Annual Forum & Technology Display. The Vertical Flight Society, 2015. http://dx.doi.org/10.4050/f-0071-2015-10100.
Pełny tekst źródłaCaner, Gulcin, A. Murat Tekalp, Gaurav Sharma, and Wendi Heinzelman. "Multi-View Image Registration for Wide-Baseline Visual Sensor Networks." In 2006 International Conference on Image Processing. IEEE, 2006. http://dx.doi.org/10.1109/icip.2006.313170.
Pełny tekst źródła"LOG-UNBIASED LARGE-DEFORMATION IMAGE REGISTRATION." In International Conference on Computer Vision Theory and Applications. SciTePress - Science and and Technology Publications, 2007. http://dx.doi.org/10.5220/0002048202720279.
Pełny tekst źródłaJing Liu, Marian Chuang, Andrew Chisholm, and Pamela Cosman. "Image registration robust to sparse large errors." In 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2015. http://dx.doi.org/10.1109/embc.2015.7318772.
Pełny tekst źródłaHering, Alessa, and Stefan Heldmann. "Unsupervised learning for large motion thoracic CT follow-up registration." In Image Processing, edited by Elsa D. Angelini and Bennett A. Landman. SPIE, 2019. http://dx.doi.org/10.1117/12.2506962.
Pełny tekst źródłaRaporty organizacyjne na temat "Large baseline image registration"
Blais-Stevens, A., A. Castagner, A. Grenier, and K D Brewer. Preliminary results from a subbottom profiling survey of Seton Lake, British Columbia. Natural Resources Canada/CMSS/Information Management, 2023. http://dx.doi.org/10.4095/332277.
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