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Publication search results
found 41 matches
- 2023
- Augusto Bonilauri, Francesca Sangiuliano Intra, Francesca Baglio, Giuseppe Baselli:
Impact of Anatomical Variability on Sensitivity Profile in fNIRS-MRI Integration. Sensors 23(4): 2089 (2023) - María Correas, María S. Guillem, Jorge Sánchez:
Automated Generation of Purkinje Networks in the Human Heart Considering the Anatomical Variability. FIMH 2023: 127-136 - Johannes Kiechle, Dylan Miller, Jordan Slessor, Matthew Pietrosanu, Linglong Kong, Christian Beaulieu, Dana Cobzas:
Explaining Anatomical Shape Variability: Supervised Disentangling with A Variational Graph Autoencoder. ISBI 2023: 1-5 - 2022
- Silvio Taschieri, Stefano Corbella, Amel Silnovic, Luca Francetti, Carmelo Messina, Luca Maria Sconfienza, Domenico Albano:
Frequency and anatomic variability of the mandibular lingual foramina: a cone-beam CT study. BMC Medical Imaging 22(1): 12 (2022) - Takayuki Ose, Joonas A. A. Autio, Masahiro Ohno, Stephen Frey, Akiko Uematsu, Akihiro Kawasaki, Chiho Takeda, Yuki Hori, Kantaro Nishigori, Tomokazu Nakako, Chihiro Yokoyama, Hidetaka Nagata, Tetsuo Yamamori, David C. Van Essen, Matthew F. Glasser, Hiroshi Watabe, Takuya Hayashi:
Anatomical variability, multi-modal coordinate systems, and precision targeting in the marmoset brain. NeuroImage 250: 118965 (2022) - Xiaofeng Liu, Fangxu Xing, Thibault Marin, Georges El Fakhri, Jonghye Woo:
Variational inference for quantifying inter-observer variability in segmentation of anatomical structures. Medical Imaging: Image Processing 2022 - Xiaofeng Liu, Fangxu Xing, Thibault Marin, Georges El Fakhri, Jonghye Woo:
Variational Inference for Quantifying Inter-observer Variability in Segmentation of Anatomical Structures. CoRR abs/2201.07106 (2022) - 2021
- Katarína Furmanová, Ludvig P. Muren, Oscar Casares-Magaz, Vitali Moiseenko, John P. Einck, Sara Pilskog, Renata G. Raidou:
PREVIS: Predictive visual analytics of anatomical variability for radiotherapy decision support. Comput. Graph. 97: 126-138 (2021) - Salvatore Bertino, Gianpaolo Antonio Basile, Alessia Bramanti, Rosella Ciurleo, Adriana Tisano, Giuseppe Anastasi, Demetrio Milardi, Alberto Cacciola:
Ventral intermediate nucleus structural connectivity-derived segmentation: anatomical reliability and variability. NeuroImage 243: 118519 (2021) - Francisca Ferreira, Harith Akram, John Ashburner, Ludvic U. Zrinzo, Hui Zhang, Christian Lambert:
Ventralis intermedius nucleus anatomical variability assessment by MRI structural connectivity. NeuroImage 238: 118231 (2021) - Charles Jabour, Damien Garcia, Thibaud Mathis, Olivier Loria, Cédric Rochepeau, Brahim Harbaoui, Pierre Lantelme, Didier Vray, Odyssée Merveille:
Robust Foveal Avascular Zone Segmentation and Anatomical Feature Extraction from OCT-A Handling Inter-Expert Variability. ISBI 2021: 1682-1685 - Fleur Gaudfernau, Eléonore Blondiaux, Stéphanie Allassonnière:
Analysis of the Anatomical Variability of Fetal Brains with Corpus Callosum Agenesis. UNSURE/PIPPI@MICCAI 2021: 274-283 - 2018
- Long Xie, Laura E. M. Wisse, Sandhitsu R. Das, Ranjit Ittyerah, Jiancong Wang, David A. Wolk, Paul A. Yushkevich:
Characterizing Anatomical Variability and Alzheimer's Disease Related Cortical Thinning in the Medial Temporal Lobe Using Graph-Based Groupwise Registration and Point Set Geodesic Shooting. ShapeMI@MICCAI 2018: 28-37 - 2017
- Claire Cury, Joan Alexis Glaunès, Marie Chupin, Olivier Colliot:
Analysis of anatomical variability using diffeomorphic iterative centroid in patients with Alzheimer's disease. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 5(5): 350-358 (2017) - Efrén Juárez-Castillo, Héctor-Gabriel Acosta-Mesa, Juan Fernández-Ruiz, Nicandro Cruz-Ramírez:
A feature selection method based on a neighborhood approach for contending with functional and anatomical variability in fMRI group analysis of cognitive states. Intell. Data Anal. 21(3): 661-677 (2017) - Miaomiao Zhang, William M. Wells III, Polina Golland:
Probabilistic modeling of anatomical variability using a low dimensional parameterization of diffeomorphisms. Medical Image Anal. 41: 55-62 (2017) - Long Xie, John Pluta, Sandhitsu R. Das, Laura E. M. Wisse, Hongzhi Wang, Lauren Mancuso, Dasha Kliot, Brian B. Avants, Song-Lin Ding, José V. Manjón, David A. Wolk, Paul A. Yushkevich:
Multi-template analysis of human perirhinal cortex in brain MRI: Explicitly accounting for anatomical variability. NeuroImage 144: 183-202 (2017) - 2016
- Linsey Griffin, Crystal Compton, Lucy E. Dunne:
An analysis of the variability of anatomical body references within ready-to-wear garment sizes. ISWC 2016: 84-91 - Bryn A. Lloyd, Emilio Cherubini, Silvia Farcito, Esra Neufeld, Christian Baumgartner, Niels Kuster:
Covering Population Variability: Morphing of Computation Anatomical Models. SASHIMI@MICCAI 2016: 13-22 - Daniel Jacob Tward, Chelsea S. Sicat, Timothy Brown, Arnold Bakker, Michael I. Miller:
Reducing Variability in Anatomical Definitions Over Time Using Longitudinal Diffeomorphic Mapping. SeSAMI@MICCAI 2016: 51-62 - Miaomiao Zhang, William M. Wells III, Polina Golland:
Low-Dimensional Statistics of Anatomical Variability via Compact Representation of Image Deformations. MICCAI (3) 2016: 166-173 - 2014
- Max C. Keuken, Pierre-Louis Bazin, L. Crown, J. Hootsmans, A. Laufer, Christa Müller-Axt, R. Sier, E. J. van der Putten, Andreas Schäfer, Robert Turner, Birte U. Forstmann:
Quantifying inter-individual anatomical variability in the subcortex using 7 T structural MRI. NeuroImage 94: 40-46 (2014) - 2013
- Won Hee Lee, Sarah H. Lisanby, Andrew F. Laine, Angel V. Peterchev:
Anatomical variability predicts individual differences in transcranial electric stimulation motor threshold. EMBC 2013: 815-818 - 2012
- Christof Seiler, Xavier Pennec, Mauricio Reyes:
Capturing the multiscale anatomical shape variability with polyaffine transformation trees. Medical Image Anal. 16(7): 1371-1384 (2012) - Martin A. Frost, Rainer Goebel:
Measuring structural-functional correspondence: Spatial variability of specialised brain regions after macro-anatomical alignment. NeuroImage 59(2): 1369-1381 (2012) - 2011
- John Ashburner, Stefan Klöppel:
Multivariate models of inter-subject anatomical variability. NeuroImage 56(2): 422-439 (2011) - 2010
- Axel Günther Krauth:
Modeling of subcortical anatomy and variability from stereotactic anatomical atlases. ETH Zurich, 2010, ISBN 978-3-86628-330-5, pp. 1-109 - Stanley Durrleman:
Statistical models of currents for measuring the variability of anatomical curves, surfaces and their evolution. (Modèles statistiques de courants pour mesurer la variabilité anatomique de courbes, de surfaces et de leur évolution). University of Nice Sophia Antipolis, France, 2010 - 2009
- Mauricio Reyes, Miguel Ángel González Ballester, Zhixi Li, Nina Kozic, See Chin, Ronald M. Summers, Marius George Linguraru:
Anatomical Variability of Organs Via Principal Factor Analysis from the Construction of an Abdominal Probabilistic Atlas. ISBI 2009: 682-685 - 2008
- Ashish Uthama, Rafeef Abugharbieh, Samantha J. Palmer, Anthony Traboulsee, Martin J. McKeown:
SPHARM-Based Spatial fMRI Characterization With Intersubject Anatomical Variability Reduction. IEEE J. Sel. Top. Signal Process. 2(6): 907-918 (2008)
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