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Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 25, 2010
A hybrid multimodal non-rigid registration of MR images based on diffeomorphic demonsHuanxiang Lu, Philippe C Cattin, Mauricio Reyes
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|April 3, 2013
Hierarchical segmentation-assisted multimodal registration for MR brain imagesHuanxiang Lu, Roland Beisteiner, Lutz-Peter Nolte, et al.
Surgical Innovation|March 13, 2016
A Novel Ultrasound-Based Registration for Image-Guided Laparoscopic Liver AblationMatteo Fusaglia, Pascale Tinguely, Vanessa Banz, et al.
Journal of Magnetic Resonance Imaging : JMRI|June 26, 2014
Image registration for triggered and non-triggered DTI of the human kidney: reduced variability of diffusion parameter estimationMaryam Seif, Huanxiang Lu, Chris Boesch, et al.
Magnetic Resonance in Medicine|June 1, 2012
Proton T1 relaxation times of metabolites in human occipital white and gray matter at 7 TLijing Xin, Benoît Schaller, Vladimir Mlynarik, et al.
Nature Communications|August 31, 2019
A null model of the mouse whole-neocortex micro-connectomeMichael W Reimann, Michael Gevaert, Ying Shi, et al.
International Journal of Computer Assisted Radiology and Surgery|October 19, 2015
A clinically applicable laser-based image-guided system for laparoscopic liver proceduresMatteo Fusaglia, Hanspeter Hess, Marius Schwalbe, et al.
Journal of Magnetic Resonance Imaging : JMRI|February 13, 2016
Diffusion tensor imaging of the human kidney: Does image registration permit scanning without respiratory triggering?Maryam Seif, Laila Yasmin Mani, Huanxiang Lu, et al.
Imaging Neuroscience (Cambridge, Mass.)|August 13, 2025
Enhancement of brain atlases with laminar coordinate systems: Flatmaps and barrel column annotationsSirio Bolaños-Puchet, Aleksandra Teska, Juan B Hernando, et al.
Medical Image Analysis|April 17, 2025
Joint semi-supervised and contrastive learning enables domain generalization and multi-domain segmentationAlvaro Gomariz, Yusuke Kikuchi, Yun Yvonna Li, et al.
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