Select Publications
Conference Papers
2013, 'Super-resolution reconstruction using cross-scale self-similarity in multi-slice MRI', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 123 - 130, http://dx.doi.org/10.1007/978-3-642-40760-4_16
,2012, 'Super-resolution reconstruction of whole-body MRI mouse data: An interactive approach', in Proceedings - International Symposium on Biomedical Imaging, pp. 1723 - 1726, http://dx.doi.org/10.1109/ISBI.2012.6235912
,2012, 'Super-resolution reconstruction in MRI: Better images faster?', in Progress in Biomedical Optics and Imaging - Proceedings of SPIE, http://dx.doi.org/10.1117/12.911235
,2012, 'RECONSTRUCTION AND QUANTIFICATION OF NEURONAL MORPHOLOGY', in 2012 9TH IEEE INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI), IEEE, SPAIN, Barcelona, pp. 1787 - 1787, presented at 9th IEEE International Symposium on Biomedical Imaging (ISBI) - From Nano to Macro, SPAIN, Barcelona, 02 May 2012 - 05 May 2012, https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000312384100460&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=891bb5ab6ba270e68a29b250adbe88d1
,2011, 'Automated lineage tree reconstruction from Caenorhabditis elegans image data using particle filtering based cell tracking', in Proceedings - International Symposium on Biomedical Imaging, pp. 1921 - 1924, http://dx.doi.org/10.1109/ISBI.2011.5872785
,2011, 'Quantitative comparison of tracking methods for motion analysis in tagged MRI', in Proceedings - International Symposium on Biomedical Imaging, pp. 345 - 348, http://dx.doi.org/10.1109/ISBI.2011.5872420
,2011, 'Trans-dimensional MCMC methods for fully automatic motion analysis in tagged MRI', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 573 - 580, http://dx.doi.org/10.1007/978-3-642-23623-5_72
,2011, 'Trans-dimensional MCMC methods for fully automatic motion analysis in tagged MRI', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 573 - 580, http://dx.doi.org/10.1007/978-3-642-23623-5_72
,2010, '2010 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010 - Proceedings: Welcome', in 2010 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010 - Proceedings, http://dx.doi.org/10.1109/ISBI.2010.5490277
,2010, 'Particle filtering methods for motion analysis in tagged MRI', in 2010 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010 - Proceedings, pp. 488 - 491, http://dx.doi.org/10.1109/ISBI.2010.5490302
,2009, 'Energy minimization methods for cell motion correction and intracellular analysis in live-cell fluorescence microscopy', in Proceedings - 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2009, pp. 1127 - 1130, http://dx.doi.org/10.1109/ISBI.2009.5193255
,2009, 'Quantitative comparison of spot detection methods in live-cell fluorescence microscopy imaging', in Proceedings - 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2009, pp. 1178 - 1181, http://dx.doi.org/10.1109/ISBI.2009.5193268
,2009, 'Accurate estimation of microtubule dynamics using kymographs and variable-rate particle filters', in Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009, pp. 1012 - 1015, http://dx.doi.org/10.1109/IEMBS.2009.5333350
,2009, 'Model-based approach for tracking embryogenesis in Caenorhabditis elegans fluorescence microscopy data', in Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009, pp. 5356 - 5359, http://dx.doi.org/10.1109/IEMBS.2009.5334046
,2008, 'A new detection scheme for multiple object tracking in fluorescence microscopy by joint probabilistic data association filtering', in 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Proceedings, ISBI, pp. 264 - 267, http://dx.doi.org/10.1109/ISBI.2008.4540983
,2008, 'Advanced level-set based multiple-cell segmentation and tracking in time-lapse fluorescence microscopy images', in 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Proceedings, ISBI, pp. 185 - 188, http://dx.doi.org/10.1109/ISBI.2008.4540963
,2007, 'A variational model for level-set based cell tracking in time-lapse fluorescence microscopy images', in 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings, pp. 97 - 100, http://dx.doi.org/10.1109/ISBI.2007.356797
,2007, 'Advanced particle filtering for multiple object tracking in dynamic fluorescence microscopy images', in 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings, pp. 1048 - 1051, http://dx.doi.org/10.1109/ISBI.2007.357035
,2007, 'Rao-blackwellized marginal particle filtering for multiple object tracking in molecular bioimaging', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 110 - 121, http://dx.doi.org/10.1007/978-3-540-73273-0_10
,2006, 'Particle filtering for multiple object tracking in molecular cell biology', in NSSPW - Nonlinear Statistical Signal Processing Workshop 2006, http://dx.doi.org/10.1109/NSSPW.2006.4378836
,2006, '2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings: Welcome', in 2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings
,2006, 'Bayesian tracking for fluorescence microscopic imaging', in 2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings, pp. 550 - 553
,2004, 'Neurite tracing in fluorescence microscopy images using ridge filtering and graph searching: Principles and validation', in 2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano, pp. 1219 - 1222
,2004, 'VAMPIRE: Improved method for automated center lumen line definition in atherosclerotic carotid arteries in CTA data', in Lecture Notes in Computer Science, pp. 525 - 532
,2003, 'A novel approach to neurite tracing in fluorescence microscopy images', in Proceedings of the IASTED International Conference on Signal and Image Processing, pp. 491 - 495
,2002, 'Diffusion-enhanced visualization and quantification of vascular anomalies in three-dimensional rotational angiography: Results of an in-vitro evaluation', in Medical Image Analysis, pp. 215 - 233, http://dx.doi.org/10.1016/S1361-8415(02)00081-6
,2001, 'Evaluation of diffusion techniques for improved vessel visualization and quantification in three-dimensional rotational angiography', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 177 - 185, http://dx.doi.org/10.1007/3-540-45468-3_22
,2000, 'Guide wire tracking in interventional radiology', in Lemke HU; Vannier MW; Inamura K; Farman AG; Doi K (eds.), CARS 2000: COMPUTER ASSISTED RADIOLOGY AND SURGERY, ELSEVIER SCIENCE BV, CA, SAN FRANCISCO, pp. 537 - 542, presented at 14th International Congress and Exhibition on Computer Assisted Radiology and Surgery (CARS 2000), CA, SAN FRANCISCO, 28 June 2000 - 01 July 2000, https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000165685600090&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=891bb5ab6ba270e68a29b250adbe88d1
,2000, 'Spline interpolation in medical imaging: Comparison with other convolution-based approaches', in European Signal Processing Conference
,2000, 'Guide wire tracking during endovascular interventions', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 727 - 734, http://dx.doi.org/10.1007/978-3-540-40899-4_75
,1999, 'Fast image registration technique for motion artifact reduction in DSA', in IEEE International Conference on Image Processing, pp. 435 - 439
,1999, 'Piecewise polynomial kernels for image interpolation: A generalization of cubic convolution', in IEEE International Conference on Image Processing, pp. 647 - 651
,1999, 'Sinc-approximating kernels of classical polynomial interpolation', in IEEE International Conference on Image Processing, pp. 652 - 656
,1999, 'Quantitative comparison of sinc-approximating kernels for medical image interpolation', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 210 - 218, http://dx.doi.org/10.1007/10704282_23
,1998, 'General multimodal elastic registration based on mutual information', in Proceedings of SPIE - The International Society for Optical Engineering, pp. 144 - 154, http://dx.doi.org/10.1117/12.310845
,1998, 'A fast technique for motion correction in DAS using a feature-based, irregular grid', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 590 - 597, http://dx.doi.org/10.1007/bfb0056244
,'Welcome', in 3rd IEEE International Symposium on Biomedical Imaging: Macro to Nano, 2006., IEEE, presented at 3rd IEEE International Symposium on Biomedical Imaging: Macro to Nano, 2006., http://dx.doi.org/10.1109/isbi.2006.1624830
,Preprints
2023, Feature Enhancer Segmentation Network (FES-Net) for Vessel Segmentation, , http://dx.doi.org/10.48550/arxiv.2309.03535
,2023, Breast cancer histopathology image-based gene expression prediction using spatial transcriptomics data and deep learning, , http://dx.doi.org/10.21203/rs.3.rs-2983276/v1
,2023, hist2RNA: An efficient deep learning architecture to predict gene expression from breast cancer histopathology images, , http://dx.doi.org/10.48550/arxiv.2304.04507
,2023, Hybrid Dual Mean-Teacher Network With Double-Uncertainty Guidance for Semi-Supervised Segmentation of MRI Scans, , http://dx.doi.org/10.48550/arxiv.2303.05126
,2022, From Nano to Macro: Overview of the IEEE Bio Image and Signal Processing Technical Committee, , http://dx.doi.org/10.48550/arxiv.2210.17346
,2022, MKIS-Net: A Light-Weight Multi-Kernel Network for Medical Image Segmentation, , http://dx.doi.org/10.48550/arxiv.2210.08168
,2022, Neural Network Compression by Joint Sparsity Promotion and Redundancy Reduction, , http://dx.doi.org/10.48550/arxiv.2210.07451
,2022, Imbalanced classification for protein subcellular localisation with multilabel oversampling, , http://dx.doi.org/10.1101/2022.09.12.507675
,2022, Data augmentation for imbalanced blood cell image classification, , http://dx.doi.org/10.1101/2022.08.30.505762
,2022, Leveraging Image Complexity in Macro-Level Neural Network Design for Medical Image Segmentation, , http://dx.doi.org/10.21203/rs.3.rs-1833303/v1
,2022, Data augmentation for imbalanced blood cell image classification, , http://dx.doi.org/10.21203/rs.3.rs-1645828/v1
,2022, BigNeuron: A resource to benchmark and predict best-performing algorithms for automated reconstruction of neuronal morphology, , http://dx.doi.org/10.1101/2022.05.10.491406
,2020, Concerted action of kinesins KIF5B and KIF13B promotes efficient secretory vesicle transport to microtubule plus ends, , http://dx.doi.org/10.1101/2020.04.06.027862
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