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2022, 'Leveraging image complexity in macro-level neural network design for medical image segmentation', Scientific Reports, 12, http://dx.doi.org/10.1038/s41598-022-26482-7
,2022, 'Survival prediction in triple negative breast cancer using multiple instance learning of histopathological images', Scientific Reports, 12, http://dx.doi.org/10.1038/s41598-022-18647-1
,2022, 'A 3D Tubular Flux Model for Centerline Extraction in Neuron Volumetric Images', IEEE Transactions on Medical Imaging, 41, pp. 1069 - 1079, http://dx.doi.org/10.1109/TMI.2021.3130987
,2022, 'Deep-Learning-Based Automated Neuron Reconstruction From 3D Microscopy Images Using Synthetic Training Images', IEEE Transactions on Medical Imaging, 41, pp. 1031 - 1042, http://dx.doi.org/10.1109/TMI.2021.3130934
,2022, 'DeepRayburst for Automatic Shape Analysis of Tree-Like Structures in Biomedical Images', IEEE Journal of Biomedical and Health Informatics, 26, pp. 2204 - 2215, http://dx.doi.org/10.1109/JBHI.2021.3124514
,2022, 'Fully Elman Neural Network: A Novel Deep Recurrent Neural Network Optimized by an Improved Harris Hawks Algorithm for Classification of Pulmonary Arterial Wedge Pressure', IEEE Transactions on Biomedical Engineering, 69, pp. 1733 - 1744, http://dx.doi.org/10.1109/TBME.2021.3129459
,2022, 'Structure-Guided Segmentation for 3D Neuron Reconstruction', IEEE Transactions on Medical Imaging, 41, pp. 903 - 914, http://dx.doi.org/10.1109/TMI.2021.3125777
,2022, 'Deep Learning in Biological Image and Signal Processing', IEEE Signal Processing Magazine, 39, pp. 24 - 26, http://dx.doi.org/10.1109/MSP.2021.3134525
,2021, 'Automatic improvement of deep learning-based cell segmentation in time-lapse microscopy by neural architecture search', Bioinformatics, 37, pp. 4844 - 4850, http://dx.doi.org/10.1093/bioinformatics/btab556
,2021, 'Deep learning methods for automatic segmentation of lower leg muscles and bones from MRI scans of children with and without cerebral palsy', NMR in Biomedicine, 34, http://dx.doi.org/10.1002/nbm.4609
,2021, 'Estimation of three-dimensional chromatin morphology for nuclear classification and characterisation', Scientific Reports, 11, http://dx.doi.org/10.1038/s41598-021-82985-9
,2021, 'Protein phosphatase 2b dual function facilitates synaptic integrity and motor learning', Journal of Neuroscience, 41, pp. 5579 - 5594, http://dx.doi.org/10.1523/JNEUROSCI.1741-20.2021
,2021, 'Classifying retinal degeneration in histological sections using deep learning', Translational Vision Science and Technology, 10, http://dx.doi.org/10.1167/tvst.10.7.9
,2021, 'Efficient 3D Junction Detection in Biomedical Images Based on a Circular Sampling Model and Reverse Mapping', IEEE Journal of Biomedical and Health Informatics, 25, pp. 1612 - 1623, http://dx.doi.org/10.1109/JBHI.2020.3036743
,2021, 'Spherical-Patches Extraction for Deep-Learning-Based Critical Points Detection in 3D Neuron Microscopy Images', IEEE Transactions on Medical Imaging, 40, pp. 527 - 538, http://dx.doi.org/10.1109/TMI.2020.3031289
,2021, '3D Neuron Microscopy Image Segmentation via the Ray-Shooting Model and a DC-BLSTM Network', IEEE Transactions on Medical Imaging, 40, pp. 26 - 37, http://dx.doi.org/10.1109/TMI.2020.3021493
,2020, 'Concerted action of kinesins kif5b and kif13b promotes efficient secretory vesicle transport to microtubule plus ends', Elife, 9, pp. 1 - 37, http://dx.doi.org/10.7554/eLife.61302
,2020, 'Deep-learning method for data association in particle tracking', Bioinformatics, 36, pp. 4935 - 4941, http://dx.doi.org/10.1093/bioinformatics/btaa597
,2020, 'A bird's-eye view of deep learning in bioimage analysis', Computational and Structural Biotechnology Journal, 18, pp. 2312 - 2325, http://dx.doi.org/10.1016/j.csbj.2020.08.003
,2019, 'Particle Mobility Analysis Using Deep Learning and the Moment Scaling Spectrum', Scientific Reports, 9, http://dx.doi.org/10.1038/s41598-019-53663-8
,2019, 'Automated Neuron Reconstruction from 3D Fluorescence Microscopy Images Using Sequential Monte Carlo Estimation', Neuroinformatics, 17, pp. 423 - 442, http://dx.doi.org/10.1007/s12021-018-9407-8
,2019, 'Bayesian Polytrees with Learned Deep Features for Multi-Class Cell Segmentation', IEEE Transactions on Image Processing, 28, pp. 3246 - 3260, http://dx.doi.org/10.1109/TIP.2019.2895455
,2019, 'Automated Neuron Detection in High-Content Fluorescence Microscopy Images Using Machine Learning', Neuroinformatics, 17, pp. 253 - 269, http://dx.doi.org/10.1007/s12021-018-9399-4
,2019, '3-D quantification of filopodia in motile cancer cells', IEEE Transactions on Medical Imaging, 38, pp. 862 - 872, http://dx.doi.org/10.1109/TMI.2018.2873842
,2019, 'Reverse genetic screen reveals that Il34 facilitates yolk sac macrophage distribution and seeding of the brain', Dmm Disease Models and Mechanisms, 12, http://dx.doi.org/10.1242/dmm.037762
,2018, 'IN THE SPOTLIGHT', IEEE SIGNAL PROCESSING MAGAZINE, 35, pp. 125 - +, https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000450235600013&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=891bb5ab6ba270e68a29b250adbe88d1
,2018, 'Spotlight on Bioimaging and Signal Processing [In the Spotlight]', IEEE Signal Processing Magazine, 35, pp. 125 - 128, http://dx.doi.org/10.1109/MSP.2018.2864772
,2017, 'An objective comparison of cell-tracking algorithms', Nature Methods, 14, pp. 1141 - 1152, http://dx.doi.org/10.1038/nmeth.4473
,2017, 'EB1 and EB3 regulate microtubule minus end organization and Golgi morphology', Journal of Cell Biology, 216, pp. 3179 - 3198, http://dx.doi.org/10.1083/jcb.201701024
,2017, 'Automated neuron tracing using probability hypothesis density filtering', Bioinformatics, 33, pp. 1073 - 1080, http://dx.doi.org/10.1093/bioinformatics/btw751
,2017, 'Automatic tracing of ultra-volumes of neuronal images', Nature Methods, 14, pp. 332 - 333, http://dx.doi.org/10.1038/nmeth.4233
,2016, 'Imagining the future of bioimage analysis', Nature Biotechnology, 34, pp. 1250 - 1255, http://dx.doi.org/10.1038/nbt.3722
,2016, 'Fuzzy-Logic Based Detection and Characterization of Junctions and Terminations in Fluorescence Microscopy Images of Neurons', Neuroinformatics, 14, pp. 201 - 219, http://dx.doi.org/10.1007/s12021-015-9287-0
,2015, 'Erratum: Multiple sparse representations classification (PLoS ONE (2015) 10:7 (e0131968) (Doi:10.1371/journal.pone.0131968))', Plos One, 10, http://dx.doi.org/10.1371/journal.pone.0136827
,2015, 'Quantitative comparison of multiframe data association techniques for particle tracking in time-lapse fluorescence microscopy', Medical Image Analysis, 24, pp. 163 - 189, http://dx.doi.org/10.1016/j.media.2015.06.006
,2015, 'From DIADEM to BigNeuron', Neuroinformatics, 13, pp. 259 - 260, http://dx.doi.org/10.1007/s12021-015-9270-9
,2015, 'BigNeuron: Large-Scale 3D Neuron Reconstruction from Optical Microscopy Images', Neuron, 87, pp. 252 - 256, http://dx.doi.org/10.1016/j.neuron.2015.06.036
,2015, 'Multiple sparse representations classification', Plos One, 10, http://dx.doi.org/10.1371/journal.pone.0131968
,2015, 'BRCA2 diffuses as oligomeric clusters with RAD51 and changes mobility after DNA damage in live cells (vol 207, pg 599, 2014)', JOURNAL OF CELL BIOLOGY, 208, pp. 857 - 857, http://dx.doi.org/10.1083/jcb.20140501402182015c
,2015, 'Comprehensive single cell-resolution analysis of the role of chromatin regulators in early C. elegans embryogenesis', Developmental Biology, 398, pp. 153 - 162, http://dx.doi.org/10.1016/j.ydbio.2014.10.014
,2015, 'Quantitative imaging of focal adhesion dynamics and their regulation by HGF and Rap1 signaling', Experimental Cell Research, 330, pp. 382 - 397, http://dx.doi.org/10.1016/j.yexcr.2014.10.012
,2015, 'Correction to: "BRCA2 diffuses as oligomeric clusters with RAD51 and changes mobility after DNA damage in live cells" [J. Cell Biol. Vol. 207 No. 5, December 8, 2014. Pages 599-613]', Journal of Cell Biology, 208, pp. 857 - 857, http://dx.doi.org/10.1083/jcb.20140501402182015c
,2015, 'Quantitative bioimaging: Signal processing in light microscopy', IEEE Signal Processing Magazine, 32, pp. 18 - 19, http://dx.doi.org/10.1109/MSP.2014.2359691
,2015, 'Toward a morphodynamic model of the cell: Signal processing for cell modeling', IEEE Signal Processing Magazine, 32, pp. 20 - 29, http://dx.doi.org/10.1109/MSP.2014.2358263
,2014, 'Extracellular matrix defects in aneurysmal Fibulin-4 mice predispose to lung emphysema', Plos One, 9, http://dx.doi.org/10.1371/journal.pone.0106054
,2014, 'Interactive local super-resolution reconstruction of whole-body MRI mouse data: A pilot study with applications to bone and kidney metastases', Plos One, 9, http://dx.doi.org/10.1371/journal.pone.0108730
,2014, 'A benchmark for comparison of cell tracking algorithms', Bioinformatics, 30, pp. 1609 - 1617, http://dx.doi.org/10.1093/bioinformatics/btu080
,2014, 'Objective comparison of particle tracking methods', Nature Methods, 11, pp. 281 - 289, http://dx.doi.org/10.1038/nmeth.2808
,2014, 'BRCA2 diffuses as oligomeric clusters with RAD51 and changes mobility after DNA damage in live cells', Journal of Cell Biology, 207, pp. 599 - 613, http://dx.doi.org/10.1083/jcb.201405014
,2014, 'Three-dimensional inversion recovery manganese-enhanced MRI of mouse brain using super-resolution reconstruction to visualize nuclei involved in higher brain function', NMR in Biomedicine, 27, pp. 749 - 759, http://dx.doi.org/10.1002/nbm.3108
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