The checkerboard tissue block. An improved multitissue control block, Lab Invest, vol.63, pp.722-724, 1990. ,
Tissue microarrays for high-throughput molecular profiling of tumor specimens, Nature Medicine, vol.54, issue.7, pp.844-847, 1998. ,
DOI : 10.1023/A:1005769925670
Multiple tissue core arrays in histopathology research: a validation study, The Journal of Pathology, vol.152, issue.4, pp.549-553, 2000. ,
DOI : 10.1038/bjc.1996.563
Reflections on the use of controls in immunohistochemistry and proposal for application of a multitissue spring-roll control block, Annals of Diagnostic Pathology, vol.4, issue.5, pp.329-336, 2000. ,
DOI : 10.1053/adpa.2000.17892
Frozen Tumor Tissue Microarray Technology for Analysis of Tumor RNA, DNA, and Proteins, The American Journal of Pathology, vol.159, issue.5, pp.1645-1650, 2001. ,
DOI : 10.1016/S0002-9440(10)63011-8
Tissue microarrays: a new approach for quality control in immunohistochemistry, Journal of Clinical Pathology, vol.55, issue.8, pp.613-615, 2002. ,
DOI : 10.1136/jcp.55.8.613
A simple method for the construction of small format tissue arrays, Journal of Clinical Pathology, vol.56, issue.2, pp.144-146, 2003. ,
DOI : 10.1136/jcp.56.2.144
Tissue Macroarray: A Simple and Cost-effective Method for High-Throughput Studies, Applied Immunohistochemistry & Molecular Morphology, vol.11, issue.2, pp.174-176, 2003. ,
DOI : 10.1097/00129039-200306000-00015
A novel method for preparation of tissue microarray, World Journal of Gastroenterology, vol.10, issue.4, pp.579-582, 2004. ,
DOI : 10.3748/wjg.v10.i4.579
An Easy Method for Manual Construction of High-density Tissue Arrays, Applied Immunohistochemistry & Molecular Morphology, vol.12, issue.4, pp.370-372, 2004. ,
DOI : 10.1097/00129039-200412000-00015
A Simple Inexpensive Method for the Production of Tissue Microarrays from Needle Biopsy Specimens, Applied Immunohistochemistry & Molecular Morphology, vol.13, issue.1, pp.96-103, 2005. ,
DOI : 10.1097/00129039-200503000-00016
A Novel Method for Making "Tissue" Microarrays From Small Numbers of Suspension Cells, Applied Immunohistochemistry & Molecular Morphology, vol.13, issue.1, pp.80-84, 2005. ,
DOI : 10.1097/00129039-200503000-00013
Tissue microarray design and construction for scientific, industrial and diagnostic use, J Pathol Inform, vol.3, 2012. ,
Automated Acquisition of Stained Tissue Microarrays for High-Throughput Evaluation of Molecular Targets, The Journal of Molecular Diagnostics, vol.5, issue.3, pp.160-167, 2003. ,
DOI : 10.1016/S1525-1578(10)60468-0
A Prototype for Unsupervised Analysis of Tissue Microarrays for Cancer Research and Diagnostics, IEEE Transactions on Information Technology in Biomedicine, vol.8, issue.2, pp.89-96, 2004. ,
DOI : 10.1109/TITB.2004.828891
An automated procedure to properly handle digital images in large scale Tissue Microarray experiments, Computer Methods and Programs in Biomedicine, vol.79, issue.3, pp.197-208, 2005. ,
DOI : 10.1016/j.cmpb.2005.04.004
Framework for Parsing, Visualizing and Scoring Tissue Microarray Images, IEEE Transactions on Information Technology in Biomedicine, vol.10, issue.2, pp.209-219, 2006. ,
DOI : 10.1109/TITB.2005.855544
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.90.9621
Robust gridding of TMAs after whole-slide imaging using template matching, Cytometry Part A, vol.25, issue.12, pp.771169-1176, 2010. ,
DOI : 10.1016/S1525-1578(10)60468-0
A TMA De-Arraying Method for High Throughput Biomarker Discovery in Tissue Research, PLoS ONE, vol.6, issue.10, p.26007, 2011. ,
DOI : 10.1371/journal.pone.0026007.t001
Image restoration with noise suppression using wavelet transform, Astronomy and Astrophysics, vol.288, pp.342-348, 1994. ,
The Ovuscule, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.33, issue.2, pp.382-393, 2011. ,
DOI : 10.1109/TPAMI.2010.112
Principal warps: thin-plate splines and the decomposition of deformations, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.11, issue.6, pp.567-585, 1989. ,
DOI : 10.1109/34.24792
A Guided Tour of Selected Image Processing and Analysis Methods for Fluorescence and Electron Microscopy, IEEE Journal of Selected Topics in Signal Processing, vol.10, issue.1, pp.6-30, 2016. ,
DOI : 10.1109/JSTSP.2015.2505402
URL : https://hal.archives-ouvertes.fr/hal-01246375
Locating objects of interest within biological images : The top hat box filter, Computer Assisted Microscopy, vol.3, issue.2, pp.97-102, 1991. ,
Extraction of spots in biological images using multiscale products, Pattern Recognition, vol.35, issue.9, pp.1989-1996, 2002. ,
DOI : 10.1016/S0031-3203(01)00127-3
Automatic tracking of individual fluorescence particles: application to the study of chromosome dynamics, IEEE Transactions on Image Processing, vol.14, issue.9, pp.1372-1383, 2005. ,
DOI : 10.1109/TIP.2005.852787
Multiscale Variance-Stabilizing Transform for Mixed-Poisson-Gaussian Processes and its Applications in Bioimaging, 2007 IEEE International Conference on Image Processing, pp.233-236, 2007. ,
DOI : 10.1109/ICIP.2007.4379564
A new detection scheme for multiple object tracking in fluorescence microscopy by joint probabilistic data association filtering, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, pp.264-267, 2008. ,
DOI : 10.1109/ISBI.2008.4540983
SLT-LoG: A vesicle segmentation method with automatic scale selection and local thresholding applied to TIRF microscopy, 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI), pp.533-536, 2014. ,
DOI : 10.1109/ISBI.2014.6867926
URL : https://hal.archives-ouvertes.fr/hal-00921793
Fast detection and refined scale estimation using complex isotropic wavelets, 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI), pp.512-515, 2015. ,
DOI : 10.1109/ISBI.2015.7163923
SpotCaliper: fast wavelet-based spot detection with accurate size estimation, Bioinformatics, vol.32, issue.8, pp.1278-1280, 2016. ,
DOI : 10.1093/bioinformatics/btv728
Snakes: Active contour models, International Journal of Computer Vision, vol.5, issue.6035, pp.321-331, 1998. ,
DOI : 10.1007/BF00133570
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.124.5318
Snakes on a Plane: A perfect snap for bioimage analysis, IEEE Signal Processing Magazine, vol.32, issue.1, pp.41-48, 2015. ,
DOI : 10.1109/MSP.2014.2344552
Region competition: unifying snakes, region growing, energy/Bayes/MDL for multi-band image segmentation, Proceedings of IEEE International Conference on Computer Vision, pp.884-890, 1996. ,
DOI : 10.1109/ICCV.1995.466909
Active contoru without edges, IEEE Trans Image Processing, vol.10, issue.2, pp.266-277, 2001. ,
Optimal level curves and minimizers of cost functionals in image segmentation, Journal of Mathematical Imaging and Vision, vol.17, issue.2, pp.153-174, 2002. ,
DOI : 10.1023/A:1020685520659
Geodesic active contours, Proceedings of IEEE International Conference on Computer Vision, pp.61-79, 1997. ,
DOI : 10.1109/ICCV.1995.466871
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.21.2196
Feature extraction from faces using deformable templates, International Journal of Computer Vision, vol.26, issue.6, pp.99-111, 1992. ,
DOI : 10.1117/12.7974127
Structural Image Restoration through Deformable Templates, Journal of the American Statistical Association, vol.10, issue.414, pp.376-387, 1991. ,
DOI : 10.1007/978-1-4684-0302-2
Hands ? A Pattern Theoretic Study of Biological Shapes, 1991. ,
Representations of knowledge in complex systems, J Royal Statistical Society, series B, vol.56, issue.4, pp.549-603, 1994. ,
A Hierarchical Markov Modeling Approach for the Segmentation and Tracking of Deformable Shapes, Graphical Models and Image Processing, vol.60, issue.3, pp.173-195, 1998. ,
DOI : 10.1006/gmip.1998.0469
Stochastic Geometry for Image Analysis, 2011. ,
DOI : 10.1002/9781118601235
URL : https://hal.archives-ouvertes.fr/hal-00793677
Active Shape Models-Their Training and Application, Computer Vision and Image Understanding, vol.61, issue.1, pp.38-59, 1994. ,
DOI : 10.1006/cviu.1995.1004
URL : https://www.escholar.manchester.ac.uk/api/datastream?publicationPid=uk-ac-man-scw:1d1862&datastreamId=POST-PEER-REVIEW-PUBLISHERS.PDF
Boundary finding with parametrically deformable models, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.14, issue.11, pp.1061-1075, 1992. ,
DOI : 10.1109/34.166621
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.9.835
Snakuscules, IEEE Transactions on Image Processing, vol.17, issue.4, pp.585-593, 2008. ,
DOI : 10.1109/TIP.2007.914742
Multiple objects detection in biological images using a marked point process framework, Methods, vol.115, pp.2-8, 2016. ,
DOI : 10.1016/j.ymeth.2016.09.009
URL : https://hal.archives-ouvertes.fr/hal-01383165
A unified approach for optimization of Snakuscules and Ovuscules, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.681-684, 2012. ,
DOI : 10.1109/ICASSP.2012.6287975
A regularized contrast statistic for object boundary estimation-implementation and statistical evaluation, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.16, issue.6, pp.561-570, 1994. ,
DOI : 10.1109/34.295901
A Wavelet Tour of Signal Processing (third edition : The Sparse Way), 2008. ,
Astronomical Image and Data Analysis, 2002. ,
DOI : 10.1007/978-3-540-33025-7
The Undecimated Wavelet Decomposition and its Reconstruction, IEEE Transactions on Image Processing, vol.16, issue.2, pp.297-309, 2007. ,
DOI : 10.1109/TIP.2006.887733
URL : https://hal.archives-ouvertes.fr/hal-00080092