20.4.2 Extraction and Analysis of Cells

Chapter Contents (Back)
Cells. Cell Extraction. Cell Segmentation. See also Extraction and Analysis of Neurons. See also Tracking Cells, Deformations, Motion, Real-Time Analysis.

Ledley, R.S.,
Analysis of Cells,
TC(21), No. 7, July 1972, pp. 740-752. BibRef 7207

Patrick, E.A.[Edward A.], Altman, J.[Joseph], Wild, R.[Richard],
Computer output display of cells and cell features,
PR(4), No. 2, May 1972, pp. 211-226.
WWW Link. 0309
BibRef

Young, I.T., and Paskowitz, I.L.,
Localization of cellular structures,
BiomedEng(22), No. 1, 1975, pp. 35-40. BibRef 7500

Carayannopoulos, G.L., Patrick, E.A.,
An algorithm for segmentation of metaphase spreads,
PR(8), No. 3, July 1976, pp. 151-161.
WWW Link. 0309
BibRef

Tajima, J.[Johji],
Automatic classification of micro-organisms by shape and color, in water quality control: A preliminary study,
PR(14), No. 1-6, 1981, pp. 211-217.
WWW Link. 0309
BibRef

Betz, J.W., Sengbusch, G.V., Ärtel, W.H.,
Low resolution slit-scan pattern recognition applying one-dimensional multiparameter analysis,
PR(13), No. 1, 1981, pp. 89-93.
WWW Link. 0309
rapid pre-screening of gynecological cell samples. BibRef

Sherman, A.B.[Andrew B.], Koss, L.G.[Leopold G.], Abbott, M.C.[Mark C.], Liao, M.W.[Mary W.],
A method of boundary determination in digital images of urothelial cells,
PR(13), No. 4, 1981, pp. 285-291.
WWW Link. 0309
BibRef

Meyer, F.,
Automatic Screening of Cytological Specimens,
CVGIP(35), No. 3, 1987, pp. 356-369.
WWW Link. Morphology. Application of morphology technique. TopHat filter. BibRef 8700

Lester, J.M.[James M.], Brenner, J.F.[John F.], Selles, W.D.[William D.],
Local transforms for biomedical image analysis,
CGIP(13), No. 1, May 1980, pp. 17-30.
WWW Link. 0501
BibRef

Zimmer, H.G.[Hans-Georg], Kronberg, H.[Harald], Bernstein, R.[Reinhard], Neuhoff, V.[Volker],
Improvements in microphotometry by digital signal processing,
PR(13), No. 1, 1981, pp. 79-82.
WWW Link. 0309
BibRef

Rüter, A., Harms, H., Aus, H.M.,
Standardized color measurement in automated cytophotometry with the light micrscope,
PR(13), No. 4, 1981, pp. 315-323.
WWW Link. 0309
BibRef

Harms, H., Rüter, A., Aus, H.M.,
A microprocessor-controlled axiomat microscope for acquisition of cell images,
PR(13), No. 4, 1981, pp. 325-329.
WWW Link. 0309
BibRef

Preston, Jr., K.[Kendall],
Tissue section analysis: Feature selection and image processing,
PR(13), No. 1, 1981, pp. 17-36.
WWW Link. 0309
BibRef

Preston, Jr., K.[Kendall],
Digital picture analysis in cytology,
DPA76(209-294).
Springer DOI BibRef 7600

White, B.S.[Benjamin S.], Castleman, K.R.[Kenneth R.],
Estimating cell populations,
PR(13), No. 5, 1981, pp. 365-370.
WWW Link. 0309
BibRef

Jordan, M.M., Perkins, W.J.,
Use of Models in Studying Macrophage Cell Images and the Underlying Biological Processes,
IVC(5), No. 2, May 1987, pp. 139-144.
WWW Link. BibRef 8705

Murray, C.[Carl], O'Malley, M.[Mark],
Segmentation of plant cell pictures,
IVC(11), No. 3, April 1993, pp. 155-162.
WWW Link. 0401
BibRef

Wu, K., Gauthier, D., and Levine, M.,
Live cell image segmentation,
BiomedEng(42), No. 1, 1995, pp. 1-12. BibRef 9500

Wu, H.S., Gil, J., Barba, J.,
Optimal Segmentation of Cell Images,
VISP(145), No. 1, February 1998, pp. 50-56. 9804
BibRef

Garrido, A., de la Blanca, N.P.[N. Pérez],
Applying deformable templates for cell image segmentation,
PR(33), No. 5, May 2000, pp. 821-832.
WWW Link. 0003
BibRef

Garrido Carrido, A.[Antonio], de la Blanca, N.P.[N. Pérez], and García-Silvente, M.,
A new methodology to automatically segment biomedical images,
CIAP97(II: 372-379).
Springer DOI 9709
BibRef
And:
Cell Image Segmentation,
SCIA97(xx-yy)
HTML Version. 9705
BibRef

Strijk, T.[Tycho], van Kreveld, M.[Marc],
Practical Extensions of Point Labeling in the Slider Model,
GeoInfo(6), No. 2, June 2002, pp. 181-197.
DOI Link Placing labels for a point feature. 0205
BibRef

Lessman, C.A.[Charles A.],
Use of Computer-Aided Screening for Detection of Motility Mutants in Zebrafish Embryos,
RealTimeImg(8), No. 3, June 2002, pp. 189-201.
DOI Link 0208
BibRef

Yang, F.[Faguo], Jiang, T.Z.[Tian-Zi],
Pixon-based image segmentation with Markov random fields,
IP(12), No. 12, December 2003, pp. 1552-1559.
IEEE DOI 0402
See also Pixon-Based Image Denoising with Markov Random Fields. BibRef

Jiang, T.Z.[Tian-Zi], Yang, F.[Faguo],
An evolutionary tabu search for cell image segmentation,
SMC-B(32), No. 5, October 2002, pp. 675-678.
IEEE Top Reference. 0210
BibRef

Lin, L.[Lei], Zhu, L.T.[Li-Tao], Yang, F.[Faguo], Jiang, T.Z.[Tian-Zi],
A Novel Pixon-Representation for Image Segmentation Based on Markov Random Field,
IVC(26), No. 11, 1 November 2008, pp. 1507-1514.
WWW Link. 0804
Image segmentation; Pixon-representation; Markov random field; Region labeling See also Pixon-Based Image Denoising with Markov Random Fields. BibRef

Lin, L.[Lei], Garcia-Lorenzo, D.[Daniel], Li, C.[Chong], Jiang, T.Z.[Tian-Zi], Barillot, C.[Christian],
Adaptive Pixon Represented Segmentation (APRS) for 3D MR Brain Images Based on Mean Shift and Markov Random Fields,
PRL(32), No. 7, 1 May 2011, pp. 1036-1043.
Elsevier DOI 1101
MRI segmentation; Markov random field; Adaptive mean shift; Pixon-representation; EM algorithm BibRef

Fiori, S.,
Information-theoretic learning for FAN network applied to eterokurtic component analysis,
VISP(149), No. 6, December 2002, pp. 347-354.
IEEE Top Reference. BibRef 0212
And: Erratum: VISP(150), No. 6, December 2003, pp. 370-370.
IEEE Abstract. 0304
BibRef

Fernandez-Gonzalez, R., Barcellos-Hoff, M.H., Ortiz-de-Solórzano, C.,
A Tool for the Quantitative Spatial Analysis of Complex Cellular Systems,
IP(14), No. 9, September 2005, pp. 1300-1313.
IEEE DOI 0508
See also Iterative Voting for Inference of Structural Saliency and Characterization of Subcellular Events. BibRef

Han, J.[Ju], Chang, H.[Hang], Yang, Q.[Qing], Barcellos-Hoff, M.H.[Mary Helen], Parvin, B.[Bahram],
3D Segmentation of Mammospheres for Localization Studies,
ISVC06(I: 518-527).
Springer DOI 0611
BibRef

Loke, R.E., du Buf, J.M.H., Bayer, M.M., Mann, D.G.,
Diatom classification in ecological applications,
PR(37), No. 6, June 2004, pp. 1283-1285.
WWW Link. 0405
BibRef

Trattner, S.[Sigal], Greenspan, H.[Hayit], Tepper, G., Abboud, S.,
Automatic Identification of Bacterial Types Using Statistical Imaging Methods,
MedImg(23), No. 7, July 2004, pp. 807-820.
IEEE Abstract. 0407
BibRef

Trattner, S.[Sigal], Feigin, M.[Micha], Greenspan, H.[Hayit], Sochen, N.A.[Nir A.],
Can Born Approximate the Unborn? A New Validity Criterion for the Born Approximation in Microscopic Imaging,
MMBIA07(1-8).
IEEE DOI 0710
BibRef

Yu, Z., Bajaj, C.,
Automatic Ultrastructure Segmentation of Reconstructed CryoEM Maps of Icosahedral Viruses,
IP(14), No. 9, September 2005, pp. 1324-1337.
IEEE DOI 0508
BibRef

Zhang, B., Fadili, J.M., Starck, J.L.,
Wavelets, Ridgelets, and Curvelets for Poisson Noise Removal,
IP(17), No. 7, July 2008, pp. 1093-1108.
IEEE DOI 0806
See also Undecimated Wavelet Decomposition and its Reconstruction, The. BibRef

Long, X.[Xi], Cleveland, W.L.[W. Louis], Yao, Y.L.[Y. Lawrence],
Effective automatic recognition of cultured cells in bright field images using fisher's linear discriminant preprocessing,
IVC(23), No. 13, 29 November 2005, pp. 1203-1213.
WWW Link. 0512
BibRef

Long, X.[Xi], Cleveland, W.L.[W. Louis], Yao, Y.L.[Y. Lawrence],
Multiclass cell detection in bright field images of cell mixtures with ECOC probability estimation,
IVC(26), No. 4, April 2008, pp. 578-591.
WWW Link. 0711
Cell detection; Error Correcting Output Coding (ECOC); Multiclass classification; Support vector machines BibRef

Nanni, L.[Loris],
Comparison among feature extraction methods for HIV-1 protease cleavage site prediction,
PR(39), No. 4, April 2006, pp. 711-713.
WWW Link. HIV-1 protease; Feature extraction; Fusion of classifiers 0604
BibRef

Lumini, A.[Alessandra], Nanni, L.[Loris],
Identifying splice-junction sequences by hierarchical multiclassifier,
PRL(27), No. 12, September 2006, pp. 1390-1396.
WWW Link. 0606
BibRef
Earlier: A2, A1:
Support Vector Machines for HIV-1 Protease Cleavage Site Prediction,
IbPRIA05(II:413).
Springer DOI 0509
Hierarchical multiclassifier; Machine learning; Splice-junction BibRef

Hodgson, S.[Simon], Harrison, R.F.[Robert F.], Cross, S.S.[Simon S.],
An automated pattern recognition system for the quantification of inflammatory cells in hepatitis-C-infected liver biopsies,
IVC(24), No. 9, September 2006, pp. 1025-1038.
WWW Link. 0608
Liver biopsy analysis; Bayesian decision theory; Gaussian mixture models; Sequential forward floating search BibRef

Cho, S.B.[Sung-Bae], Yoo, S.H.[Si-Ho],
Fuzzy Bayesian validation for cluster analysis of yeast cell-cycle data,
PR(39), No. 12, December 2006, pp. 2405-2414.
WWW Link. 0609
Fuzzy clustering; Fuzzy c-means algorithm; Fuzzy Bayesian validation method; Yeast cell-cycle data BibRef

Ranzato, M., Taylor, P.E., House, J.M., Flagan, R.C., Le Cun, Y.L., Perona, P.,
Automatic recognition of biological particles in microscopic images,
PRL(28), No. 1, 1 January 2007, pp. 31-39.
WWW Link. 0611
Biological particles; Feature; Non-linearity; Recognition; Cells; Pollen; Mixture of Gaussians (MoG) BibRef

Chan, Y.K.[Yung-Kuan], Liau, D.L.[Duan-Li], Chen, Y.F.[Yung-Fu], Wu, H.C.[Hsien-Chu], Chu, Y.P.[Yen-Ping],
A minute lossy method for 2D-gel images compression,
IJIST(16), No. 1, 2006, pp. 1-8.
DOI Link 0703
BibRef

Castanon, C.A.B.[Cesar A.B.], Fraga, J.S.[Jane S.], Fernandez, S.[Sandra], Gruber, A.[Arthur], da Fontoura Costa, L.[Luciano],
Biological shape characterization for automatic image recognition and diagnosis of protozoan parasites of the genus Eimeria,
PR(40), No. 7, July 2007, pp. 1899-1910.
WWW Link. 0704
Shape analysis; Feature extraction; Pattern classification; Image processing; Remote diagnosis; Real-time systems; Eimeria; Avian coccidiosis BibRef

Mosaliganti, K., Janoos, F., Sharp, R., Ridgway, R., Machiraju, R., Huang, K., Wenzel, P., deBruin, A., Leone, G., Saltz, J.,
Detection and Visualization of Surface-Pockets to Enable Phenotyping Studies,
MedImg(26), No. 9, September 2007, pp. 1283-1290.
IEEE DOI 0710
BibRef

Jafari-Khouzani, K., Soltanian-Zadeh, H., Fotouhi, F., Parrish, J.R., Finley, Jr., R.L.,
Automated Segmentation and Classification of High Throughput Yeast Assay Spots,
MedImg(26), No. 10, October 2007, pp. 1401-1411.
IEEE DOI 0711
BibRef

Lepore, N., Brun, C.C., Chou, Y.Y., Chiang, M.C., Dutton, R.A., Hayashi, K.M., Luders, E., Lopez, O.L., Aizenstein, H.J., Toga, A.W., Becker, J.T., Thompson, P.M.,
Generalized Tensor-Based Morphometry of HIV/AIDS Using Multivariate Statistics on Deformation Tensors,
MedImg(27), No. 1, January 2008, pp. 129-141.
IEEE DOI 0712
BibRef

Alcantara, D.A.[Dan A.], Carmichael, O.T.[Owen T.], Harcourt-Smith, W.[Will], Sterner, K.[Kirstin], Frost, S.R.[Stephen R.], Dutton, R.A.[Rebecca A.], Thompson, P.[Paul], Delson, E.[Eric], Amenta, N.[Nina],
Exploration of Shape Variation Using Localized Components Analysis,
PAMI(31), No. 8, August 2009, pp. 1510-1516.
IEEE DOI 0906
Shape variations of human brain regions. Preserves local variation. BibRef

Shah, S.K.[Shishir K.],
Automatic Cell Segmentation Using a Shape-Classification Model in Immunohistochemically Stained Cytological Images,
IEICE(E91-D), No. 7, July 2008, pp. 1955-1962.
DOI Link 0807
BibRef

Patterson, J., Stayton, P.S., Li, X.,
In Situ Characterization of the Degradation of PLGA Microspheres in Hyaluronic Acid Hydrogels by Optical Coherence Tomography,
MedImg(28), No. 1, January 2009, pp. 74-81.
IEEE DOI 0901
BibRef

Narasimha, R.[Rajesh], Ouyang, H.[Hua], Gray, A.[Alexander], McLaughlin, S.W.[Steven W.], Subramaniam, S.[Sriram],
Automatic joint classification and segmentation of whole cell 3D images,
PR(42), No. 6, June 2009, pp. 1067-1079.
Elsevier DOI 0902
Mitochondria; Texture features; Segmentation; Classification; Automated techniques; Machine learning; Cancer detection BibRef

Luengo-Oroz, M.A.[Miguel A.], Angulo, J.[Jesús],
Cyclic Mathematical Morphology in Polar-Logarithmic Representation,
IP(18), No. 5, May 2009, pp. 1090-1096.
IEEE DOI 0904
See also Hypercomplex Mathematical Morphology. BibRef

Luengo-Oroz, M.A.[Miguel A.], Angulo, J.[Jesús], Flandrin, G.[Georges], Klossa, J.[Jacques],
Mathematical Morphology in Polar-Logarithmic Coordinates. Application to Erythrocyte Shape Analysis,
IbPRIA05(II:199).
Springer DOI 0509
BibRef

Hodneland, E., Bukoreshtliev, N.V., Eichler, T.W., Tai, X.C.[Xue-Cheng], Gurke, S., Lundervold, A., Gerdes, H.H.,
A Unified Framework for Automated 3-D Segmentation of Surface-Stained Living Cells and a Comprehensive Segmentation Evaluation,
MedImg(28), No. 5, May 2009, pp. 720-738.
IEEE DOI 0905
BibRef

Kumar, S., Ong, S.H., Ranganath, S., Chew, F.T.,
Invariant texture classification for biomedical cell specimens via non-linear polar map filtering,
CVIU(114), No. 1, January 2010, pp. 44-53.
Elsevier DOI 1001
Biomedical cells; Contrast-invariant; Polar map; Rotation invariant; Scale-invariant; Texture classification; Support vector machine BibRef

Kumar, S., Ong, S.H., Ranganath, S., Chew, F.T., Ong, T.C.,
Segmentation of microscope cell images via adaptive eigenfilters,
ICIP04(I: 135-138).
IEEE DOI 0505
BibRef

Zanella, C., Campana, M., Rizzi, B., Melani, C., Sanguinetti, G.R.[Gonzalo R.], Bourgine, P., Mikula, K., Peyrieras, N., Sarti, A.,
Cells Segmentation From 3-D Confocal Images of Early Zebrafish Embryogenesis,
IP(19), No. 3, March 2010, pp. 770-781.
IEEE DOI 1003
BibRef

Smal, I., Grigoriev, I., Akhmanova, A., Niessen, W.J., Meijering, E.H.W.,
Microtubule Dynamics Analysis Using Kymographs and Variable-Rate Particle Filters,
IP(19), No. 7, July 2010, pp. 1861-1876.
IEEE DOI 1007
intracellular dynamics. BibRef

Wu, H.S., Fiel, M.I., Schiano, T.D., Ramer, M., Burstein, D., Gil, J.,
Segmentation of textured cell images based on frequency analysis,
IET-IPR(5), No. 2, April 2011, pp. 148-158.
DOI Link 1103
BibRef

Deneux, T., Faugeras, O.D., Takerkart, S., Masson, G.S., Vanzetta, I.,
A New Variational Method for Erythrocyte Velocity Estimation in Wide-Field Imaging In Vivo,
MedImg(30), No. 8, August 2011, pp. 1527-1545.
IEEE DOI 1108
BibRef

Gallego, M.Á.[M. Ángeles], Ibáñez, M.V.[M. Victoria], Simó, A.[Amelia],
Non-homogeneous temporal Boolean models to study endocytosis,
PR(45), No. 4, April 2012, pp. 1245-1254.
Elsevier DOI 1112
Temporal Boolean model; Endocytosis; Spatial non-homogeneity; Germ-grain model; Parameter estimation BibRef

Gu, Q.Y.[Qing-Yi], Takaki, T.[Takeshi], Ishii, I.[Idaku],
A Fast Multi-Object Extraction Algorithm Based on Cell-Based Connected Components Labeling,
IEICE(E95-D), No. 2, February 2012, pp. 636-645.
WWW Link. 1202
BibRef
Earlier:
2000-fps multi-object extraction based on cell-based labeling,
ICIP10(3761-3764).
IEEE DOI 1009
Label cells, scan image once for moment features. BibRef

Gu, Q.Y.[Qing-Yi], Takaki, T.[Takeshi], Ishii, I.[Idaku],
Fast FPGA-Based Multiobject Feature Extraction,
CirSysVideo(23), No. 1, January 2013, pp. 30-45.
IEEE DOI 1302
BibRef

Hagwood, C., Bernal, J., Halter, M., Elliott, J.,
Evaluation of Segmentation Algorithms on Cell Populations Using CDF Curves,
MedImg(31), No. 2, February 2012, pp. 380-390.
IEEE DOI 1202
BibRef

Glaß, M.[Markus], Möller, B.[Birgit], Zirkel, A.[Anne], Wächter, K.[Kristin], Hüttelmaier, S.[Stefan], Posch, S.[Stefan],
Cell migration analysis: Segmenting scratch assay images with level sets and support vector machines,
PR(45), No. 9, September 2012, pp. 3154-3165.
Elsevier DOI 1206
BibRef
Earlier:
Scratch Assay Analysis with Topology-Preserving Level Sets and Texture Measures,
IbPRIA11(100-108).
Springer DOI 1106
Scratch assay; Segmentation; Level sets; Texture; Topology; SVM BibRef

Ali, R.[Rehan], Gooding, M.[Mark], Szilágyi, T.[Tünde], Vojnovic, B.[Borivoj], Christlieb, M.[Martin], Brady, M.[Michael],
Automatic segmentation of adherent biological cell boundaries and nuclei from brightfield microscopy images,
MVA(23), No. 4, July 2012, pp. 607-621.
WWW Link. 1206
adherent eukaryotic cells. BibRef

Theriault, D.H.[Diane H.], Walker, M.L.[Matthew L.], Wong, J.Y.[Joyce Y.], Betke, M.[Margrit],
Cell morphology classification and clutter mitigation in phase-contrast microscopy images using machine learning,
MVA(23), No. 4, July 2012, pp. 659-673.
WWW Link. 1206
BibRef

Deepak, K.S.[K. Sai], Medathati, N.V.K.[N.V. Kartheek], Sivaswamy, J.[Jayanthi],
Detection and discrimination of disease-related abnormalities based on learning normal cases,
PR(45), No. 10, October 2012, pp. 3707-3716.
Elsevier DOI 1206
Abnormality detection; Computer-aided diagnosis; Learning normal; Medical images; Shape descriptor; Texture descriptor BibRef

Meijering, E.,
Cell Segmentation: 50 Years Down the Road,
SPMag(29), No. 5, 2012, pp. 140-145.
IEEE DOI 1209
Survey, Cell Segmentation. Life Sciences. Review of the results. BibRef

Randell, D.A.[David A.], Landini, G.[Gabriel], Galton, A.,
Discrete Mereotopology for Spatial Reasoning in Automated Histological Image Analysis,
PAMI(35), No. 3, March 2013, pp. 568-581.
IEEE DOI 1303
parts and topology to model space. BibRef

Nozaka, H.[Hiroyuki], Miura, T.[Tomisato], Zheng, Z.X.[Zhong-Xi],
Multi-Layer Virtual Slide Scanning System with Multi-Focus Image Fusion for Cytopathology and Image Diagnosis,
IEICE(E96-D), No. 4, April 2013, pp. 856-863.
WWW Link. 1304
BibRef

Asarnow, D.E., Singh, R.,
Segmenting the Etiological Agent of Schistosomiasis for High-Content Screening,
MedImg(32), No. 6, 2013, pp. 1007-1018.
IEEE DOI 1307
causative parasite; grayscale thinning; malaria BibRef

Ferro, L.[Luís], Marques, M.[Marco], Leal, P.[Pedro], Romão, S.[Susana], Cruz, T.[Tânia], Tomás, A.M.[Ana M.],
Automatic Spectral Unmixing of Leishmania Infection Macrophage Cell Cultures Image,
ICIAR13(621-629).
Springer DOI 1307
BibRef

Leal, P.[Pedro], Ferro, L.[Luís], Marques, M.[Marco], Romão, S.[Susana], Cruz, T.[Tânia], Tomá, A.M.[Ana M.], Castro, H.[Helena], Quelhas, P.[Pedro],
Automatic Assessment of Leishmania Infection Indexes on In Vitro Macrophage Cell Cultures,
ICIAR12(II: 432-439).
Springer DOI 1206
BibRef

Filipczuk, P.[Pawel], Krawczyk, B.[Bartosz], Wozniak, M.[Michal],
Classifier ensemble for an effective cytological image analysis,
PRL(34), No. 14, 2013, pp. 1748-1757.
Elsevier DOI 1308
Pattern recognition BibRef

White, A.G., Lees, B., Kao, H.L.[Huey-Ling], Cipriani, P.G., Munarriz, E., Paaby, A.B., Erickson, K., Guzman, S., Rattanakorn, K., Sontag, E., Geiger, D., Gunsalus, K.C., Piano, F.,
DevStaR: High-Throughput Quantification of C. elegans Developmental Stages,
MedImg(32), No. 10, 2013, pp. 1791-1803.
IEEE DOI 1311
biology computing BibRef

Badsha, S., Mokhtar, N., Arof, H., Lim, Y.A., Mubin, M., Ibrahim, Z.,
Automatic Cryptosporidium and Giardia viability detection in treated water,
JIVP(2013), No. 1, 2013, pp. 56.
DOI Link 1311
BibRef

Mualla, F., Scholl, S., Sommerfeldt, B., Maier, A., Hornegger, J.,
Automatic Cell Detection in Bright-Field Microscope Images Using SIFT, Random Forests, and Hierarchical Clustering,
MedImg(32), No. 12, 2013, pp. 2274-2286.
IEEE DOI 1312
Couplings BibRef

Hagwood, C., Bernal, J., Halter, M., Elliott, J., Brennan, T.,
Testing Equality of Cell Populations Based on Shape and Geodesic Distance,
MedImg(32), No. 12, 2013, pp. 2230-2237.
IEEE DOI 1312
Extraterrestrial measurements BibRef

Comic, L.[Lidija], De Floriani, L.[Leila], Iuricich, F.[Federico], Fugacci, U.[Ulderico],
Topological modifications and hierarchical representation of cell complexes in arbitrary dimensions,
CVIU(121), No. 1, 2014, pp. 2-12.
Elsevier DOI 1404
BibRef
Earlier: A1, A2, Only:
Topological Operators on Cell Complexes in Arbitrary Dimensions,
CTIC12(98-107).
Springer DOI 1206
Computational topology BibRef

Fachada, N.[Nuno], Figueiredo, M.A.T.[Mário A.T.], Lopes, V.V.[Vitor V.], Martins, R.C.[Rui C.], Rosa, A.C.[Agostinho C.],
Spectrometric differentiation of yeast strains using minimum volume increase and minimum direction change clustering criteria,
PRL(45), No. 1, 2014, pp. 55-61.
Elsevier DOI 1407
Clustering BibRef

Stain Normalization toolbox for histopathology image analysis,
OnlineOctober 2014.
WWW Link. Code, Medical Analysis. 1410
MATLAB implementation of well-known stain normalization algorithms. BibRef

Chang, H.[Hang], Wen, Q.[Quan], Parvin, B.[Bahram],
Coupled segmentation of nuclear and membrane-bound macromolecules through voting and multiphase level set,
PR(48), No. 3, 2015, pp. 882-893.
Elsevier DOI 1412
Segmentation of membrane-bound macromolecules BibRef

Ortiz-de-Solórzano, C., Muñoz-Barrutia, A., Meijering, E., Kozubek, M.,
Toward a Morphodynamic Model of the Cell: Signal processing for cell modeling,
SPMag(32), No. 1, January 2015, pp. 20-29.
IEEE DOI 1502
biomechanics BibRef

Dufour, A.C., Liu, T.Y.[Tzu-Yu], Ducroz, C., Tournemenne, R., Cummings, B., Thibeaux, R., Guillen, N., Hero, A.O., Olivo-Marin, J.C.,
Signal Processing Challenges in Quantitative 3-D Cell Morphology: More than meets the eye,
SPMag(32), No. 1, January 2015, pp. 30-40.
IEEE DOI 1502
biomechanics BibRef

Ziraldo, R., Link, N., Abrams, J., Ma, L.[Lan],
Towards automatic image analysis and assessment of the multicellular apoptosis process,
IET-IPR(9), No. 5, 2015, pp. 424-433.
DOI Link 1506
biology computing BibRef

Bise, R., Sato, Y.,
Cell Detection From Redundant Candidate Regions Under Nonoverlapping Constraints,
MedImg(34), No. 7, July 2015, pp. 1417-1427.
IEEE DOI 1507
Image segmentation BibRef

Saito, P.T.M.[Priscila T.M.], Suzuki, C.T.N.[Celso T.N.], Gomes, J.F.[Jancarlo F.], de Rezende, P.J.[Pedro J.], Falcão, A.X.[Alexandre X.],
Robust active learning for the diagnosis of parasites,
PR(48), No. 11, 2015, pp. 3572-3583.
Elsevier DOI 1506
Active learning BibRef

Wang, Z.Z.[Zhen-Zhou],
A semi-automatic method for robust and efficient identification of neighboring muscle cells,
PR(53), No. 1, 2016, pp. 300-312.
Elsevier DOI 1602
Segmentation BibRef

Su, H., Yin, Z., Huh, S., Kanade, T., Zhu, J.,
Interactive Cell Segmentation Based on Active and Semi-Supervised Learning,
MedImg(35), No. 3, March 2016, pp. 762-777.
IEEE DOI 1603
Complexity theory BibRef

Ahmad, O.[Ola], Collet, C.[Christophe],
Scale-space spatio-temporal random fields: Application to the detection of growing microbial patterns from surface roughness,
PR(58), No. 1, 2016, pp. 27-38.
Elsevier DOI 1606
Spatio-temporal modeling BibRef

Ferrari, A.[Alessandro], Lombardi, S.[Stefano], Signoroni, A.[Alberto],
Bacterial colony counting with Convolutional Neural Networks in Digital Microbiology Imaging,
PR(61), No. 1, 2017, pp. 629-640.
Elsevier DOI 1705
Convolutional Neural Networks BibRef

Svensson, C.M.[Carl-Magnus], Bondoc, K.G.[Karen Grace], Pohnert, G.[Georg], Figge, M.T.[Marc Thilo],
Segmentation of clusters by template rotation expectation maximization,
CVIU(154), No. 1, 2017, pp. 64-72.
Elsevier DOI 1612
Segmentation of clusters of nearly identical objects. BibRef

Urbano, L.F., Masson, P., VerMilyea, M., Kam, M.,
Automatic Tracking and Motility Analysis of Human Sperm in Time-Lapse Images,
MedImg(36), No. 3, March 2017, pp. 792-801.
IEEE DOI 1703
Algorithm design and analysis BibRef

Hao, R.Q.[Ru-Qian], Wang, X.Z.[Xiang-Zhou], Zhang, J.[Jing], Liu, J.X.[Juan-Xiu], Ni, G.M.[Guang-Ming], Du, X.[Xiao_Hui], Liu, L.[Lin], Liu, Y.[Yong],
Automatic detection of trichomonads based on an improved Kalman background reconstruction algorithm,
JOSA-A(34), No. 5, May 2017, pp. 752-759.
DOI Link 1705
General Image processing BibRef

Zheng, H.Y.[Hai-Yong], Wang, N.[Nan], Yu, Z.B.[Zhi-Bin], Gu, Z.R.[Zhao-Rui], Zheng, B.[Bing],
Robust and automatic cell detection and segmentation from microscopic images of non-setae phytoplankton species,
IET-IPR(11), No. 11, November 2017, pp. 1077-1085.
DOI Link 1711
BibRef


Shaker, F., Monadjemi, S.A., Alirezaie, J.,
Classification of human sperm heads using elliptic features and LDA,
IPRIA17(151-155)
IEEE DOI 1712
feature extraction, image classification, mathematical morphology, medical image processing, sperm morphology BibRef

Yurchenko, V., Lempitsky, V.,
Parsing Images of Overlapping Organisms with Deep Singling-Out Networks,
CVPR17(4752-4760)
IEEE DOI 1711
Grippers, Optimization, Organisms, Rendering (computer graphics), Shape, Training BibRef

Babaie, M., Kalra, S., Sriram, A., Mitcheltree, C., Zhu, S., Khatami, A., Rahnamayan, S., Tizhoosh, H.R.,
Classification and Retrieval of Digital Pathology Scans: A New Dataset,
Microscopy17(760-768)
IEEE DOI 1709
Algorithm design and analysis, Biomedical imaging, Feature extraction, Image resolution, Pathology, Testing, Training BibRef

Yi, J., Wu, P., Hoeppner, D.J., Metaxas, D.,
Fast Neural Cell Detection Using Light-Weight SSD Neural Network,
Microscopy17(860-864)
IEEE DOI 1709
Adaptation models, Biological neural networks, Computer architecture, Detectors, Feature extraction, Microprocessors, Training BibRef

Hernandez-Herrera, P.[Paul], Montoya, F.[Fernando], Rendón, J.M.[Juan M.], Darszon, A.[Alberto], Corkidi, G.[Gabriel],
Sperm Flagellum Center-Line Tracing in Fluorescence 3D+t Low SNR Stacks Using an Iterative Minimal Path Method,
ICIAR17(437-445).
Springer DOI 1706
BibRef

Akash, F.R.[Fazly Rabby], Sheikh, A.[Amin], Rahman, H.[Habibur], Ahmad, M.R.[Mohd Ridzuan],
Single cell mass measurement from deformation of nanofork,
IVPR17(1-4)
IEEE DOI 1704
Atmospheric measurements BibRef

Neghina, C., Zamfir, M., Ciuc, M., Sultana, A., Popescu, M.,
Automatic monitoring system for the detection and evaluation of the evolution of hemangiomas,
IPTA16(1-6)
IEEE DOI 1703
biomedical optical imaging BibRef

Alqahtani, S., Barczak, A., Reyes, N., Susnjak, T., Ganley, A.,
Automatic alignment and comparison on images of petri dishes containing cell colonies,
ICVNZ15(1-6)
IEEE DOI 1701
biology computing BibRef

Memariani, A., Nikou, C., Endres, B.T., Bassères, E., Garey, K.W., Kakadiaris, I.A.,
DeTEC: Detection of Touching Elongated Cells in SEM Images,
ISVC16(I: 288-297).
Springer DOI 1701
BibRef

Molnar, J.[Jozsef], Molnar, C.[Csaba], Horvath, P.[Peter],
An Object Splitting Model Using Higher-Order Active Contours for Single-Cell Segmentation,
ISVC16(I: 24-34).
Springer DOI 1701
BibRef

Sameki, M., Gurari, D., Betke, M.,
ICORD: Intelligent Collection of Redundant Data: A Dynamic System for Crowdsourcing Cell Segmentations Accurately and Efficiently,
Microscopy16(1380-1389)
IEEE DOI 1612
BibRef

Sadanandan, S.K.[Sajith Kecheril], Ranefall, P.[Petter], Wählby, C.[Carolina],
Feature Augmented Deep Neural Networks for Segmentation of Cells,
BioImage16(I: 231-243).
Springer DOI 1611
BibRef

Xue, Y.[Yao], Ray, N.[Nilanjan], Hugh, J.[Judith], Bigras, G.[Gilbert],
Cell Counting by Regression Using Convolutional Neural Network,
BioImage16(I: 274-290).
Springer DOI 1611
BibRef

Waithe, D.[Dominic], Hailstone, M.[Martin], Lalwani, M.K.[Mukesh Kumar], Parton, R.[Richard], Yang, L.[Lu], Patient, R.[Roger], Eggeling, C.[Christian], Davis, I.[Ilan],
3-D Density Kernel Estimation for Counting in Microscopy Image Volumes Using 3-D Image Filters and Random Decision Trees,
BioImage16(I: 244-255).
Springer DOI 1611
BibRef

Khan, A.[Aisha], Gould, S.[Stephen], Salzmann, M.[Mathieu],
Deep Convolutional Neural Networks for Human Embryonic Cell Counting,
BioImage16(I: 339-348).
Springer DOI 1611
BibRef

You, Z., Vandenberghe, M.E., Balbastre, Y., Souedet, N., Hantraye, P., Jan, C., Herard, A.S., Delzescaux, T.,
Automated cell individualization and counting in cerebral microscopic images,
ICIP16(3389-3393)
IEEE DOI 1610
Decision support systems BibRef

Gadermayr, M.[Michael], Cooper, S.S.[Sean Steven], Klinkhammer, B.M.[Barbara Mara], Boor, P.[Peter], Merhof, D.[Dorit],
A Quantitative Assessment of Image Normalization for Classifying Histopathological Tissue of the Kidney,
GCPR17(3-13).
Springer DOI 1711
BibRef

Gadermayr, M.[Michael], Strauch, M.[Martin], Klinkhammer, B.M.[Barbara Mara], Djudjaj, S.[Sonja], Boor, P.[Peter], Merhof, D.[Dorit],
Domain Adaptive Classification for Compensating Variability in Histopathological Whole Slide Images,
ICIAR16(616-622).
Springer DOI 1608
BibRef

Bílková, Z.[Zuzana], Soukup, J.[Jindrich], Kucera, V.[Václav],
Cell Segmentation Using Level Set Methods with a New Variance Term,
ICIAR16(183-190).
Springer DOI 1608
BibRef

Delgado-Font, W., González-Hidalgo, M., Herold-Garcia, S., Jaume-i-Capó, A., Mir, A.,
Erythrocytes Morphological Classification Through HMM for Sickle Cell Detection,
AMDO16(88-97).
Springer DOI 1608
BibRef

Mao, Y., Yin, Z., Schober, J.,
A deep convolutional neural network trained on representative samples for circulating tumor cell detection,
WACV16(1-6)
IEEE DOI 1606
Blood BibRef

Beheshti, M., Faichney, J., Gharipour, A.,
Bio-Cell Image Segmentation Using Bayes Graph-Cut Model,
DICTA15(1-5)
IEEE DOI 1603
Bayes methods BibRef

Tareef, A., Song, Y., Lee, M.Z., Feng, D.D., Chen, M., Cai, W.,
Morphological Filtering and Hierarchical Deformation for Partially Overlapping Cell Segmentation,
DICTA15(1-7)
IEEE DOI 1603
cellular biophysics BibRef

Bayramoglu, N.[Neslihan], Kannala, J.H.[Ju-Ho], Akerfelt, M.[Malin], Kaakinen, M.[Mika], Eklund, L.[Lauri], Nees, M.[Matthias], Heikkila, J.[Janne],
A novel feature descriptor based on microscopy image statistics,
ICIP15(2695-2699)
IEEE DOI 1512
cell co-culture BibRef

Pang, F.Q.[Feng-Qian], Liu, Z.W.[Zhi-Wen], Li, H.[Heng], Shi, Y.G.[Yong-Gang],
The measurement of cell viability based on temporal bag of words for image sequences,
ICIP15(4185-4189)
IEEE DOI 1512
Cell Deformation BibRef

Andreini, P.[Paolo], Bonechi, S.[Simone], Bianchini, M.[Monica], Mecocci, A.[Alessandro], Di Massa, V.[Vincenzo],
Automatic Image Analysis and Classification for Urinary Bacteria Infection Screening,
CIAP15(I:635-646).
Springer DOI 1511
BibRef

Medina-Rodríguez, R.[Rosario], Guzmán-Masías, L.[Luis], Alatrista-Salas, H.[Hugo], Beltrán-Castañón, C.[Cesar],
Sperm Cells Segmentation in Micrographic Images Through Lambertian Reflectance Model,
CAIP15(II:664-674).
Springer DOI 1511
BibRef

Mevenkamp, N.[Niklas], Berkels, B.[Benjamin],
Unsupervised and Accurate Extraction of Primitive Unit Cells from Crystal Images,
GCPR15(105-116).
Springer DOI 1511
BibRef

Khan, A.[Aisha], Gould, S.[Stephen], Salzmann, M.[Mathieu],
Detecting Abnormal Cell Division Patterns in Early Stage Human Embryo Development,
MLMI15(161-169).
Springer DOI 1511
BibRef
Earlier:
A Linear Chain Markov Model for Detection and Localization of Cells in Early Stage Embryo Development,
WACV15(526-533)
IEEE DOI 1503
Computational modeling BibRef

Cicconet, M., Gunsalus, K., Geiger, D., Werman, M.,
Shape statistics for cell division detection in time-lapse videos of early mouse embryo,
ICIP14(3622-3625)
IEEE DOI 1502
Dynamic programming BibRef

Boukari, F.[Fatima], Makrogiannis, S.[Sokratis],
Spatio-temporal Level-Set Based Cell Segmentation in Time-Lapse Image Sequences,
ISVC14(II: 41-50).
Springer DOI 1501
BibRef

Kang, M.S.[Mi-Sun], Kim, H.R.[Hye-Ryun], Kim, M.H.[Myoung-Hee],
Cell Classification in 3D Phase-Contrast Microscopy Images via Self-Organizing Maps,
ISVC14(II: 652-661).
Springer DOI 1501
BibRef

Moller, B.[Birgit], Piltz, E.[Elisabeth], Bley, N.[Nadine],
Quantification of Actin Structures Using Unsupervised Pattern Analysis Techniques,
ICPR14(3251-3256)
IEEE DOI 1412
Feature extraction BibRef

Yang, C.[Cong], Li, C.[Chen], Tiebe, O.[Oliver], Shirahama, K.[Kimiaki], Grzegorzek, M.[Marcin],
Shape-Based Classification of Environmental Microorganisms,
ICPR14(3374-3379)
IEEE DOI 1412
Feature extraction BibRef

Mercan, E.[Ezgi], Aksoy, S.[Selim], Shapiro, L.G.[Linda G.], Weaver, D.L.[Donald L.], Brunye, T.[Tad], Elmore, J.G.[Joann G.],
Localization of Diagnostically Relevant Regions of Interest in Whole Slide Images,
ICPR14(1179-1184)
IEEE DOI 1412
Accuracy BibRef

Molder, A.[Anna], Czanner, S.[Silvester], Costen, N.[Nicholas], Hartshorne, G.[Geraldine],
Automatic Detection of Embryo Location in Medical Imaging Using Trigonometric Rotation for Noise Reduction,
ICPR14(3239-3244)
IEEE DOI 1412
Accuracy; Biomedical imaging; Embryo; Image edge detection; Manuals; Shape BibRef

Akram, S.U.[Saad Ullah], Kannala, J.H.[Ju-Ho], Kaakinen, M.[Mika], Eklund, L.[Lauri], Heikkilä, J.[Janne],
Segmentation of Cells from Spinning Disk Confocal Images Using a Multi-stage Approach,
ACCV14(III: 300-314).
Springer DOI 1504
BibRef

Bayramoglu, N.[Neslihan], Kaakinen, M.[Mika], Eklund, L.[Lauri], Akerfelt, M.[Malin], Nees, M.[Matthias], Kannala, J.H.[Ju-Ho], Heikkila, J.[Janne],
Detection of Tumor Cell Spheroids from Co-cultures Using Phase Contrast Images and Machine Learning Approach,
ICPR14(3345-3350)
IEEE DOI 1412
Feature extraction BibRef

Singh, N.[Nikhil], Couture, H.D.[Heather D.], Marron, J.S., Perou, C.[Charles], Niethammer, M.[Marc],
Topological Descriptors of Histology Images,
MLMI14(231-239).
Springer DOI 1410
BibRef

Chen, T.[Ting], Chefd'hotel, C.[Christophe],
Deep Learning Based Automatic Immune Cell Detection for Immunohistochemistry Images,
MLMI14(17-24).
Springer DOI 1410
BibRef

Chen, K.C.[Kuan-Chieh], Qiu, M.[Minhua], Kovacevic, J.[Jelena], Yang, G.[Ge],
Computational Image Modeling for Characterization and Analysis of Intracellular Cargo Transport,
CompIMAGE14(292-303).
Springer DOI 1407
BibRef

Ng, S.K.[Shu-Kay], Lam, A.K.,
Automatic Segmentation of Molecular Pathology Images Using a Robust Mixture Model with Markov Random Fields,
DICTA13(1-8)
IEEE DOI 1402
Markov processes BibRef

del Bue, A., Zanacchi, F.C., Diaspro, A.,
Super-Resolution 3D Reconstruction of Thick Biological Samples: A Computer Vision Perspective,
AccBio13(178-183)
IEEE DOI 1403
very detailed 3D descriptions of cells. Use structure of cell and distortions of light. BibRef

Hosseini, M., Sowmya, A., Vallotton, P., Bednarz, T.,
High Precision Localization of Bacterium and Scientific Visualization,
AccBio13(210-213)
IEEE DOI 1403
biology computing BibRef

Li, C.[Chen], Shirahama, K.[Kimiaki], Grzegorzek, M.[Marcin], Ma, F.[Fangshu], Zhou, B.[Beihai],
Classification of environmental microorganisms in microscopic images using shape features and support vector machines,
ICIP13(2435-2439)
IEEE DOI 1402
Environmental Microorganism Classification BibRef

Ducroz, C.[Christel], Olivo-Marin, J.C.[Jean-Christophe], Dufour, A.[Alexandre],
Automatic detection of 3D cell protrusions using spherical wavelets,
ICIP13(3499-3502)
IEEE DOI 1402
3D microscopy BibRef

Grau, I.[Isel], Nápoles, G.[Gonzalo], García, M.M.[María M.],
Predicting HIV-1 Protease and Reverse Transcriptase Drug Resistance Using Fuzzy Cognitive Maps,
CIARP13(II:190-197).
Springer DOI 1311
BibRef

Nápoles, G.[Gonzalo], Bello, R.[Rafael], Vanhoof, K.[Koen],
Learning Stability Features on Sigmoid Fuzzy Cognitive Maps through a Swarm Intelligence Approach,
CIARP13(I:270-277).
Springer DOI 1311
BibRef

Thibault, G.[Guillaume], Iljin, K.[Kristiina], Arthur, C.[Christopher], Shafran, I.[Izhak], Gray, J.[Joe],
Adaptive H-Extrema for Automatic Immunogold Particle Detection,
CIARP13(II:238-245).
Springer DOI 1311
BibRef

Torres-Boza, D.[Diana], Ferrer, C.A.[Carlos A.],
Improvements to the HNR Estimation Based-on Generalized Variogram,
CIARP13(I:519-526).
Springer DOI 1311
BibRef

Gonzalez-Moreira, E.[Eduardo], Torres-Boza, D.[Diana], Ferrer, C.A.[Carlos A.], Ruiz, Y.[Yusely],
Improving Dysarthria Classification by Pattern Recognition Techniques Based on a Bionic Model,
CIARP13(II:246-253).
Springer DOI 1311
BibRef

Štepka, K.[Karel],
Automated Cell Counting in Bürker Chamber,
SCIA13(236-245).
Springer DOI 1311
BibRef

Alioscha-Perez, M.[Mitchel], Willaert, R.[Ronnie], Tournu, H.[Helene], van Dijck, P.[Patrick], Sahli, H.[Hichem],
Oriented Polar Snakes for Phase Contrast Cell Images Segmentation,
CIARP13(II:25-32).
Springer DOI 1311
BibRef

Soukup, J.[Jindrich], Císar, P.[Petr], Šroubek, F.[Filip],
Segmentation of Time-Lapse Images with Focus on Microscopic Images of Cells,
CIAP13(II:71-80).
Springer DOI 1309
BibRef

Esménio, S.[Sofia], Figueiredo, J.[Joana], Seruca, R.[Raquel], Sanches, J.M.[J. Miguel],
E-Cadherin Radial Distribution Characterization for Mutation Detection Purposes,
IbPRIA13(173-180).
Springer DOI 1307
BibRef

Buyssens, P.[Pierre], El Moataz, A.[Abderrahim], Lézoray, O.[Olivier],
Multiscale Convolutional Neural Networks for Vision-Based Classification of Cells,
ACCV12(II:342-352).
Springer DOI 1304
BibRef

de Floriani, L.[Leila], Iuricich, F.[Federico],
Discrete Morse versus Watershed Decompositions of Tessellated Manifolds,
CIAP13(II:339-348).
Springer DOI 1309
BibRef

Comic, L.[Lidija], de Floriani, L.[Leila], Iuricich, F.[Federico],
Simplification Operators on a Dimension-Independent Graph-Based Representation of Morse Complexes,
ISMM13(13-24).
Springer DOI 1305
BibRef
And:
Multi-resolution Cell Complexes Based on Homology-Preserving Euler Operators,
DGCI13(323-334).
Springer DOI 1304
BibRef

Bel haj ali, W.[Wafa], Giampaglia, D.[Dario], Barlaud, M.[Michel], Piro, P.[Paolo], Nock, R.[Richard], Pourcher, T.[Thierry],
Classification of biological cells using bio-inspired descriptors,
ICPR12(3353-3357).
WWW Link. 1302
BibRef

Atupelage, C., Nagahashi, H., Yamaguchi, M., Abe, T., Hashiguchi, A., Sakamoto, M.,
Multifractal feature descriptor for grading Hepatocellular carcinoma,
ICPR12(129-132).
WWW Link. 1302
BibRef

Asarnow, D.[Daniel], Singh, R.[Rahul],
Segmentation of Parasites for High-content Screening Using Phase Congruency and Grayscale Morphology,
ISVC12(I: 51-60).
Springer DOI 1209
BibRef

García-Olalla, O.[Oscar], Alegre, E.[Enrique], Fernández-Robles, L.[Laura], García-Ordás, M.T.[María Teresa],
Vitality Assessment of Boar Sperm Using an Adaptive LBP Based on Oriented Deviation,
CVLBP12(I:61-72).
Springer DOI 1304
BibRef

González-Castro, V.[Víctor], Alegre, E.[Enrique], García-Olalla, O.[Oscar], García-Ordás, D.[Diego], García-Ordás, M.T.[María Teresa], Fernández-Robles, L.[Laura],
Curvelet-Based Texture Description to Classify Intact and Damaged Boar Spermatozoa,
ICIAR12(II: 448-455).
Springer DOI 1206
BibRef

Ao, J.Q.[Jing-Qi], Mitra, S.[Sunanda], Long, R.[Rodney], Nutter, B.[Brian], Antani, S.[Sameer],
A hybrid watershed method for cell image segmentation,
Southwest12(29-32).
IEEE DOI 1205
BibRef

Rosado-Toro, J.A.[Jose A.], Rodriguez, J.J.[Jeffrey J.],
Cell splitting using dynamic programming,
Southwest12(33-36).
IEEE DOI 1205
BibRef

Pan, K.Y.[Kang-Yu], Kokaram, A.[Anil], Gilmore, K.[Kerry], Higgins, M.J.[Michael J.], Kapsa, R.[Robert], Wallace, G.G.[Gordon G.],
Cellsnake: A new active contour technique for cell/fibre segmentation,
ICIP11(2153-2156).
IEEE DOI 1201
BibRef

Zhou, Z.[Zheng], Zhao, Y.L.[Yuan-Ling], Fan, D.K.[Deng-Ke],
Research on cyanobacteria blooms monitoring ability of HJ-1 CCD,
IASP11(546-549).
IEEE DOI 1112
BibRef

Das, D.[Devkumar], Ghosh, M.[Madhumala], Chakraborty, C.[Chandan], Maiti, A.K.[Ashok K.], Pal, M.[Mallika],
Probabilistic prediction of malaria using morphological and textural information,
ICIIP11(1-6).
IEEE DOI 1112
BibRef

Ghosh, M.[Madhumala], Das, D.[Devkumar], Chakraborty, C.[Chandan], Ray, A.K.[Ajoy K.],
Plasmodium vivax segmentation using modified fuzzy divergence,
ICIIP11(1-5).
IEEE DOI 1112
BibRef

Hu, N.[Na], Wang, Y.[Yan], Zhang, X.K.[Xi-Kun], Zhang, Y.[Yu], Feng, Y.M.[Yuan-Ming],
Quantitative stereological analysis of confocal laser scanning microscopic images of cells,
IASP11(332-335).
IEEE DOI 1112
BibRef

Sintorn, I.M.[Ida-Maria], Kylberg, G.[Gustaf],
Virus Recognition Based on Local Texture,
ICPR14(3227-3232)
IEEE DOI 1412
Image segmentation BibRef

Kylberg, G.[Gustaf], Uppström, M.[Mats], Sintorn, I.M.[Ida-Maria],
Virus Texture Analysis Using Local Binary Patterns and Radial Density Profiles,
CIARP11(573-580).
Springer DOI 1111
BibRef

Chakraborty, A.[Anirban], Liu, M.[Min], Mkrtchyan, K.[Katya], Reddy, G.V.[G. Venugopala], Roy-Chowdhury, A.[Amit],
Cell volume estimation from a sparse collection of noisy confocal image slices,
ICCVGIP10(183-189).
DOI Link 1111
BibRef

Jaeger, S.[Stefan], Palaniappan, K.[Kannappan], Casas-Delucchi, C.S.[Corella S.], Cardoso, M.C.[M. Cristina],
Classification of cell cycle phases in 3D confocal microscopy using PCNA and chromocenter features,
ICCVGIP10(412-418).
DOI Link 1111
BibRef

Moody-Davis, A.[Asher], Mennillo, L.[Laurent], Singh, R.[Rahul],
Region-Based Segmentation of Parasites for High-throughput Screening,
ISVC11(I: 43-53).
Springer DOI 1109
BibRef

Nguyen, N.H.[Nhat H.], Norris, E.[Eric], Clemens, M.G.[Mark G.], Shin, M.C.[Min C.],
Rapidly Adaptive Cell Detection Using Transfer Learning with a Global Parameter,
MLMI11(209-216).
Springer DOI 1109
BibRef

Elhayek, A.[Ahmed], Welk, M.[Martin], Weickert, J.[Joachim],
Simultaneous Interpolation and Deconvolution Model for the 3-D Reconstruction of Cell Images,
DAGM11(316-325).
Springer DOI 1109
BibRef

Quelhas, P.[Pedro], Nieuwland, J.[Jeroen], Dewitte, W.[Walter], Mendonça, A.M.[Ana Maria], Murray, J.[Jim], Campilho, A.[Aurélio],
Arabidopsis Thaliana Automatic Cell File Detection and Cell Length Estimation,
ICIAR11(II: 1-11).
Springer DOI 1106
BibRef

Esmaeilsabzali, H.[Hadi], Sakaki, K.[Kelly], Dechev, N.[Nikolai], Burke, R.D.[Robert D.], Park, E.J.[Edward J.],
A Machine Vision Framework for Automated Localization of Microinjection Sites on Low-Contrast Single Adherent Cells,
ICIAR11(II: 12-20).
Springer DOI 1106
BibRef

Vallotton, P.[Pascal], Mililli, L.[Lisa], Turnbull, L.[Lynne], Whitchurch, C.[Cynthia],
Segmentation of Dense 2D Bacilli Populations,
DICTA10(82-86).
IEEE DOI 1012
BibRef

Zou, L.H.[Li-Hui], Chen, J.[Jie], Zhang, J.[Juan], Garcia, N.[Narciso],
Malaria Cell Counting Diagnosis within Large Field of View,
DICTA10(172-177).
IEEE DOI 1012
BibRef

Basile, T.M.A.[Teresa M.A.], Esposito, F.[Floriana], Caponetti, L.[Laura],
A Multi-relational Learning Approach for Knowledge Extraction in in Vitro Fertilization Domain,
ISVC10(I: 571-581).
Springer DOI 1011
BibRef

Peskin, A.P.[Adele P.], Dima, A.A.[Alden A.], Chalfoun, J.[Joe], Elliott, J.T.[John T.],
Predicting Segmentation Accuracy for Biological Cell Images,
ISVC10(I: 549-560).
Springer DOI 1011
BibRef

Liu, M.[Min], Roy-Chowdhury, A.K.[Amit K.], Yoder, M.[Melissa], De Ley, P.[Paul],
Multi-focal nematode image classification using the 3D X-Ray Transform,
ICIP10(269-272).
IEEE DOI 1009
BibRef

Xiong, W.[Wei], Lim, J.H.[Joo Hwee], Ong, S.H., Liu, J.[Jiang], Jing, Y.[Yin], Tan, K.S.W.[Kevin S.W.],
Automatic cell classification and population estimation in blastocystis autophagy images,
ICIP10(4349-4352).
IEEE DOI 1009
BibRef

Xiong, W.[Wei], Wang, Y.B.[Yan-Bo], Ong, S.H., Lim, J.H.[Joo Hwee], Jiang, L.J.[Li-Jun],
Learning cell geometry models for cell image simulation: An unbiased approach,
ICIP10(1897-1900).
IEEE DOI 1009
BibRef

Uyar, A.[Asli], Bener, A.[Ayse], Ciray, H.N.[H. Nadir], Bahceci, M.[Mustafa],
Bayesian Networks for Predicting IVF Blastocyst Development,
ICPR10(2772-2775).
IEEE DOI 1008
BibRef

Can, A.[Ali], Bello, M.O.[Musodiq O.], Gerdes, M.J.[Michael J.],
Quantification of Subcellular Molecules in Tissue Microarray,
ICPR10(2548-2551).
IEEE DOI 1008
BibRef

Jaeger, S.[Stefan], Palaniappan, K.[Kannappan], Casas-Delucchi, C.S.[Corella S.], Cardoso, M.C.[M. Cristina],
Dual Channel Colocalization for Cell Cycle Analysis Using 3D Confocal Microscopy,
ICPR10(2580-2583).
IEEE DOI 1008
BibRef

Xiong, W.[Wei], Ong, S.H.[Sim-Heng], Lim, J.H.[Joo-Hwee],
A Recursive and Model-Constrained Region Splitting Algorithm for Cell Clump Decomposition,
ICPR10(4416-4419).
IEEE DOI 1008
BibRef

Moller, B.[Birgit], Stohr, N.[Nadine], Huettelmaier, S.[Stefan], Posch, S.[Stefan],
Cascaded Segmentation of Grained Cell Tissue with Active Contour Models,
ICPR10(1481-1484).
IEEE DOI 1008
BibRef

Becattini, G.[Gabriele], Mattos, L.S.[Leonardo S.], Caldwell, D.G.[Darwin G.],
Anisotropic Contour Completion for Cell Microinjection Targeting,
ICPR10(2262-2265).
IEEE DOI 1008
BibRef

Kennel, P., Subsol, G., Gueroult, M., Guéroult, M., Borianne, P.,
Automatic identification of cell files in light microscopic images of conifer wood,
IPTA10(98-103).
IEEE DOI 1007
BibRef

Houben, S.[Sebastian], Kirchgeßner, N.[Norbert], Merkel, R.[Rudolf],
Estimating Force Fields of Living Cells: Comparison of Several Regularization Schemes Combined with Automatic Parameter Choice,
DAGM10(71-80).
Springer DOI 1009
BibRef

White, A.G.[Amelia G.], Cipriani, P.G.[Patricia G.], Kao, H.L.[Huey-Ling], Lees, B.[Brandon], Geiger, D.[Davi], Sontag, E.[Eduardo], Gunsalus, K.C.[Kristin C.], Piano, F.[Fabio],
Rapid and accurate developmental stage recognition of C. elegans from high-throughput image data,
CVPR10(3089-3096).
IEEE DOI 1006
BibRef

Liu, M.[Min], Roy-Chowdhury, A.K.[Amit K.],
Multilinear feature extraction and classification of multi-focal images, with applications in nematode taxonomy,
CVPR10(2823-2830).
IEEE DOI 1006
BibRef

Roula, M.A.,
Cellular proteomic characterization using Active Shape and Non-Gaussinan stochastic texture models,
ICIP09(3389-3392).
IEEE DOI 0911
BibRef

Gelas, A., Mosaliganti, K., Gouaillard, A., Souhait, L., Noche, R., Obholzer, N., Megason, S.G.,
Variational level-set with gaussian shape model for cell segmentation,
ICIP09(1089-1092).
IEEE DOI 0911
BibRef

Cheng, E.D.[Eric Dahai], Challa, S.[Subhash], Chakravorty, R.[Rajib],
Microscopic Cell Segmentation and Dead Cell Detection Based on CFSE and PI Images by Using Distance and Watershed Transforms,
DICTA09(32-39).
IEEE DOI 0912
BibRef

Rizvandi, N.B., Pizurica, A., Philips, W., Ochoa, D.,
Edge Linking Based Method to Detect and Separate Individual C. Elegans Worms in Culture,
DICTA08(65-70).
IEEE DOI 0812
BibRef

Ho, Q.R.[Qi-Rong], Yu, W.M.[Wei-Miao], Lee, H.K.[Hwee Kuan],
Region Graph Spectra as Geometric Global Image Features,
ISVC09(I: 253-264).
Springer DOI 0911
Cell assays. BibRef

Giusti, A.[Alessandro], Corani, G.[Giorgio], Gambardella, L.M.[Luca Maria], Magli, C.[Cristina], Gianaroli, L.[Luca],
Lighting-Aware Segmentation of Microscopy Images for In Vitro Fertilization,
ISVC09(I: 576-585).
Springer DOI 0911
BibRef

Peskin, A.P.[Adele P.], Kafadar, K.[Karen], Dima, A.[Alden],
A Quality Pre-processor for Biological Cell Images,
ISVC09(II: 1051-1062).
Springer DOI 0911
BibRef

Li, N.[Na], Li, X.P.[Xue-Ping],
Mechanism of Enzyme Reaction Based on Dynamics Molecular,
CISP09(1-3).
IEEE DOI 0910
BibRef

Xia, R.H.[Rui-Hua], Wang, P.[Ping], Lai, Q.W.[Qing-Wu],
One kind of macrophages images edge detection method,
IASP10(280-283).
IEEE DOI 1004
BibRef

Xia, R.H.[Rui-Hua], Wang, P.[Ping], Chen, R.L.[Rong-Ling], Guo, F.[Fei],
One Kind of Macrophages Images Segmentation and Labeling Method,
CISP09(1-5).
IEEE DOI 0910
BibRef

Zhu, W.H.[Wei-Hua], Zhao, Z.M.[Zhi-Min], Guo, X.[Xin], Hong, X.Q.[Xiao-Qin],
Study on Hyperlipidemia Serum Ultraviolet Visible Absorption Spectra Based on Wavelet Transform,
CISP09(1-5).
IEEE DOI 0910
BibRef

Hirimutugoda, Y.M., Wijayarathna, G.,
Artificial Intelligence-Based Approach for Determination of Haematologic Diseases,
CISP09(1-5).
IEEE DOI 0910
BibRef

Shi, J.[Jing], Bao, Y.L.[Yong-Li], Yu, C.L.[Chun-Lei], Li, Y.X.[Yu-Xin], Yin, Y.[Yuhe],
A Novel Image Analyzer of SRID Assay for the Quantification of Hemagglutinin in Influenza Vaccine,
CISP09(1-4).
IEEE DOI 0910
BibRef

Xue, H.[Heru], Li, H.[Hai], Wang, Y.D.[Yue-Dong], Zhao, T.[Ting],
The Segmentation of the Color Milk Somatic Cells Images,
CISP09(1-4).
IEEE DOI 0910
BibRef

Sankaran, P., Asari, V.K.,
Adaptive Thresholding Based Cell Segmentation for Cell-Destruction Activity Verification,
AIPR06(14-14).
IEEE DOI 0610
BibRef

Wirjadi, O.[Oliver], Kim, Y.J.[Yoo-Jin], Breuel, T.[Thomas],
Spatial Statistics for Tumor Cell Counting and Classification,
DAGM09(492-501).
Springer DOI 0909
BibRef

Xia, R.H.[Rui-Hua], Wang, P.[Ping], Zhang, W.[Wu], Xiong, Q.[Qi],
A novel overlapping mice macrophages images segmentation method,
IASP09(40-43).
IEEE DOI 0904
BibRef

Martinez, G.[Geovanni], Frerichs, J.G.[Jan-Gerd], Rudolph, G.[Guido], Scheper, T.[Thomas],
Three-dimensional cell counting for in-situ microscopy,
ICPR08(1-4).
IEEE DOI 0812
BibRef

Miyamoto, T.[Takanobu], Fujita, Y.[Yusuke], Uchimura, S.J.[Shun-Ji], Hamamoto, Y.[Yoshihiko], Iizuka, N.[Norio], Oka, M.[Masaaki],
Visualization of transitions of developing of hepatitis C virus-associated hepatocellular carcinoma,
ICPR08(1-4).
IEEE DOI 0812
BibRef

Ruusuvuori, P.[Pekka], Seppala, J.[Jenni], Erkkila, T.[Timo], Lehmussola, A.[Antti], Puhakka, J.A.[Jaakko A.], Yli-Harja, O.[Olli],
Efficient automated method for image-based classification of microbial cells,
ICPR08(1-4).
IEEE DOI 0812
BibRef

Kuijper, A.[Arjan], Heise, B.[Bettina],
An automatic cell segmentation method for differential interference contrast microscopy,
ICPR08(1-4).
IEEE DOI 0812
BibRef

Dufour, A., Meas-Yedid, V., Grassart, A., Olivo-Marin, J.C.,
Automated quantification of cell endocytosis using active contours and wavelets,
ICPR08(1-4).
IEEE DOI 0812
BibRef

Syed, T.Q., Vigneron, V., Lelandais, S., Barlovatz-Meimon, G., Malo, M., Charriere-Bertrand, C., Montagne, C.,
Detection and Counting of 'in vivo' cells to predict cell migratory potential,
IPTA08(1-8).
IEEE DOI 0811
BibRef

Kovacs, D.[David], Brassart, E.[Eric], Drocourt, C.[Cyril],
Automatic detection of chemotaxis cells in angiogenesis process,
IPTA08(1-7).
IEEE DOI 0811
BibRef

Sánchez, L.[Lidia], González, V.[Víctor], Alegre, E.[Enrique], Alaiz, R.[Rocío],
Classification and Quantification Based on Image Analysis for Sperm Samples with Uncertain Damaged/Intact Cell Proportions,
ICIAR08(xx-yy).
Springer DOI 0806
BibRef

Tran, D.[Dat], Pham, T.[Tuan], Zhou, X.B.[Xiao-Bo],
Subspace Vector Quantization and Markov Modeling for Cell Phase Classification,
ICIAR08(xx-yy).
Springer DOI 0806
BibRef

Zhou, Z.[Zhi], Du, Y.Z.[Ying-Zi], Rodney, G.G.[George G.], Schneider, M.F.[Martin F.],
Ca2+ Sparks Detection and Classification using Gaussian-Mexican Hat Wavelet,
ICIP07(VI: 253-256).
IEEE DOI 0709
BibRef

Olding, B.P.[Benjamin P.], Wolfe, P.J.[Patrick J.],
Joint Localization and Parameter Estimation for Localized Calcium Release Events in Video Microscopy,
ICIP07(VI: 257-260).
IEEE DOI 0709
BibRef

Soda, P.[Paolo],
A Hybrid Approach Handling Imbalanced Datasets,
CIAP09(209-218).
Springer DOI 0909
BibRef

Tscherepanow, M.[Marko], Jensen, N.[Nickels], Kummert, F.[Franz],
Recognition of Unstained Live Drosophila Cells in Microscope Images,
IMVIP07(169-176).
IEEE DOI 0709
BibRef

Chang, H.[Hang], Parvin, B.[Bahram],
Segmentation of Three Dimensional Cell Culture Models from a Single Focal Plane,
ISVC06(II: 586-595).
Springer DOI 0611
BibRef

Bell, A.A., Kaftan, J.N., Aach, T., Meyer-Ebrecht, D., Bocking, A.,
High Dynamic Range Images as a Basis for Detection of Argyrophilic Nucleolar Organizer Regions Under Varying Stain Intensities,
ICIP06(2541-2544).
IEEE DOI 0610
BibRef

Kong, K.Y.[Koon Yin], Marcus, A.I., Hong, J.Y.[Jin Young], Giannakakou, P., Wang, M.D.,
Ceulular Imaging Data Analysis: Mircotubule Dynamics in Living Cell,
ICIP06(2545-2548).
IEEE DOI 0610
BibRef

Smereka, M.[Marcin], Glab, G.[Grzegorz],
Detection of Pathological Cells in Phase Contrast Cytological Images,
ACIVS06(821-832).
Springer DOI 0609
BibRef

Herzog, A.[Andreas], Niese, R.[Robert], Krell, G.[Gerald], Michaelis, B.[Bernd], Ovtscharoff, W.[Wladimir], Braun, K.[Katharina],
Detection of presynaptic terminals on dendritic spines in double labeling confocal images,
ICPR06(IV: 715-718).
IEEE DOI 0609
BibRef

Liu, J.S.[Jin-Shuo], van der Putten, P.[Peter], Hagen, F.[Ferry], Chen, X.[Xinmeng], Boekhout, T.[Teun],
Detecting Virulent Cells of Cryptococcus Neoformans Yeast: Clustering Experiments,
ICPR06(I: 1112-1115).
IEEE DOI 0609
BibRef

Huang, J.[Jing],
A New Kernel Based on Weighted Cross-Correlation Coefficient for SVMs and Its Application on Prediction of T-cell Epitopes,
ICPR06(II: 691-694).
IEEE DOI 0609
BibRef

Lerner, B.[Boaz], Malka, R.[Roy],
Learning Bayesian Networks for Cytogenetic Image Classification,
ICPR06(II: 772-775).
IEEE DOI 0609
BibRef

Gurevich, I., Kharazishvili, D., Murashov, D., Salvetti, O., Vorobjev, I.,
Technology for Automated Morphologic Analysis of Cytological Slides. Methods and Results,
ICPR06(IV: 711-714).
IEEE DOI 0609
BibRef

Nakauchi, S.[Shigeki],
Spectral Imaging Technique for Visualizing the Invisible Information,
SCIA05(55-64).
Springer DOI 0506
BibRef

Miyazawa, K.[Kanae], Kobayashi, K.I.[Ken-Ichi], Nakauchi, S.[Shigeki], Hiraishi, A.[Akira],
In Situ Detection and Identification of Microorganisms at Single Colony Resolution Using Spectral Imaging Technique,
SCIA05(419-428).
Springer DOI 0506
BibRef

Liu, Z.Q.[Zhen-Qiu], Chen, D.C.[De-Chang], Tian, J.J.[Jian-Jun],
Classification of Proteomic Data with Logistic Kernel Partial Least Squares Algorithm,
BioInfo05(III: 145-145).
IEEE DOI 0507
BibRef

Ropers, S.O., Bell, A.A., Wurfinger, T., Bocking, A., Meyer-Ebrecht, D.,
Automatic Scene Comparison and Matching in Multimodal Cytopathological Microscopic Images,
ICIP05(I: 1145-1148).
IEEE DOI 0512
BibRef

Kachouie, N.N.[Nezamoddin N.], Lee, L.J.[Leo J.], Fieguth, P.W.[Paul W.],
A Probabilistic Living Cell Segmentation Model,
ICIP05(I: 1137-1140).
IEEE DOI 0512
BibRef

Kemkemer, R., Estrada, G.G., Kaufmann, D., Ulrich, D., Gruler, H.,
Feature Extraction of Non-Stained Melanocyte Cells,
ICIP05(III: 605-608).
IEEE DOI 0512
BibRef

Iles, P.J.W.[Peter J. W.], Clausi, D.A.[David A.], Puddister, S.M.[Shannon M.], Brodland, G.W.[G. Wayne],
Average Cell Orientation, Shape and Size Estimated from Tissue Images,
CRV05(378-385).
IEEE DOI 0505
BibRef

Iles, P.J.W., Clausi, D.A., Brodland, G.W.,
Estimation of average cell shape from digital images of cellular surfaces,
CRV04(273-278).
IEEE DOI 0408
BibRef

Jones, T.R.[Thouis R.], Carpenter, A.[Anne], Golland, P.[Polina],
Voronoi-Based Segmentation of Cells on Image Manifolds,
CVBIA05(535-543).
Springer DOI 0601
BibRef

Sánchez, L.[Lidia], Petkov, N.[Nicolai], Alegre, E.[Enrique],
Statistical Approach to Boar Semen Head Classification Based on Intracellular Intensity Distribution,
CAIP05(88).
Springer DOI 0509
BibRef

Perner, P., Perner, H., Janichen, S., Buhring, A.,
Recognition of airborne fungi spores in digital microscopic images,
ICPR04(III: 566-569).
IEEE DOI 0409
BibRef

Gadkari, M.S., Refai, H.H., Sluss, Jr., J., Broughan, T.A., Teague, T.K., Naukam, R.,
The detection of single hepatocytes within clusters in microscopic images,
Southwest04(192-195).
WWW Link. 0411
BibRef

Refai, H.H., Li, L.[Lun], Teague, T.K., Naukam, R.,
Automatic count of hepatocytes in microscopic images,
ICIP03(II: 1101-1104).
IEEE DOI 0312
BibRef

Bamford, P.,
Empirical comparison of cell segmentation algorithms using an annotated dataset,
ICIP03(II: 1073-1076).
IEEE DOI 0312
BibRef

Bergner, S., Pohle, R., Al-Zubi, S., Tönnies, K.D., Eitner, A., Neu, T.R.,
Segmenting Microorganisms in Multi-modal Volumetric Datasets Using a Modified Watershed Transform,
DAGM02(429 ff.).
Springer DOI 0303
BibRef

de Alarcon, P.A., Pascual-Montano, A.D., Gupta, A., Carazo, J.M.,
Modeling shape and topology of 3d images of biological specimens,
ICPR02(I: 79-82).
IEEE DOI 0211
BibRef

Dey, N., Boucher, A., Thonnat, M.,
Image formation model of a 3-d translucent object observed in light microscopy,
ICIP02(II: 469-472).
IEEE DOI 0210
BibRef

Boucher, A., Garbay, C.,
A Multiagent System to Segment Living Cells,
ICPR96(III: 558-562).
IEEE DOI 9608
(Laboratoire TIMC/IMAG, F) BibRef

Alvarez, T., Martin, Y., Perez, S., Santos, F., Tadeo, F., Gonzalez, S., Arribas, J., Vega, P.,
Classification of Microorganisms Using Image Processing Techniques,
ICIP01(I: 329-332).
IEEE DOI 0108
BibRef

Bhattacharya, U., Liebscher, V., Datta, A., Parui, S.K., Rodenacker, K., Chaudhuri, B.B.,
Shape Extraction of Volumetric Images of Filamentous Bacteria Using Topology Adaptive Self Organization,
ICPR00(Vol II: 291-294).
IEEE DOI 0009
BibRef

Forero-Vargas, M., Redondo, R., Cristobal, G.,
Diatom Screening and Classification by Shape Analysis,
VLBV03(58-65).
Springer DOI 0310
BibRef

Pech-Pacheco, J.L., Cristóbal, G., Chamorro-Martínez, J., Fernández-Valdivia, J.,
Diatom Autofocusing in Brightfield Microscopy: a Comparative Study,
ICPR00(Vol III: 314-317).
IEEE DOI 0009
BibRef

Alvarez-Borrego, J., Mouriño-Pérez, R.R., Cristóbal, G., Pech-Pacheco, J.L.,
Invariant Optical Color Correlation for Recognition of Vibrio Cholerae O1,
ICPR00(Vol II: 283-286).
IEEE DOI 0009
BibRef

Shang, C., Daly, C., McGrath, J., Barker, J.,
Analysis and Classification of Tissue Section Images Using Directional Fractal Dimension Features,
ICIP00(Vol I: 164-167).
IEEE DOI 0008
BibRef

du Buf, J.M.H., Bayer, M.M., Droop, S., Head, R., Juggins, S., Fischer, S., Bunke, H., Wilkinson, M., Roerdink, J., Pech-Pacheco, J.L., Cristobal, G., Shahbazkia, H., Ciobanu, A.,
Diatom identification: a double challenge called ADIAC,
CIAP99(734-739).
IEEE DOI 9909
BibRef

Anoraganingrum, D.,
Cell segmentation with median filter and mathematical morphology operation,
CIAP99(1043-1046).
IEEE DOI 9909
BibRef

Young, D., Gray, A.J., and Glasbey, C.A.,
Construction of Templates for Identifying Non-Transparent Cells in DIC Microscope Images,
SCIA97(xx-yy)
HTML Version. 9705
BibRef
Earlier: A1, A2, Only:
Cell Identification in Differential Interference Contrast Microscope Images Using Edge Detection,
BMVC96(Poster Session 1). 9608
University of Strathclyde BibRef

Fernandez, G., Kunt, M., Zryd, J.P.,
Multi-Spectral Based Cell Segmentation and Analysis,
PBMCV95(SESSION 6) BibRef 9500

Taylor, C.C., Faghihi, M.R., Dryden, I.L.,
An understanding of muscle fibre images,
CIAP95(223-228).
Springer DOI 9509
BibRef

Scholz, T., Jähne, B., Suhr, H., Wehnert, G., Geissler, P., Schneider, K.,
In situ determination of cell concentration in bioreactors with a new depth from focus technique,
CAIP95(392-399).
Springer DOI 9509
BibRef

Fernàndez, G., Kunt, M., Zrÿd, J.P.,
A new plant cell image segmentation algorithm,
CIAP95(229-234).
Springer DOI 9509
BibRef

Kreitz, S., Hess, A., Anderson, T.H.,
Direct enumeration and size classification of soil bacteria using confocal laser scanning microscopy and image analysis,
ICIP95(I: 454-457).
IEEE DOI 9510
BibRef

Veelaert, P.,
Arrays of low-level inequality based feature detecting cells,
ICPR94(B:500-502).
IEEE DOI 9410
BibRef

Grimm, F., Fabregas, X., Bunke, H., Weiss, S., Wittwer, R.,
Knowledge-based interpretation of thyroid scintigrams,
WACV94(230-239).
IEEE Abstract. 0403
BibRef

Haouari, A., Chassery, J.M.,
A two pass labeling algorithm for automatic schistosome egg detection and counting,
ICPR88(II: 827-829).
IEEE DOI 8811
BibRef

Li, S.X.[Shu-Xiang], Liu, J.P.[Jian-Ping], Huang, Y.M.[Yi-Min],
Schistosome egg recognition using the top-down search strategy,
ICPR88(II: 798-800).
IEEE DOI 8811
BibRef

Chapter on Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models continues in
Stem Cell Analysis .


Last update:Dec 7, 2017 at 17:23:10