21.4.4.7 Tracking Cells, Deformations, Motion, Real-Time Analysis

Liu, M., Wei, Y., Qian, W., Zhang, H.,
Robust Plant Cell Tracking in Noisy Image Sequences Using Optimal CRF Graph Matching,
SPLetters(24), No. 8, August 2017, pp. 1168-1172.
IEEE DOI 1708
biological techniques, biological tissues, biology computing, cellular biophysics, graph theory, image matching, image sequences, object tracking, spatiotemporal phenomena, conditional random field graph method, high-throughput spatiotemporal quantitative measurements, multicellular tissues, neighboring cells spatial topology, noisy image sequence, optimal CRF graph matching, robust plant cell tracking, second-order potential, time-lapse live-imaging datasets, tracking accuracy rate improvement, tracking error reduction, tracking stability enhancement, Image edge detection, Image segmentation, Labeling, Noise measurement, Pipelines, Shape, Tracking, Cell tracking, conditional random field, local graph matching, noisy, images BibRef

Sgouralis, I.[Ioannis], Nebenführ, A.[Andreas], Maroulas, V.[Vasileios],
A Bayesian Topological Framework for the Identification and Reconstruction of Subcellular Motion,
SIIMS(10), No. 2, 2017, pp. 871-899.
DOI Link 1708
BibRef

Wan, J.Q.[Jiu-Qing], Chen, X.[Xu], Zeng, X.H.[Xian-Hang],
Cell tracking via Structured Prediction and Learning,
MVA(28), No. 8, November 2017, pp. 859-874.
WWW Link. 1710
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

Dai, C., Zhang, Z., Huang, J., Wang, X., Ru, C., Pu, H., Xie, S., Zhang, J., Moskovtsev, S., Librach, C., Jarvi, K., Sun, Y.,
Automated Non-Invasive Measurement of Single Sperm's Motility and Morphology,
MedImg(37), No. 10, October 2018, pp. 2257-2265.
IEEE DOI 1810
Morphology, Switches, Head, Target tracking, Position measurement, Trajectory, Measurement uncertainty, Cell tracking, sperm motility, automated measurement BibRef

Lee, J., Kolb, I., Forest, C.R., Rozell, C.J.,
Cell Membrane Tracking in Living Brain Tissue Using Differential Interference Contrast Microscopy,
IP(27), No. 4, April 2018, pp. 1847-1861.
IEEE DOI 1802
Matlab, biological techniques, biological tissues, biology computing, biomedical optical imaging, brain, sparse dynamical signal estimation BibRef

Hesar, H.D.[Hamed Danandeh], Abrishami Moghaddam, H.[Hamid], Safari, A.[Amirhossein], Eftekhari-Yazdi, P.[Poopak],
Multiple sperm tracking in microscopic videos using modified GM-PHD filter,
MVA(29), No. 3, April 2018, pp. 433-451.
Springer DOI 1804
BibRef
And: Correction: MVA(29), No. 3, April 2018, pp. 453.
Springer DOI 1804
BibRef

Liu, M.[Min], Li, J.Q.[Jie-Qin], Qian, W.L.[Wei-Li],
A multi-seed dynamic local graph matching model for tracking of densely packed cells across unregistered microscopy image sequences,
MVA(29), No. 8, November 2018, pp. 1237-1247.
WWW Link. 1811
BibRef

Yu, S., Lu, Y., Molloy, D.,
A Dynamic-Shape-Prior Guided Snake Model With Application in Visually Tracking Dense Cell Populations,
IP(28), No. 3, March 2019, pp. 1513-1527.
IEEE DOI 1812
cellular biophysics, deformation, gradient methods, image representation, image segmentation, image sequences, global-topology regularity BibRef

Sorokin, D.V., Peterlík, I., Ulman, V., Svoboda, D., Necasová, T., Morgaenko, K., Eiselleová, L., Tesarová, L., Maška, M.,
FiloGen: A Model-Based Generator of Synthetic 3-D Time-Lapse Sequences of Single Motile Cells With Growing and Branching Filopodia,
MedImg(37), No. 12, December 2018, pp. 2630-2641.
IEEE DOI 1812
Solid modeling, Biomedical imaging, Polymers, Deformable models, Microscopy, Strain, Simulation, filopodium evolution BibRef

Lang, L.F.[Lukas F.],
A Numerical Framework for Efficient Motion Estimation on Evolving Sphere-Like Surfaces Based on Brightness and Mass Conservation Laws,
SIIMS(12), No. 1, 2019, pp. 459-491.
DOI Link 1904
BibRef

Kheirkhah, F.M.[Fateme Mostajer], Mohammadi, H.R.S.[Hamid Reza Sadegh], Shahverdi, A.[Abdolhossein],
Efficient and robust segmentation and tracking of sperm cells in microscopic image sequences,
IET-CV(13), No. 5, August 2019, pp. 489-499.
DOI Link 1908
BibRef

Phan, H.T.H., Kumar, A., Feng, D., Fulham, M., Kim, J.,
Unsupervised Two-Path Neural Network for Cell Event Detection and Classification Using Spatiotemporal Patterns,
MedImg(38), No. 6, June 2019, pp. 1477-1487.
IEEE DOI 1906
Computer architecture, Microprocessors, Videos, Event detection, Neural networks, Feature extraction, pattern recognition and classification BibRef

Demir, H.S.[H. Seckin], Cetin, A.E.[A. Enis], Atalay, R.C.[Rengul Cetin],
A visual object tracking benchmark for cell motility in time-lapse imaging,
SIViP(13), No. 6, September 2019, pp. 1063-1070.
WWW Link. 1908
BibRef

Jiang, W.B.[Wen-Bo], Wu, L.H.[Le-Hui], Liu, S.H.[Shi-Hui], Liu, M.[Min],
CNN-based two-stage cell segmentation improves plant cell tracking,
PRL(128), 2019, pp. 311-317.
Elsevier DOI 1912
CNN, Cell segmentation, Cell tracking, Local graph matching BibRef

Spilger, R., Imle, A., Lee, J., Müller, B., Fackler, O.T., Bartenschlager, R., Rohr, K.,
A Recurrent Neural Network for Particle Tracking in Microscopy Images Using Future Information, Track Hypotheses, and Multiple Detections,
IP(29), 2020, pp. 3681-3694.
IEEE DOI 2002
Biomedical imaging, microscopy images, particle tracking, deep learning BibRef

Vahid, M.R.[Milad R.], Hanzon, B.[Bernard], Ober, R.J.[Raimund J.],
Fisher Information Matrix for Single Molecules with Stochastic Trajectories,
SIIMS(13), No. 1, 2020, pp. 234-264.
DOI Link 2004
BibRef

Sixta, T.[Tomáš], Cao, J.H.[Jia-Hui], Seebach, J.[Jochen], Schnittler, H.[Hans], Flach, B.[Boris],
Coupling cell detection and tracking by temporal feedback,
MVA(31), No. 4, April 2020, pp. Article24.
Springer DOI 2005
BibRef

Masoudi, S.[Samira], Razi, A.[Afsaneh], Wright, C.H.G.[Cameron H. G.], Gatlin, J.C.[Jesse C.], Bagci, U.[Ulas],
Instance-Level Microtubule Tracking,
MedImg(39), No. 6, June 2020, pp. 2061-2075.
IEEE DOI 2006
Microtubules, TIRF microscopy, instance-level segmentation, instance-level sub-cellular tracking, microtubule-microtubule interaction BibRef

Zhang, Y.[Yuan], Chen, J.[Jin], Pan, X.Z.[Xian-Zhu],
Multi-feature fusion of deep networks for mitosis segmentation in histological images,
IJIST(31), No. 2, 2021, pp. 562-574.
DOI Link 2105
deep learning, feature fusion, handcrafted features, histological images, knowledge transfer, mitotic cell BibRef

Vandaele, R.[Robin], Rieck, B.[Bastian], Saeys, Y.[Yvan], de Bie, T.[Tijl],
Stable topological signatures for metric trees through graph approximations,
PRL(147), 2021, pp. 85-92.
Elsevier DOI 2106
Topological data analysis, Algebraic topology, Persistent homology, Proximity graphs, Metric trees, Cell trajectory inference BibRef

Alabdulla, A.A.[Ahmad Alhaj], Hasiloglu, A.[Abdulsamet], Aksu, E.H.[Emrah Hicazi],
A robust sperm cell tracking algorithm using uneven lighting image fixing and improved branch and bound algorithm,
IET-IPR(15), No. 9, 2021, pp. 2068-2079.
DOI Link 2106
BibRef

Zhu, R.H.[Rong-Hua], Cui, Y.S.[Yan-Song], Hou, E.[Enyu], Huang, J.M.[Jian-Ming],
Efficient detection and robust tracking of spermatozoa in microscopic video,
IET-IPR(15), No. 13, 2021, pp. 3200-3210.
DOI Link 2110
non-specific aggregation, sperm cell detection, sperm head segmentation, sperm tracking BibRef

Liu, L.[Li], Chen, D.[Da], Shu, M.[Minglei], Li, B.S.[Bao-Sheng], Shu, H.Z.[Hua-Zhong], Paques, M.[Michel], Cohen, L.D.[Laurent D.],
Trajectory Grouping With Curvature Regularization for Tubular Structure Tracking,
IP(31), 2022, pp. 405-418.
IEEE DOI 2112
Computational modeling, Trajectory, Biomedical imaging, Mathematical models, Iron, Oncology, Image segmentation, graph optimization BibRef

Choi, W.J.[Woo June], Yoon, J.K.[Jung-Ki], Paulson, B.[Bjorn], Lee, C.H.[Chang-Hoon], Yim, J.J.[Jae-Joon], Kim, J.I.[Jong-Il], Kim, J.K.[Jun Ki],
Image Correlation-Based Method to Assess Ciliary Beat Frequency in Human Airway Organoids,
MedImg(41), No. 2, February 2022, pp. 374-382.
IEEE DOI 2202
Microscopy, Lung, Temperature measurement, Redundancy, Image resolution, Estimation, Atmospheric modeling, motion-contrast imaging BibRef

Hernández-García, S.[Sergio], Cuesta-Infante, A.[Alfredo], Montemayor, A.S.[Antonio S.],
Synthetic Spermatozoa Video Sequences Generation Using Adversarial Imitation Learning,
IbPRIA23(569-580).
Springer DOI 2307
BibRef

Meng, F.L.[Feng-Ling], Chen, Y.R.[Yin-Ran], Luo, X.B.[Xiong-Biao],
Accurate and Robust Sperm Tracking via Adaptive Marginalized Particle Filtering,
SPLetters(31), 2024, pp. 2020-2024.
IEEE DOI 2408
Trajectory, Histograms, Image color analysis, Color, Target tracking, Microscopy, Filtering, Infertility, sperm tracking BibRef

Gallusser, B.[Benjamin], Weigert, M.[Martin],
Trackastra: Transformer-based Cell Tracking for Live-cell Microscopy,
ECCV24(LXXVI: 467-484).
Springer DOI 2412
BibRef

Bragantini, J.[Jordão], Lange, M.[Merlin], Royer, L.[Loïc],
Large-scale Multi-hypotheses Cell Tracking Using Ultrametric Contours Maps,
ECCV24(LXXIX: 36-54).
Springer DOI 2412
BibRef

Acharya, S.[Sayan], Ganguly, A.[Aditya], Sarkar, R.[Ram], Jose, A.[Abin],
Cell Cycle State Prediction Using Graph Neural Networks,
ICIP24(2916-2922)
IEEE DOI 2411
Microscopy, Manuals, Feature extraction, Genetics, Graph neural networks, Vectors, Convolutional neural networks, Convolutional Neural Network BibRef

Weijler, L.[Lisa], Kowarsch, F.[Florian], Reiter, M.[Michael], Hermosilla, P.[Pedro], Maurer-Granofszky, M.[Margarita], Dworzak, M.[Michael],
FATE: Feature-Agnostic Transformer-based Encoder for learning generalized embedding spaces in flow cytometry data,
WACV24(7941-7949)
IEEE DOI Code:
WWW Link. 2404
Training, Analytical models, Microprocessors, Data acquisition, Computer architecture, Transformers, Data models, Applications BibRef

Reich, C.[Christoph], Prangemeier, T.[Tim], Koeppl, H.[Heinz],
The TYC Dataset for Understanding Instance-Level Semantics and Motions of Cells in Microstructures,
BioIm23(3942-3953)
IEEE DOI 2401
BibRef

Jang, J.B.[Jun-Bong], Lee, K.[Kwonmoo], Kim, T.K.[Tae-Kyun],
Unsupervised Contour Tracking of Live Cells by Mechanical and Cycle Consistency Losses,
CVPR23(227-236)
IEEE DOI 2309
BibRef

Bribiesca-Sánchez, A.[Andrés], Guzmán, A.[Adolfo], Darszon, A.[Alberto], Corkidi, G.[Gabriel], Bribiesca, E.[Ernesto],
A Measure of Tortuosity for 3d Curves: Identifying 3d Beating Patterns of Sperm Flagella,
IbPRIA23(363-374).
Springer DOI 2307
BibRef

Ben-Haim, T.[Tal], Raviv, T.R.[Tammy Riklin],
Graph Neural Network for Cell Tracking in Microscopy Videos,
ECCV22(XXI:610-626).
Springer DOI 2211
BibRef

Harmanec, A.[Adam], Kadlecova, Z.[Zuzana], Sroubek, F.[Filip],
Novel Reconstruction With Inter-Frame Motion Compensation For Fast Super-Resolution Live Cell Imaging,
ICIP22(3211-3215)
IEEE DOI 2211
TV, Optical microscopy, Microscopy, Superresolution, Lighting, Motion compensation, Iterative methods, Image reconstruction, optical flow BibRef

Hayashida, J.[Junya], Nishimura, K.[Kazuya], Bise, R.[Ryoma],
Consistent Cell Tracking in Multi-frames with Spatio-Temporal Context by Object-Level Warping Loss,
WACV22(1759-1768)
IEEE DOI 2202
Tracking, Shape, Motion estimation, Graphics processing units, Detectors, Cells (biology), Medical Imaging/Imaging for Bioinformatics/Biological and Cell Microscopy BibRef

Deng, X., Sarkar, R., Labruyere, E., Olivo-Marin, J.C., Srivastava, A.,
Modeling Shape Dynamics During Cell Motility in Microscopy Videos,
ICIP20(2491-2495)
IEEE DOI 2011
Shape, Time series analysis, Biomembranes, Evolution (biology), Kinematics, Dynamics, Mathematical model, cell migration, amoeboid motion BibRef

Nishimura, K.[Kazuya], Hayashida, J.[Junya], Wang, C.Y.[Chen-Yang], Ker, D.F.E.[Dai Fei Elmer], Bise, R.[Ryoma],
Weakly-supervised Cell Tracking via Backward-and-forward Propagation,
ECCV20(XII: 104-121).
Springer DOI 2010
BibRef

Hayashida, J., Nishimura, K., Bise, R.,
MPM: Joint Representation of Motion and Position Map for Cell Tracking,
CVPR20(3822-3831)
IEEE DOI 2008
Computer architecture, Microprocessors, Task analysis, Tracking, Coherence, Feature extraction BibRef

Anjum, S., Gurari, D.,
CTMC: Cell Tracking with Mitosis Detection Dataset Challenge,
Microscopy20(4228-4237)
IEEE DOI 2008
Videos, Viruses (medical), Servers, Benchmark testing, Insulation life, Degradation, Kidney BibRef

Almakady, Y., Mahmoodi, S.,
Texture-Based Region Tracking Using Gaussian Markov Random Fields for Cilia Motion Analysis,
ICIP19(1292-1296)
IEEE DOI 1910
Cilia, GMRF, Texture feature, Region tracking, trajectory BibRef

Ram, S., Majdi, M.S., Rodríguez, J.J., Gao, Y., Brooks, H.L.,
Classification of Primary Cilia in Microscopy Images Using Convolutional Neural Random Forests,
Southwest18(89-92)
IEEE DOI 1809
Forestry, Microscopy, Vegetation, Training, Decision trees, Image color analysis, Computer architecture, confocal microscopy BibRef

Dewan, K., Dastidar, T.R., Ahmad, M.,
Estimation of Sperm Concentration and Total Motility from Microscopic Videos of Human Semen Samples,
Microscopy18(2380-23807)
IEEE DOI 1812
Tracking, Trajectory, Microscopy, Videos, Proposals, Image edge detection, Estimation 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

Rempfler, M.[Markus], Lange, J.H.[Jan-Hendrik], Jug, F.[Florian], Blasse, C.[Corinna], Myers, E.W.[Eugene W.], Menze, B.H.[Bjoern H.], Andres, B.[Bjoern],
Efficient Algorithms for Moral Lineage Tracing,
ICCV17(4705-4714)
IEEE DOI 1802
Cell tracking. biology computing, cellular biophysics, image reconstruction, image segmentation, image sequences, ray tracing, tree searching, Transforms BibRef

Maška, M., Matula, P.,
Particle Tracking Accuracy Measurement Based on Comparison of Linear Oriented Forests,
BioIm17(11-17)
IEEE DOI 1802
Algorithm design and analysis, Atmospheric measurements, Logic gates, Particle measurements, Particle tracking, Protocols BibRef

Fortun, D., Debroux, N., Kervrann, C.,
Spatially-Variant Kernel for Optical Flow Under Low Signal-to-Noise Ratios Application to Microscopy,
BioIm17(42-48)
IEEE DOI 1802
Adaptive optics, Estimation, Microscopy, Optical imaging, Optical microscopy, Robustness, Standards BibRef

Selka, F., Blein, T., Burguet, J., Biot, E., Laufs, P., Andrey, P.,
Towards a Spatio-Temporal Atlas of 3D Cellular Parameters During Leaf Morphogenesis,
BioIm17(56-63)
IEEE DOI 1802
Epidermis, Image segmentation, Shape, Sociology, Statistics, Surface morphology, BibRef

Lai, Y., Kamata, S.i., Fu, Z.,
Robust registration of serial cell microscopic images using 3D Hilbert scan search,
MVA17(530-533)
DOI Link 1708
Adaptive optics, Feature extraction, Microscopy, Mutual information, Optical imaging, Robustness, Three-dimensional, displays BibRef

Jug, F.[Florian], Levinkov, E.[Evgeny], Blasse, C.[Corinna], Myers, E.W.[Eugene W.], Andres, B.[Bjoern],
Moral Lineage Tracing,
CVPR16(5926-5935)
IEEE DOI 1612
Track cells as they move and divide. BibRef

Matuszewski, D.J.[Damian J.], Sintorn, I.M.[Ida-Maria], Puigvert, J.C.[Jordi Carreras], Wählby, C.[Carolina],
Comparison of Flow Cytometry and Image-Based Screening for Cell Cycle Analysis,
ICIAR16(623-630).
Springer DOI 1608
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

Cheng, J.R.[Jie-Rong], Xiong, W.[Wei], Gu, Y.[Ying], Chia, S.C.[Shue-Ching], Wang, Y.[Yue], Lim, J.H.[Joo-Hwee],
A Three-Color Coupled Level-Set Algorithm for Simultaneous Multiple Cell Segmentation and Tracking,
ACCV14(III: 268-283).
Springer DOI 1504
BibRef

Ramesh, N.[Nisha], Tasdizen, T.[Tolga],
Cell tracking using particle filters with implicit convex shape model in 4D confocal microscopy images,
ICIP14(446-450)
IEEE DOI 1502
Bayes methods BibRef

Chakraborty, A.[Anirban], Roy-Chowdhury, A.K.[Amit K.],
A conditional random field model for tracking in densely packed cell structures,
ICIP14(451-455)
IEEE DOI 1502
Feature extraction BibRef

Saha, B.N., Ray, N.[Nilanjan], McArdle, S.[Sara], Ley, K.[Klaus],
A two-stage minimum spanning tree (MST) based clustering algorithm for 2D deformable registration of time sequenced images,
ICIP17(1472-1476)
IEEE DOI 1803
Clustering algorithms, Distortion, Entropy, Image registration, Image sequences, Microscopy, time sequence imaging BibRef

McArdle, S.[Sara], Acton, S.T.[Scott T.], Ley, K.[Klaus], Ray, N.[Nilanjan],
Registering sequences of in vivo microscopy images for cell tracking using dynamic programming and minimum spanning trees,
ICIP14(3547-3551)
IEEE DOI 1502
Dynamic programming BibRef

Esteves, T.[Tiago], Carvalho, Â.[Ângela], Monteiro, F.J.[Fernando Jorge], Quelhas, P.[Pedro],
Periodic Background Pattern Detection and Removal for Cell Tracking,
ICIAR14(II: 123-131).
Springer DOI 1410
BibRef

Okabe, T., Hotta, K.,
Accuracy Improvement of Melanosome Tracking by Error Correction,
DICTA13(1-8)
IEEE DOI 1402
cellular biophysics BibRef

Kausler, B.X.[Bernhard X.], Schiegg, M.[Martin], Andres, B.[Bjoern], Lindner, M.[Martin], Koethe, U.[Ullrich], Leitte, H.[Heike], Wittbrodt, J.[Jochen], Hufnagel, L.[Lars], Hamprecht, F.A.[Fred A.],
A Discrete Chain Graph Model for 3d+t Cell Tracking with High Misdetection Robustness,
ECCV12(III: 144-157).
Springer DOI 1210
BibRef

Wang, Q.[Quan], Ou, Y.[Yan], Julius, A.A.[A. Agung], Boyer, K.L.[Kim L.], Kim, M.J.[Min Jun],
Tracking Tetrahymena pyriformis cells using decision trees,
ICPR12(1843-1847).
WWW Link. 1302
BibRef

Chowdhury, A.S.[Ananda S.], Paul, A.[Angshuman], Bunyak, F.[Filiz], Cornelison, D.D.W., Palaniappan, K.,
Semi-automated tracking of muscle satellite cells in brightfield microscopy video,
ICIP12(2825-2828).
IEEE DOI 1302
BibRef

Saha, U.[Utsab], Singh, R.[Rahul],
Vision-based Tracking of Complex Macroparasites for High-content Phenotypic Drug Screening,
ISVC12(II: 104-114).
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

Mkrtchyan, K., Singh, D., Liu, M., Reddy, V., Roy-Chowdhury, A., Gopi, M.,
Efficient cell segmentation and tracking of developing plant meristem,
ICIP11(2165-2168).
IEEE DOI 1201
BibRef

Chowdhury, A.S.[Ananda S.], Chatterjee, R.[Rohit], Ghosh, M.[Mayukh], Ray, N.[Nilanjan],
Cell Tracking in Video Microscopy Using Bipartite Graph Matching,
ICPR10(2456-2459).
IEEE DOI 1008
BibRef

Iwanowski, M.[Marcin], Korzynska, A.[Anna],
Segmentation of Moving Cells in Bright Field and Epi-Fluorescent Microscopic Image Sequences,
ICCVG10(I: 401-410).
Springer DOI 1009
BibRef

Ong, L.L.S.[Lee-Ling S.], Ang, M.H.[Marcelo H.], Asada, H.H.[H. Harry],
Tracking of cell population from time lapse and end point confocal microscopy images with multiple hypothesis Kalman smoothing filters,
MMBIA10(71-78).
IEEE DOI 1006
BibRef

Thirusittampalam, K.[Ketheesan], Hossain, M.J.[M. Julius], Ghita, O.[Ovidiu], Whelan, P.F.[Paul F.],
A Novel Framework for Tracking In-vitro Cells in Time-lapse Phase Contrast Data,
BMVC10(xx-yy).
HTML Version. 1009
BibRef
Earlier:
Cellular Tracking in Time-Lapse Phase Contrast Images,
IMVIP09(77-82).
IEEE DOI 0909
BibRef

Mohamed, R.[Refaat], El-Baz, A.[Ayman], Navalta, J.[James],
Assessment of exercise-induced immune cell apoptosis using morphological image processing,
ICIP09(2649-2652).
IEEE DOI 0911
BibRef

Quelhas, P.[Pedro], Mendonça, A.M.[Ana Maria], Campilho, A.[Aurélio],
Optical Flow Based Arabidopsis Thaliana Root Meristem Cell Division Detection,
ICIAR10(II: 217-226).
Springer DOI 1006
BibRef

Marcuzzo, M.[Monica], Guichard, T.[Tiago], Quelhas, P.[Pedro], Mendonça, A.M.[Ana Maria], Campilho, A.[Aurélio],
Cell Division Detection on the Arabidopsis Thaliana Root,
IbPRIA09(168-175).
Springer DOI 0906
BibRef

Marcuzzo, M.[Monica], Quelhas, P.[Pedro], Campilho, A.[Ana], Mendonça, A.M.[Ana Maria], Campilho, A.[Aurélio],
A Hybrid Approach for Arabidopsis Root Cell Image Segmentation,
ICIAR08(xx-yy).
Springer DOI 0806
BibRef

Marcuzzo, M.[Monica], Quelhas, P.[Pedro], Mendonca, A.M.[Ana Maria], Campilho, A.[Aurelio],
Tracking of Arabidopsis thaliana root cells in time-lapse microscopy,
ICPR08(1-4).
IEEE DOI 0812
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

Garcia, B.[Bernardo], Campilho, A.[Ana], Scheres, B.[Ben], Campilho, A.[Aurélio],
Automatic Tracking of Arabidopsis thaliana Root Meristem in Confocal Microscopy,
ICIAR04(II: 166-174).
Springer DOI 0409
BibRef

Nguyen, N.[Nhat], Keller, S.[Steve], Huynh, T.[Toan], Shin, M.[Min],
Tracking colliding cells,
WACV09(1-7).
IEEE DOI 0912
BibRef

Russell, C.[Christopher], Metaxas, D.N.[Dimitris N.], Restif, C.[Christophe], Torr, P.H.S.[Philip H.S.],
Using the Pn Potts model with learning methods to segment live cell images,
MMBIA07(1-8).
IEEE DOI 0710
BibRef

Nath, S.K.[Sumit K.], Bunyak, F.[Filiz], Palaniappan, K.[Kannappan],
Robust Tracking of Migrating Cells Using Four-Color Level Set Segmentation,
ACIVS06(920-932).
Springer DOI 0609
BibRef

Li, K.[Kang], Miller, E.D.[Eric D.], Weiss, L.E.[Lee E.], Campbell, P.G.[Phil G.], Kanade, T.[Takeo],
Online Tracking of Migrating and Proliferating Cells Imaged with Phase-Contrast Microscopy,
MMBIA06(65).
IEEE DOI 0609
BibRef

Yang, G.[Ge], Matov, A., Danuser, G.,
Reliable Tracking of Large Scale Dense Antiparallel Particle Motion for Fluorescence Live Cell Imaging,
BioInfo05(III: 138-138).
IEEE DOI 0507
BibRef

Kanade, T.[Takeo], Li, K.[Kang],
Tracking of Migrating and Proliferating Cells in Phase-Contrast Microscopy Imagery for Tissue Engineering,
CVBIA05(24-24).
Springer DOI 0601
BibRef

Ray, N., Dong, G., Acton, S.T.,
Tracking Multiple Cells by Correspondence Resolution in a Sequential Bayesian Framework,
ICIP05(I: 705-708).
IEEE DOI 0512
BibRef

Berkes, P., Wiskott, L.,
Applying slow feature analysis to image sequences yields a rich repertoire of complex cell properties,
ICANN02pp. 81-86. LNCS 2415, Springer
Springer DOI BibRef 0000

McNally, J.G.,
Computational optical-sectioning microscopy for 3D quantification of cell motion: results and challenges,
ICIP94(III: 528-532).
IEEE DOI 9411
BibRef

Chapter on Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models continues in
Extraction and Analysis of Neurons .

Last update:Jan 15, 2025 at 14:36:47