Krzysztof Ciesielski's


List of Applied Math/Data Sciences Publications



Articles in Peer Reviewed Research Journals and a Book Chapter

  1. [paper #77] K. Ciesielski,, J. P. Sacha, and K. J. Cios, Synthesis of Feedforward Networks in Supremum Error Bound, IEEE Trans. on Neural Networks 11(6) (2000), 1213-1227.
  2. [paper #100] K.C. Ciesielski, J. K. Udupa, P. K. Saha, Y. Zhuge, Iterative relative fuzzy connectedness for multiple objects with multiple seeds, Computer Vision and Image Understanding 107(3), (2007), 160-182; http://dx.doi.org/10.1016/j.cviu.2006.10.005.
  3. [paper #101] K.C. Ciesielski and J.K. Udupa, Affinity functions in fuzzy connectedness based image segmentation I: Equivalence of affinities, Computer Vision and Image Understanding 114, (2010), 146-154; http://dx.doi.org/10.1016/j.cviu.2009.09.006.
  4. [paper #102] K.C. Ciesielski and J.K. Udupa, Affinity functions in fuzzy connectedness based image segmentation II: Defining and recognizing truly novel affinities, Computer Vision and Image Understanding 114, (2010), 155-166; http://dx.doi.org/10.1016/j.cviu.2009.09.005.
  5. [paper #103] K.C. Ciesielski and J.K. Udupa, A framework for comparing different image segmentation methods and its use in studying equivalences between level set and fuzzy connectedness frameworks, Computer Vision and Image Understanding 115 (2011), 721-734; http://dx.doi.org/10.1016/j.cviu.2011.01.003.
  6. [paper #104] K.C. Ciesielski, X. Chen, J.K. Udupa, and G. Grevera, Linear time algorithm for exact distance transform, Journal of Mathematical Imaging and Vision 39(3) (2011), 193-209; http://dx.doi.org/10.1007/s10851-010-0232-4.
  7. [paper #105] K.C. Ciesielski and J.K. Udupa, Region-based segmentation: fuzzy connectedness, graph cut, and other related algorithms, in Biomedical Image Processing (Thomas M. Deserno, editor), Springer-Verlag, 2011, 251-278; http://dx.doi.org/10.1007/978-3-642-15816-2_10.
  8. [paper #106] K.C. Ciesielski, J.K. Udupa, A.X. Falcao, and P.A.V. Miranda, Fuzzy Connectedness image segmentation in Graph Cut formulation: A linear-time algorithm and a comparative analysis, Journal of Mathematical Imaging and Vision 44(3) (2012), 375-398; http://dx.doi.org/10.1007/s10851-012-0333-3.
  9. [paper #110] Y. Zhuge, K.C. Ciesielski, J.K. Udupa, and R.W. Miller, GPU-Based Relative Fuzzy Connectedness Image Segmentation, Medical Physics 40(1), 011903 (2013), pp. 1-10; http://dx.doi.org/10.1118/1.4769418.
  10. [paper #111] R. Strand, K.C. Ciesielski, F. Malmberg, and P.K. Saha, The minimum barrier distance, Computer Vision and Image Understanding 117(4) (2013), 429-437; http://dx.doi.org/10.1016/j.cviu.2012.10.011.
  11. [paper #113] K.C. Ciesielski, P.A.V. Miranda, A.X. Falcao, and J.K. Udupa, Joint graph cut and relative fuzzy connectedness image segmentation algorithm, Medical Image Analysis 17(8) (2013), 1046-1057; DOI information: http://dx.doi.org/10.1016/j.media.2013.06.006. Article usage information.
  12. [paper #116] K.C. Ciesielski, R. Strand, F. Malmberg, and P.K. Saha, Efficient algorithm for finding the exact minimum barrier distance, Computer Vision and Image Understanding 123 (2014), 53-64; DOI information: http://dx.doi.org/10.1016/j.cviu.2014.03.007.
  13. [paper #117] Jayaram K. Udupa, Dewey Odhner, Liming Zhao, Yubing Tong, Monica M.S. Matsumoto, Krzysztof C. Ciesielski, Alexandre X. Falcao, Pavithra Vaideeswaran, Victoria Ciesielski, Babak Saboury, Syedmehrdad Mohammadianrasanani, Sanghun Sin, Raanan Arens, Drew A. Torigian, Body-Wide Hierarchical Fuzzy Modeling, Recognition, and Delineation of Anatomy in Medical Images, Medical Image Analysis 18(5) (2014), 752-771; http://dx.doi.org/10.1016/j.media.2014.04.003.
  14. [paper #123] K.C. Ciesielski, Gabor T. Herman, and T. Yung Kong, General Theory of Fuzzy Connectedness Segmentations, Journal of Mathematical Imaging and Vision 55(3) (2016), 304-342; http://dx.doi.org/10.1007/s10851-015-0623-7.
  15. Yubing Tong, Jayaram K.Udupa, Krzysztof C. Ciesielski, Caiyun Wu, Joseph M. McDonough, David A. Mong, and Robert M. Campbell Jr., Retrospective 4D MR Image Construction from Free-Breathing Slice Acquisitions: A Novel Graph-Based Approach, Medical Image Analysis 35 (2017), 345-359; http://dx.doi.org/10.1016/j.media.2016.08.001.
  16. [paper #134] K.C. Ciesielski, A.X. Falcao, and P.M. Miranda, Path-value functions for which Dijkstra's algorithm returns optimal mapping, Journal of Mathematical Imaging and Vision 60(7) (2018), 1025-1036; http://dx.doi.org/10.1007/s10851-018-0793-1; free reprint viewing.
  17. [paper #149] Caio de Moraes Braz, Paulo A.V. Miranda, K.C. Ciesielski, and Fabio A.M. Cappabianco, Optimum Cuts in Graphs by General Fuzzy Connectedness with Local Band Constraints, Journal of Mathematical Imaging and Vision 62(5) (2020), 659-672; https://doi.org/10.1007/s10851-020-00953-w.
  18. [paper #150] F. Malmberg and K.C. Ciesielski, Two polynomial time graph labeling algorithms optimizing max-norm based objective functions, Journal of Mathematical Imaging and Vision 62(5) (2020), 737-750; https://doi.org/10.1007/s10851-020-00963-8.
  19. [paper #154] Leissi M. Castaneda Leon, K.C. Ciesielski, Paulo A. V. Miranda, Efficient hierarchical multi-object segmentation in layered graph, Mathematical Morphology - Theory and Applications (MMTA) 5(1) (2021), 21-41; https://doi.org/10.1515/mathm-2020-0108.

List of Applied Math/Data Sciences Conference Proceedings Papers
  1. [paper #13] K. Ciesielski, K. Cios, and L. S. Goodenday, A recognition method for coronary artery stenoses, in Computers in Cardiology, 123-126. Louven, Belgium, 1987: IEEE Computer Society 1988.
  2. Krzysztof Chris Ciesielski, J.K. Udupa, D. Odhner, and Liming Zhao, Fuzzy model based object delineation via energy minimization, Medical Imaging 2013: Image Processing, SPIE Proceedings 8669, 2013, pp. 86693H-1--86693H-9.
  3. N. Moya, A.X. Falcao, K.C. Ciesielski, and J.K. Udupa, Differential and relaxed image foresting transform for graph-cut segmentation of multiple 3D objects, in: Lecture Notes in Computer Science 8673, Proceedings of MICCAI 2014, Springer (2014), pp. 690-697.
  4. K.C. Ciesielski and J.K. Udupa, Affinity functions: recognizing essential parameters in fuzzy connectedness based image segmentation, Medical Imaging 2009: Image Processing, SPIE Proceedings 7259, 2009.
  5. K.C. Ciesielski and J.K. Udupa, A general theory of image segmentation: level set segmentation in the fuzzy connectedness framework, Medical Imaging 2007: Image Processing, SPIE Proceedings 6512, 2007.
  6. K.C. Ciesielski, J.K. Udupa, X. Chen, and G. Grevera, Linear time algorithms for exact distance transform: elaboration on Maurer et al. algorithm, Medical Imaging 2009: Image Processing, SPIE Proceedings 7259, 2009.
  7. K.C. Ciesielski, J.K. Udupa, A.X. Falcao, and P.A.V. Miranda, Comparison of fuzzy connectedness and graph cut segmentation algorithms, Medical Imaging 2011: Image Processing, SPIE Proceedings 7962, 2011.
  8. K.C. Ciesielski, J.K. Udupa, A.X. Falcao, and P.A.V. Miranda, A unifying graph-cut image segmentation framework: algorithms it encompasses and equivalences among them, Medical Imaging 2012: Image Processing, SPIE Proceedings 8314, 2012.
  9. Y. Zhuge, J.K. Udupa, K.C. Ciesielski, A.X. Falcao, P.A.V. Miranda, and R.W. Miller, GPU-Based Iterative Relative Fuzzy Connectedness Image Segmentation, Medical Imaging 2012: Image Processing, SPIE Proceedings 8316, 2012.
  10. K.C. Ciesielski, P.A.V. Miranda, J.K. Udupa, A.X. Falcao, Image segmentation by combining the strengths of relative fuzzy connectedness and graph cut, 19th IEEE International Conference on Image Processing 2012, ICIP Proceedings, (2012), 2005-2008.
  11. J.K. Udupa, D. Odhner, A.X. Falcao, K.C. Ciesielski, P.A.V. Miranda, P. Vaideeswaran, S. Mishra, G.J. Grevera, B. Saboury, and D.A. Torigian, Fuzzy Object Modeling, Medical Imaging 2011: Image Processing, SPIE Proceedings 7964, 2011.
  12. J.K. Udupa, D. Odhner, A.X. Falcao, Krzysztof Chris Ciesielski, P.A.V. Miranda, M. Matsumoto, G.J. Grevera, B. Saboury, and D.A. Torigian, Automatic anatomy recognition via fuzzy object models, Medical Imaging 2012: Image Processing, SPIE Proceedings 8316, 2012.
  13. J.K. Udupa, D. Odhner, M. Matsumoto, Y. Tong, K.C. Ciesielski, P. Vaideeswaran, V. Ciesielski, B. Saboury, L. Zhao, S. Mohammadianrasanani, D.A. Torigian, Fuzzy-Model-Based Body-wide Anatomy Recognition in Medical Images, Medical Imaging 2013, SPIE Proceedings 8671, 2013, pp. 86712B-1--86712B-7.
  14. Gabor T. Herman, T. Yung Kong, and K.C. Ciesielski, Fuzzy Connectedness Segmentation: A Brief Presentation of the Literature, IWCIA 2015, Lecture Notes in Comp. Sci. 9448, pp. 21--30. http://dx.doi.org/10.1007/978-3-319-26145-4.
  15. Y. Tong, J.K. Udupa, K.C. Ciesielski, J.M. McDonough, A. Mong, R.M. Campbell, Graph-based retrospective 4D Image construction from free-breathing MRI slice acquisitions, Medical Imaging 2014: Image Processing, SPIE Proceedings 9038, 2014, pp. 90380I-1--90380I-7.
  16. R. Strand, K.C. Ciesielski, F. Malmberg, and P.K. Saha, The Minimum Barrier Distance: A Summary of Recent Advances, W.G. Kropatsch et al. (Eds.): DGCI 2017, LNCS 10502 (2017), Springer, Cham, pp. 57-68; http://dx.doi.org/10.1007/978-3-319-66272-5_6
  17. F. Malmberg, K.C. Ciesielski, and R. Strand, Optimization of Max-Norm Objective Functions in Image Processing and Computer Vision, in: Couprie M., Cousty J., Kenmochi Y., Mustafa N. (eds), Discrete Geometry for Computer Imagery, DGCI 2019, Lecture Notes in Computer Science 11414, pp. 206-218, 2019; https://doi.org/10.1007/978-3-030-14085-4_17.
  18. Caio de Moraes Braz, Paulo A.V. Miranda, K.C. Ciesielski, and Fabio A.M. Cappabianco, Graph-based Segmentation with Local Band Constraints, in: Couprie M., Cousty J., Kenmochi Y., Mustafa N. (eds), Discrete Geometry for Computer Imagery, DGCI 2019, Lecture Notes in Computer Science 11414, pp. 155-166, 2019; https://doi.org/10.1007/978-3-030-14085-4_13.