Journal Publications

  1. M Sajjadi, SM Seyedhosseini and T Tasdizen, Disjunctive Normal Networks, accepted, Neurocomputing.
  2. T Liu, SM Seyedhosseini and T Tasdizen, Image Segmentation Using Hierarchical Merge Tree, 25(10): 4596--4607, IEEE Trans Image Processing, October 2016.
  3. SK Iyer, T Tasdizen, N Burgon, E Kholmovski, N Marrouche, G Adluru and EVR DiBella, Compressed sending for rapid late gadolinium enhanced imaging of the left atrium: A preliminary study, Magnetic Resonance Imaging, 34(7): 846--854, 2016.
  4. SK Iyer, T Tasdizen, D Likhite and EVR DiBella, Split Bregman Multicoil Accelerated Reconstruction Technique (SMART): A new framework for rapid reconstruction of cardiac perfusion MRI, Medical Physics, 43(4):1969--1981, 2016.
  5. SM Seyedhosseini and T Tasdizen, Semantic Image Segmentation with Contextual Hierarchical Models, IEEE PAMI, 38(5):951--964, May 2016.
  6. M Barjatia, T Tasdizen, B Song and KM Golden, Network Modeling of Arctic Melt Ponds, Cold Regions Science and Technology, 124:40-53, April 2016.
  7. I Arganda-Carreras, SC Turaga, DR Berger, D Ciresan, A Giusti, LM Gambardella, J Schmidhuber, D Laptev, S Dwivedi, J Buhmann, T Liu, M Seyedhosseini, T Tasdizen, L Kamentsky, R Burget, V Uher, X Tan, C Sun, TD Pham, E Bas, MG Uzunbas,  A Cardona, J Schindelin, HS Seung, Electron Microscopy Challenge: Crowdsourcing the creation of machine intelligence for connectomics, Frontiers in Neuroanatomy, 9:00142, 2015.
  8. Sajjadi, SM Seyedhosseini and T Tasdizen, Nonlinear regression with logistic product basis networks, 22:8, pp 1011--1015, IEEE Signal Processing Letters, August 2015.
  9. C Jones, T Liu, NW Cohan, M Ellisman, T Tasdizen, Efficient Semi-Automatic 3D Segmentation for Neuron Tracing in Electron Microscopy Images, in press, J Neuroscience Methods.
  10. SM Seyedhosseini, S Shushruth, T Davis, JM Ichida, PA House, B Greger, A Angelucci and T Tasdizen, Informative features of local field potential signals in primary visual cortex during natural image stimulation, in press, J Neurophysiology.
  11. M Sajjadi, SM Seyedhosseini and T Tasdizen, Nonlinear regression with logistic product basis networks, 22:8, pp 1011–1015, IEEE Signal Processing Letters, August 2015.
  12. SM Seyedhosseini and T Tasdizen, Disjunctive Normal Random Forests, Pattern Recognition 48:3, pp 976–983, March 2015.
  13. T Liu, C Jones, SM Seyedhosseini and T Tasdizen, A Modular Hierarchical Approach to 3D Electron Microscopy Image Segmentation, J Neuroscience Methods, 226, pp. 88-102, 2014.
  14. AJ Perez, SM Seyedhosseini, TJ Deerinck, EA Bushong, T Tasdizen and MH Ellisman, A Workflow for the Automatic Segmentation of Organelles in Electron Microscopy Image Stacks, Frontiers in Neuroanatomy, 8:126, 2014.T Liu, C Jones,
  15. SM Seyedhosseini, MH Ellisman and T Tasdizen, Multi-Class Multi-Scale Series Contextual Model for Image Segmentation, IEEE Trans Image  Processing, 22:11 pp. 4486–4496, November 2013.
  16. E Jurrus, S Watanabe, ARC Paiva, MH Ellisman, EM Jorgensen and T Tasdizen, Semi-Automated Neuron Boundary Detection and Nonbranching Process Segmentation in Electron Microscopy Images, Neuroinformatics. 2013 Jan;11(1):5-29
  17. ARC Paiva and T Tasdizen, Fingerprint Image Segmentation using Data Manifold Characteristic Features, International Journal of Pattern Recognition and Artificial Intelligence, 26:4, pp 12560, 2012.
  18. L. Hogrebe, A. R.C. Paiva, E. Jurrus, C. Christensen, M. Bridge, J.R. Korenberg, P. R. Hof, B. Roysam, T. Tasdizen, Serial Section Registration of Axonal Confocal Microscopy Datasets for Long Range Neural Circuit Reconstruction, Journal of Neuroscience Methods 207, pp. 200-210, 2012.
  19. N. Ramesh, B. J. Dangott, M. Salama and T. TasdizenSegmentation and Two-Step Classification of White Blood Cells in Peripheral Blood Smear, Journal of Pathology Informatics 3:13, 2012.
  20. S. K. Iyer, T. Tasdizen and E. V. R. DiBella, Edge Enhanced Spatio-Temporal Constrained Reconstruction of Undersampled Dynamic Contrast Enhanced Radial MRI, Magnetic Resonance Imaging 30, pp. 610-619, 2012.
  21. M. L. Berlanga, S. Phan, E. A. Bushong, S. Lamont, S. Wu, O. Kwon, B. S. Phung, M. Terada, T. Tasdizen, E. Martone and M. H. Ellisman, ”Three-dimensional reconstruction of serial mouse brain sections using high-resolution large-scale mosaics,” Frontiers in Neuroscience Methods 5,  March 2011.
  22. J. R. Anderson, B. W. Jones, C. B. Watt, M. V. Shaw, J.-H. Yang, D. DeMill, J. S. Lauritzen, Y. Lin, K. D. Rapp, D. Mastonarde, P. Koshevoy, B. Grimm, T. Tasdizen, R. Whitaker and R. E. Marc, Exploring the Retinal Connectome, Molecular Vision, 17:355-379, February 2011.
  23. J. R. Anderson, B. C. Grimm, S. Mohammed, B.W. Jones, T. Tasdizen, J Spaltenstein, P. Koshevoy, R. Whitaker and R.E. Marc, ”The Viking Viewer: Scalable Multiuser Annotation and Summarization of Large Volume Datasets,” Journal of Microscopy, 241(1), 13-28, 2011.
  24. N Sadeghi, NL Foster, AY Wang, S Minoshima, AP Lieberman and T Tasdizen, Automatic Diagnostic Classification of Dementia with FDG-PET Using a Spatial-Decision Tree Approach, Alzheimer’s and Dementia The Journal of the Alzheimer’s Association, Vol 4:4, Suppl. 1, T28, July 2008.
  25. T. Tasdizen, P. Koshevoy, B. C. Grimm, J. R. Anderson, B. W. Jones, C. B. Watt, R. T. Whitaker and R. E. Marc, ”Automatic mosaicking and volume assembly for high-throughput serial-section transmission electron microscopy,” Journal of Neuroscience Methods, 193(1), 132-44, 2010.
  26. S. Gerber, T. Tasdizen, T. Fletcher, S. Joshi and R. T. Whitaker, Manifold Modeling for Brain Population Analysis, Medical Image Analysis, Volume 14, Issue 5, Special Issue on the 12th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), October 2010, Pages 643-653. Best paper of the special issue award.
  27. G. Adluru, T. Tasdizen, M. Schabel and E. V. R. DiBella, ”Reconstruction of 3D Dynamic Contrast Enhanced MRI using Non-Local Means,” Journal of Magnetic Resonance Imaging, 32(5), 1217-27, 2010.
  28. E. Jurrus, A. R. C. Paiva, S. Watanabe, J. R. Anderson, B. W. Jones, R. T. Whitaker, E. M. Jorgensen, R. E. Marc and T. TasdizenDetection of neuron membranes in electron microscopy images using a serial neural network architecture, Medical Image Analysis, 14:6, 770-83, 2010
  29. C. Schlimper, O. Nemitz, U. Dorenbeck, J. Scorzin, R. Whitaker, T. Tasdizen, M. Rumpf and K. Schaller, ”Restoring three-dimensional magnetic resonance angiography images with mean curvature motion,” Neurological Research, vol. 32, no. 1, pp. 87-93, February 2010.
  30. T. Tasdizen, ”Principal Neighborhood Dictionaries for Non-local Means Image Denoising,” IEEE Transactions on Image Processing, vol. 18, no. 12., pp. 2649-60, December 2009. Top 3rd accessed paper in IEEE Xplore during November 2009.
  31. J.R. Anderson, B. W. Jones, J-H Yang, M.V. Shaw, C.B. Watt, P. Koshevoy, J. Spaltenstein, E. Jurrus, Kannan U V, R. Whitaker, D. Mastronarde , T. Tasdizen, R.E. Marc. A Computational Framework for Ultrastructural Mapping of Neural CircuitryPLoS Biology, March, vol. 7, no. 3, pp. e74, 2009.
  32. J. S. Preston, T. Tasdizen, C. M. Terry, A. K. Cheung and R. M. Kirby, Using the Stochastic Collocation Method for the Uncertainty Quantification of Drug Concentration due to Depot Shape VariabilityIEEE Trans. Biomedical Engineering, Volume 56, no 3, pp. 609-620, March 2009.
  33. E. Jurrus, M. Hardy, T. Tasdizen, P. T. Fletcher, P. Koshevoy, C.-B. Chien, W. Denk and R. Whitaker, Axon tracking in Serial Block-Face Scanning Electron MicroscopyMedical Image Analysis, Volume 13, Issue 1, Pages 180-188, February 2009.
  34. N. L. Foster, A. Y. Wang, T. Tasdizen, P. T. Fletcher, J. M. Hoffman and R. A. Koeppe, Realizing the potential of positron emission tomography wuth F-fluorodeoxyglucose to improve the treatment of Alzheimer's disease, The Journal of the Alzheimer's Association, Vol 4:1, Suppl. 1, Pages 29-36, 2008.
  35. NL Foster, AY Wang, T Tasdizen, K Chen, W Jagust, RA Koeppe, E Reiman, MW Weiner and S Minoshima, Cerebral Hypometabolism Suggesting Frototemporal Dementia in an 3Alzheimer’s Disease Clinical Trial, Neurology, 70:11, A103, 2008.
  36. Ganesh Adluru, Suyash P. Awate, T. Tasdizen, Ross T. Whitaker and Edward V. R. DiBella, “Temporally Constrained Reconstruction of Dynamic Cardiac Perfusion MRI,” Magnetic Resonance in Medicine, Vol 57, Pages 1027-1036, 2007.
  37. Oliver Nemitz, T. Tasdizen, Martin Rumpf and Ross T. Whitaker, “Anisotropic Curvature Motion for Structure Enhancing Smoothing of 3D MR Angiography Data,” Journal of Mathematical Imaging and Vision, Vol 7, Num 3, Pages 217-229, 2007.
  38. Suyash P. Awate, T. Tasdizen, Norman L. Foster and Ross T. Whitaker, “Adaptive, Nonparametric Markov Modeling for Unsupervised, MRI Brain-Tissue Classification,” Medical Image Analysis, Vol. 10, Num. 5, Pages 726-739, 2006.
  39. T. Tasdizen and Ross T. Whitaker, “Higher-order Nonlinear Priors for Surface Reconstruction,” IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 26, Num. 7, Pages 878-891, July 2004.
  40. T. Tasdizen, Ross T. Whitaker, Paul Burchard and Stanley Osher, “Geometric Surface Processing via Normal Maps,” ACM Transactions on Graphics, Vol. 22, Num. 4, Pages1012-1033, October 2003.
  41. T. Tasdizen, Jean-Philippe Tarel and David B. Cooper, “Improving the Stability of Algebraic Curves for Applications,” IEEE Transactions on Image Processing, Vol. 9, Num. 3, Pages405-416, March 2000.
  42. T. Tasdizen, Lale Akarun and Cem Ersoy, “Color Quantization with Genetic Algorithms,” Signal Processing: Image Communication, Vol. 12, Pages 49-57, January 1998.

Peer reviewed Conference and Workshop Publications

  1. M Sajjadi, M Javanmardi and T Tasdizen, Regularization With Stochastic Transformations and Perturbations for Deep Semi-Supervised Learning, NIPS 2016.
  2. MU Ghani, E Erdil, SD Kanik, AO Argunsah, A Hobbiss, I Israely, D Unay, T Tasdizen and M Cetin, Dendritic Spine Shape Analysis: A Clustering Perspective, ECCV BioImage Computing Workshop, 2016.
  3. T Liu, M Zhang, M Javanmardi , N Ramesh and T Tasdizen, SSHMT: Semi-supervised Hierarchical Merge Tree for Electron Microscopy Image Segmentation, ECCV 2016.
  4. M Sajjadi, M Javanmardi and T Tasdizen, Mutual exclusivity loss for semi-supervised deep learning, ICIP 2016.
  5. F Mesadi, M Cetin and T Tasdizen, Disjunctive Normal Level Set: An Efficient Parametric Implicit Method, ICIP 2016.
  6. M Elwardy, T Tasdizen and M Cetin, Disjunctive Normal Unsupervised LDA for P300-based Brain-Computer Interfaces, MLUB 2016.
  7. E Erdil, M Cetin and T Tasdizen, MCMC Shape Sampling for Image Segmentation with Nonparametric Shape Priors, CVPR 2016.
  8. E Erdil, L Rada, AO Argunsah, D Unay, T Tasdizen and M Cetin, Joint Nonparametric Shape And Feature Density Estimation For Segmentation Of Dendritic Spines, ISBI 2016.
  9. MU Ghani, AO Argunsah, I Israely, D Unay, T Tasdizen and M Cetin, On Comparison Of Manifold Learning Techniques For Dendritic Spine Classification, ISBI 2016.
  10. MU Ghani, F Mesadi, SD Kanik, AO Argunsah, I Israely, D Unay, T Tasdizen and M Cetin, Dendritic Spine Shape Analysis Using Disjunctive Normal Shape Models, ISBI 2016.
  11. F Mesadi, M Cetin and T Tasdizen, Disjunctive Normal Shape and Appearance Priors with Applications to Image Segmentation, MICCAI 2015.
  12. I Yilmaz, SD Kanik, T Tasdizen and M Cetin, Semi-supervised Adaptation of Motor Imagery Based BCI Systems, SIU 2015.
  13. MU Ghani, SD Kanik, AO Argunsah, T Tasdizen, D Unay and M Cetin, Dendritic Spine Shape Classification from Two-Photon Microscopy Images, SIU 2015.
  14. E Erdil, AO Argunsah, T Tasdizen, D Unay and M Cetin, A Joint Classification And Segmentation Approach For Dendritic Spine Segmentation In 2-Photon Microscopy Images, ISBI 2015.
  15. N Ramesh, F Mesadi, M Cetin and T Tasdizen, Disjunctive Normal Shape Model, ISBI 2015.
  16. N Ramesh and T Tasdizen, Cell Tracking Using Particle Filters With Implicit Convex Shape Model In 4D Confocal Microscopy Images, ICIP 2014.
  17. SM Seyedhosseini, M Sajjadi and T Tasdizen, Image Segmentation with Cascaded Hierarchical Models and Logistic Disjunctive Normal Networks, ICCV 2013.
  18. T Liu, SM Seyedhosseini, MH Ellisman and T Tasdizen, Watershed Merge Forest Classification For Electron Microscopy Image Stack Segmentation, ICIP 2013.
  19. N Ramesh and T Tasdizen, Three-Dimensional Alignment Of Confocal Microscopy Stacks, ICIP 2013.
  20. SM Seyedhosseini, RJ Giuly, MH Ellisman and T Tasdizen, Segmentation of Mitochondria In Electron Microscopy Images Using Algebraic Curves, ISBI 2013.
  21. C Jones, SM Seyedhosseini, MH Ellisman and T Tasdizen, Neuron Segmentation In Em Images Using Partial Differential Equations, ISBI 2013.
  22. C Jones, T Liu, MH Ellisman and T Tasdizen, Semi-Automatic Neuron Segmentation In Em Images Via Sparse Labeling, ISBI 2013.
  23. T Liu, S. M. Seyedhosseini, E Jurrus, M Ellisman and T Tasdizen, Watershed Merge Tree Classification for Electron Microscopy Image Segmentation, ICPR 2012.
  24. N Ramesh, ME Salama and T Tasdizen, Segmentation of Haematopoeitic Cells in Bone Marrow Using Circle Detection and Splitting Techniques, ISBI 2012.
  25. E Jurrus, S Watanabe, R Guily, ARC Paiva, M Ellisman, E Jorgensen, T Tasdizen, Semi-automated Neuron Boundary Detection and Slice Traversal Algorithm for Segmentation of Neurons from Electron Microscopy Images, Microscopic Image Analysis with Applications in Biology (MIAAB) Workshop, Chicago, August 1, 2011.
  26. S. M. Seyedhosseini, R. Kumar, E. Jurrus, R. Guily, M. Ellisman, H. Pfister and T. Tasdizen, ”Detection of Neuron Membranes in Electron Microscopy Images using Multi-scale Context and Radon-like Features,” MICCAI 2011.
  27. S. M. Seyedhosseini, A. R. C. Paiva and T. Tasdizen, ”Fast AdaBoost Training using Weighted Novelty Selection,” International Joint Conference on Neural Networks 2011.
  28. Z. Leng, J. Korenberg, B. Roysam and T. Tasdizen, ”A Rapid 2-D Centerline Extraction Method Based On Tensor Voting,” IEEE International Symposium on Biomedical Imaging (ISBI): From Nano to Macro, 2011.
  29. L. Hogrebe, A. Paiva, E. Jurrus, C. Christensen, M. Bridge, J. Korenberg and T. Tasdizen, ”Trace Driven Registration Of Neuron Confocal Microscopy Stacks,” IEEE International Symposium on Biomedical Imaging (ISBI): From Nano to Macro, 2011.
  30. A. R. C. Paiva and T. Tasdizen, ”Detection of Salient Image Points using Manifold Structure,” Int. Conf Pattern Recognition (ICPR) 2010.
  31. A. R. C. Paiva, E. Jurrus and T. Tasdizen, ”Using Sequential Context for Image Analysis,” Int. Conf Pattern Recognition (ICPR) 2010.
  32. G Adluru, T. Tasdizen, R. T. Whitaker and E. DiBella, ”Improving Undersampled MRI Reconstruction Using Non-Local Means,” Int. Conf Pattern Recognition (ICPR) 2010.
  33. S. M. Seyedhosseini, A. R. C. Paiva and T. Tasdizen, ”Image Parsing with a Three-State Series Neural Network Classifier,” Int. Conf Pattern Recognition (ICPR) 2010.
  34. S. K. Iyer, E. DiBella, T. Tasdizen, ”Edge enhanced spatio-temporal constrained reconstruction of undersampled dynamic contrast enhanced radial MRI,” IEEE International Symposium on Biomedical Imaging (ISBI): From Nano to Macro, 2010.
  35. A. Paiva and T. Tasdizen, ”Fast semi-supervised image segmentation by novelty selection,” ICASSP 2010.
  36. E. Jurrus, A. R. C. Paiva, S. Watanabe, R. Whitaker, E. M. Jorgensen and T. Tasdizen, ”Serial Neural Network Classifier for Membrane Detection using a Filter Bank,”  Microscopic Image Analysis with Applications in Biology, 2009.
  37. S. Gerber, T. Tasdizen and R. T. Whitaker, ”Dimensionality Reduction and Principal Surfaces via Kernel Map Manifolds,”  ICCV 2009.
  38. S. Gerber, T. Tasdizen, S. Joshi and R. T. Whitaker, ”On the Manifold Structure of the Space of Brain Images,” MICCAI 2009.
  39. K.. U. Venkataraju, A. Paiva, E. Jurrus. T. Tasdizen, ”Automatic Markup of Neural Cell Membranes using Boosted Decision Stumps,” IEEE International Symposium on Biomedical Imaging (ISBI): From Nano to Macro, 2009
  40. J. Anderson, B. Jones, J. H. Yang, M. Shaw, C. Watt, P. Koshevoy, J. Spaltenstein, E. Jurrus, K. U. Venkataraju, R. Whitaker, D. Mastronarde, T. Tasdizen, R. Marc, ”Ultrastructural mapping of neural circuitry: A computational framework,” IEEE International Symposium on Biomedical Imaging (ISBI): From Nano to Macro, 2009.
  41. T. Tasdizen , E. Jurrus and R. T. Whitaker, Non-uniform Illumination Correction in Transmission Electron Microscopy, MICCAI Workshop on Microscopic Image Analysis with Applications in Biology, 2008.
  42. T. TasdizenPrincipal Components for Non-Local Means Image Denoising, Proceedings of the IEEE International Conference on Image Processing, 2008.
  43. N. Sadeghi, N. L. Foster, A. Y. Wang, A. P. Lieberman and T. TasdizenAutomatic Classification of Alzheimer's Disease vs. Frontotemporal Dementia: A Spatial Decision Tree Aprroach with FDG-PET, Proceedings of IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Pages 408-411, 2008.
  44. E. Jurrus, R.T. Whitaker, B. W. Jones, R. E. Marc and T. TasdizenAn Optimal-Path Approach for Neural Circuit Reconstruction, Proceedings of IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Pages 1609-1612, 2008.
  45. S. Gerber, T. Tasdizen and R. Whitaker, “Robust Non-linear Dimensionality Reduction using Successive 1-Dimensional Laplacian Eigenmaps,” in Proceedings of International Conference on Machine Learning (ICML), Pages 281-288, 2007
  46. T. Tasdizen, Pavel A. Koshevoy, Bryan W. Jones, Ross T. Whitaker and Robert E. Marc, “Assembly of Three-Dimensional Volumes from Serial-Section Transmission Electron Microscopy,” Proceedings of MICCAI Workshop on Microscopic Image Analysis with Applications in Biology, pp 10-17, October 2006.
  47. Elizabeth Jurrus, T. Tasdizen, Pavel A. Koshevoy, Melissa Hardy, Chi-Bin Chien, Ross T. Whitaker, Winfred Denk, “Axon Tracking in Serial Block-Face Scanning Electron Microscopy” Proceedings of MICCAI Workshop on Microscopic Image Analysis with Applications in Biology, Pages 114-119, October 2006.
  48. Suyash P. Awate, Edward V. R. DiBella, T. Tasdizen and Ross Whitaker, ”Model-Based Image Reconstruction for Dynamic Cardiac Perfusion MRI from Sparse Data,” IEEE Int. Conf. Engineering and Biology Society (EMBC), Pages 936-941, 2006.
  49. Suyash P. Awate, T. Tasdizen and Ross T. Whitaker, “Unsupervised Texture Segmentation with Nonparametric Neighborhood Statistics,” European Conference on Computer Vision (ECCV), 2006.
  50. Joe M. Kniss, Robert Van Uitert, Abe Stephens, Guo-Shi Li, T. Tasdizen and Charles Hansen, “Statistically Quantitative Volume Visualization,” Proceedings of IEEE Visualization, 2006.
  51. T. Tasdizen, Suyash P. Awate, Ross T. Whitaker and Norman L. Foster, “MRI Tissue Classification with Neighborhood Statistics: A Nonparametric, Entropy-Minimizing Approach,” Proceedings of Medical Image Computing and Computer Assisted Intervention (MICCAI), Vol. 2, Pages 517-525, 2005.
  52. T. Tasdizen, Ross T. Whitaker, Robert E. Marc and Bryan W. Jones, “Enhancement of Cell Boundaries in Transmission Electron Microscopy Images,” Proceedings of International Conference on Image Processing (ICIP), Vol. 2, Pages 129-132, September 2005.
  53. Leo Grady and T. Tasdizen, “A Geometric Multigrid Approach to Solving the 2D Inhomogeneous Laplace Equation with Internal Drichlet Boundary Conditions,” Proceedings of International Conference on Image Processing (ICIP), Vol. 2, Pages 642-645, September 2005.
  54. T. Tasdizen and Ross T. Whitaker, “Anisotropic Diffusion of Surface Normals for Feature Preserving Surface Reconstruction”, Proceedings of 4th International Conference on 3D Digital Imaging and Modeling, Pages 353-360, October 2003.
  55. T. Tasdizen and Ross T. Whitaker, “Cramer-Rao Bounds for Nonparametric Surface Reconstruction from Range Data,” Proceedings of 4th International Conference on 3D Digital Imaging and Modeling, Pages 70-77, October 2003.
  56. T. Tasdizen and Ross T. Whitaker, “Feature Preserving Variational Smoothing of Terrain Data,” 2nd International IEEE Workshop on Variational, Geometric and Level Set Methods in Computer Vision, October 2003.
  57. Gordon Kindlmann, Ross T. Whitaker, T. Tasdizen and Torsten Miller, “Curvature-Based Transfer Functions for Direct Volume Rendering: Methods and Applications,” Proceedings of IEEE Visualization, Pages 513-520, October 2003. [HTML]
  58. Simon Premoze, T. Tasdizen, James Bigler, Aaron Lefohn and Ross T. Whitaker, “Particle-Base Simulation of Fluids,” Proceedings of Eurographics, Pages 401-410, September 2003. [HTML]
  59. M. Barzohar, L. Preminger. T. Tasdizen and David B. Cooper, “Robust Method for Completely Automatic Aerial Detection of Occluded Roads with New Initialization,” Proceedings of SPIE – Vol. 4820, Infrared Technology and Applications XXVII, Pages 688-698, January 2003.
  60. T. Tasdizen, Ross T. Whitaker. Paul Burchard and Stanley Osher, “Geometric Surface Smoothing via Anisotropic Diffusion of Normals” Proceedings of IEEE Visualization, Pages 125-132, October 2002.
  61. T. Tasdizen and David B. Cooper, “Boundary Estimation from Intensity/Color Images with Algebraic Curve Models,” Proceedings of 15th IEEE Computer Society International Conference on Pattern Recognition (ICPR), Vol. 1, Pages 225-228, September 2000, Best Student Paper Award Honorable Mention.
  62. T. Tasdizen, Jean-Philippe Tarel and David B. Cooper, “Algebraic Curves that Work Better,” Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Vol. 2, Pages35-41, June 1999.
  63. Zhibin Lei, T. Tasdizen and David B. Cooper, “PIMS and Invariant Parts for Shape Recognition,” Proceedings of 6th IEEE Computer Society International Conference on Computer Vision (ICCV), January 1997.
  64. Lale Akarun, T. Tasdizen and Cem Ersoy, “Genetik Algoritmalarla Renk Nicemlemesi,” SIU Bildiriler Kitabi, April 1997, in Turkish.

Abstracts

  1. SK Iyer, T Tasdizen, G Adluru and E DiBella, Fast Multicoil Total Variation Reconstruction of Cardiac Perfusion Images, ISMRM 2015
  2. AJ Perez, M Seyedhosseini, C Churas, K-Y Kim, M Hatori, EA Bushong, TJ Deerinck, H Le, S Panda, T Tasdizen, MH Ellisman, Workflows for the automatic segmentation and characterization of organelle morphology and distribution in electron microscopy image stacks, SfN 2014.
  3. AJ Perez, SM Seyedhosseini, T Tasdizen and MH Ellisman, Automated workflows for the morphological characterization of organelles in electron microscopy image stacks, Experimental Biology, 2014.
  4. SK Iyer, T Tasdizen, N Burgon, G Adluru and E Dibella, Fast Reconstruction of 3D LGE Images of the Left Atrium in a Compressed Sensing Framework using Split Bregman, ISMRM 2013.
  5. SK Iyer, T Tasdizen, D Likhite and E DiBella, Rapid TV-based reconstruction techniques for
    cardiac perfusion imaging, ISMRM, 2013.
  6. SK Iyer, T Tasdizen, G Adluru and E DiBella, A Block Reordering Technique in a Compressed Sensing Framework, ISMRM 2012.
  7. T Tasdizen, T Liu, M Seyedhosseini, E Jurrus and M Ellisman, Neuron Segmentation in Electron Microscopy Images, MASFOR 2012.
  8. T Liu, S. M. Seyedhosseini, E Jurrus and T Tasdizen, Neuron Segmentation in EM Images using Series of Classifiers and Watershed Tree, ISBI EM Segmentation Challenge Workshop, 2012.
  9. Seyedhosseini M, Shushruth S, Davis T, Greger B, Angelucci A, Tasdizen T, ”Identification of Novel Natural Images from LFP Signals in V1 Predicted by a Gabor Wavelet Pyramid Model,” SFN 2011.
  10. Shushruth S, Davis T, Tasdizen T, Ichida J, House P, Greger B, Angelucci A, ”LFP Signals Evoked by Natural Image Stimulation of the Far-Surround of V1 Neurons Carry Contrast-independent image-specific information,” SFN 2011.
  11. Shushruth S, Tasdizen T, Ichida JM, Angelucci A (2011). Surround signals in V1 evoked by natural images carry image specific information. Grand Challenges in Neural Computation, Santa Fe, NM
  12. J. Anderson, B. W. Jones, D. Mastronarde, P. Koshevoy, C.B. Watt, J. Yang, T. Tasdizen, R. Whittaker, J. Spaltenstein, R.E. Marc, ”The Retinal Connectome: Networks in the Amacrine Cell Layer”, The Association for Research in Vision and Ophthalmology (ARVO), 2009.
  13. E. Jurrus, T. Tasdizen , S. Watanabe, M. W. Davis, E. M. Jorgensen and R. T. Whitaker, Semi-automated reconstruction of the neuromuscular junctions in C. elegans, MICCAI Workshop on Microscopic Image Analysis with Applications in Biology, 2008.
  14. N. L. Foster, A. Y. Wang, T. Tasdizen , K. Chen, W. Jagust, R. A. Koeppe, E. Reiman, M. W. Weiner and S. Minoshima, Cerebral Hypometabolism suggesting Frontotemporal Dementia in an Alzheimer's Disease Clinical Trial, American Academy of Neurology, 2008.
  15. T. Fletcher, A. Wang, T. Tasdizen, K. Chen, W. Jagust, R. Koeppe, E. Reiman, M. Weiner, S. Minoshima, N. Foster, ”Variability of Normal Cerebral Glucose Metabolism from the Alzheimer’s Disease Neuroimaging Initiative: Implications for Clinical Trials,” American  Neurological Association Annual Meeting, 2007. 
  16. B. W. Jones, R. E. Marc, C. B. Watt, K. Kinardi, D. DeMill, J.H. Yang, T. Tasdizen, P. Koshevoy, E. Jurrus and R. T. Whitaker, “Structure and Function of Microneuromas in Retinal Remodeling,” The Association for Research in Vision and Ophthalmology (ARVO) abstract, 2007.
  17. Won-Ki jeong, T. Tasdizen and Ross T. Whitaker, “Feature Preserving Smoothing of Height Field Data using Multigrid Solver on GPU,” Proceedings of ACM Workshop on General Purpose Computing on Graphics Processors, 2004.
  18. G. Kindlmann, A. L. Alexander, M. Lazar, J. Lee, T. Tasdizen and R. T. Whitaker, “An Algorithm for Moment-Based Global Registration of Echo Planar Diffusion-Weighted Images,” Proceedings of 12th Annual ISMRM, Pages 2200, 2004.
  19. J. Zhou, D. P. Lopresti and T. Tasdizen, “Finding Text in Color Images,” SPIE Document Recognition V, April 1998.
  20. Zhibin Lei, T. Tasdizen and David B. Cooper, “Object Signature Curve and Invariant Shape Patches for Geometric Indexing into Pictorial Databases,” Multimedia Storage and Archiving Systems II, SPIE International Symposium and Education Program on Voice, Video and Data Communications, November 1997.
Ph.D. Dissertation
Advisor: David B. Cooper
Robust And Repeatable Fitting of Implicit Polynomial Curves to Point Data Sets and to Intensity Images, download as compressed postscipt file

Technical Reports