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2020 – today
- 2022
[j32]Quynh C. Nguyen
, Thomas W. Belnap, Pallavi Dwivedi, Amir Hossein Nazem Deligani, Abhinav Kumar, Dapeng Li, Ross T. Whitaker, Jessica Keralis, Heran Mane, Xiaohe Yue, Thu T. Nguyen, Tolga Tasdizen, Kim D. Brunisholz:
Google Street View Images as Predictors of Patient Health Outcomes, 2017-2019. Big Data Cogn. Comput. 6(1): 15 (2022)- [c69]Mitra Alirezaei, Tolga Tasdizen:
Adversarial Robust Classification by Conditional Generative Model Inversion. ICMLC 2022: 152-158 - [c68]Bodong Zhang, Beatrice Knudsen, Deepika Sirohi, Alessandro Ferrero, Tolga Tasdizen:
Stain Based Contrastive Co-training for Histopathological Image Analysis. MILLanD@MICCAI 2022: 106-116 - [i24]Mitra Alirezaei, Tolga Tasdizen:
Adversarially Robust Classification by Conditional Generative Model Inversion. CoRR abs/2201.04733 (2022) - [i23]Bodong Zhang, Beatrice Knudsen, Deepika Sirohi, Alessandro Ferrero, Tolga Tasdizen:
Stain based contrastive co-training for histopathological image analysis. CoRR abs/2206.12505 (2022) - [i22]Ricardo Bigolin Lanfredi, Joyce D. Schroeder, Tolga Tasdizen:
Localization supervision of chest x-ray classifiers using label-specific eye-tracking annotation. CoRR abs/2207.09771 (2022) - 2021
- [j31]Vahid Keshavarzzadeh, Mitra Alirezaei, Tolga Tasdizen, Robert M. Kirby:
Image-Based Multiresolution Topology Optimization Using Deep Disjunctive Normal Shape Model. Comput. Aided Des. 130: 102947 (2021) - [i21]Ricardo Bigolin Lanfredi, Mingyuan Zhang, William F. Auffermann, Jessica Chan, Phuong-Anh T. Duong, Vivek Srikumar, Trafton Drew, Joyce D. Schroeder, Tolga Tasdizen:
REFLACX, a dataset of reports and eye-tracking data for localization of abnormalities in chest x-rays. CoRR abs/2109.14187 (2021) - [i20]Ricardo Bigolin Lanfredi, Ambuj Arora, Trafton Drew, Joyce D. Schroeder, Tolga Tasdizen:
Comparing radiologists' gaze and saliency maps generated by interpretability methods for chest x-rays. CoRR abs/2112.11716 (2021) - 2020
- [j30]Mehran Javanmardi, Dina Huang, Pallavi Dwivedi, Sahil Khanna, Kim D. Brunisholz, Ross T. Whitaker, Quynh C. Nguyen, Tolga Tasdizen:
Analyzing Associations Between Chronic Disease Prevalence and Neighborhood Quality Through Google Street View Images. IEEE Access 8: 6407-6416 (2020) - [j29]Wenguang Yuan, Jia Wei, Jiabing Wang, Qianli Ma, Tolga Tasdizen:
Unified generative adversarial networks for multimodal segmentation from unpaired 3D medical images. Medical Image Anal. 64: 101731 (2020) - [j28]Yunjun Xiao, Jia Wei, Jiabing Wang, Qianli Ma, Shandian Zhe, Tolga Tasdizen:
Graph constraint-based robust latent space low-rank and sparse subspace clustering. Neural Comput. Appl. 32(12): 8187-8204 (2020) - [j27]Mohammad Mehdi Hosseini, Amarachi Umunnakwe, Masood Parvania, Tolga Tasdizen:
Intelligent Damage Classification and Estimation in Power Distribution Poles Using Unmanned Aerial Vehicles and Convolutional Neural Networks. IEEE Trans. Smart Grid 11(4): 3325-3333 (2020) - [c67]Zhaotao Wu, Jia Wei, Wenguang Yuan, Jiabing Wang, Tolga Tasdizen:
Inter-Slice Image Augmentation Based on Frame Interpolation for Boosting Medical Image Segmentation Accuracy. ECAI 2020: 1954-1961 - [c66]Ricardo Bigolin Lanfredi, Joyce D. Schroeder, Clement Vachet, Tolga Tasdizen:
Interpretation of Disease Evidence for Medical Images Using Adversarial Deformation Fields. MICCAI (2) 2020: 738-748 - [i19]Zhaotao Wu, Jia Wei, Wenguang Yuan, Jiabing Wang, Tolga Tasdizen:
Inter-slice image augmentation based on frame interpolation for boosting medical image segmentation accuracy. CoRR abs/2001.11698 (2020) - [i18]Ricardo Bigolin Lanfredi, Joyce D. Schroeder, Clement Vachet, Tolga Tasdizen:
Interpretation of Disease Evidence for Medical Images Using Adversarial Deformation Fields. CoRR abs/2007.01975 (2020) - [i17]Ricardo Bigolin Lanfredi, Joyce D. Schroeder, Tolga Tasdizen:
Quantifying the Preferential Direction of the Model Gradient in Adversarial Training With Projected Gradient Descent. CoRR abs/2009.04709 (2020)
2010 – 2019
- 2019
- [j26]Ertunc Erdil, Sinan Yildirim, Tolga Tasdizen, Müjdat Çetin:
Pseudo-Marginal MCMC Sampling for Image Segmentation Using Nonparametric Shape Priors. IEEE Trans. Image Process. 28(11): 5702-5715 (2019) - [j25]Nisha Ramesh, Tolga Tasdizen:
Cell Segmentation Using a Similarity Interface With a Multi-Task Convolutional Neural Network. IEEE J. Biomed. Health Informatics 23(4): 1457-1468 (2019) - [c65]Ertunc Erdil, Ali Ozgur Argunsah, Tolga Tasdizen, Devrim Ünay, Müjdat Çetin:
Combining Nonparametric Spatial Context Priors With Nonparametric Shape Priors for Dendritic Spine Segmentation in 2-Photon Microscopy Images. ISBI 2019: 204-207 - [c64]Wenguang Yuan, Jia Wei, Jiabing Wang, Qianli Ma, Tolga Tasdizen:
Unified Attentional Generative Adversarial Network for Brain Tumor Segmentation from Multimodal Unpaired Images. MICCAI (3) 2019: 229-237 - [c63]Ricardo Bigolin Lanfredi, Joyce D. Schroeder, Clement Vachet, Tolga Tasdizen:
Adversarial Regression Training for Visualizing the Progression of Chronic Obstructive Pulmonary Disease with Chest X-Rays. MICCAI (6) 2019: 685-693 - [i16]Ertunc Erdil, Ali Ozgur Argunsah, Tolga Tasdizen, Devrim Ünay, Müjdat Çetin:
Combining nonparametric spatial context priors with nonparametric shape priors for dendritic spine segmentation in 2-phoyon microscopy images. CoRR abs/1901.02513 (2019) - [i15]Wenguang Yuan, Jia Wei, Jiabing Wang, Qianli Ma, Tolga Tasdizen:
Unified Attentional Generative Adversarial Network for Brain Tumor Segmentation From Multimodal Unpaired Images. CoRR abs/1907.03548 (2019) - [i14]Ricardo Bigolin Lanfredi, Joyce D. Schroeder, Clement Vachet, Tolga Tasdizen:
Adversarial regression training for visualizing the progression of chronic obstructive pulmonary disease with chest x-rays. CoRR abs/1908.10468 (2019) - 2018
- [j24]Fitsum Mesadi, Ertunc Erdil, Müjdat Çetin, Tolga Tasdizen:
Image Segmentation Using Disjunctive Normal Bayesian Shape and Appearance Models. IEEE Trans. Medical Imaging 37(1): 293-305 (2018) - [c62]Mehran Javanmardi, Ricardo Bigolin Lanfredi, Müjdat Çetin, Tolga Tasdizen:
Image Segmentation by Deep Learning of Disjunctive Normal Shape Model Shape Representation. CVPR Workshops 2018: 375-382 - [c61]Tolga Tasdizen, Mehdi Sajjadi, Mehran Javanmardi, Nisha Ramesh:
Improving the robustness of convolutional networks to appearance variability in biomedical images. ISBI 2018: 549-553 - [c60]Mehran Javanmardi, Tolga Tasdizen:
Domain adaptation for biomedical image segmentation using adversarial training. ISBI 2018: 554-558 - [c59]Nisha Ramesh, Tolga Tasdizen:
Semi-supervised learning for cell tracking in microscopy images. ISBI 2018: 948-951 - [c58]Devi Ayyagari, Nisha Ramesh, Dimitri Yatsenko, Tolga Tasdizen, Cristain Atria:
Image reconstruction using priors from deep learning. Medical Imaging: Image Processing 2018: 105740H - [i13]Ertunc Erdil, Sinan Yildirim, Tolga Tasdizen, Müjdat Çetin:
Image Segmentation with Pseudo-marginal MCMC Sampling and Nonparametric Shape Priors. CoRR abs/1809.00488 (2018) - 2017
- [j23]Jun Zhu, An-An Liu, Mei Chen, Tolga Tasdizen, Hang Su:
Special Issue on Biomedical Big Data: Understanding, Learning and Applications. IEEE Trans. Big Data 3(4): 375-377 (2017) - [j22]Fitsum Mesadi, Müjdat Çetin, Tolga Tasdizen:
Disjunctive Normal Parametric Level Set With Application to Image Segmentation. IEEE Trans. Image Process. 26(6): 2618-2631 (2017) - [j21]Ertunc Erdil, Muhammad Usman Ghani, Lavdie Rada, Ali Ozgur Argunsah, Devrim Ünay, Tolga Tasdizen, Müjdat Çetin:
Nonparametric Joint Shape and Feature Priors for Image Segmentation. IEEE Trans. Image Process. 26(11): 5312-5323 (2017) - [c57]Ertunc Erdil, Fitsum Mesadi, Tolga Tasdizen, Müjdat Çetin:
Disjunctive Normal Shape Boltzmann Machine. ICASSP 2017: 2357-2361 - [i12]Tolga Tasdizen, Mehdi Sajjadi, Mehran Javanmardi, Nisha Ramesh:
Appearance invariance in convolutional networks with neighborhood similarity. CoRR abs/1707.00755 (2017) - 2016
- [j20]Mehdi Sajjadi, Mojtaba Seyedhosseini, Tolga Tasdizen:
Disjunctive normal networks. Neurocomputing 218: 276-285 (2016) - [j19]Mojtaba Seyedhosseini, Tolga Tasdizen:
Semantic Image Segmentation with Contextual Hierarchical Models. IEEE Trans. Pattern Anal. Mach. Intell. 38(5): 951-964 (2016) - [j18]Ting Liu, Mojtaba Seyedhosseini, Tolga Tasdizen:
Image Segmentation Using Hierarchical Merge Tree. IEEE Trans. Image Process. 25(10): 4596-4607 (2016) - [c56]Ertunc Erdil, Sinan Yildirim, Müjdat Çetin, Tolga Tasdizen:
MCMC Shape Sampling for Image Segmentation with Nonparametric Shape Priors. CVPR 2016: 411-419 - [c55]Ting Liu, Miaomiao Zhang, Mehran Javanmardi, Nisha Ramesh, Tolga Tasdizen:
SSHMT: Semi-supervised Hierarchical Merge Tree for Electron Microscopy Image Segmentation. ECCV (1) 2016: 144-159 - [c54]Muhammad Usman Ghani, Ertunç Erdil, Sümeyra Demir Kanik, Ali Özgür Argunsah, Anna Felicity Hobbiss, Inbal Israely, Devrim Ünay, Tolga Tasdizen, Müjdat Çetin:
Dendritic Spine Shape Analysis: A Clustering Perspective. ECCV Workshops (1) 2016: 256-273 - [c53]Mehdi Sajjadi, Mehran Javanmardi, Tolga Tasdizen:
Mutual exclusivity loss for semi-supervised deep learning. ICIP 2016: 1908-1912 - [c52]Fitsum Mesadi, Müjdat Çetin, Tolga Tasdizen:
Disjunctive normal level set: An efficient parametric implicit method. ICIP 2016: 4299-4303 - [c51]Muhammad Usman Ghani, Ali Ozgur Argunsah, Inbal Israely, Devrim Ünay, Tolga Tasdizen, Müjdat Çetin:
On comparison of manifold learning techniques for dendritic spine classification. ISBI 2016: 339-342 - [c50]Ertunc Erdil, Lavdie Rada, Ali Ozgur Argunsah, Inbal Israely, Devrim Ünay, Tolga Tasdizen, Müjdat Çetin:
Nonparametric joint shape and feature priors for segmentation of dendritic spines. ISBI 2016: 343-346 - [c49]Muhammad Usman Ghani, Fitsum Mesadi, Sumeyra Demir Kanik, Ali Ozgur Argunsah, Inbal Israely, Devrim Ünay, Tolga Tasdizen, Müjdat Çetin:
Dendritic spine shape analysis using disjunctive normal shape models. ISBI 2016: 347-350 - [c48]Mehdi Sajjadi, Mehran Javanmardi, Tolga Tasdizen:
Regularization With Stochastic Transformations and Perturbations for Deep Semi-Supervised Learning. NIPS 2016: 1163-1171 - [c47]Majed Elwardy, Tolga Tasdizen, Müjdat Çetin:
Disjunctive normal unsupervised LDA for P300-based brain-computer interfaces. SIU 2016: 2261-2264 - [i11]Mehran Javanmardi, Mehdi Sajjadi, Ting Liu, Tolga Tasdizen:
Unsupervised Total Variation Loss for Semi-supervised Deep Learning of Semantic Segmentation. CoRR abs/1605.01368 (2016) - [i10]Mehdi Sajjadi, Mehran Javanmardi, Tolga Tasdizen:
Mutual Exclusivity Loss for Semi-Supervised Deep Learning. CoRR abs/1606.03141 (2016) - [i9]Mehdi Sajjadi, Mehran Javanmardi, Tolga Tasdizen:
Regularization With Stochastic Transformations and Perturbations for Deep Semi-Supervised Learning. CoRR abs/1606.04586 (2016) - [i8]Fitsum Mesadi, Tolga Tasdizen:
Convex Decomposition And Efficient Shape Representation Using Deformable Convex Polytopes. CoRR abs/1606.07509 (2016) - [i7]Fitsum Mesadi, Müjdat Çetin, Tolga Tasdizen:
Disjunctive Normal Level Set: An Efficient Parametric Implicit Method. CoRR abs/1606.07511 (2016) - [i6]Muhammad Usman Ghani, Ertunc Erdil, Sumeyra Demir Kanik, Ali Ozgur Argunsah, Anna Felicity Hobbiss, Inbal Israely, Devrim Ünay, Tolga Tasdizen, Müjdat Çetin:
Dendritic Spine Shape Analysis: A Clustering Perspective. CoRR abs/1607.05523 (2016) - [i5]Ting Liu, Miaomiao Zhang, Mehran Javanmardi, Nisha Ramesh, Tolga Tasdizen:
SSHMT: Semi-supervised Hierarchical Merge Tree for Electron Microscopy Image Segmentation. CoRR abs/1608.04051 (2016) - [i4]Ertunc Erdil, Sinan Yildirim, Müjdat Çetin, Tolga Tasdizen:
MCMC Shape Sampling for Image Segmentation with Nonparametric Shape Priors. CoRR abs/1611.03749 (2016) - 2015
- [j17]Mojtaba Seyedhosseini, Tolga Tasdizen:
Disjunctive normal random forests. Pattern Recognit. 48(3): 976-983 (2015) - [j16]Mehdi Sajjadi, Mojtaba Seyedhosseini, Tolga Tasdizen:
Nonlinear Regression with Logistic Product Basis Networks. IEEE Signal Process. Lett. 22(8): 1011-1015 (2015) - [c46]Ertunc Erdil, Ali Ozgur Argunsah, Tolga Tasdizen, Devrim Ünay, Müjdat Çetin:
A joint classification and segmentation approach for dendritic spine segmentation in 2-photon microscopy images. ISBI 2015: 797-800 - [c45]Nisha Ramesh, Fitsum Mesadi, Müjdat Çetin, Tolga Tasdizen:
Disjunctive normal shape models. ISBI 2015: 1535-1539 - [c44]Fitsum Mesadi, Müjdat Çetin, Tolga Tasdizen:
Disjunctive Normal Shape and Appearance Priors with Applications to Image Segmentation. MICCAI (3) 2015: 703-710 - [c43]Muhammad Usman Ghani, Sumeyra Demir Kanik, Ali Ozgur Argunsah, Tolga Tasdizen, Devrim Ünay, Müjdat Çetin:
Dendritic spine shape classification from two-photon microscopy images. SIU 2015: 939-942 - [c42]Ismail Yilmaz, Sumeyra Demir Kanik, Tolga Tasdizen, Müjdat Çetin:
Semi-supervised adaptation of motor imagery based BCI systems. SIU 2015: 1841-1844 - [i3]Ting Liu, Mojtaba Seyedhosseini, Tolga Tasdizen:
Image Segmentation Using Hierarchical Merge Tree. CoRR abs/1505.06389 (2015) - 2014
- [c41]Nisha Ramesh, Tolga Tasdizen:
Cell tracking using particle filters with implicit convex shape model in 4D confocal microscopy images. ICIP 2014: 446-450 - [i2]Mojtaba Seyedhosseini, Tolga Tasdizen:
Scene Labeling with Contextual Hierarchical Models. CoRR abs/1402.0595 (2014) - [i1]Mehdi Sajjadi, Mojtaba Seyedhosseini, Tolga Tasdizen:
Disjunctive Normal Networks. CoRR abs/1412.8534 (2014) - 2013
- [j15]Elizabeth Jurrus, Shigeki Watanabe, Richard J. Giuly, António R. C. Paiva, Mark H. Ellisman, Erik M. Jorgensen, Tolga Tasdizen:
Semi-Automated Neuron Boundary Detection and Nonbranching Process Segmentation in Electron Microscopy Images. Neuroinformatics 11(1): 5-29 (2013) - [j14]Mojtaba Seyedhosseini, Tolga Tasdizen:
Multi-Class Multi-Scale Series Contextual Model for Image Segmentation. IEEE Trans. Image Process. 22(11): 4486-4496 (2013) - [c40]Mojtaba Seyedhosseini, Mehdi Sajjadi, Tolga Tasdizen:
Image Segmentation with Cascaded Hierarchical Models and Logistic Disjunctive Normal Networks. ICCV 2013: 2168-2175 - [c39]Nisha Ramesh, Hideo Otsuna, Tolga Tasdizen:
Three-dimensional alignment and merging of confocal microscopy stacks. ICIP 2013: 1447-1450 - [c38]Ting Liu, Mojtaba Seyedhosseini, Mark H. Ellisman, Tolga Tasdizen:
Watershed merge forest classification for electron microscopy image stack segmentation. ICIP 2013: 4069-4073 - [c37]Mojtaba Seyedhosseini, Mark H. Ellisman, Tolga Tasdizen:
Segmentation of mitochondria in electron microscopy images using algebraic curves. ISBI 2013: 860-863 - [c36]Cory Jay Jones, Ting Liu, Mark H. Ellisman, Tolga Tasdizen:
Semi-automatic neuron segmentation in electron microscopy images via sparse labeling. ISBI 2013: 1304-1307 - [c35]Cory Jay Jones, Mojtaba Seyedhosseini, Mark H. Ellisman, Tolga Tasdizen:
Neuron segmentation in electron microscopy images using partial differential equations. ISBI 2013: 1457-1460 - 2012
- [j13]António R. C. Paiva, Tolga Tasdizen:
Fingerprint Image Segmentation using Data Manifold Characteristic Features. Int. J. Pattern Recognit. Artif. Intell. 26(4) (2012) - [c34]Ting Liu, Elizabeth Jurrus, Mojtaba Seyedhosseini, Mark H. Ellisman, Tolga Tasdizen:
Watershed merge tree classification for electron microscopy image segmentation. ICPR 2012: 133-137 - [c33]Nisha Ramesh, Mohamed E. Salama, Tolga Tasdizen:
Segmentation of haematopoeitic cells in bone marrow using circle detection and splitting techniques. ISBI 2012: 206-209 - 2011
- [c32]Mojtaba Seyedhosseini, António R. C. Paiva, Tolga Tasdizen:
Fast AdaBoost training using weighted novelty selection. IJCNN 2011: 1245-1250 - [c31]Zhe Leng, Julie R. Korenberg, Badri Roysam, Tolga Tasdizen:
A rapid 2-D centerline extraction method based on tensor voting. ISBI 2011: 1000-1003 - [c30]Luke Hogrebe, António R. C. Paiva, Elizabeth Jurrus, Cameron Christensen, Michael Bridge, Julie R. Korenberg, Tolga Tasdizen:
Trace driven registration of neuron confocal microscopy stacks. ISBI 2011: 1345-1348 - [c29]Mojtaba Seyedhosseini, Ritwik Kumar, Elizabeth Jurrus, Rick Giuly, Mark H. Ellisman, Hanspeter Pfister, Tolga Tasdizen:
Detection of Neuron Membranes in Electron Microscopy Images Using Multi-scale Context and Radon-Like Features. MICCAI (1) 2011: 670-677 - 2010
- [j12]Samuel Gerber, Tolga Tasdizen, P. Thomas Fletcher, Sarang C. Joshi, Ross T. Whitaker:
Manifold modeling for brain population analysis. Medical Image Anal. 14(5): 643-653 (2010) - [j11]Elizabeth Jurrus, António R. C. Paiva, Shigeki Watanabe, James R. Anderson, Bryan W. Jones, Ross T. Whitaker, Erik M. Jorgensen, Robert Marc, Tolga Tasdizen:
Detection of neuron membranes in electron microscopy images using a serial neural network architecture. Medical Image Anal. 14(6): 770-783 (2010) - [c28]António R. C. Paiva, Tolga Tasdizen:
Fast semi-supervised image segmentation by novelty selection. ICASSP 2010: 1054-1057 - [c27]António R. C. Paiva, Tolga Tasdizen:
Detection of Salient Image Points Using Principal Subspace Manifold Structure. ICPR 2010: 1389-1392 - [c26]António R. C. Paiva, Elizabeth Jurrus, Tolga Tasdizen:
Using Sequential Context for Image Analysis. ICPR 2010: 2800-2803 - [c25]Ganesh Adluru, Tolga Tasdizen, Ross T. Whitaker, Edward V. R. Di Bella:
Improving Undersampled MRI Reconstruction Using Non-local Means. ICPR 2010: 4000-4003 - [c24]Mojtaba Seyedhosseini, António R. C. Paiva, Tolga Tasdizen:
Image Parsing with a Three-State Series Neural Network Classifier. ICPR 2010: 4508-4511 - [c23]Srikant K. Iyer, Edward V. R. Di Bella, Tolga Tasdizen:
Edge enhanced spatio-temporal constrained reconstruction of undersampled dynamic contrast enhanced radial MRI. ISBI 2010: 704-707
2000 – 2009
- 2009
- [j10]Elizabeth Jurrus, Melissa Hardy, Tolga Tasdizen, P. Thomas Fletcher, Pavel Koshevoy, Chi-Bin Chien, Winfried Denk, Ross T. Whitaker:
Axon tracking in serial block-face scanning electron microscopy. Medical Image Anal. 13(1): 180-188 (2009) - [j9]J. Samuel Preston, Tolga Tasdizen, Christi M. Terry, Alfred K. Cheung, Robert M. Kirby:
Using the Stochastic Collocation Method for the Uncertainty Quantification of Drug Concentration Due to Depot Shape Variability. IEEE Trans. Biomed. Eng. 56(3): 609-620 (2009) - [j8]Tolga Tasdizen:
Principal Neighborhood Dictionaries for Nonlocal Means Image Denoising. IEEE Trans. Image Process. 18(12): 2649-2660 (2009) - [c22]Samuel Gerber, Tolga Tasdizen, Ross T. Whitaker:
Dimensionality reduction and principal surfaces via Kernel Map Manifolds. ICCV 2009: 529-536 - [c21]Kannan Umadevi Venkataraju, António R. C. Paiva, Elizabeth Jurrus, Tolga Tasdizen:
Automatic Markup of Neural Cell Membranes Using Boosted Decision Stumps. ISBI 2009: 1039-1042 - [c20]James R. Anderson, Bryan W. Jones, Jia-Hui Yang, Maggie V. Shaw, Carl B. Watt, Paul Koshevoy, Joël Spaltenstein, Elizabeth Jurrus, Kannan Umadevi Venkataraju, Ross T. Whitaker, David N. Mastronarde, Tolga Tasdizen, Robert Marc:
Ultrastructural Mapping of Neural Circuitry: A Computational Framework. ISBI 2009: 1135-1137 - [c19]Samuel Gerber, Tolga Tasdizen, Sarang C. Joshi, Ross T. Whitaker:
On the Manifold Structure of the Space of Brain Images. MICCAI (1) 2009: 305-312 - 2008
- [c18]Tolga Tasdizen:
Principal components for non-local means image denoising. ICIP 2008: 1728-1731 - [c17]Neda Sadeghi, Norman L. Foster, Angela Y. Wang, Satoshi Minoshima, Andrew P. Lieberman, Tolga Tasdizen:
Automatic classification of Alzheimer's Disease vs. Frontotemporal dementia: A spatial decision tree approach with FDG-PET. ISBI 2008: 408-411 - [c16]Elizabeth Jurrus, Ross T. Whitaker, Bryan W. Jones, Robert Marc, Tolga Tasdizen:
An optimal-path approach for neural circuit reconstruction. ISBI 2008: 1609-1612 - 2007
- [j7]Oliver Nemitz, Martin Rumpf, Tolga Tasdizen, Ross T. Whitaker:
Anisotropic Curvature Motion for Structure Enhancing Smoothing of 3D MR Angiography Data. J. Math. Imaging Vis. 27(3): 217-229 (2007) - [c15]Samuel Gerber, Tolga Tasdizen, Ross T. Whitaker:
Robust non-linear dimensionality reduction using successive 1-dimensional Laplacian Eigenmaps. ICML 2007: 281-288 - 2006
- [j6]Suyash P. Awate, Tolga Tasdizen, Norman L. Foster, Ross T. Whitaker:
Adaptive Markov modeling for mutual-information-based, unsupervised MRI brain-tissue classification. Medical Image Anal. 10(5): 726-739 (2006) - [c14]Suyash P. Awate, Tolga Tasdizen, Ross T. Whitaker:
Unsupervised Texture Segmentation with Nonparametric Neighborhood Statistics. ECCV (2) 2006: 494-507 - [c13]Suyash P. Awate, Edward V. R. DiBella, Tolga Tasdizen, Ross T. Whitaker:
Model-Based Image Reconstruction for Dynamic Cardiac Perfusion MRI from Sparse Data. EMBC 2006: 936-941 - 2005
- [c12]Tolga Tasdizen, Ross T. Whitaker, Robert Marc, Bryan W. Jones:
Enhancement of cell boundaries in transmission electron microscopy images. ICIP (2) 2005: 129-132 - [c11]Leo J. Grady, Tolga Tasdizen, Ross T. Whitaker:
A geometric multigrid approach to solving the 2D inhomogeneous Laplace equation with internal Dirichlet boundary conditions. ICIP (2) 2005: 642-645 - [c10]Tolga Tasdizen, Suyash P. Awate, Ross T. Whitaker, Norman L. Foster:
MRI Tissue Classification with Neighborhood Statistics: A Nonparametric, Entropy-Minimizing Approach. MICCAI (2) 2005: 517-525 - [c9]Joe Michael Kniss, Robert L. Van Uitert Jr., Abraham Stephens, Guo-Shi Li, Tolga Tasdizen, Charles D. Hansen:
Statistically Quantitative Volume Visualization. IEEE Visualization 2005: 287-294 - 2004
- [j5]