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2020 – today
- 2024
[c73]Man Minh Ho, Elham Ghelichkhan, Yosep Chong, Yufei Zhou, Beatrice Knudsen, Tolga Tasdizen:
DISC: Latent Diffusion Models with Self-Distillation from Separated Conditions for Prostate Cancer Grading. ISBI 2024: 1-5- [c72]Mingzhen Shao, Tolga Tasdizen, Sarang C. Joshi:
Analyzing the Domain Shift Immunity of Deep Homography Estimation. WACV 2024: 4788-4796 - [i33]Man Minh Ho, Shikha Dubey, Yosep Chong, Beatrice Knudsen, Tolga Tasdizen:
F2FLDM: Latent Diffusion Models with Histopathology Pre-Trained Embeddings for Unpaired Frozen Section to FFPE Translation. CoRR abs/2404.12650 (2024) - [i32]Man Minh Ho, Elham Ghelichkhan, Yosep Chong, Yufei Zhou, Beatrice Knudsen, Tolga Tasdizen:
DISC: Latent Diffusion Models with Self-Distillation from Separated Conditions for Prostate Cancer Grading. CoRR abs/2404.13097 (2024) - [i31]Xiaoya Tang, Bodong Zhang, Beatrice S. Knudsen, Tolga Tasdizen:
DuoFormer: Leveraging Hierarchical Visual Representations by Local and Global Attention. CoRR abs/2407.13920 (2024) - [i30]Harshit, Tolga Tasdizen:
VISTA: A Visual and Textual Attention Dataset for Interpreting Multimodal Models. CoRR abs/2410.04609 (2024) - [i29]Hamid Manoochehri, Bodong Zhang, Beatrice S. Knudsen, Tolga Tasdizen:
PathMoCo: A Novel Framework to Improve Feature Embedding in Self-supervised Contrastive Learning for Histopathological Images. CoRR abs/2410.17514 (2024) - [i28]Xiwen Li, Rehman Mohammed, Tristalee Mangin, Surojit Saha, Ross T. Whitaker, Kerry E. Kelly, Tolga Tasdizen:
Joint Audio-Visual Idling Vehicle Detection with Streamlined Input Dependencies. CoRR abs/2410.21170 (2024) - [i27]Xiaoya Tang, Jake Berquist, Benjamin Steinberg, Tolga Tasdizen:
Hierarchical Transformer for Electrocardiogram Diagnosis. CoRR abs/2411.00755 (2024) - 2023
- [j34]Mitra Alirezaei
, Quynh C. Nguyen, Ross T. Whitaker, Tolga Tasdizen:
Multi-Task Classification for Improved Health Outcome Prediction Based on Environmental Indicators. IEEE Access 11: 73330-73339 (2023) - [j33]Ricardo Bigolin Lanfredi, Joyce D. Schroeder, Tolga Tasdizen:
Quantifying the preferential direction of the model gradient in adversarial training with projected gradient descent. Pattern Recognit. 139: 109430 (2023) - [c71]Jake A. Bergquist, Brian Zenger, James N. Brundage, Rob S. MacLeod, Rashmee Shah, Xiangyang Ye, Ann Lyones, Ravi Ranjan, Tolga Tasdizen, T. Jared Bunch, Benjamin Steinberg:
Comparison of Machine Learning Detection of Low Left Ventricular Ejection Fraction Using Individual ECG Leads. CinC 2023: 1-4 - [c70]Bram Hunt, Eugene Kwan, Tolga Tasdizen, Jake Bergquist, Matthias Lange, Benjamin A. Orkild, Robert S. MacLeod, Derek J. Dosdall, Ravi Ranjan:
Transfer Learning for Improved Classification of Drivers in Atrial Fibrillation. CinC 2023: 1-4 - [i26]Mingzhen Shao, Tolga Tasdizen, Sarang C. Joshi:
Analyzing the Domain Shift Immunity of Deep Homography Estimation. CoRR abs/2304.09976 (2023) - [i25]Bodong Zhang, Hamid Manoochehri, Man Minh Ho, Fahimeh Fooladgar, Yosep Chong, Beatrice S. Knudsen, Deepika Sirohi, Tolga Tasdizen:
CLASS-M: Adaptive stain separation-based contrastive learning with pseudo-labeling for histopathological image classification. CoRR abs/2312.06978 (2023) - 2022
- [j32]Quynh C. Nguyen, Thomas W. Belnap, Pallavi Dwivedi, Amir Hossein Nazem Deligani, Abhinav Kumar, Dapeng Li, Ross T. Whitaker, Jessica M. 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. 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]Tolga Tasdizen, Ross T. Whitaker:
Higher-Order Nonlinear Priors for Surface Reconstruction. IEEE Trans. Pattern Anal. Mach. Intell. 26(7): 878-891 (2004) - 2003
- [j4]Simon Premoze, Tolga Tasdizen, James Bigler, Aaron E. Lefohn, Ross T. Whitaker:
Particle-Based Simulation of Fluids. Comput. Graph. Forum 22(3): 401-410 (2003) - [j3]Tolga Tasdizen, Ross T. Whitaker, Paul Burchard, Stanley J. Osher:
Geometric surface processing via normal maps. ACM Trans. Graph. 22(4): 1012-1033 (2003) - [c8]Tolga Tasdizen, Ross T. Whitaker:
Cramer-Rao Bounds for Nonparametric Surface Reconstruction from Range Data. 3DIM 2003: 70-78 - [c7]Tolga Tasdizen, Ross T. Whitaker:
Anisotropic diffusion of surface normals for feature preserving surface reconstruction. 3DIM 2003: 353-360 - [c6]Gordon L. Kindlmann, Ross T. Whitaker, Tolga Tasdizen, Torsten Möller:
Curvature-Based Transfer Functions for Direct Volume Rendering: Methods and Applications. IEEE Visualization 2003: 513-520 - 2002
- [c5]Tolga Tasdizen, Ross T. Whitaker, Paul Burchard, Stanley J. Osher:
Geometric Surface Smoothing via Anisotropic Diffusion of Normals. IEEE Visualization 2002: 125-132 - 2000
- [j2]Tolga Tasdizen, Jean-Philippe Tarel, David B. Cooper:
Improving the stability of algebraic curves for applications. IEEE Trans. Image Process. 9(3): 405-416 (2000) - [c4]Tolga Tasdizen, David B. Cooper:
Boundary Estimation from Intensity/Color Images with Algebraic Curve Models. ICPR 2000: 1225-1228
1990 – 1999
- 1999
- [c3]Tolga Tasdizen, Jean-Philippe Tarel, David B. Cooper:
Algebraic Curves That Work Better. CVPR 1999: 2035-2041 - 1998
- [j1]Tolga Tasdizen, Lale Akarun, Cem Ersoy:
Color quantization with genetic algorithms. Signal Process. Image Commun. 12(1): 49-57 (1998) - [c2]Jiangying Zhou, Daniel P. Lopresti, Tolga Tasdizen:
Finding text in color images. Document Recognition 1998: 130-140 - [c1]Zhibin Lei, Tolga Tasdizen, David B. Cooper:
PIMs and Invariant Parts for Shape Recognition. ICCV 1998: 827-832
Coauthor Index
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