Finding text in color images. - Jiangying Zhou; Daniel P. Lopresti; Tolga Tasdizen (Document Recognition, 1998)

PIMs and Invariant Parts for Shape Recognition. - Zhibin Lei; Tolga Tasdizen; David B. Cooper (ICCV, 1998)

Color quantization with genetic algorithms. - Tolga Tasdizen; Lale Akarun; Cem Ersoy (Signal Process. Image Commun., 1998)

Algebraic Curves That Work Better. - Tolga Tasdizen; Jean-Philippe Tarel; David B. Cooper (CVPR, 1999)

Boundary Estimation from Intensity/Color Images with Algebraic Curve Models. - Tolga Tasdizen; David B. Cooper (ICPR, 2000)

Improving the stability of algebraic curves for applications. - Tolga Tasdizen; Jean-Philippe Tarel; David B. Cooper (IEEE Trans. Image Process., 2000)

Geometric Surface Smoothing via Anisotropic Diffusion of Normals. - Tolga Tasdizen; Ross T. Whitaker; Paul Burchard; Stanley J. Osher (IEEE Visualization, 2002)

Cramer-Rao Bounds for Nonparametric Surface Reconstruction from Range Data. - Tolga Tasdizen; Ross T. Whitaker (3DIM, 2003)

Anisotropic diffusion of surface normals for feature preserving surface reconstruction. - Tolga Tasdizen; Ross T. Whitaker (3DIM, 2003)

Curvature-Based Transfer Functions for Direct Volume Rendering: Methods and Applications. - Gordon L. Kindlmann; Ross T. Whitaker; Tolga Tasdizen; Torsten Möller (IEEE Visualization, 2003)

Particle-Based Simulation of Fluids. - Simon Premoze; Tolga Tasdizen; James Bigler; Aaron E. Lefohn; Ross T. Whitaker (Comput. Graph. Forum, 2003)

Geometric surface processing via normal maps. - Tolga Tasdizen; Ross T. Whitaker; Paul Burchard; Stanley J. Osher (ACM Trans. Graph., 2003)

Higher-Order Nonlinear Priors for Surface Reconstruction. - Tolga Tasdizen; Ross T. Whitaker (IEEE Trans. Pattern Anal. Mach. Intell., 2004)

A geometric multigrid approach to solving the 2D inhomogeneous Laplace equation with internal Dirichlet boundary conditions. - Leo J. Grady; Tolga Tasdizen; Ross T. Whitaker (ICIP (2), 2005)

Enhancement of cell boundaries in transmission electron microscopy images. - Tolga Tasdizen; Ross T. Whitaker; Robert Marc; Bryan W. Jones (ICIP (2), 2005)

MRI Tissue Classification with Neighborhood Statistics: A Nonparametric, Entropy-Minimizing Approach. - Tolga Tasdizen; Suyash P. Awate; Ross T. Whitaker; Norman L. Foster (MICCAI (2), 2005)

Statistically Quantitative Volume Visualization. - Joe Michael Kniss; Robert L. Van Uitert Jr.; Abraham Stephens; Guo-Shi Li; Tolga Tasdizen; Charles D. Hansen (IEEE Visualization, 2005)

Unsupervised Texture Segmentation with Nonparametric Neighborhood Statistics. - Suyash P. Awate; Tolga Tasdizen; Ross T. Whitaker (ECCV (2), 2006)

Model-Based Image Reconstruction for Dynamic Cardiac Perfusion MRI from Sparse Data. - Suyash P. Awate; Edward V. R. DiBella; Tolga Tasdizen; Ross T. Whitaker (EMBC, 2006)

Adaptive Markov modeling for mutual-information-based, unsupervised MRI brain-tissue classification. - Suyash P. Awate; Tolga Tasdizen; Norman L. Foster; Ross T. Whitaker (Medical Image Anal., 2006)

Robust non-linear dimensionality reduction using successive 1-dimensional Laplacian Eigenmaps. - Samuel Gerber; Tolga Tasdizen; Ross T. Whitaker (ICML, 2007)

Anisotropic Curvature Motion for Structure Enhancing Smoothing of 3D MR Angiography Data. - Oliver Nemitz; Martin Rumpf; Tolga Tasdizen; Ross T. Whitaker (J. Math. Imaging Vis., 2007)

Principal components for non-local means image denoising. - Tolga Tasdizen (ICIP, 2008)

An optimal-path approach for neural circuit reconstruction. - Elizabeth Jurrus; Ross T. Whitaker; Bryan W. Jones; Robert Marc; Tolga Tasdizen (ISBI, 2008)

Automatic classification of Alzheimer's Disease vs. Frontotemporal dementia: A spatial decision tree approach with FDG-PET. - Neda Sadeghi; Norman L. Foster; Angela Y. Wang; Satoshi Minoshima; Andrew P. Lieberman; Tolga Tasdizen (ISBI, 2008)

Dimensionality reduction and principal surfaces via Kernel Map Manifolds. - Samuel Gerber; Tolga Tasdizen; Ross T. Whitaker (ICCV, 2009)

Ultrastructural Mapping of Neural Circuitry: A Computational Framework. - James R. Anderson 002; 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; et al. (ISBI, 2009)

Automatic Markup of Neural Cell Membranes Using Boosted Decision Stumps. - Kannan Umadevi Venkataraju; António R. C. Paiva; Elizabeth Jurrus; Tolga Tasdizen (ISBI, 2009)

On the Manifold Structure of the Space of Brain Images. - Samuel Gerber; Tolga Tasdizen; Sarang C. Joshi; Ross T. Whitaker (MICCAI (1), 2009)

Axon tracking in serial block-face scanning electron microscopy. - Elizabeth Jurrus; Melissa Hardy; Tolga Tasdizen; P. Thomas Fletcher; Pavel Koshevoy; Chi-Bin Chien; Winfried Denk; Ross T. Whitaker (Medical Image Anal., 2009)

Using the Stochastic Collocation Method for the Uncertainty Quantification of Drug Concentration Due to Depot Shape Variability. - J. Samuel Preston; Tolga Tasdizen; Christi M. Terry; Alfred K. Cheung; Robert M. Kirby (IEEE Trans. Biomed. Eng., 2009)

Principal Neighborhood Dictionaries for Nonlocal Means Image Denoising. - Tolga Tasdizen (IEEE Trans. Image Process., 2009)

Fast semi-supervised image segmentation by novelty selection. - António R. C. Paiva; Tolga Tasdizen (ICASSP, 2010)

Improving Undersampled MRI Reconstruction Using Non-local Means. - Ganesh Adluru; Tolga Tasdizen; Ross T. Whitaker; Edward V. R. Di Bella (ICPR, 2010)

Using Sequential Context for Image Analysis. - António R. C. Paiva; Elizabeth Jurrus; Tolga Tasdizen (ICPR, 2010)

Detection of Salient Image Points Using Principal Subspace Manifold Structure. - António R. C. Paiva; Tolga Tasdizen (ICPR, 2010)

Image Parsing with a Three-State Series Neural Network Classifier. - Mojtaba Seyedhosseini; António R. C. Paiva; Tolga Tasdizen (ICPR, 2010)

Edge enhanced spatio-temporal constrained reconstruction of undersampled dynamic contrast enhanced radial MRI. - Srikant K. Iyer; Edward V. R. Di Bella; Tolga Tasdizen (ISBI, 2010)

Manifold modeling for brain population analysis. - Samuel Gerber; Tolga Tasdizen; P. Thomas Fletcher; Sarang C. Joshi; Ross T. Whitaker (Medical Image Anal., 2010)

Detection of neuron membranes in electron microscopy images using a serial neural network architecture. - Elizabeth Jurrus; António R. C. Paiva; Shigeki Watanabe; James R. Anderson 002; Bryan W. Jones; Ross T. Whitaker; Erik M. Jorgensen; Robert Marc; Tolga Tasdizen (Medical Image Anal., 2010)

Fast AdaBoost training using weighted novelty selection. - Mojtaba Seyedhosseini; António R. C. Paiva; Tolga Tasdizen (IJCNN, 2011)

Trace driven registration of neuron confocal microscopy stacks. - Luke Hogrebe; António R. C. Paiva; Elizabeth Jurrus; Cameron Christensen; Michael Bridge; Julie R. Korenberg; Tolga Tasdizen (ISBI, 2011)

A rapid 2-D centerline extraction method based on tensor voting. - Zhe Leng; Julie R. Korenberg; Badri Roysam; Tolga Tasdizen (ISBI, 2011)

Detection of Neuron Membranes in Electron Microscopy Images Using Multi-scale Context and Radon-Like Features. - Mojtaba Seyedhosseini; Ritwik Kumar; Elizabeth Jurrus; Rick Giuly; Mark H. Ellisman; Hanspeter Pfister; Tolga Tasdizen (MICCAI (1), 2011)

Watershed merge tree classification for electron microscopy image segmentation. - Ting Liu 005; Elizabeth Jurrus; Mojtaba Seyedhosseini; Mark H. Ellisman; Tolga Tasdizen (ICPR, 2012)

Segmentation of haematopoeitic cells in bone marrow using circle detection and splitting techniques. - Nisha Ramesh; Mohamed E. Salama; Tolga Tasdizen (ISBI, 2012)

Fingerprint Image Segmentation using Data Manifold Characteristic Features. - António R. C. Paiva; Tolga Tasdizen (Int. J. Pattern Recognit. Artif. Intell., 2012)

Image Segmentation with Cascaded Hierarchical Models and Logistic Disjunctive Normal Networks. - Mojtaba Seyedhosseini; Mehdi Sajjadi; Tolga Tasdizen (ICCV, 2013)

Watershed merge forest classification for electron microscopy image stack segmentation. - Ting Liu 005; Mojtaba Seyedhosseini; Mark H. Ellisman; Tolga Tasdizen (ICIP, 2013)

Three-dimensional alignment and merging of confocal microscopy stacks. - Nisha Ramesh; Hideo Otsuna; Tolga Tasdizen (ICIP, 2013)

Semi-automatic neuron segmentation in electron microscopy images via sparse labeling. - Cory Jay Jones; Ting Liu 005; Mark H. Ellisman; Tolga Tasdizen (ISBI, 2013)

Neuron segmentation in electron microscopy images using partial differential equations. - Cory Jay Jones; Mojtaba Seyedhosseini; Mark H. Ellisman; Tolga Tasdizen (ISBI, 2013)

Segmentation of mitochondria in electron microscopy images using algebraic curves. - Mojtaba Seyedhosseini; Mark H. Ellisman; Tolga Tasdizen (ISBI, 2013)

Semi-Automated Neuron Boundary Detection and Nonbranching Process Segmentation in Electron Microscopy Images. - Elizabeth Jurrus; Shigeki Watanabe; Richard J. Giuly; António R. C. Paiva; Mark H. Ellisman; Erik M. Jorgensen; Tolga Tasdizen (Neuroinformatics, 2013)

Multi-Class Multi-Scale Series Contextual Model for Image Segmentation. - Mojtaba Seyedhosseini; Tolga Tasdizen (IEEE Trans. Image Process., 2013)

Cell tracking using particle filters with implicit convex shape model in 4D confocal microscopy images. - Nisha Ramesh; Tolga Tasdizen (ICIP, 2014)

Scene Labeling with Contextual Hierarchical Models. - Mojtaba Seyedhosseini; Tolga Tasdizen (CoRR, 2014)

A joint classification and segmentation approach for dendritic spine segmentation in 2-photon microscopy images. - Ertunc Erdil; Ali Ozgur Argunsah; Tolga Tasdizen; Devrim Ünay; Müjdat Çetin (ISBI, 2015)

Disjunctive normal shape models. - Nisha Ramesh; Fitsum Mesadi; Müjdat Çetin; Tolga Tasdizen (ISBI, 2015)

Disjunctive Normal Shape and Appearance Priors with Applications to Image Segmentation. - Fitsum Mesadi; Müjdat Çetin; Tolga Tasdizen (MICCAI (3), 2015)

Dendritic spine shape classification from two-photon microscopy images. - Muhammad Usman Ghani 002; Sumeyra Demir Kanik; Ali Ozgur Argunsah; Tolga Tasdizen; Devrim Ünay; Müjdat Çetin (SIU, 2015)

Semi-supervised adaptation of motor imagery based BCI systems. - Ismail Yilmaz; Sumeyra Demir Kanik; Tolga Tasdizen; Müjdat Çetin (SIU, 2015)

Disjunctive normal random forests. - Mojtaba Seyedhosseini; Tolga Tasdizen (Pattern Recognit., 2015)

Nonlinear Regression with Logistic Product Basis Networks. - Mehdi Sajjadi; Mojtaba Seyedhosseini; Tolga Tasdizen (IEEE Signal Process. Lett., 2015)

MCMC Shape Sampling for Image Segmentation with Nonparametric Shape Priors. - Ertunc Erdil; Sinan Yildirim; Müjdat Çetin; Tolga Tasdizen (CVPR, 2016)

Dendritic Spine Shape Analysis: A Clustering Perspective. - Muhammad Usman Ghani 002; Ertunç Erdil; Sümeyra Demir Kanik; Ali Özgür Argunsah; Anna Felicity Hobbiss; Inbal Israely; Devrim Ünay; Tolga Tasdizen; Müjdat Çetin (ECCV Workshops (1), 2016)

SSHMT: Semi-supervised Hierarchical Merge Tree for Electron Microscopy Image Segmentation. - Ting Liu 005; Miaomiao Zhang; Mehran Javanmardi; Nisha Ramesh; Tolga Tasdizen (ECCV (1), 2016)

Disjunctive normal level set: An efficient parametric implicit method. - Fitsum Mesadi; Müjdat Çetin; Tolga Tasdizen (ICIP, 2016)

Mutual exclusivity loss for semi-supervised deep learning. - Mehdi Sajjadi; Mehran Javanmardi; Tolga Tasdizen (ICIP, 2016)

Nonparametric joint shape and feature priors for segmentation of dendritic spines. - Ertunc Erdil; Lavdie Rada; Ali Ozgur Argunsah; Inbal Israely; Devrim Ünay; Tolga Tasdizen; Müjdat Çetin (ISBI, 2016)

On comparison of manifold learning techniques for dendritic spine classification. - Muhammad Usman Ghani 002; Ali Ozgur Argunsah; Inbal Israely; Devrim Ünay; Tolga Tasdizen; Müjdat Çetin (ISBI, 2016)

Dendritic spine shape analysis using disjunctive normal shape models. - Muhammad Usman Ghani 002; Fitsum Mesadi; Sumeyra Demir Kanik; Ali Ozgur Argunsah; Inbal Israely; Devrim Ünay; Tolga Tasdizen; Müjdat Çetin (ISBI, 2016)

Regularization With Stochastic Transformations and Perturbations for Deep Semi-Supervised Learning. - Mehdi Sajjadi; Mehran Javanmardi; Tolga Tasdizen (NIPS, 2016)

Disjunctive normal unsupervised LDA for P300-based brain-computer interfaces. - Majed Elwardy; Tolga Tasdizen; Müjdat Çetin (SIU, 2016)

Unsupervised Total Variation Loss for Semi-supervised Deep Learning of Semantic Segmentation. - Mehran Javanmardi; Mehdi Sajjadi; Ting Liu 005; Tolga Tasdizen (CoRR, 2016)

Convex Decomposition And Efficient Shape Representation Using Deformable Convex Polytopes. - Fitsum Mesadi; Tolga Tasdizen (CoRR, 2016)

Disjunctive normal networks. - Mehdi Sajjadi; Mojtaba Seyedhosseini; Tolga Tasdizen (Neurocomputing, 2016)

Semantic Image Segmentation with Contextual Hierarchical Models. - Mojtaba Seyedhosseini; Tolga Tasdizen (IEEE Trans. Pattern Anal. Mach. Intell., 2016)

Image Segmentation Using Hierarchical Merge Tree. - Ting Liu 005; Mojtaba Seyedhosseini; Tolga Tasdizen (IEEE Trans. Image Process., 2016)

Disjunctive Normal Shape Boltzmann Machine. - Ertunc Erdil; Fitsum Mesadi; Tolga Tasdizen; Müjdat Çetin (ICASSP, 2017)

Appearance invariance in convolutional networks with neighborhood similarity. - Tolga Tasdizen; Mehdi Sajjadi; Mehran Javanmardi; Nisha Ramesh (CoRR, 2017)

Special Issue on Biomedical Big Data: Understanding, Learning and Applications. - Jun Zhu 001; An-An Liu; Mei Chen; Tolga Tasdizen; Hang Su 006 (IEEE Trans. Big Data, 2017)

Nonparametric Joint Shape and Feature Priors for Image Segmentation. - Ertunc Erdil; Muhammad Usman Ghani 002; Lavdie Rada; Ali Ozgur Argunsah; Devrim Ünay; Tolga Tasdizen; Müjdat Çetin (IEEE Trans. Image Process., 2017)

Disjunctive Normal Parametric Level Set With Application to Image Segmentation. - Fitsum Mesadi; Müjdat Çetin; Tolga Tasdizen (IEEE Trans. Image Process., 2017)

Image Segmentation by Deep Learning of Disjunctive Normal Shape Model Shape Representation. - Mehran Javanmardi; Ricardo Bigolin Lanfredi; Müjdat Çetin; Tolga Tasdizen (CVPR Workshops, 2018)

Domain adaptation for biomedical image segmentation using adversarial training. - Mehran Javanmardi; Tolga Tasdizen (ISBI, 2018)

Semi-supervised learning for cell tracking in microscopy images. - Nisha Ramesh; Tolga Tasdizen (ISBI, 2018)

Improving the robustness of convolutional networks to appearance variability in biomedical images. - Tolga Tasdizen; Mehdi Sajjadi; Mehran Javanmardi; Nisha Ramesh (ISBI, 2018)

Image reconstruction using priors from deep learning. - Devi Ayyagari; Nisha Ramesh; Dimitri Yatsenko; Tolga Tasdizen; Cristain Atria (Image Processing, 2018)

Image Segmentation with Pseudo-marginal MCMC Sampling and Nonparametric Shape Priors. - Ertunc Erdil; Sinan Yildirim; Tolga Tasdizen; Müjdat Çetin (CoRR, 2018)

Image Segmentation Using Disjunctive Normal Bayesian Shape and Appearance Models. - Fitsum Mesadi; Ertunc Erdil; Müjdat Çetin; Tolga Tasdizen (IEEE Trans. Medical Imaging, 2018)

Combining Nonparametric Spatial Context Priors With Nonparametric Shape Priors for Dendritic Spine Segmentation in 2-Photon Microscopy Images. - Ertunc Erdil; Ali Ozgur Argunsah; Tolga Tasdizen; Devrim Ünay; Müjdat Çetin (ISBI, 2019)

Adversarial Regression Training for Visualizing the Progression of Chronic Obstructive Pulmonary Disease with Chest X-Rays. - Ricardo Bigolin Lanfredi; Joyce D. Schroeder; Clement Vachet; Tolga Tasdizen (MICCAI (6), 2019)

Unified Attentional Generative Adversarial Network for Brain Tumor Segmentation from Multimodal Unpaired Images. - Wenguang Yuan; Jia Wei; Jiabing Wang; Qianli Ma 001; Tolga Tasdizen (MICCAI (3), 2019)

Combining nonparametric spatial context priors with nonparametric shape priors for dendritic spine segmentation in 2-phoyon microscopy images. - Ertunc Erdil; Ali Ozgur Argunsah; Tolga Tasdizen; Devrim Ünay; Müjdat Çetin (CoRR, 2019)

Pseudo-Marginal MCMC Sampling for Image Segmentation Using Nonparametric Shape Priors. - Ertunc Erdil; Sinan Yildirim; Tolga Tasdizen; Müjdat Çetin (IEEE Trans. Image Process., 2019)

Cell Segmentation Using a Similarity Interface With a Multi-Task Convolutional Neural Network. - Nisha Ramesh; Tolga Tasdizen (IEEE J. Biomed. Health Informatics, 2019)

Inter-Slice Image Augmentation Based on Frame Interpolation for Boosting Medical Image Segmentation Accuracy. - Zhaotao Wu; Jia Wei; Wenguang Yuan; Jiabing Wang; Tolga Tasdizen (ECAI, 2020)

Interpretation of Disease Evidence for Medical Images Using Adversarial Deformation Fields. - Ricardo Bigolin Lanfredi; Joyce D. Schroeder; Clement Vachet; Tolga Tasdizen (MICCAI (2), 2020)

Analyzing Associations Between Chronic Disease Prevalence and Neighborhood Quality Through Google Street View Images. - Mehran Javanmardi; Dina Huang; Pallavi Dwivedi; Sahil Khanna; Kim D. Brunisholz; Ross T. Whitaker; Quynh C. Nguyen; Tolga Tasdizen (IEEE Access, 2020)

Unified generative adversarial networks for multimodal segmentation from unpaired 3D medical images. - Wenguang Yuan; Jia Wei; Jiabing Wang; Qianli Ma 001; Tolga Tasdizen (Medical Image Anal., 2020)

Graph constraint-based robust latent space low-rank and sparse subspace clustering. - Yunjun Xiao; Jia Wei; Jiabing Wang; Qianli Ma 001; Shandian Zhe; Tolga Tasdizen (Neural Comput. Appl., 2020)

Intelligent Damage Classification and Estimation in Power Distribution Poles Using Unmanned Aerial Vehicles and Convolutional Neural Networks. - Mohammad Mehdi Hosseini; Amarachi Umunnakwe; Masood Parvania; Tolga Tasdizen (IEEE Trans. Smart Grid, 2020)

Image-Based Multiresolution Topology Optimization Using Deep Disjunctive Normal Shape Model. - Vahid Keshavarzzadeh; Mitra Alirezaei; Tolga Tasdizen; Robert M. Kirby (Comput. Aided Des., 2021)

REFLACX, a dataset of reports and eye-tracking data for localization of abnormalities in chest x-rays. - Ricardo Bigolin Lanfredi; Mingyuan Zhang; William F. Auffermann; Jessica Chan; Phuong-Anh T. Duong; Vivek Srikumar; Trafton Drew; Joyce D. Schroeder; Tolga Tasdizen (CoRR, 2021)

Comparing radiologists' gaze and saliency maps generated by interpretability methods for chest x-rays. - Ricardo Bigolin Lanfredi; Ambuj Arora; Trafton Drew; Joyce D. Schroeder; Tolga Tasdizen (CoRR, 2021)

Adversarial Robust Classification by Conditional Generative Model Inversion. - Mitra Alirezaei; Tolga Tasdizen (ICMLC, 2022)

Stain Based Contrastive Co-training for Histopathological Image Analysis. - Bodong Zhang; Beatrice Knudsen; Deepika Sirohi; Alessandro Ferrero; Tolga Tasdizen (MILLanD@MICCAI, 2022)

Google Street View Images as Predictors of Patient Health Outcomes, 2017-2019. - Quynh C. Nguyen; Thomas W. Belnap; Pallavi Dwivedi; Amir Hossein Nazem Deligani; Abhinav Kumar 004; Dapeng Li 002; Ross T. Whitaker; Jessica M. Keralis; Heran Mane; Xiaohe Yue; Thu T. Nguyen; Tolga Tasdizen; et al. (Big Data Cogn. Comput., 2022)

Adversarially Robust Classification by Conditional Generative Model Inversion. - Mitra Alirezaei; Tolga Tasdizen (CoRR, 2022)

Localization supervision of chest x-ray classifiers using label-specific eye-tracking annotation. - Ricardo Bigolin Lanfredi; Joyce D. Schroeder; Tolga Tasdizen (CoRR, 2022)

Comparison of Machine Learning Detection of Low Left Ventricular Ejection Fraction Using Individual ECG Leads. - 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 (CinC, 2023)

Transfer Learning for Improved Classification of Drivers in Atrial Fibrillation. - Bram Hunt; Eugene Kwan; Tolga Tasdizen; Jake Bergquist; Matthias Lange; Benjamin A. Orkild; Robert S. MacLeod; Derek J. Dosdall; Ravi Ranjan (CinC, 2023)

Multi-Task Classification for Improved Health Outcome Prediction Based on Environmental Indicators. - Mitra Alirezaei; Quynh C. Nguyen; Ross T. Whitaker; Tolga Tasdizen (IEEE Access, 2023)

Quantifying the preferential direction of the model gradient in adversarial training with projected gradient descent. - Ricardo Bigolin Lanfredi; Joyce D. Schroeder; Tolga Tasdizen (Pattern Recognit., 2023)

DISC: Latent Diffusion Models with Self-Distillation from Separated Conditions for Prostate Cancer Grading. - Man Minh Ho; Elham Ghelichkhan; Yosep Chong; Yufei Zhou; Beatrice Knudsen; Tolga Tasdizen (ISBI, 2024)

Analyzing the Domain Shift Immunity of Deep Homography Estimation. - Mingzhen Shao; Tolga Tasdizen; Sarang C. Joshi (WACV, 2024)

DuoFormer: Leveraging Hierarchical Visual Representations by Local and Global Attention. - Xiaoya Tang; Bodong Zhang; Beatrice S. Knudsen; Tolga Tasdizen (CoRR, 2024)

PathMoCo: A Novel Framework to Improve Feature Embedding in Self-supervised Contrastive Learning for Histopathological Images. - Hamid Manoochehri; Bodong Zhang; Beatrice S. Knudsen; Tolga Tasdizen (CoRR, 2024)

Hierarchical Transformer for Electrocardiogram Diagnosis. - Xiaoya Tang; Jake Bergquist; Benjamin Steinberg; Tolga Tasdizen (CoRR, 2024)

A Comparison of Object Detection and Phrase Grounding Models in Chest X-Ray Abnormality Localization Using Eye-Tracking Data. - Elham Ghelichkhan; Tolga Tasdizen (ISBI, 2025)

VISTA: A Visual and Textual Attention Dataset for Interpreting Multimodal Models. - Harshit; Tolga Tasdizen (WACV (Workshops), 2025)

F2FLDM: Latent Diffusion Models with Histopathology Pre-Trained Embeddings for Unpaired Frozen Section to FFPE Translation. - Man Minh Ho; Shikha Dubey; Yosep Chong; Beatrice Knudsen; Tolga Tasdizen (WACV, 2025)

Joint Audio-Visual Idling Vehicle Detection with Streamlined Input Dependencies. - Xiwen Li; Rehman Mohammed; Tristalee Mangin; Surojit Saha; Kerry E. Kelly; Ross T. Whitaker; Tolga Tasdizen (WACV (Workshops), 2025)

CLASS-M: Adaptive stain separation-based contrastive learning with pseudo-labeling for histopathological image classification. - Bodong Zhang; Hamid Manoochehri; Man Minh Ho; Fahimeh Fooladgar; Yosep Chong; Beatrice S. Knudsen; Deepika Sirohi; Tolga Tasdizen (Medical Image Anal., 2025)

WeakSupCon: Weakly Supervised Contrastive Learning for Encoder Pre-training. - Bodong Zhang; Hamid Manoochehri; Beatrice S. Knudsen; Tolga Tasdizen (CoRR, 2025)

Audio and Multiscale Visual Cues Driven Cross-modal Transformer for Idling Vehicle Detection. - Xiwen Li; Ross T. Whitaker; Tolga Tasdizen (CoRR, 2025)

DuoFormer: Leveraging Hierarchical Representations by Local and Global Attention Vision Transformer. - Xiaoya Tang; Bodong Zhang; Man Minh Ho; Beatrice S. Knudsen; Tolga Tasdizen (CoRR, 2025)