Tolga Tasdizen

According to our database1, Tolga Tasdizen authored at least 105 papers between 1998 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2021
Image-Based Multiresolution Topology Optimization Using Deep Disjunctive Normal Shape Model.
Comput. Aided Des., 2021

2020
Intelligent Damage Classification and Estimation in Power Distribution Poles Using Unmanned Aerial Vehicles and Convolutional Neural Networks.
IEEE Trans. Smart Grid, 2020

Graph constraint-based robust latent space low-rank and sparse subspace clustering.
Neural Comput. Appl., 2020

Unified generative adversarial networks for multimodal segmentation from unpaired 3D medical images.
Medical Image Anal., 2020

Quantifying the Preferential Direction of the Model Gradient in Adversarial Training With Projected Gradient Descent.
CoRR, 2020

Analyzing Associations Between Chronic Disease Prevalence and Neighborhood Quality Through Google Street View Images.
IEEE Access, 2020

Interpretation of Disease Evidence for Medical Images Using Adversarial Deformation Fields.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Inter-Slice Image Augmentation Based on Frame Interpolation for Boosting Medical Image Segmentation Accuracy.
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

2019
Cell Segmentation Using a Similarity Interface With a Multi-Task Convolutional Neural Network.
IEEE J. Biomed. Health Informatics, 2019

Pseudo-Marginal MCMC Sampling for Image Segmentation Using Nonparametric Shape Priors.
IEEE Trans. Image Process., 2019

Combining nonparametric spatial context priors with nonparametric shape priors for dendritic spine segmentation in 2-phoyon microscopy images.
CoRR, 2019

Unified Attentional Generative Adversarial Network for Brain Tumor Segmentation from Multimodal Unpaired Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Adversarial Regression Training for Visualizing the Progression of Chronic Obstructive Pulmonary Disease with Chest X-Rays.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Combining Nonparametric Spatial Context Priors With Nonparametric Shape Priors for Dendritic Spine Segmentation in 2-Photon Microscopy Images.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2018
Image Segmentation Using Disjunctive Normal Bayesian Shape and Appearance Models.
IEEE Trans. Medical Imaging, 2018

Image Segmentation with Pseudo-marginal MCMC Sampling and Nonparametric Shape Priors.
CoRR, 2018

Image reconstruction using priors from deep learning.
Proceedings of the Medical Imaging 2018: Image Processing, 2018

Improving the robustness of convolutional networks to appearance variability in biomedical images.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Semi-supervised learning for cell tracking in microscopy images.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Domain adaptation for biomedical image segmentation using adversarial training.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Image Segmentation by Deep Learning of Disjunctive Normal Shape Model Shape Representation.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

2017
Disjunctive Normal Parametric Level Set With Application to Image Segmentation.
IEEE Trans. Image Process., 2017

Nonparametric Joint Shape and Feature Priors for Image Segmentation.
IEEE Trans. Image Process., 2017

Special Issue on Biomedical Big Data: Understanding, Learning and Applications.
IEEE Trans. Big Data, 2017

Appearance invariance in convolutional networks with neighborhood similarity.
CoRR, 2017

Disjunctive Normal Shape Boltzmann Machine.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016
Image Segmentation Using Hierarchical Merge Tree.
IEEE Trans. Image Process., 2016

Semantic Image Segmentation with Contextual Hierarchical Models.
IEEE Trans. Pattern Anal. Mach. Intell., 2016

Disjunctive normal networks.
Neurocomputing, 2016

Convex Decomposition And Efficient Shape Representation Using Deformable Convex Polytopes.
CoRR, 2016

Unsupervised Total Variation Loss for Semi-supervised Deep Learning of Semantic Segmentation.
CoRR, 2016

Disjunctive normal unsupervised LDA for P300-based brain-computer interfaces.
Proceedings of the 24th Signal Processing and Communication Application Conference, 2016

Regularization With Stochastic Transformations and Perturbations for Deep Semi-Supervised Learning.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Dendritic spine shape analysis using disjunctive normal shape models.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

On comparison of manifold learning techniques for dendritic spine classification.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Nonparametric joint shape and feature priors for segmentation of dendritic spines.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Mutual exclusivity loss for semi-supervised deep learning.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Disjunctive normal level set: An efficient parametric implicit method.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

SSHMT: Semi-supervised Hierarchical Merge Tree for Electron Microscopy Image Segmentation.
Proceedings of the Computer Vision - ECCV 2016, 2016

Dendritic Spine Shape Analysis: A Clustering Perspective.
Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016

MCMC Shape Sampling for Image Segmentation with Nonparametric Shape Priors.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015
Nonlinear Regression with Logistic Product Basis Networks.
IEEE Signal Process. Lett., 2015

Disjunctive normal random forests.
Pattern Recognit., 2015

Semi-supervised adaptation of motor imagery based BCI systems.
Proceedings of the 2015 23nd Signal Processing and Communications Applications Conference (SIU), 2015

Dendritic spine shape classification from two-photon microscopy images.
Proceedings of the 2015 23nd Signal Processing and Communications Applications Conference (SIU), 2015

Disjunctive Normal Shape and Appearance Priors with Applications to Image Segmentation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015

Disjunctive normal shape models.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

A joint classification and segmentation approach for dendritic spine segmentation in 2-photon microscopy images.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

2014
Scene Labeling with Contextual Hierarchical Models.
CoRR, 2014

Cell tracking using particle filters with implicit convex shape model in 4D confocal microscopy images.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

2013
Multi-Class Multi-Scale Series Contextual Model for Image Segmentation.
IEEE Trans. Image Process., 2013

Semi-Automated Neuron Boundary Detection and Nonbranching Process Segmentation in Electron Microscopy Images.
Neuroinformatics, 2013

Segmentation of mitochondria in electron microscopy images using algebraic curves.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

Neuron segmentation in electron microscopy images using partial differential equations.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

Semi-automatic neuron segmentation in electron microscopy images via sparse labeling.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

Three-dimensional alignment and merging of confocal microscopy stacks.
Proceedings of the IEEE International Conference on Image Processing, 2013

Watershed merge forest classification for electron microscopy image stack segmentation.
Proceedings of the IEEE International Conference on Image Processing, 2013

Image Segmentation with Cascaded Hierarchical Models and Logistic Disjunctive Normal Networks.
Proceedings of the IEEE International Conference on Computer Vision, 2013

2012
Fingerprint Image Segmentation using Data Manifold Characteristic Features.
Int. J. Pattern Recognit. Artif. Intell., 2012

Segmentation of haematopoeitic cells in bone marrow using circle detection and splitting techniques.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

Watershed merge tree classification for electron microscopy image segmentation.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

2011
Detection of Neuron Membranes in Electron Microscopy Images Using Multi-scale Context and Radon-Like Features.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

A rapid 2-D centerline extraction method based on tensor voting.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

Trace driven registration of neuron confocal microscopy stacks.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

Fast AdaBoost training using weighted novelty selection.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

2010
Detection of neuron membranes in electron microscopy images using a serial neural network architecture.
Medical Image Anal., 2010

Manifold modeling for brain population analysis.
Medical Image Anal., 2010

Edge enhanced spatio-temporal constrained reconstruction of undersampled dynamic contrast enhanced radial MRI.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010

Image Parsing with a Three-State Series Neural Network Classifier.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

Detection of Salient Image Points Using Principal Subspace Manifold Structure.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

Using Sequential Context for Image Analysis.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

Improving Undersampled MRI Reconstruction Using Non-local Means.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

Fast semi-supervised image segmentation by novelty selection.
Proceedings of the IEEE International Conference on Acoustics, 2010

2009
Principal Neighborhood Dictionaries for Nonlocal Means Image Denoising.
IEEE Trans. Image Process., 2009

Using the Stochastic Collocation Method for the Uncertainty Quantification of Drug Concentration Due to Depot Shape Variability.
IEEE Trans. Biomed. Eng., 2009

Axon tracking in serial block-face scanning electron microscopy.
Medical Image Anal., 2009

On the Manifold Structure of the Space of Brain Images.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009

Automatic Markup of Neural Cell Membranes Using Boosted Decision Stumps.
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009

Ultrastructural Mapping of Neural Circuitry: A Computational Framework.
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009

Dimensionality reduction and principal surfaces via Kernel Map Manifolds.
Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

2008
Automatic classification of Alzheimer's Disease vs. Frontotemporal dementia: A spatial decision tree approach with FDG-PET.
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008

An optimal-path approach for neural circuit reconstruction.
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008

Principal components for non-local means image denoising.
Proceedings of the International Conference on Image Processing, 2008

2007
Anisotropic Curvature Motion for Structure Enhancing Smoothing of 3D MR Angiography Data.
J. Math. Imaging Vis., 2007

Robust non-linear dimensionality reduction using successive 1-dimensional Laplacian Eigenmaps.
Proceedings of the Machine Learning, 2007

2006
Adaptive Markov modeling for mutual-information-based, unsupervised MRI brain-tissue classification.
Medical Image Anal., 2006

Model-Based Image Reconstruction for Dynamic Cardiac Perfusion MRI from Sparse Data.
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006

Unsupervised Texture Segmentation with Nonparametric Neighborhood Statistics.
Proceedings of the Computer Vision, 2006

2005
Statistically Quantitative Volume Visualization.
Proceedings of the 16th IEEE Visualization Conference, 2005

MRI Tissue Classification with Neighborhood Statistics: A Nonparametric, Entropy-Minimizing Approach.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2005

Enhancement of cell boundaries in transmission electron microscopy images.
Proceedings of the 2005 International Conference on Image Processing, 2005

A geometric multigrid approach to solving the 2D inhomogeneous Laplace equation with internal Dirichlet boundary conditions.
Proceedings of the 2005 International Conference on Image Processing, 2005

2004
Higher-Order Nonlinear Priors for Surface Reconstruction.
IEEE Trans. Pattern Anal. Mach. Intell., 2004

2003
Geometric surface processing via normal maps.
ACM Trans. Graph., 2003

Particle-Based Simulation of Fluids.
Comput. Graph. Forum, 2003

Curvature-Based Transfer Functions for Direct Volume Rendering: Methods and Applications.
Proceedings of the 14th IEEE Visualization Conference, 2003

Anisotropic diffusion of surface normals for feature preserving surface reconstruction.
Proceedings of the 4th International Conference on 3D Digital Imaging and Modeling (3DIM 2003), 2003

Cramer-Rao Bounds for Nonparametric Surface Reconstruction from Range Data.
Proceedings of the 4th International Conference on 3D Digital Imaging and Modeling (3DIM 2003), 2003

2002
Geometric Surface Smoothing via Anisotropic Diffusion of Normals.
Proceedings of the 13th IEEE Visualization Conference, 2002

2000
Improving the stability of algebraic curves for applications.
IEEE Trans. Image Process., 2000

Boundary Estimation from Intensity/Color Images with Algebraic Curve Models.
Proceedings of the 15th International Conference on Pattern Recognition, 2000

1999
Algebraic Curves That Work Better.
Proceedings of the 1999 Conference on Computer Vision and Pattern Recognition (CVPR '99), 1999

1998
Color quantization with genetic algorithms.
Signal Process. Image Commun., 1998

PIMs and Invariant Parts for Shape Recognition.
Proceedings of the Sixth International Conference on Computer Vision (ICCV-98), 1998

Finding text in color images.
Proceedings of the Document Recognition V, San Jose, CA, USA, January 24, 1998, 1998


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