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Ilknur Icke
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2010 – 2019
- 2019
- [c13]Ilknur Icke, Alice Zhang, Sonal Singh, Belma Dogdas, Christian Mirescu, Matthew E. Kennedy, Sophia Bardehle:
3D profiling of amyloid plaque-associated microglia and neuronal damage on confocal fluorescence images to aid drug discovery in Alzheimer's disease. Digital Pathology 2019: 109560O - 2018
- [c12]Dongqing Zhang, Ilknur Icke, Belma Dogdas, Sarayu Parimal, Smita Sampath, Joseph Forbes, Ansuman Bagchi, Chih-Liang Chin, Antong Chen:
A multi-level convolutional LSTM model for the segmentation of left ventricle myocardium in infarcted porcine cine MR images. ISBI 2018: 470-473 - [c11]Dongqing Zhang, Ilknur Icke, Belma Dogdas, Sarayu Parimal, Smita Sampath, Joseph Forbes, Ansuman Bagchi, Chih-Liang Chin, Antong Chen:
Segmentation of left ventricle myocardium in porcine cardiac cine MR images using a hybrid of fully convolutional neural networks and convolutional LSTM. Image Processing 2018: 105740A - [i3]Dongqing Zhang, Ilknur Icke, Belma Dogdas, Sarayu Parimal, Smita Sampath, Joseph Forbes, Ansuman Bagchi, Chih-Liang Chin, Antong Chen:
A multi-level convolutional LSTM model for the segmentation of left ventricle myocardium in infarcted porcine cine MR images. CoRR abs/1811.06051 (2018) - 2017
- [c10]Antong Chen, Tian Zhou, Ilknur Icke, Sarayu Parimal, Belma Dogdas, Joseph Forbes, Smita Sampath, Ansuman Bagchi, Chih-Liang Chin:
Transfer Learning for the Fully Automatic Segmentation of Left Ventricle Myocardium in Porcine Cardiac Cine MR Images. STACOM@MICCAI 2017: 21-31 - [c9]Tian Zhou, Ilknur Icke, Belma Dogdas, Sarayu Parimal, Smita Sampath, Joseph Forbes, Ansuman Bagchi, Chih-Liang Chin, Antong Chen:
Automatic segmentation of left ventricle in cardiac cine MRI images based on deep learning. Image Processing 2017: 101331W - 2013
- [j1]Sean C. Ahearn, Ilknur Icke, Rajashree Datta
, Michael N. DeMers, Brandon Plewe
Re-engineering the GIS&T Body of Knowledge. Int. J. Geogr. Inf. Sci. 27(11): 2227-2245 (2013) - [c8]Ilknur Icke, Joshua Clifford Bongard:
Improving genetic programming based symbolic regression using deterministic machine learning. IEEE Congress on Evolutionary Computation 2013: 1763-1770 - [c7]Ilknur Icke, Joshua Clifford Bongard:
Modeling hierarchy using symbolic regression. IEEE Congress on Evolutionary Computation 2013: 2980-2987 - [c6]Ilknur Icke, Joshua Clifford Bongard:
Automatic identification of hierarchy in multivariate data. GECCO (Companion) 2013: 143-144 - [c5]Ilknur Icke, Nicholas A. Allgaier
A Deterministic and Symbolic Regression Hybrid Applied to Resting-State fMRI Data. GPTP 2013: 155-173 - 2012
- [i2]Ilknur Icke, Andrew Rosenberg:
Visual and semantic interpretability of projections of high dimensional data for classification tasks. CoRR abs/1205.4776 (2012) - 2011
- [c4]Ilknur Icke, Andrew Rosenberg:
Multi-objective Genetic Programming for Visual Analytics. EuroGP 2011: 322-334 - [c3]Ilknur Icke, Andrew Rosenberg:
Automated measures for interpretable dimensionality reduction for visual classification: A user study. IEEE VAST 2011: 281-282 - 2010
- [c2]Ilknur Icke, Andrew Rosenberg:
Dimensionality reduction using symbolic regression. GECCO (Companion) 2010: 2085-2086 - [i1]Ilknur Icke, Andrew Rosenberg:
Multi-Objective Genetic Programming Projection Pursuit for Exploratory Data Modeling. CoRR abs/1010.1888 (2010)
2000 – 2009
- 2008
- [c1]Elizabeth Sklar, Ilknur Icke:
Using Simulation to Evaluate Data-Driven Agents. MABS 2008: 71-84
Coauthor Index
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