«ağatay Demiralp
«ağatay Demiralp
Megagon Labs
Verified email at cs.stanford.edu - Homepage
Cited by
Cited by
The multimodal brain tumor image segmentation benchmark (BRATS)
BH Menze, A Jakab, S Bauer, J Kalpathy-Cramer, K Farahani, J Kirby, ...
IEEE transactions on medical imaging 34 (10), 1993-2024, 2014
Visualizing diffusion tensor MR images using streamtubes and streamsurfaces
S Zhang, C Demiralp, DH Laidlaw
IEEE Transactions on Visualization and Computer Graphics 9 (4), 454-462, 2003
Decision Forests for Tissue-specific Segmentation of High-grade Gliomas in Multi-channel MR
D Zikic, B Glocker, E Konukoglu, A Criminisi, C Demiralp, J Shotton, ...
MICCAI - 15th International Conference on Medical Image Computing and†…, 2012
Cave and fishtank virtual-reality displays: A qualitative and quantitative comparison
C Demiralp, CD Jackson, DB Karelitz, S Zhang, DH Laidlaw
IEEE transactions on visualization and computer graphics 12 (3), 323-330, 2006
An immersive virtual environment for DT-MRI volume visualization applications: a case study
S Zhang, C Demiralp, DF Keefe, M DaSilva, DH Laidlaw, BD Greenberg, ...
Proceedings Visualization, 2001. VIS'01., 437-584, 2001
Exploring 3D DTI fiber tracts with linked 2D representations
R Jianu, C Demiralp, D Laidlaw
IEEE transactions on visualization and computer graphics 15 (6), 1449-1456, 2009
Context-sensitive Classification Forests for Segmentation of Brain Tumor Tissues
D Zikic, B Glocker, E Konukoglu, J Shotton, A Criminisi, DH Ye, ...
Estimating joint contact areas and ligament lengths from bone kinematics and surfaces
GE Marai, DH Laidlaw, C Demiralp, S Andrews, CM Grimm, JJ Crisco
IEEE Transactions on Biomedical Engineering 51 (5), 790-799, 2004
Learning Perceptual Kernels for Visualization Design
« Demiralp, MS Bernstein, J Heer
IEEE Trans. Visualization & Comp. Graphics (Proc. InfoVis), 2014
Task-based effectiveness of basic visualizations
B Saket, A Endert, « Demiralp
IEEE transactions on visualization and computer graphics 25 (7), 2505-2512, 2018
Visual Embedding: A Model for Visualization
« Demiralp, CE Scheidegger, GL Kindlmann, DH Laidlaw, J Heer
IEEE Computer Graphics and Applications, 2014
Exploring brain connectivity with two-dimensional neural maps
R Jianu, C Demiralp, DH Laidlaw
IEEE transactions on visualization and computer graphics 18 (6), 978-987, 2011
Clustrophile 2: Guided visual clustering analysis
M Cavallo, « Demiralp
IEEE transactions on visualization and computer graphics 25 (1), 267-276, 2018
Foresight: Recommending visual insights
« Demiralp, PJ Haas, S Parthasarathy, T Pedapati
arXiv preprint arXiv:1707.03877, 2017
Data2vis: Automatic generation of data visualizations using sequence-to-sequence recurrent neural networks
V Dibia, « Demiralp
IEEE computer graphics and applications 39 (5), 33-46, 2019
A visual interaction framework for dimensionality reduction based data exploration
M Cavallo, « Demiralp
Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems†…, 2018
Clustrophile: A tool for visual clustering analysis
« Demiralp
arXiv preprint arXiv:1710.02173, 2017
Poster: Subjective Usefulness of CAVE and Fish Tank VR Display Systems for a Scientific Visualization Application
C Demiralp, DH Laidlaw, C Jackson, DF Keefe, S Zhang
IEEE Visualization 2003, 2003
Sherlock: A deep learning approach to semantic data type detection
M Hulsebos, K Hu, M Bakker, E Zgraggen, A Satyanarayan, T Kraska, ...
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge†…, 2019
Sampling for scalable visual analytics
BC Kwon, J Verma, PJ Haas, C Demiralp
IEEE Computer Graphics and Applications 37 (1), 100-108, 2017
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