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 | 5721 | 2014 |
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 | 363 | 2012 |
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 | 303 | 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 | 230 | 2019 |
Data2vis: Automatic generation of data visualizations using sequence-to-sequence recurrent neural networks V Dibia, Ç Demiralp IEEE computer graphics and applications 39 (5), 33-46, 2019 | 209 | 2019 |
Task-based effectiveness of basic visualizations B Saket, A Endert, Ç Demiralp IEEE transactions on visualization and computer graphics 25 (7), 2505-2512, 2018 | 199 | 2018 |
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 | 165 | 2006 |
Learning Perceptual Kernels for Visualization Design Ç Demiralp, MS Bernstein, J Heer IEEE Trans. Visualization & Comp. Graphics (Proc. InfoVis), 2014 | 155 | 2014 |
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 | 144 | 2001 |
Sato: Contextual semantic type detection in tables D Zhang, Y Suhara, J Li, M Hulsebos, Ç Demiralp, WC Tan arXiv preprint arXiv:1911.06311, 2019 | 135 | 2019 |
Foresight: Recommending visual insights Ç Demiralp, PJ Haas, S Parthasarathy, T Pedapati arXiv preprint arXiv:1707.03877, 2017 | 129 | 2017 |
Context-sensitive Classification Forests for Segmentation of Brain Tumor Tissues D Zikic, B Glocker, E Konukoglu, J Shotton, A Criminisi, DH Ye, ... | 117 | 2012 |
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 | 116 | 2009 |
Clustrophile 2: Guided visual clustering analysis M Cavallo, Ç Demiralp IEEE transactions on visualization and computer graphics 25 (1), 267-276, 2018 | 108 | 2018 |
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 | 104 | 2004 |
VizNet: Towards a large-scale visualization learning and benchmarking repository K Hu, SNS Gaikwad, M Hulsebos, MA Bakker, E Zgraggen, C Hidalgo, ... Proceedings of the 2019 CHI conference on human factors in computing systems …, 2019 | 97 | 2019 |
Annotating columns with pre-trained language models Y Suhara, J Li, Y Li, D Zhang, Ç Demiralp, C Chen, WC Tan Proceedings of the 2022 International Conference on Management of Data, 1493 …, 2022 | 87 | 2022 |
Gittables: A large-scale corpus of relational tables M Hulsebos, Ç Demiralp, P Groth Proceedings of the ACM on Management of Data 1 (1), 1-17, 2023 | 67 | 2023 |
A visual interaction framework for dimensionality reduction based data exploration M Cavallo, Ç Demiralp Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems …, 2018 | 66 | 2018 |
Visual Embedding: A Model for Visualization Ç Demiralp, CE Scheidegger, GL Kindlmann, DH Laidlaw, J Heer IEEE Computer Graphics and Applications, 2014 | 63 | 2014 |