| A decision forest based feature selection framework for action recognition from rgb-depth cameras F Negin, F Özdemir, CB Akgül, KA Yüksel, A Erçil Image Analysis and Recognition: 10th International Conference, ICIAR 2013 …, 2013 | 86 | 2013 |
| Generative adversarial networks for MR-CT deformable image registration C Tanner, F Ozdemir, R Profanter, V Vishnevsky, E Konukoglu, O Goksel arXiv preprint arXiv:1807.07349, 2018 | 85 | 2018 |
| Learn the new, keep the old: Extending pretrained models with new anatomy and images F Ozdemir, P Fuernstahl, O Goksel Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018 | 57 | 2018 |
| Extending pretrained segmentation networks with additional anatomical structures F Ozdemir, O Goksel International journal of computer assisted radiology and surgery 14, 1187-1195, 2019 | 50 | 2019 |
| Active learning for segmentation by optimizing content information for maximal entropy F Ozdemir, Z Peng, C Tanner, P Fuernstahl, O Goksel Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical …, 2018 | 38 | 2018 |
| Active learning for segmentation based on Bayesian sample queries F Ozdemir, Z Peng, P Fuernstahl, C Tanner, O Goksel Knowledge-Based Systems 214, 106531, 2021 | 24 | 2021 |
| Registration of 3D freehand ultrasound to a bone model for orthopedic procedures of the forearm M Ciganovic, F Ozdemir, F Pean, P Fuernstahl, C Tanner, O Goksel International journal of computer assisted radiology and surgery 13, 827-836, 2018 | 24 | 2018 |
| Graphical modeling of ultrasound propagation in tissue for automatic bone segmentation F Ozdemir, E Ozkan, O Goksel Medical Image Computing and Computer-Assisted Intervention–MICCAI 2016: 19th …, 2016 | 24 | 2016 |
| Learning summary statistics for bayesian inference with autoencoders C Albert, S Ulzega, F Ozdemir, F Perez-Cruz, A Mira SciPost Physics Core 5 (3), 043, 2022 | 10 | 2022 |
| OADAT: Experimental and Synthetic Clinical Optoacoustic Data for Standardized Image Processing F Ozdemir, B Lafci, XL Dean-Ben, D Razansky, F Perez-Cruz Transactions on Machine Learning Research, 2023 | 8 | 2023 |
| Interactive segmentation in MRI for orthopedic surgery planning: bone tissue F Ozdemir, N Karani, P Fürnstahl, O Goksel International journal of computer assisted radiology and surgery 12, 1031-1039, 2017 | 8 | 2017 |
| Signal domain learning approach for optoacoustic image reconstruction from limited view data AK Susmelj, B Lafci, F Ozdemir, N Davoudi, XL Dean-Ben, F Perez-Cruz, ... International Conference on Medical Imaging with Deep Learning, 1173-1191, 2022 | 6* | 2022 |
| Modeling multiple sclerosis using mobile and wearable sensor data S Gashi, P Oldrati, M Moebus, M Hilty, L Barrios, F Ozdemir, ... npj Digital Medicine 7 (1), 64, 2024 | 5 | 2024 |
| Deep learning techniques for bone surface delineation in ultrasound M Ciganovic, F Özdemir, M Farshad, O Göksel Medical Imaging 2019: Ultrasonic Imaging and Tomography 10955, 224-230, 2019 | 5 | 2019 |
| Signal domain adaptation network for limited-view optoacoustic tomography AK Susmelj, B Lafci, F Ozdemir, N Davoudi, XL Deán-Ben, F Perez-Cruz, ... Medical Image Analysis 91, 103012, 2024 | 4 | 2024 |
| Probabilistic modeling of lake surface water temperature using a Bayesian spatio-temporal graph convolutional neural network M Stalder, F Ozdemir, A Safin, J Sukys, D Bouffard, F Perez-Cruz arXiv preprint arXiv:2109.13235, 2021 | 3 | 2021 |
| Renku: a platform for sustainable data science R Roškar, C Ramakrishnan, M Volpi, F Perez-Cruz, L Gasser, F Ozdemir, ... Advances in Neural Information Processing Systems 36, 2024 | 2 | 2024 |
| Retrospective Uncertainties for Deep Models using Vine Copulas N Tagasovska, F Ozdemir, A Brando International Conference on Artificial Intelligence and Statistics, 2023 | 2 | 2023 |
| A Bayesian data assimilation framework for lake 3D hydrodynamic models with a physics-preserving particle filtering method using SPUX-MITgcm v1 A Safin, D Bouffard, F Ozdemir, CL Ramón, J Runnalls, F Georgatos, ... Geoscientific Model Development 15 (20), 7715-7730, 2022 | 2 | 2022 |
| A Bayesian data assimilation framework for lake 3D hydrodynamic models with a physics-preserving particle filtering method using SPUX-MITgcm v1 A Safin, D Bouffard, F Ozdemir, CL Ramón, J Runnalls, F Georgatos, ... Geoscientific Model Development Discussions 2021, 1-22, 2021 | 2 | 2021 |
Orcun GokselUppsala UniversityVerified email at it.uu.se
