Firat Ozdemir
Firat Ozdemir
Sr. Data Scientist, Swiss Data Science Center (SDSC)
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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
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
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
Extending pretrained segmentation networks with additional anatomical structures
F Ozdemir, O Goksel
International journal of computer assisted radiology and surgery 14, 1187-1195, 2019
Active learning for segmentation by optimizing content information for maximal entropy
F Ozdemir, Z Peng, C Tanner, P Fürnstahl, O Goksel
Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical …, 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
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
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
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
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
Signal Domain Learning Approach for Optoacoustic Image Reconstruction from Limited View Data
A Klimovskaia, B Lafci, F Ozdemir, N Davoudi, XL Dean-Ben, ...
Medical Imaging with Deep Learning, 2021
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
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
Automatic segmentation of abdominal MRI using selective sampling and random walker
J Thoma, F Ozdemir, O Goksel
Bayesian and grAphical Models for Biomedical Imaging, 83-93, 2016
Retrospective Uncertainties for Deep Models using Vine Copulas
N Tagasovska, F Ozdemir, A Brando
International Conference on Artificial Intelligence and Statistics, 2023
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
A Bayesian data assimilation framework for lake 3D hydrodynamic models with a physics-preserving particle filtering method using SPUX-MITgcm v1
A Safin, R Casañas, C Luz, J Cubero Cardoso, A Serrano Moral, ...
Geosci Model Dev Discuss 2021, 1-22, 2021
Delineating Bone Surfaces in B-Mode Images Constrained by Physics of Ultrasound Propagation
F Ozdemir, C Tanner, O Goksel
arXiv preprint arXiv:2001.02001, 2020
Revisiting Machine Learning Approaches for Short-and Longwave Radiation Inference in Weather and Climate Models, Part I: Offline Performance
G Bertoli, F Ozdemir, S Schemm, F Perez-Cruz
Authorea Preprints, 2023
Building a physics-constrained, fast and stable machine learning-based radiation emulator
G Bertoli, S Schemm, F Ozdemir, F Perez Cruz, E Szekely
EGU General Assembly Conference Abstracts, EGU-3418, 2023
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