Firat Özdemir

According to our database, Firat Özdemir authored at least 22 papers between 2013 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Finetuning a Weather Foundation Model with Lightweight Decoders for Unseen Physical Processes.

Fanny Lehmann, Firat Ozdemir, Benedikt Soja, Torsten Hoefler, Siddhartha Mishra, Sebastian Schemm

CoRR, June, 2025

FocusDD: Real-World Scene Infusion for Robust Dataset Distillation.

Youbing Hu, Yun Cheng, Olga Saukh, Firat Ozdemir, Anqi Lu, Zhiqiang Cao, Zhijun Li

CoRR, January, 2025

2024

Signal domain adaptation network for limited-view optoacoustic tomography.

Anna Klimovskaia Susmelj, Berkan Lafci, Firat Ozdemir, Neda Davoudi, Xosé-Luís Dean-Ben, Fernando Pérez-Cruz, Daniel Razansky

Medical Image Anal., January, 2024

Modeling multiple sclerosis using mobile and wearable sensor data.

Shkurta Gashi, Pietro Oldrati, Max Möbus, Marc Hilty, Liliana Barrios, Firat Ozdemir, Veronika Kana, Andreas Lutterotti, Gunnar Rätsch, Christian Holz

npj Digit. Medicine, 2024

PokeFlex: A Real-World Dataset of Deformable Objects for Robotics.

Jan Obrist, Miguel Zamora, Hehui Zheng, Ronan Hinchet, Firat Ozdemir, Juan Zarate, Robert K. Katzschmann, Stelian Coros

CoRR, 2024

2023

OADAT: Experimental and Synthetic Clinical Optoacoustic Data for Standardized Image Processing.

Firat Ozdemir, Berkan Lafci, Xosé-Luís Dean-Ben, Daniel Razansky, Fernando Pérez-Cruz

Trans. Mach. Learn. Res., 2023

Renku: a platform for sustainable data science.

Rok Roskar, Chandrasekhar Ramakrishnan, Michele Volpi, Fernando Pérez-Cruz, Lilian Gasser, Firat Ozdemir, Patrick Paitz, Mohammad Alisafaee, Philipp Fischer, Ralf Grubenmann, Eliza J. Harris, Tasko Olevski, Carl Remlinger, Luis Salamanca, Elisabet Capon Garcia, Lorenzo Cavazzi, Jakub Chrobasik, Darlin Cordoba Osnas, Alessandro Degano, Jimena Dupre, Wesley Johnson, Eike Kettner, Laura Kinkead, Sean D. Murphy, Flora Thiebaut, Olivier Verscheure

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Retrospective Uncertainties for Deep Models using Vine Copulas.

Natasa Tagasovska, Firat Ozdemir, Axel Brando

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Learning Summary Statistics for Bayesian Inference with Autoencoders.

Carlo Albert, Simone Ulzega, Firat Ozdemir, Fernando Pérez-Cruz, Antonietta Mira

CoRR, 2022

Signal Domain Learning Approach for Optoacoustic Image Reconstruction from Limited View Data.

Anna Klimovskaia Susmelj, Berkan Lafci, Firat Ozdemir, Neda Davoudi, Xosé-Luís Dean-Ben, Fernando Pérez-Cruz, Daniel Razansky

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022

2021

Active learning for segmentation based on Bayesian sample queries.

Firat Özdemir, Zixuan Peng, Philipp Fürnstahl, Christine Tanner, Orcun Goksel

Knowl. Based Syst., 2021

Probabilistic modeling of lake surface water temperature using a Bayesian spatio-temporal graph convolutional neural network.

Michael Stalder, Firat Ozdemir, Artur Safin, Jonas Sukys, Damien Bouffard, Fernando Pérez-Cruz

CoRR, 2021

2020

Delineating Bone Surfaces in B-Mode Images Constrained by Physics of Ultrasound Propagation.

Firat Özdemir, Christine Tanner, Orcun Goksel

CoRR, 2020

2019

Extending pretrained segmentation networks with additional anatomical structures.

Firat Özdemir, Orcun Goksel

Int. J. Comput. Assist. Radiol. Surg., 2019

2018

Generative Adversarial Networks for MR-CT Deformable Image Registration.

Christine Tanner, Firat Özdemir, Romy Profanter, Valery Vishnevsky, Ender Konukoglu, Orçun Göksel

CoRR, 2018

Registration of 3D freehand ultrasound to a bone model for orthopedic procedures of the forearm.

Matija Ciganovic, Firat Özdemir, Fabien Péan, Philipp Fürnstahl, Christine Tanner, Orcun Goksel

Int. J. Comput. Assist. Radiol. Surg., 2018

Active Learning for Segmentation by Optimizing Content Information for Maximal Entropy.

Firat Özdemir, Zixuan Peng, Christine Tanner, Philipp Fürnstahl, Orçun Göksel

Proceedings of the Deep Learning in Medical Image Analysis - and - Multimodal Learning for Clinical Decision Support, 2018

Learn the New, Keep the Old: Extending Pretrained Models with New Anatomy and Images.

Firat Özdemir, Philipp Fürnstahl, Orçun Göksel

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

2017

Interactive segmentation in MRI for orthopedic surgery planning: bone tissue.

Firat Özdemir, Neerav Karani, Philipp Fürnstahl, Orcun Goksel

Int. J. Comput. Assist. Radiol. Surg., 2017

2016

Automatic Segmentation of Abdominal MRI Using Selective Sampling and Random Walker.

Janine Thoma, Firat Özdemir, Orcun Goksel

Proceedings of the Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging, 2016

Graphical Modeling of Ultrasound Propagation in Tissue for Automatic Bone Segmentation.

Firat Özdemir, Ece Ozkan, Orcun Goksel

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

2013

A Decision Forest Based Feature Selection Framework for Action Recognition from RGB-Depth Cameras.

Farhood Negin, Firat Özdemir, Ceyhun Burak Akgül, Kamer Ali Yüksel, Aytül Erçil

Proceedings of the Image Analysis and Recognition - 10th International Conference, 2013