Mehmet Fatih Yanik

According to our database, Mehmet Fatih Yanik authored at least 7 papers between 2018 and 2022.

Collaborative distances:

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

2022

Deep-learning-based identification, tracking, pose estimation and behaviour classification of interacting primates and mice in complex environments.

Markus Marks, Qiuhan Jin, Oliver Sturman, Lukas von Ziegler, Sepp Kollmorgen, Wolfger von der Behrens, Valerio Mante, Johannes Bohacek, Mehmet Fatih Yanik

Nat. Mach. Intell., 2022

Machine learning reveals interhemispheric somatosensory coherence as indicator of anesthetic depth.

Dominik Schmidt, Gwendolyn English, Thomas C. Gent, Mehmet Fatih Yanik, Wolfger von der Behrens

Frontiers Neuroinformatics, 2022

2021

An optimized registration workflow and standard geometric space for small animal brain imaging.

Horea-Ioan Ioanas, Markus Marks, Valerio Zerbi, Mehmet Fatih Yanik, Markus Rudin

NeuroImage, 2021

2020

An Automated Open-Source Workflow for Standards-Compliant Integration of Small Animal Magnetic Resonance Imaging Data.

Horea-Ioan Ioanas, Markus Marks, Clément M. Garin, Marc Dhenain, Mehmet Fatih Yanik, Markus Rudin

Frontiers Neuroinformatics, 2020

Robust Disentanglement of a Few Factors at a Time.

Benjamin Estermann, Markus Marks, Mehmet Fatih Yanik

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2018

Unsupervised Odometry and Depth Learning for Endoscopic Capsule Robots.

Mehmet Turan, Evin Pinar Örnek, Nail Ibrahimli, Can Giracoglu, Yasin Almalioglu, Mehmet Fatih Yanik, Metin Sitti

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Magnetic- Visual Sensor Fusion-based Dense 3D Reconstruction and Localization for Endoscopic Capsule Robots.

Mehmet Turan, Yasin Almalioglu, Evin Pinar Örnek, Helder Araújo, Mehmet Fatih Yanik, Metin Sitti

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018