Mehmet Turan
Orcid: 0000-0002-0913-2531
According to our database1,
Mehmet Turan
authored at least 36 papers
between 2013 and 2025.
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Bibliography
2025
Medical Image Anal., 2025
2024
FFPE++: Improving the quality of formalin-fixed paraffin-embedded tissue imaging via contrastive unpaired image-to-image translation.
Medical Image Anal., January, 2024
2023
Reversible Logic-Based Hexel Value Differencing - A Spatial Domain Steganography Method for Hexagonal Image Processing.
IEEE Access, 2023
2022
Nat. Mac. Intell., September, 2022
SelfVIO: Self-supervised deep monocular Visual-Inertial Odometry and depth estimation.
Neural Networks, 2022
Multim. Tools Appl., 2022
UC-NfNet: Deep learning-enabled assessment of ulcerative colitis from colonoscopy images.
Medical Image Anal., 2022
2021
EndoSLAM dataset and an unsupervised monocular visual odometry and depth estimation approach for endoscopic videos.
Medical Image Anal., 2021
2020
IEEE Trans. Medical Imaging, 2020
2019
SelfVIO: Self-Supervised Deep Monocular Visual-Inertial Odometry and Depth Estimation.
CoRR, 2019
Milli-RIO: Ego-Motion Estimation with Millimetre-Wave Radar and Inertial Measurement Unit Sensor.
CoRR, 2019
Proceedings of the 16th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2019
2018
Sparse-then-dense alignment-based 3D map reconstruction method for endoscopic capsule robots.
Mach. Vis. Appl., 2018
Deep EndoVO: A recurrent convolutional neural network (RCNN) based visual odometry approach for endoscopic capsule robots.
Neurocomputing, 2018
Proceedings of the 9th IFIP International Conference on New Technologies, 2018
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.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018
Endo-VMFuseNet: A Deep Visual-Magnetic Sensor Fusion Approach for Endoscopic Capsule Robots.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018
EndoSensorFusion: Particle Filtering-Based Multi-Sensory Data Fusion with Switching State-Space Model for Endoscopic Capsule Robots.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018
2017
A deep learning based fusion of RGB camera information and magnetic localization information for endoscopic capsule robots.
Int. J. Intell. Robotics Appl., 2017
Int. J. Intell. Robotics Appl., 2017
Endo-VMFuseNet: Deep Visual-Magnetic Sensor Fusion Approach for Uncalibrated, Unsynchronized and Asymmetric Endoscopic Capsule Robot Localization Data.
CoRR, 2017
A fully dense and globally consistent 3D map reconstruction approach for GI tract to enhance therapeutic relevance of the endoscopic capsule robot.
CoRR, 2017
A Deep Learning Based 6 Degree-of-Freedom Localization Method for Endoscopic Capsule Robots.
CoRR, 2017
Six Degree-of-Freedom Localization of Endoscopic Capsule Robots using Recurrent Neural Networks embedded into a Convolutional Neural Network.
CoRR, 2017
CoRR, 2017
2015
2014
Math. Comput. Simul., 2014
2013
Proceedings of the 21st Signal Processing and Communications Applications Conference, 2013