Thomas Köhler

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Joachim HorneggerProfessor of Computer Science, Friedrich-Alexander-Universität Erlangen-NürnbergVerified email at fau.de
Andreas K. MaierFriedrich-Alexander-Universität Erlangen-NürnbergVerified email at fau.de
Christian RiessFriedrich-Alexander-University of Erlangen-NurembergVerified email at informatik.uni-erlangen.de
Sven HaaseFriedrich-Alexander-University of Erlangen-NurembergVerified email at informatik.uni-erlangen.de
Franziska SchirrmacherFriedrich-Alexander-University of Erlangen-NurembergVerified email at fau.de
Martin KrausSiemens HealthineersVerified email at cs.fau.de
Andres Diaz-PintoSenior Deep Learning Engineer at NVIDIA & Senior Visiting Research Fellow at King's College LondonVerified email at kcl.ac.uk
Sandra MoralesInstituto de Investigación e Innovación en Bioingeniería, I3B, Universitat Politècnica de ValènciaVerified email at i3b.upv.es
Jose Manuel MossiProfesor Titular. Universitat Politècnica de ValènciaVerified email at dcom.upv.es
Lena Maier-HeinProfessor, German Cancer Research CenterVerified email at dkfz.de
André AichertSiemens Healthineers, Digital Technology & InnovationVerified email at informatik.uni-erlangen.de
André KaupProfessor, Friedrich-Alexander University Erlangen-NurembergVerified email at fau.de
Michel BätzFraunhofer IISVerified email at fau.de
Lennart HusvogtPhD Candidate, Pattern Recognition Lab, Friedrich-Alexander-Universität Erlangen-NürnbergVerified email at fau.de
Xiaolin Huang (黄晓霖)Professor, Shanghai Jiao Tong UniversityVerified email at sjtu.edu.cn
Vincent ChristleinUniversity Erlangen-NurembergVerified email at fau.de
Katharina BreiningerCenter for AI and Datascience, Julius-Maximilians-Universität WürzburgVerified email at uni-wuerzburg.de
Alexander BrostPattern Reconition Lab, University of ErlangenVerified email at cs.fau.de
Tobias Koche.solutions GmbHVerified email at esolutions.de
Arnd DoerflerDepartment of Neuroradiology, University ErlangenVerified email at uk-erlangen.de

Thomas Köhler

Pattern Recognition Lab, Friedrich-Alexander-Universität Erlangen-Nürnberg

Verified email at fau.de

Image Processing Computer Vision Medical Imaging Super-Resolution


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CNNs for automatic glaucoma assessment using fundus images: an extensive validation A Diaz-Pinto, S Morales, V Naranjo, T Köhler, JM Mossi, A Navea Biomedical engineering online 18, 1-19, 2019	420	2019
Automatic no-reference quality assessment for retinal fundus images using vessel segmentation T Köhler, A Budai, MF Kraus, J Odstrcilik, G Michelson, J Hornegger Computer-Based Medical Systems (CBMS), 2013 IEEE 26th International …, 2013	218	2013
Robust multiframe super-resolution employing iteratively re-weighted minimization T Köhler, X Huang, F Schebesch, A Aichert, A Maier, J Hornegger IEEE Transactions on Computational Imaging 2 (1), 42-58, 2016	110	2016
Toward Bridging the Simulated-to-Real Gap: Benchmarking Super-Resolution on Real Data T Köhler, M Bätz, F Naderi, A Kaup, A Maier, C Riess IEEE Transactions on Pattern Analysis and Machine Intelligence, 2019	99*	2019
ToF meets RGB: novel multi-sensor super-resolution for hybrid 3-D endoscopy T Köhler, S Haase, S Bauer, J Wasza, T Kilgus, L Maier-Hein, H Feußner, ... Medical Image Computing and Computer-Assisted Intervention–MICCAI 2013: 16th …, 2013	40	2013
Gradient-based differential approach for 3-D motion compensation in interventional 2-D/3-D image fusion J Wang, A Borsdorf, B Heigl, T Köhler, J Hornegger 2014 2nd International Conference on 3D Vision 1, 293-300, 2014	25	2014
Multi-frame super-resolution with quality self-assessment for retinal fundus videos T Köhler, A Brost, K Mogalle, Q Zhang, C Köhler, G Michelson, ... Medical Image Computing and Computer-Assisted Intervention–MICCAI 2014: 17th …, 2014	23	2014
Multi-frame super-resolution reconstruction with applications to medical imaging T Köhler arXiv preprint arXiv:1812.09375, 2018	20	2018
Temporal and volumetric denoising via quantile sparse image prior F Schirrmacher, T Köhler, J Endres, T Lindenberger, L Husvogt, ... Medical Image Analysis 48, 131-146, 2018	19	2018
Multi-Sensor Super-Resolution for Hybrid Range Imaging with Application to 3-D Endoscopy and Open Surgery T Köhler, S Haase, S Bauer, J Wasza, T Kilgus, L Maier-Hein, C Stock, ... Medical Image Analysis, 2015	16	2015
QuaSI: quantile sparse image prior for spatio-temporal denoising of retinal OCT data F Schirrmacher, T Köhler, L Husvogt, JG Fujimoto, J Hornegger, AK Maier Medical Image Computing and Computer-Assisted Intervention− MICCAI 2017 …, 2017	15	2017
Computer-aided diagnostics and pattern recognition: Automated glaucoma detection T Köhler, R Bock, J Hornegger, G Michelson Teleophthalmology in Preventive Medicine, 93-104, 2014	15	2014
GPU-accelerated time-of-flight super-resolution for image-guided surgery J Wetzl, O Taubmann, S Haase, T Köhler, M Kraus, J Hornegger Bildverarbeitung für die Medizin 2013: Algorithmen-Systeme-Anwendungen …, 2013	15	2013
Merging-isp: Multi-exposure high dynamic range image signal processing P Chaudhari, F Schirrmacher, A Maier, C Riess, T Köhler DAGM German Conference on Pattern Recognition, 328-342, 2021	14	2021
Super-Resolved Retinal Image Mosaicing T Köhler, A Heinrich, A Maier, J Hornegger, RP Tornow 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), 1063 - 1067, 2016	12	2016
A robust probabilistic model for motion layer separation in x-ray fluoroscopy P Fischer, T Pohl, T Köhler, A Maier, J Hornegger International Conference on Information Processing in Medical Imaging, 288-299, 2015	12	2015
Learning from a handful volumes: MRI resolution enhancement with volumetric super-resolution forests A Sindel, K Breininger, J Käßer, A Hess, A Maier, T Köhler 2018 25th IEEE International Conference on Image Processing (ICIP), 1453-1457, 2018	10	2018
Binarization Driven Blind Deconvolution for Document Image Restoration T Köhler, A Maier, V Christlein German Conference on Pattern Recognition (GCPR), 91-102, 2015	9	2015
A Unified Bayesian Approach to Multi-Frame Super-Resolution and Single-Image Upsampling in Multi-Sensor Imaging T Köhler, J Jordan, A Maier, J Hornegger Proceedings of the British Machine Vision Conference (BMVC) 24 (1), 220-234, 2015	9	2015
Outlier Detection for Multi-Sensor Super-Resolution in Hybrid 3D Endoscopy T Köhler, S Haase, S Bauer, J Wasza, T Kilgus, L Maier-Hein, H Feußner, ... Bildverarbeitung für die Medizin 2014, 84, 2014	9	2014

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