Thomas Köhler

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Indice H	13	9
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Joachim HorneggerProfessor of Computer Science, Friedrich-Alexander-Universität Erlangen-NürnbergEmail verificata su fau.de
Andreas K. MaierFriedrich-Alexander-Universität Erlangen-NürnbergEmail verificata su fau.de
Christian RiessFriedrich-Alexander-University of Erlangen-NurembergEmail verificata su informatik.uni-erlangen.de
Sven HaaseFriedrich-Alexander-University of Erlangen-NurembergEmail verificata su informatik.uni-erlangen.de
Franziska SchirrmacherFriedrich-Alexander-University of Erlangen-NurembergEmail verificata su fau.de
Martin KrausSiemens HealthineersEmail verificata su cs.fau.de
Andres Diaz-PintoSenior Deep Learning Engineer at NVIDIA & Senior Visiting Research Fellow at King's College LondonEmail verificata su kcl.ac.uk
Sandra MoralesInstituto de Investigación e Innovación en Bioingeniería, I3B, Universitat Politècnica de ValènciaEmail verificata su i3b.upv.es
Valery NaranjoUniversidad Politécncia de ValenciaEmail verificata su labhuman.i3bh.es
Jose Manuel MossiProfesor Titular. Universitat Politècnica de ValènciaEmail verificata su dcom.upv.es
Lena Maier-HeinProfessor, German Cancer Research CenterEmail verificata su dkfz.de
André AichertSiemens Healthineers, Digital Technology & InnovationEmail verificata su informatik.uni-erlangen.de
André KaupProfessor, Friedrich-Alexander University Erlangen-NurembergEmail verificata su fau.de
Michel BätzFraunhofer IISEmail verificata su fau.de
Lennart HusvogtPhD Candidate, Pattern Recognition Lab, Friedrich-Alexander-Universität Erlangen-NürnbergEmail verificata su fau.de
Xiaolin Huang (黄晓霖)Professor, Shanghai Jiao Tong UniversityEmail verificata su sjtu.edu.cn
Vincent ChristleinUniversity Erlangen-NurembergEmail verificata su fau.de
Katharina BreiningerDepartment Artificial Intelligence in Biomedical Engineering, Friedrich-Alexander-UniversitätEmail verificata su fau.de
Tobias Koche.solutions GmbHEmail verificata su esolutions.de
Alexander BrostPattern Reconition Lab, University of ErlangenEmail verificata su cs.fau.de

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Thomas Köhler

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

Email verificata su fau.de

Image Processing Computer Vision Medical Imaging Super-Resolution


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
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	421	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	214	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	113	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	100*	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	39	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 reconstruction with applications to medical imaging T Köhler arXiv preprint arXiv:1812.09375, 2018	22	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	21	2018
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	21	2014
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	17	2015
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	15	2021
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
Computer-aided diagnostics and pattern recognition: Automated glaucoma detection T Köhler, R Bock, J Hornegger, G Michelson Teleophthalmology in Preventive Medicine, 93-104, 2014	14	2014
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	13	2017
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	11	2018
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	11	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	10	2014
Adaptive Quantile Sparse Image (AQuaSI) Prior for Inverse Imaging Problems F Schirrmacher, C Riess, T Köhler IEEE Transactions on Computational Imaging 6 (1), 503 - 517, 2020	8	2020

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