Matthias Keicher
Matthias Keicher
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Zitiert von
Zitiert von
Tecno: Surgical phase recognition with multi-stage temporal convolutional networks
T Czempiel, M Paschali, M Keicher, W Simson, H Feussner, ST Kim, ...
Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020
FhSPECT-US guided needle biopsy of sentinel lymph nodes in the axilla: is it feasible?
A Okur, C Hennersperger, B Runyan, J Gardiazabal, M Keicher, S Paepke, ...
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2014: 17th …, 2014
Interventional 3D Augmented Reality for Orthopedic and Trauma Surgery
GO Javad Fotouhi, Bernhard Fuerst, Sing Chun Lee, Matthias Keicher, Marius ...
16th Annual Meeting of the International Society for Computer Assisted …, 2016
AI for doctors—a course to educate medical professionals in artificial intelligence for medical imaging
DM Hedderich, M Keicher, B Wiestler, MJ Gruber, H Burwinkel, ...
Healthcare 9 (10), 1278, 2021
Coating typologies and constrained swelling of hyaluronic acid gels within scaffold pores
M Arnal-Pastor, A Vallés-Lluch, M Keicher, MM Pradas
Journal of colloid and interface science 361 (1), 361-369, 2011
Chexplaining in style: Counterfactual explanations for chest x-rays using stylegan
M Atad, V Dmytrenko, Y Li, X Zhang, M Keicher, J Kirschke, B Wiestler, ...
arXiv preprint arXiv:2207.07553, 2022
Longitudinal quantitative assessment of covid-19 infection progression from chest cts
ST Kim, L Goli, M Paschali, A Khakzar, M Keicher, T Czempiel, E Burian, ...
Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021
Flexr: Few-shot classification with language embeddings for structured reporting of chest x-rays
M Keicher, K Zaripova, T Czempiel, K Mach, A Khakzar, N Navab
Medical Imaging with Deep Learning, 1493-1508, 2024
Continual class incremental learning for ct thoracic segmentation
A Elskhawy, A Lisowska, M Keicher, J Henry, P Thomson, N Navab
Domain Adaptation and Representation Transfer, and Distributed and …, 2020
Multimodal graph attention network for COVID-19 outcome prediction
M Keicher, H Burwinkel, D Bani-Harouni, M Paschali, T Czempiel, ...
Scientific Reports 13 (1), 19539, 2023
Glowin: A flow-based invertible generative framework for learning disentangled feature representations in medical images
A Sankar, M Keicher, R Eisawy, A Parida, F Pfister, ST Kim, N Navab
arXiv preprint arXiv:2103.10868, 2021
Interpretable vertebral fracture diagnosis
P Engstler, M Keicher, D Schinz, K Mach, AS Gersing, SC Foreman, ...
International Workshop on Interpretability of Machine Intelligence in …, 2022
RaDialog: A Large Vision-Language Model for Radiology Report Generation and Conversational Assistance
C Pellegrini, E Özsoy, B Busam, N Navab, M Keicher
arXiv preprint arXiv:2311.18681, 2023
Rad-restruct: A novel vqa benchmark and method for structured radiology reporting
C Pellegrini, M Keicher, E Özsoy, N Navab
International Conference on Medical Image Computing and Computer-Assisted …, 2023
Xplainer: From x-ray observations to explainable zero-shot diagnosis
C Pellegrini, M Keicher, E Özsoy, P Jiraskova, R Braren, N Navab
International Conference on Medical Image Computing and Computer-Assisted …, 2023
Semantic latent space regression of diffusion autoencoders for vertebral fracture grading
M Keicher, M Atad, D Schinz, AS Gersing, SC Foreman, SS Goller, ...
arXiv preprint arXiv:2303.12031, 2023
Vol2flow: segment 3d volumes using a sequence of registration flows
A Bitarafan, MF Azampour, K Bakhtari, M Soleymani Baghshah, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2022
Decision support for intoxication prediction using graph convolutional networks
H Burwinkel, M Keicher, D Bani-Harouni, T Zellner, F Eyer, N Navab, ...
Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020
U-PET: Mri-based dementia detection with joint generation of synthetic FDG-PET images
M Kollovieh, M Keicher, S Wunderlich, H Burwinkel, T Wendler, N Navab
arXiv preprint arXiv:2206.08078, 2022
Longitudinal self-supervision for COVID-19 pathology quantification
T Czempiel, C Rogers, M Keicher, M Paschali, R Braren, E Burian, ...
arXiv preprint arXiv:2203.10804, 2022
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