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Matthias Keicher
Matthias Keicher
Bestätigte E-Mail-Adresse bei tum.de
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Zitiert von
Zitiert von
Jahr
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
792020
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
272014
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
232016
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
222011
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
72021
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
62021
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
52021
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
42020
U-GAT: Multimodal Graph Attention Network for COVID-19 Outcome Prediction
M Keicher, H Burwinkel, D Bani-Harouni, M Paschali, T Czempiel, ...
arXiv preprint arXiv:2108.00860, 2021
32021
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
12022
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
12020
ToxNet: an artificial intelligence designed for decision support for toxin prediction
T Zellner, K Romanek, C Rabe, S Schmoll, S Geith, EC Heier, R Stich, ...
Clinical Toxicology, 1-8, 2022
2022
Interpretable Vertebral Fracture Diagnosis
P Engstler, M Keicher, D Schinz, K Mach, AS Gersing, SC Foreman, ...
Interpretability of Machine Intelligence in Medical Image Computing: 5th …, 2022
2022
Vol2Flow: Segment 3D Volumes Using a Sequence of Registration Flows
A Bitarafan, MF Azampour, K Bakhtari, M Soleymani Baghshah, ...
Medical Image Computing and Computer Assisted Intervention–MICCAI 2022: 25th …, 2022
2022
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
2022
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
2022
ToxNet 2: Judgement Day
T Zellner, H Burwinkel, M Keicher, D Bani-Harouni, N Navab, SA Ahmadi, ...
CLINICAL TOXICOLOGY 60, 37-38, 2022
2022
Few-shot Structured Radiology Report Generation Using Natural Language Prompts
M Keicher, K Mullakaeva, T Czempiel, K Mach, A Khakzar, N Navab
arXiv preprint arXiv:2203.15723, 2022
2022
Decision support for toxin prediction using artificial intelligence
T Zellner, H Burwinkel, M Keicher, D Bani-Harouni, N Navab, SA Ahmadi, ...
2021
System and method for the determination of a dose in radiotherapy
J Traub, P Matthies, M Keicher
US Patent 10,429,518, 2019
2019
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