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ORCIDMoon S. Kim 0002
Person information
- affiliation: University Hospital Essen, Institute for AI in Medicine, IKIM, Germany
Other persons with the same name
- Moon S. Kim — disambiguation page
- Moon S. Kim 0001 (aka: Moon Sung Kim 0001) — Agricultural Research Service, U.S. Department of Agriculture, Environmental Microbial and Food Safety Laboratory, MD, USA
- Moon Kim 0001 — Korea Institute of Information and Commucation Engineering, Seoul, South Korea (and 1 more)
- Moon Kim 0003 — Atlanta Veterans Affairs Medical Center, GA, USA
- Moon Kim 0004 — Beltsville Agricultural Research Center, MD, USA
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2020 – today
- 2024
[c3]Lukas Heine, Fabian Hörst, Enrico Nasca, Jens Siveke, Jan Egger, Moon S. Kim, Fin Hendrik Bahnsen, Jens Kleesiek:
Lean Study Host: Towards an Automated Pipeline for Multi-Center Study Hosting. HICSS 2024: 3235-3244- [i9]Zdravko Marinov, Moon S. Kim, Jens Kleesiek, Rainer Stiefelhagen:
Rethinking Annotator Simulation: Realistic Evaluation of Whole-Body PET Lesion Interactive Segmentation Methods. CoRR abs/2404.01816 (2024) - [i8]Markus R. Bujotzek, Ünal Akünal, Stefan Denner, Peter Neher, Maximilian Zenk, Eric Frodl, Astha Jaiswal, Moon S. Kim, Nicolai R. Krekiehn, Manuel Nickel, Richard Ruppel, Marcus Both, Felix Döllinger, Marcel Opitz, Thorsten Persigehl, Jens Kleesiek, Tobias Penzkofer, Klaus H. Maier-Hein, Rickmer Braren, Andreas Bucher:
Real-World Federated Learning in Radiology: Hurdles to overcome and Benefits to gain. CoRR abs/2405.09409 (2024) - 2023
- [j2]Jianning Li, André Ferreira, Behrus Puladi, Victor Alves
, Michael Kamp, Moon S. Kim, Felix Nensa, Jens Kleesiek, Seyed-Ahmad Ahmadi, Jan Egger:
Open-source skull reconstruction with MONAI. SoftwareX 23: 101432 (2023) - [c2]Verena Jasmin Hallitschke, Tobias Schlumberger, Philipp Kataliakos, Zdravko Marinov, Moon Kim, Lars Heiliger, Constantin Seibold, Jens Kleesiek, Rainer Stiefelhagen:
Multimodal Interactive Lung Lesion Segmentation: A Framework for Annotating PET/CT Images Based on Physiological and Anatomical Cues. ISBI 2023: 1-5 - [i7]Verena Jasmin Hallitschke, Tobias Schlumberger, Philipp Kataliakos, Zdravko Marinov, Moon Kim, Lars Heiliger, Constantin Seibold, Jens Kleesiek, Rainer Stiefelhagen:
Multimodal Interactive Lung Lesion Segmentation: A Framework for Annotating PET/CT Images based on Physiological and Anatomical Cues. CoRR abs/2301.09914 (2023) - [i6]Constantin Seibold, Alexander Jaus, Matthias A. Fink, Moon Kim, Simon Reiß, Ken Herrmann, Jens Kleesiek, Rainer Stiefelhagen:
Accurate Fine-Grained Segmentation of Human Anatomy in Radiographs via Volumetric Pseudo-Labeling. CoRR abs/2306.03934 (2023) - [i5]Frederic Jonske, Moon S. Kim, Enrico Nasca, Janis Evers, Johannes Haubold, René Hosch, Felix Nensa, Michael Kamp, Constantin Seibold, Jan Egger, Jens Kleesiek:
Why does my medical AI look at pictures of birds? Exploring the efficacy of transfer learning across domain boundaries. CoRR abs/2306.17555 (2023) - [i4]Matthias Hadlich, Zdravko Marinov, Moon S. Kim, Enrico Nasca, Jens Kleesiek, Rainer Stiefelhagen:
Sliding Window FastEdit: A Framework for Lesion Annotation in Whole-body PET Images. CoRR abs/2311.14482 (2023) - 2022
- [c1]Constantin Marc Seibold, Simon Reiß, M. Saquib Sarfraz, Matthias A. Fink, Victoria Mayer, Jan Sellner, Moon-Sung Kim, Klaus H. Maier-Hein, Jens Kleesiek, Rainer Stiefelhagen:
Detailed Annotations of Chest X-Rays via CT Projection for Report Understanding. BMVC 2022: 58 - [i3]Constantin Seibold, Simon Reiß, M. Saquib Sarfraz, Matthias A. Fink, Victoria Mayer, Jan Sellner, Moon-Sung Kim, Klaus H. Maier-Hein, Jens Kleesiek, Rainer Stiefelhagen:
Detailed Annotations of Chest X-Rays via CT Projection for Report Understanding. CoRR abs/2210.03416 (2022) - [i2]Jianning Li, André Ferreira, Behrus Puladi, Victor Alves, Michael Kamp, Moon-Sung Kim, Felix Nensa, Jens Kleesiek, Seyed-Ahmad Ahmadi, Jan Egger:
Open-Source Skull Reconstruction with MONAI. CoRR abs/2211.14051 (2022) - 2021
- [i1]Frederic Jonske, Maximilian Dederichs, Moon-Sung Kim, Jan Egger, Lale Umutlu, Michael Forsting, Felix Nensa, Jens Kleesiek:
MOMO - Deep Learning-driven classification of external DICOM studies for PACS archivation. CoRR abs/2112.00661 (2021) - 2020
- [j1]Sven Koitka, Moon S. Kim, Ming Qu, Asja Fischer, Christoph M. Friedrich, Felix Nensa:
Mimicking the radiologists' workflow: Estimating pediatric hand bone age with stacked deep neural networks. Medical Image Anal. 64: 101743 (2020)
Coauthor Index
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