Moon S. Kim

According to our database, Moon S. Kim authored at least 9 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2024

Lean Study Host: Towards an Automated Pipeline for Multi-Center Study Hosting.

Lukas Heine, Fabian Hörst, Enrico Nasca, Jens Siveke, Jan Egger, Moon S. Kim, Fin Hendrik Bahnsen, Jens Kleesiek

Proceedings of the 57th Hawaii International Conference on System Sciences, 2024

2023

Open-source skull reconstruction with MONAI.

Jianning Li, André Ferreira, Behrus Puladi, Victor Alves, Michael Kamp, Moon S. Kim, Felix Nensa, Jens Kleesiek, Seyed-Ahmad Ahmadi, Jan Egger

SoftwareX, July, 2023

Sliding Window FastEdit: A Framework for Lesion Annotation in Whole-body PET Images.

Matthias Hadlich, Zdravko Marinov, Moon S. Kim, Enrico Nasca, Jens Kleesiek, Rainer Stiefelhagen

CoRR, 2023

Why does my medical AI look at pictures of birds? Exploring the efficacy of transfer learning across domain boundaries.

Frederic Jonske, Moon S. Kim, Enrico Nasca, Janis Evers, Johannes Haubold, René Hosch, Felix Nensa, Michael Kamp, Constantin Seibold, Jan Egger, Jens Kleesiek

CoRR, 2023

Accurate Fine-Grained Segmentation of Human Anatomy in Radiographs via Volumetric Pseudo-Labeling.

Constantin Seibold, Alexander Jaus, Matthias A. Fink, Moon Kim, Simon Reiß, Ken Herrmann, Jens Kleesiek, Rainer Stiefelhagen

CoRR, 2023

Multimodal Interactive Lung Lesion Segmentation: A Framework for Annotating PET/CT Images Based on Physiological and Anatomical Cues.

Verena Jasmin Hallitschke, Tobias Schlumberger, Philipp Kataliakos, Zdravko Marinov, Moon Kim, Lars Heiliger, Constantin Seibold, Jens Kleesiek, Rainer Stiefelhagen

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022

Detailed Annotations of Chest X-Rays via CT Projection for Report Understanding.

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

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021

MOMO - Deep Learning-driven classification of external DICOM studies for PACS archivation.

Frederic Jonske, Maximilian Dederichs, Moon-Sung Kim, Jan Egger, Lale Umutlu, Michael Forsting, Felix Nensa, Jens Kleesiek

CoRR, 2021

2020

Mimicking the radiologists' workflow: Estimating pediatric hand bone age with stacked deep neural networks.

Sven Koitka, Moon S. Kim, Ming Qu, Asja Fischer, Christoph M. Friedrich, Felix Nensa

Medical Image Anal., 2020