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2020 – today
- 2024
[i4]Lukas Heine, Fabian Hörst, Jana Fragemann, Gijs Luijten, Miriam Balzer, Jan Egger, Fin Hendrik Bahnsen, M. Saquib Sarfraz, Jens Kleesiek, Constantin Seibold:
Spacewalker: Traversing Representation Spaces for Fast Interactive Exploration and Annotation of Unstructured Data. CoRR abs/2409.16793 (2024)- 2023
- [e1]Jana Fragemann, Jianning Li, Xiao Liu, Sotirios A. Tsaftaris, Jan Egger, Jens Kleesiek:
Medical Applications with Disentanglements - First MICCAI Workshop, MAD 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings. Lecture Notes in Computer Science 13823, Springer 2023, ISBN 978-3-031-25045-3 [contents] - 2022
- [c2]Jana Fragemann, Xiao Liu, Jianning Li, Sotirios A. Tsaftaris, Jan Egger, Jens Kleesiek:
Applying Disentanglement in the Medical Domain: An Introduction for the MAD Workshop. MAD@MICCAI 2022: 3-11 - [c1]Jianning Li, Jana Fragemann, Seyed-Ahmad Ahmadi, Jens Kleesiek, Jan Egger:
Training β-VAE by Aggregating a Learned Gaussian Posterior with a Decoupled Decoder. MAD@MICCAI 2022: 70-92 - [i3]Jana Fragemann, Lynton Ardizzone, Jan Egger, Jens Kleesiek:
Review of Disentanglement Approaches for Medical Applications - Towards Solving the Gordian Knot of Generative Models in Healthcare. CoRR abs/2203.11132 (2022) - [i2]Lars Heiliger, Zdravko Marinov
, André Ferreira, Jana Fragemann, Jacob Murray, David Kersting, Rainer Stiefelhagen, Jens Kleesiek:
AutoPET Challenge: Combining nn-Unet with Swin UNETR Augmented by Maximum Intensity Projection Classifier. CoRR abs/2209.01112 (2022) - [i1]Jianning Li, Jana Fragemann, Seyed-Ahmad Ahmadi, Jens Kleesiek, Jan Egger:
Training β-VAE by Aggregating a Learned Gaussian Posterior with a Decoupled Decoder. CoRR abs/2209.14783 (2022)
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