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Jens Kleesiek
Jens Kleesiek
Institute for AI in Medicine (IKIM), University Hospital Essen
Verified email at uni-due.de - Homepage
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Cited by
Year
Deep MRI brain extraction: a 3D convolutional neural network for skull stripping
J Kleesiek, G Urban, A Hubert, D Schwarz, K Maier-Hein, M Bendszus, ...
NeuroImage 129, 460-469, 2016
5902016
IKK mediates ischemia-induced neuronal death
O Herrmann, B Baumann, R De Lorenzi, S Muhammad, W Zhang, ...
Nature medicine 11 (12), 1322-1329, 2005
3142005
Multi-modal Brain Tumor Segmentation using Deep Convolutional Neural Networks
G Urban, M Bendszus, FA Hamprecht, J Kleesiek
MICCAI Brain Tumor Segmentation Challenge (BraTS) Workshop, 31-35, 2014
2952014
Medical deep learning—A systematic meta-review
J Egger, C Gsaxner, A Pepe, KL Pomykala, F Jonske, M Kurz, J Li, ...
Computer methods and programs in biomedicine 221, 106874, 2022
1792022
ChatGPT in healthcare: a taxonomy and systematic review
J Li, A Dada, B Puladi, J Kleesiek, J Egger
Computer Methods and Programs in Biomedicine, 108013, 2024
1752024
Common limitations of image processing metrics: A picture story
A Reinke, MD Tizabi, CH Sudre, M Eisenmann, T Rädsch, M Baumgartner, ...
arXiv preprint arXiv:2104.05642, 2021
1722021
Can Virtual Contrast Enhancement in Brain MRI Replace Gadolinium?: A Feasibility Study
J Kleesiek, JN Morshuis, F Isensee, K Deike-Hofmann, D Paech, ...
Investigative radiology 54 (10), 653-660, 2019
1422019
Metrics reloaded: recommendations for image analysis validation
L Maier-Hein, A Reinke, P Godau, MD Tizabi, F Buettner, E Christodoulou, ...
Nature methods 21 (2), 195-212, 2024
1142024
Metrics reloaded: Pitfalls and recommendations for image analysis validation
L Maier-Hein, A Reinke, E Christodoulou, B Glocker, P Godau, F Isensee, ...
arXiv preprint arXiv:2206.01653, 2022
1122022
DALSA: Domain Adaptation for Supervised Learning from Sparsely Annotated MR Images.
M Goetz, C Weber, F Binczyk, J Polanska, R Tarnawski, ...
IEEE transactions on medical imaging, 2015
1082015
Semiautomatically Quantified Tumor Volume Using 68Ga-PSMA-11 PET as a Biomarker for Survival in Patients with Advanced Prostate Cancer
R Seifert, K Herrmann, J Kleesiek, M Schäfers, V Shah, Z Xu, G Chabin, ...
Journal of Nuclear Medicine 61 (12), 1786-1792, 2020
1032020
Analysis of PSMA expression and outcome in patients with advanced Prostate Cancer receiving 177Lu-PSMA-617 Radioligand Therapy
R Seifert, K Seitzer, K Herrmann, K Kessel, M Schäfers, J Kleesiek, ...
Theranostics 10 (17), 7812, 2020
1032020
PSMA PET total tumor volume predicts outcome of patients with advanced prostate cancer receiving [177Lu]Lu-PSMA-617 radioligand therapy in a bicentric analysis
R Seifert, K Kessel, K Schlack, M Weber, K Herrmann, M Spanke, ...
European Journal of Nuclear Medicine and Molecular Imaging 48, 1200-1210, 2021
1022021
ilastik for Multi-modal Brain Tumor Segmentation
J Kleesiek, A Biller, G Urban, U Köthe, M Bendszus, FA Hamprecht
MICCAI Brain Tumor Segmentation Challenge (BraTS) Workshop, 12-17, 2014
902014
The federated tumor segmentation (fets) challenge
S Pati, U Baid, M Zenk, B Edwards, M Sheller, GA Reina, P Foley, ...
arXiv preprint arXiv:2105.05874, 2021
852021
Improved Brain Tumor Classification by Sodium MR Imaging: Prediction of IDH Mutation Status and Tumor Progression
A Biller, S Badde, A Nagel, JO Neumann, W Wick, A Hertenstein, ...
American Journal of Neuroradiology 37 (1), 66-73, 2016
832016
The HoloLens in medicine: A systematic review and taxonomy
C Gsaxner, J Li, A Pepe, Y Jin, J Kleesiek, D Schmalstieg, J Egger
Medical Image Analysis 85, 102757, 2023
632023
Understanding metric-related pitfalls in image analysis validation
A Reinke, MD Tizabi, M Baumgartner, M Eisenmann, D Heckmann-Nötzel, ...
Nature methods 21 (2), 182-194, 2024
572024
Joint Imaging Platform for Federated Clinical Data Analytics
J Scherer, M Nolden, J Kleesiek, J Metzger, K Kades, V Schneider, ...
JCO Clinical Cancer Informatics 4, 1027-1038, 2020
552020
Reference-guided pseudo-label generation for medical semantic segmentation
CM Seibold, S Reiß, J Kleesiek, R Stiefelhagen
Proceedings of the AAAI Conference on Artificial Intelligence 36 (2), 2171-2179, 2022
522022
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