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Thilo Sentker
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- affiliation: University Medical Center Hamburg-Eppendorf, Hamburg, Germany
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2020 – today
- 2023
- [i5]Maximilian Nielsen, Laura Wenderoth, Thilo Sentker, René Werner:
Self-supervision for medical image classification: state-of-the-art performance with ~100 labeled training samples per class. CoRR abs/2304.05163 (2023) - [i4]Aneeq Zia, Kiran Bhattacharyya, Xi Liu, Max Berniker, Ziheng Wang, Rogerio Nespolo, Satoshi Kondo, Satoshi Kasai, Kousuke Hirasawa, Bo Liu, David Austin, Yiheng Wang, Michal Futrega, Jean-Francois Puget, Zhenqiang Li, Yoichi Sato, Ryo Fujii, Ryo Hachiuma, Mana Masuda, Hideo Saito, An Wang, Mengya Xu, Mobarakol Islam, Long Bai, Winnie Pang, Hongliang Ren, Chinedu Innocent Nwoye, Luca Sestini, Nicolas Padoy, Maximilian Nielsen, Samuel Schüttler, Thilo Sentker, Hümeyra Husseini, Ivo M. Baltruschat, Rüdiger Schmitz
, René Werner, Aleksandr Matsun, Mugariya Farooq, Numan Saeed, Jose Renato Restom Viera, Mohammad Yaqub, Neil Getty, Fangfang Xia, Zixuan Zhao
Surgical tool classification and localization: results and methods from the MICCAI 2022 SurgToolLoc challenge. CoRR abs/2305.07152 (2023) - 2022
- [i3]Frederic Madesta, Thilo Sentker, Tobias Gauer, René Werner:
Deep learning-based conditional inpainting for restoration of artifact-affected 4D CT images. CoRR abs/2203.06431 (2022) - 2021
- [c9]Maximilian Nielsen, Moritz Waldmann, Thilo Sentker, Andreas Frölich, Jens Fiehler, René Werner:
Abstract: Time Matters - Handling Spatio-temporal Perfusion Information for Automated Treatment in Cerebral Ischemia Scoring. Bildverarbeitung für die Medizin 2021: 297 - 2020
- [j1]Nils Gessert
Skin Lesion Classification Using CNNs With Patch-Based Attention and Diagnosis-Guided Loss Weighting. IEEE Trans. Biomed. Eng. 67(2): 495-503 (2020) - [c8]Maximilian Nielsen, Moritz Waldmann, Thilo Sentker
Time Matters: Handling Spatio-Temporal Perfusion Information for Automated TICI Scoring. MICCAI (6) 2020: 86-96
2010 – 2019
- 2019
- [c7]Thilo Sentker
Patient-specific 4D Monte Carlo dose accumulation using correspondence-model-based motion prediction. Image-Guided Procedures 2019: 1095109 - [c6]Frederic Madesta, Tobias Gauer, Thilo Sentker
Self-consistent deep learning-based boosting of 4D cone-beam computed tomography reconstruction. Image Processing 2019: 1094902 - [i2]Nils Gessert, Thilo Sentker, Frederic Madesta, Rüdiger Schmitz, Helge Kniep, Ivo M. Baltruschat, René Werner, Alexander Schlaefer:
Skin Lesion Classification Using CNNs with Patch-Based Attention and Diagnosis-Guided Loss Weighting. CoRR abs/1905.02793 (2019) - 2018
- [c5]Nik Mogadas, Thilo Sothmann
Einfluss nicht-rigider Bildregistrierung auf 4D-Dosissimulation bei extrakranieller SBRT. Bildverarbeitung für die Medizin 2018: 188-193 - [c4]Lasse Böhme, Frederic Madesta, Thilo Sentker
Combining Good Old Random Forest and DeepLabv3+ for ISLES 2018 CT-Based Stroke Segmentation. BrainLes@MICCAI (1) 2018: 335-342 - [c3]Thilo Sentker
GDL-FIRE ^\text 4D : Deep Learning-Based Fast 4D CT Image Registration. MICCAI (1) 2018: 765-773 - [c2]Thilo Sothmann
Influence of 4D CT motion artifacts on correspondence model-based 4D dose accumulation. Image-Guided Procedures 2018: 105760F - [i1]Nils Gessert
Skin Lesion Diagnosis using Ensembles, Unscaled Multi-Crop Evaluation and Loss Weighting. CoRR abs/1808.01694 (2018) - 2017
- [c1]René Werner, Daniel Schetelig, Thilo Sothmann
Low Rank and Sparse Matrix Decomposition as Stroke Segmentation Prior: Useful or Not? A Random Forest-Based Evaluation Study. Bildverarbeitung für die Medizin 2017: 161-166
Coauthor Index
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