Thilo Sentker
Dr. rer. nat.
Thilo Sentker
  • Postdoc


W36 , EG, Raumnummer 008
Deutsch (Muttersprache)




Deep learning-based conditional inpainting for restoration of artifact-affected 4D CT images
Madesta F, Sentker T, Gauer T, Werner R
MED PHYS. 2024;51(5):3437-3454.


Self-Supervision for Medical Image Classification: State-of-the-Art Performance with ~100 Labeled Training Samples per Class
Nielsen M, Wenderoth L, Sentker T, Werner R

Clinical application of breathing-adapted 4D CT: image quality comparison to conventional 4D CT
Werner R, Szkitsak J, Madesta F, Büttgen L, Wimmert L, Sentker T, Fietkau R, Haderlein M, Bert C, Gauer T, Hofmann C
STRAHLENTHER ONKOL. 2023;199(7):686-691.


Deep Learning-Based Automated Thrombolysis in Cerebral Infarction Scoring: A Timely Proof-of-Principle Study
Nielsen M, Waldmann M, Frölich A, Flottmann F, Hristova E, Bendszus M, Seker F, Fiehler J, Sentker T, Werner R
STROKE. 2021;52(11):3497-3504.

Comparison of intelligent 4D CT sequence scanning and conventional spiral 4D CT: a first comprehensive phantom study
Werner R, Szkitsak J, Sentker T, Madesta F, Schwarz A, Fernolendt S, Vornehm M, Gauer T, Bert C, Hofmann C
PHYS MED BIOL. 2021;66(1):.


Skin Lesion Classification Using CNNs with Patch-Based Attention and Diagnosis-Guided Loss Weighting
Gessert N, Sentker T, Madesta F, Schmitz R, Kniep H, Baltruschat I, Werner R, Schlaefer A
IEEE T BIO-MED ENG. 2020;67(2):495-503.

Self-contained deep learning-based boosting of 4D cone-beam CT reconstruction
Madesta F, Sentker T, Gauer T, Werner R
MED PHYS. 2020;47(11):5619-5631.

Time Matters: Handling Spatio-Temporal Perfusion Information for Automated TICI Scoring
Nielsen M, Waldmann M, Sentker T, Frölich A, Fiehler J, Werner R
2020. MICCAI 2020. 1. Aufl. Springer Nature Switzerland, 86-96.

4D CT image artifacts affect local control in SBRT of lung and liver metastases
Sentker T, Schmidt V, Ozga A, Petersen C, Madesta F, Hofmann C, Werner R, Gauer T
RADIOTHER ONCOL. 2020;148:229-234.

Intelligent 4D CT sequence scanning (i4DCT): First scanner prototype implementation and phantom measurements of automated breathing signal-guided 4D CT
Werner R, Sentker T, Madesta F, Schwarz A, Vornehm M, Gauer T, Hofmann C
MED PHYS. 2020;47(6):2408-2412.


Combining Good Old Random Forest and DeepLabv3+ for ISLES 2018 CT-Based Stroke Segmentation
Böhme L, Madesta F, Sentker T, Werner R
2019. Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries. 1. Aufl. Springer, 335-342.

Self-consistent deep learning-based boosting of 4D cone-beam computed tomography reconstruction
Madesta F, Gauer T, Sentker T, Werner R
2019. Medical Imaging 2019: Image Processing. 1. Aufl. SPIE , 1094902.

Patient-specific 4D Monte Carlo dose accumulation using correspondence-model-based motion prediction
Sentker T, Madesta F, Werner R
2019. Medical Imaging 2019: Image-Guided Procedures, Robotic Interventions, and Modeling. Fei B, Linte C (Hrsg.). 1. Aufl. SPIE , 1095109.

Intelligent 4D CT sequence scanning (i4DCT): Concept and performance evaluation
Werner R, Sentker T, Madesta F, Gauer T, Hofmann C
MED PHYS. 2019;46(8):3462-3474.


Under-reported dosimetry errors due to interplay effects during VMAT dose delivery in extreme hypofractionated stereotactic radiotherapy
Gauer T, Sothmann T, Blanck O, Petersen C, Werner R
STRAHLENTHER ONKOL. 2018;194(6):570-579.

Influence of deformable image registration on 4D dose simulation for extracranial SBRT: A multi-registration framework study
Mogadas N, Sothmann T, Knopp T, Gauer T, Petersen C, Werner R
RADIOTHER ONCOL. 2018;127(2):225-232.

Einfluss nicht-rigider Bildregistrierung auf 4D-Dosissimulation bei extrakranieller SBRT
Mogadas N, Sothmann T, Werner R
2018. Bildverarbeitung für die Medizin. Maier A, Deserno T, Handels H, Maier-Hein K, Palm C, Tolxdorff T (Hrsg.). 1. Aufl. Springer Vieweg, 188-193.

Analysis of the influence of imaging-related uncertainties on cerebral aneurysm deformation quantification using a no-deformation physical flow phantom
Schetelig D, Sedlacik J, Fiehler J, Frölich A, Knopp T, Sothmann T, Waschkewitz J, Werner R
SCI REP-UK. 2018;8(1):11004.

GDL-FIRE4D: Deep Learning-based fast 4D CT image registration
Sentker T, Madesta F, Werner R
2018. Medical Image Computing and Computer Assisted Intervention – MICCAI 2018. Frangi A, Schnabel J, Davatzikos C, Alberola-López C, Fichtinger G (Hrsg.). 1. Aufl. Springer, 765 - 773.

Influence of 4D CT motion artifacts on correspondence model-based 4D dose accumulation
Sothmann T, Gauer T, Werner R
2018. Medical Imaging 2018: Image-Guided Procedures, Robotic Interventions, and Modeling. Fei B, Webster R (Hrsg.). 1. Aufl. SPIE , 105760F-1 - 105760F-7.

Technical considerations for automated low-pitch spiral 4D CT scanning protocol selection
Werner R, Sothmann T, Madesta F, Gauer T, Hofmann C
2018. Medical Imaging 2018: Physics of Medical Imaging. Lo J, Schmidt T, Chen G (Hrsg.). 1. Aufl. SPIE , 105733Y-1-105733Y-6.


4D dose simulation in volumetric arc therapy: Accuracy and affecting parameters
Sothmann T, Gauer T, Werner R
PLOS ONE. 2017;12(2):e0172810.

Correspondence model-based 4D VMAT dose simulation for analysis of local metastasis recurrence after extracranial SBRT
Sothmann T, Gauer T, Wilms M, Werner R
PHYS MED BIOL. 2017;62(23):9001-9017.

Low Rank and Sparse Matrix Decomposition as Stroke Segmentation Prior: Useful or Not? A Random Forest-Based Evaluation Study
Werner R, Schetelig D, Sothmann T, Mücke E, Wilms M, Cheng B, Forkert N
2017. Bildverarbeitung für die Medizin 2017. Maier-Hein K, Deserno T, Handels H, Tolxdorff T (Hrsg.). 1. Aufl. Springer, 161-166.


A dosimetric comparison of real-time adaptive and non-adaptive radiotherapy: A multi-institutional study encompassing robotic, gimbaled, multileaf collimator and couch tracking
Colvill E, Booth J, Nill S, Fast M, Bedford J, Oelfke U, Nakamura M, Poulsen P, Worm E, Hansen R, Ravkilde T, Scherman Rydhög J, Pommer T, Munck Af Rosenschold P, Lang S, Guckenberger M, Groh C, Herrmann C, Verellen D, Poels K, Wang L, Hadsell M, Sothmann T, Blanck O, Keall P
RADIOTHER ONCOL. 2016;119(1):159-65.

Real time tracking in liver SBRT: comparison of CyberKnife and Vero by planning structure-based γ-evaluation and dose-area-histograms
Sothmann T, Blanck O, Poels K, Werner R, Gauer T
PHYS MED BIOL. 2016;61(4):1677-91.

Letzte Aktualisierung aus dem FIS: 26.05.2024 - 00:46 Uhr