2024

Time-resolved role of P2X4 and P2X7 during CD8+ T cell activation
Brock V, Lory N, Möckl F, Birus M, Stähler T, Woelk L, Jaeckstein M, Heeren J, Koch-Nolte F, Rissiek B, Mittrücker H, Guse A, Werner R, Diercks B
FRONT IMMUNOL. 2024;15:1258119.

Stability analysis of patient-specific 4DCT- and 4DCBCT-based correspondence models
Büttgen L, Werner R, Gauer T
MED PHYS. 2024;51(9):5890-5900.

Spatial normalization for voxel-based lesion symptom mapping: impact of registration approaches
Jühling D, Rajashekar D, Cheng B, Hilgetag C, Forkert N, Werner R
FRONT NEUROSCI-SWITZ. 2024;18:1296357.

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.

Monte Carlo-based simulation of virtual 3 and 4-dimensional cone-beam computed tomography from computed tomography images: An end-to-end framework and a deep learning-based speedup strategy
Madesta F, Sentker T, Rohling C, Gauer T, Schmitz R, Werner R
PHYS IMAG RADIAT ONC. 2024;32:100644.

Deep Image Prior for Spatio-temporal Fluorescence Microscopy Images: DECO-DIP
Meyer L, Woelk L, Gee C, Lohr C, Arcot Kannabiran S, Diercks B, Werner R
2024. Bildverarbeitung für die Medizin 2024. Maier A, Deserno T, Handels H, Maier-Hein K, Palm C, Tolxdorff T (eds.). 1. ed. Springer Vieweg, 322-327.

Benchmarking machine learning-based real-time respiratory signal predictors in 4D SBRT
Wimmert L, Nielsen M, Madesta F, Gauer T, Hofmann C, Werner R
MED PHYS. 2024;51(5):3173-3183.

Impact of breathing signal-guided dose modulation on step-and-shoot 4D CT image reconstruction
Wimmert L, Schwarz A, Gauer T, Hofmann C, Dickmann J, Sentker T, Werner R
MED PHYS. 2024;51(10):7119-7126.

DARTS: an open-source Python pipeline for Ca2+ microdomain analysis in live cell imaging data
Woelk L, Kovacevic D, Husseini H, Förster F, Gerlach F, Möckl F, Altfeld M, Guse A, Diercks B, Werner R
FRONT IMMUNOL. 2024;14:1299435.

2023

Discordant and Converting Receptor Expressions in Brain Metastases from Breast Cancer: MRI-Based Non-Invasive Receptor Status Tracking
Heitkamp A, Madesta F, Amberg S, Wahaj S, Schröder T, Bechstein M, Meyer L, Broocks G, Hanning U, Gauer T, Werner R, Fiehler J, Gellißen S, Kniep H
CANCERS. 2023;15(11):.

Label Efficient Classification in Liquid Biopsy Data by Self-supervision
Husseini H, Nielsen M, Pantel K, Wikman H, Riethdorf S, Werner R
2023. Bildverarbeitung für die Medizin 2023. Deserno T, Handels H, Maier A, Maier-Hein K, Palm C, Tolxdorff T (eds.). 1. ed. Springer Vieweg, 261-266.

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
BIOENGINEERING-BASEL. 2023;10(8):.

Dose reduction in sequence scanning 4D CT imaging through respiratory signal-guided tube current modulation: A feasibility study
Schwarz A, Werner R, Wimmert L, Vornehm M, Gauer T, Hofmann C
MED PHYS. 2023;50(12):7539-7547.

Extending Tempcyclegan for Virtual Augmentation of Gastrointestinal Endoscopy Training Simulators
Wallrodt M, Schulz-Alsen M, Ehlken H, Rösch T, Schmitz R, Werner R
2023. Bildverarbeitung für die Medizin 2023. Deserno T, Handels H, Maier A, Maier-Hein K, Palm C, Tolxdorff T (eds.). 1. ed. Springer Vieweg, 3-8.

Adhesion to laminin-1 and collagen IV induces the formation of Ca2+ microdomains that sensitize mouse T cells for activation
Weiß M, Hernandez L, Gil Montoya D, Löhndorf A, Krüger A, Kopdag M, Uebler L, Landwehr M, Nawrocki M, Huber S, Woelk L, Werner R, Failla A, Flügel A, Dupont G, Guse A, Diercks B
SCI SIGNAL. 2023;16(790):eabn9405.

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.

2022

P2X4 and P2X7 are essential players in basal T cell activity and Ca2+ signaling milliseconds after T cell activation
Brock V, Wolf I, Er-Lukowiak M, Lory N, Stähler T, Woelk L, Mittrücker H, Müller C, Koch-Nolte F, Rissiek B, Werner R, Guse A, Diercks B
SCI ADV. 2022;8(5):.

Evaluation of magnetic resonance imaging-based radiomics characteristics for differentiation of benign and malignant peripheral nerve sheath tumors in neurofibromatosis type 1
Ristow I, Madesta F, Well L, Shenas F, Wright F, Molwitz I, Farschtschi S, Bannas P, Adam G, Mautner V, Werner R, Salamon J
NEURO-ONCOLOGY. 2022;24(10):1790-1798.

Artificial intelligence in GI endoscopy: stumbling blocks, gold standards and the role of endoscopy societies
Schmitz R, Werner R, Repici A, Bisschops R, Meining A, Zornow M, Messmann H, Hassan C, Sharma P, Rösch T
GUT. 2022;71(3):451-454.

Reinforcement learning-basierte Patchpriorisierung zur beschleunigten Segmentierung von hochauflösenden Endoskopievideodaten
Schüttler S, Madesta F, Rösch T, Werner R, Schmitz R
2022. Informatik aktuell: Bildverarbeitung für die Medizin. Klaus M, Deserno T, Handels H, Maier A, Palm C, Tolxdorff T (eds.). 1. ed. Wiesbaden: Springer Vieweg, 339-344.

Dekonvolution von Mikroskopiedaten bei niedrigem Signal-Rausch-Verhältnis
Woelk L, Diercks B, Werner R
BIOspektrum. 2022;2022(28):720-722.

2021

Reduktion der Kalibrierungszeit für die Magnetpartikelbildgebung mittels Deep Learning
Baltruschat I, Szwargulski P, Griese F, Grosser M, Werner R, Knopp T
2021. Bildverarbeitung für die Medizin 2021 - Proceedings, German Workshop on Medical Image Computing, 2021. Palm C, Handels H, Maier-Hein K, Deserno T, Maier A, Tolxdorff T (eds.). Springer Science and Business Media Deutschland GmbH, 337.

Dual NADPH oxidases DUOX1 and DUOX2 synthesize NAADP and are necessary for Ca2+ signaling during T cell activation
Gu F, Krüger A, Roggenkamp H, Alpers R, Lodygin D, Jaquet V, Möckl F, Hernandez C L, Winterberg K, Bauche A, Rosche A, Grasberger H, Kao J, Schetelig D, Werner R, Schröder K, Carty M, Bowie A, Huber S, Meier C, Mittrücker H, Heeren J, Krause K, Flügel A, Diercks B, Guse A
SCI SIGNAL. 2021;14(709):.

Spatio-temporal feature learning with reservoir computing for T-cell segmentation in live-cell Ca2+ fluorescence microscopy
Hadaeghi F, Diercks B, Schetelig D, Damicelli F, Wolf I, Werner R
SCI REP-UK. 2021;11(1):.

PAIP 2019: Liver cancer segmentation challenge
Kim Y, Jang H, Lee K, Park S, Min S, Hong C, Park J, Lee K, Kim J, Hong W, Jung H, Liu Y, Rajkumar H, Khened M, Krishnamurthi G, Yang S, Wang X, Han C, Kwak J, Ma J, Tang Z, Marami B, Zeineh J, Zhao Z, Heng P, Schmitz R, Madesta F, Rösch T, Werner R, Tian J, Puybareau E, Bovio M, Zhang X, Zhu Y, Chun S, Jeong W, Park P, Choi J
MED IMAGE ANAL. 2021;67:101854.

Single Image-Based Vignetting Correction for Improving the Consistency of Neural Activity Analysis in 2-Photon Functional Microscopy
Li D, Wang G, Werner R, Xie H, Guan J, Hilgetag C
FRONT NEUROINFORM. 2021;15:674439.

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.

HN1L/JPT2: A signaling protein that connects NAADP generation to Ca2+ microdomain formation
Roggenkamp H, Khansahib I, Hernandez C L, Zhang Y, Lodygin D, Krüger A, Gu F, Möckl F, Löhndorf A, Wolters V, Woike D, Rosche A, Bauche A, Schetelig D, Werner R, Schlüter H, Failla A, Meier C, Fliegert R, Walseth T, Flügel A, Diercks B, Guse A
SCI SIGNAL. 2021;14(675):.

Multi-scale fully convolutional neural networks for histopathology image segmentation: From nuclear aberrations to the global tissue architecture
Schmitz R, Madesta F, Nielsen M, Krause J, Steurer S, Werner R, Rösch T
MED IMAGE ANAL. 2021;70:101996.

First clinical evaluation of breathing controlled four-dimensional computed tomography imaging
Szkitsak J, Werner R, Fernolendt S, Schwarz A, Ott O, Fietkau R, Hofmann C, Bert C
PHYS IMAG RADIAT ONC. 2021;20:56-61.

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):.

Time-Dependent Image Restoration of Low-SNR Live-Cell Ca2+ Fluorescence Microscopy Data
Woelk L, Kannabiran S, Brock V, Gee C, Lohr C, Guse A, Diercks B, Werner R
INT J MOL SCI. 2021;22:.

2020

3d-SMRnet: Achieving a New Quality of MPI System Matrix Recovery by Deep Learning
Baltruschat I, Szwargulski P, Griese F, Grosser M, Werner R, Knopp T
2020. Medical Image Computing and Computer Assisted Intervention – MICCAI 2020. 1. ed. Springer Nature Switzerland, 74-82.

Skin lesion classification using ensembles of multi-resolution EfficientNets with meta data
Gessert N, Nielsen M, Shaikh M, Werner R, Schlaefer A
METHODSX. 2020;7(7):100864.

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.

Reservoir Computing for Jurkat T-cell Segmentation in High Resolution Live Cell Ca2+ Fluorescence Microscopy
Hadäghi F, Diercks B, Wolf I, Werner R
Proc IEEE ISBI 2020. 2020;(1):1587-1591.

Widening the Focus: Biomedical Image Segmentation Challenges and the Underestimated Role of Patch Sampling and Inference Strategies
Madesta F, Schmitz R, Rösch T, Werner R
2020. MICCAI 2020. 1. ed. Springer Nature Switzerland, 289-298.

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. ed. Springer Nature Switzerland, 86-96.

Technological quality requirements for stereotactic radiotherapy: Expert review group consensus from the DGMP Working Group for Physics and Technology in Stereotactic Radiotherapy
Schmitt D, Blanck O, Gauer T, Fix M, Brunner T, Fleckenstein J, Loutfi-Krauss B, Manser P, Werner R, Wilhelm M, Baus W, Moustakis C
STRAHLENTHER ONKOL. 2020;196(5):421-443.

Künstliche Intelligenz in der Endoskopie: Neuronale Netze und maschinelles Sehen – Techniken und Perspektiven (reprint Z Gastroenterol 2019; 57(06): 767-780)
Schmitz R, Werner R, Rösch T
Endo-Praxis. 2020;2020(36):30-43.

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.

Combining Direct 3D Volume Rendering and Magnetic Particle Imaging to Advance Radiation-Free Real-Time 3D Guidance of Vascular Interventions
Weller D, Salamon J, Frölich A, Möddel M, Knopp T, Werner R
CARDIOVASC INTER RAD. 2020;43(2):322-330.

Digital Health meets Hamburg integrated medical degree program iMED: Concept and introduction of the new interdisciplinary 2nd track Digital Health
Werner R, Henningsen M, Schmitz R, Guse A, Augustin M, Gauer T
GMS J MED EDU. 2020;37(6):Doc61.

Künstliche Intelligenz in der Medizin
Werner R, Schmitz R
2020. Digitale Medizin. Matusiewicz D, Henningsen M, Ehlers J (eds.). 1. ed. Medizinisch Wissenschaftliche Verlagsgesellschaft, 125-138.

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.

2019

Wrestling the Devil of Wasting Time: MPI System Matrix Recovery by Deep Learning
Baltruschat I, Griese F, Szwargulski P, Werner R, Knopp T
2019. 9th International Workschop on Magnetic Particle Imaging (IWMPI 2018) . 1. ed. Infinite Science Publishing, .

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. ed. Springer, 335-342.

High-Resolution Calcium Imaging Method for Local Calcium Signaling
Diercks B, Werner R, Schetelig D, Wolf I, Guse A
2019. Calcium-Binding Proteins of the EF-Hand Superfamily. 1. ed. Humana Press, 27-39.

MRI-based field of view selection for precise, real-time targeting in MPI
Griese F, Prieske M, Möddel M, Werner R, Knopp T
2019. 9th International Workshop on Magnetic Particle Imaging (IWMPI 2019). 207-208.

Radiomics of Brain MRI: Utility in Prediction of Metastatic Tumor Type
Kniep H, Madesta F, Schneider T, Hanning U, Schönfeld M, Schön G, Fiehler J, Gauer T, Werner R, Gellissen S
RADIOLOGY. 2019;290(2):479-487.

Discrimination of the hierarchical structure of cortical layers in 2-photon microscopy data by combined unsupervised and supervised machine learning
Li D, Zavaglia M, Wang G, Xie H, Hu Y, Werner R, Guan J, Hilgetag C
SCI REP-UK. 2019;9(1):7424.

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. ed. SPIE , 1094902.

Machbarkeitsstudie zur CNN-basierten Identifikation und TICI-Klassifizierung zerebraler ischämischer Infarkte in DSA-Daten
Nielsen M, Waldmann M, Frölich A, Fiehler J, Werner R
2019. Bildverarbeitung für die Medizin 2019. 1. ed. Springer Vieweg, 200-205.

Künstliche Intelligenz in der Endoskopie: Neuronale Netze und maschinelles Sehen – Techniken und Perspektiven
Schmitz R, Werner R, Rösch T
Z GASTROENTEROL. 2019;57(6):767-780.

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 (eds.). 1. ed. 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.

Toward employing the full potential of magnetic particle imaging: exploring visualization techniques and clinical use cases for real-time 3D vascular imaging
Werner R, Weller D, Salamon J, Möddel M, Knopp T
2019. Medical Imaging 2019: Biomedical Applications in Molecular, Structural, and Functional Imaging. 1. ed. SPIE , 109531V.

2018

ORAI1, STIM1/2, and RYR1 shape subsecond Ca2+ microdomains upon T cell activation.
Diercks B, Werner R, Weidemüller P, Czarniak F, Hernandez L, Lehmann C, Rosche A, Krüger A, Kaufmann U, Vaeth M, Failla A, Zobiak B, Kandil F, Schetelig D, Ruthenbeck A, Meier C, Lodygin D, Flügel A, Ren D, Wolf I, Feske S, Guse A
SCI SIGNAL. 2018; 11(561):eaat0358.

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 (eds.). 1. ed. Springer Vieweg, 188-193.

Self-reference-based and during-registration detection of motion artifacts in spatio-temporal image data
Mücke E, Handels H, Werner R
2018. Medical Imaging 2018: Image Processing. Angelini E, Landman B (eds.). 1. ed. SPIE , 10574-1 - 10574-7.

A new cerebral vessel benchmark dataset (CAPUT) for validation of image-based aneurysm deformation estimation algorithms
Schetelig D, Frölich A, Knopp T, Werner R
SCI REP-UK. 2018;8(1):15999.

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 (eds.). 1. ed. 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 (eds.). 1. ed. 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 (eds.). 1. ed. SPIE , 105733Y-1-105733Y-6.

2017

Systematic Analysis of Jurkat T-Cell Deformation in Fluorescence Microscopy Data
Antoni S, Ismail O, Schetelig D, Diercks B, Werner R, Wolf I, Guse A, Schlaefer A
2017. Bildverarbeitung für die Medizin 2017. Maier-Hain K, Deserno T, Handels H, Thomas T (eds.). 1. ed. Springer, 275-280.

Submillimeter-Accurate Marker Localization within Low Gradient Magnetic Particle Imaging Tomograms
Griese F, Knopp T, Werner R, Schlaefer A, Möddel M
Int J Magn Part Imag. 2017;3(1):article ID 1703011.

Defining Restrictions and Limits of Registration-Based Quantification of Geometric Deformation in Cerebral Blood Vessels
Schetelig D, Sedlacik J, Schmidt F, Fiehler J, Werner R
2017. Bildverarbeitung für die Medizin 2017. Maier-Hain K, Deserno T, Handels H, Tolxdorff T (eds.). 1. ed. Springer, 191-196.

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.

Reduction of breathing irregularity-related motion artifacts in low-pitch spiral 4D CT by optimized projection binning
Werner R, Hofmann C, Mücke E, Gauer T
RADIAT ONCOL. 2017;12(1):article ID 100.

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 (eds.). 1. ed. Springer, 161-166.

Subpopulation-based correspondence modelling for improved respiratory motion estimation in the presence of inter-fraction motion variations
Wilms M, Werner R, Yamamoto T, Handels H, Ehrhardt J
PHYS MED BIOL. 2017;62(14):5823-5839.

2016

Required transition from research to clinical application: Report on the 4D treatment planning workshops 2014 and 2015
Knopf A, Stützer K, Richter C, Rucinski A, da Silva J, Phillips J, Engelsman M, Shimizu S, Werner R, Jakobi A, Göksel O, Zhang Y, Oshea T, Fast M, Perrin R, Bert C, Rinaldi I, Korevaar E, McClelland J
PHYS MEDICA. 2016;32(7):874-882.

Regional Lung Ventilation Analysis Using Temporally Resolved Magnetic Resonance Imaging
Kolb C, Wetscherek A, Buzan M, Werner R, Rank C, Kachelrie M, Kreuter M, Dinkel J, Heuel C, Maier-Hein K
J COMPUT ASSIST TOMO. 2016;40(6):899-906.

Phantom-based ground-truth generation for cerebral vessel segmentation and pulsatile deformation analysis
Schetelig D, Säring D, Illies T, Sedlacik J, Kording F, Werner R
2016. Medical Imaging 2016: Image-Guided Procedures, Robotic Interventions, and Modeling. Webster, III R, Yaniv Z (eds.). 1. ed. SPIE , 978622-1-6.

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.

Geometrieplanung und Bildregistrierung mittels bimodaler Fiducial-Marker für Magnetic Particle Imaging
Werner F, Jung C, Hofmann M, Salamon J, Werner R, Säring D, Kaul M, Them K, Weber O, Mummert T, Adam G, Ittrich H, Knopp T
2016. Bildverarbeitung für die Medizin 2016. Tolxdorff T, Deserno T, Handels H, Meinzer H (eds.). 1. ed. Springer, 128-133.

Geometry planning and image registration in magnetic particle imaging using bimodal fiducial markers
Werner F, Jung C, Hofmann M, Werner R, Salamon J, Säring D, Kaul M, Them K, Weber O, Mummert T, Adam G, Ittrich H, Knopp T
MED PHYS. 2016;43(6):2884-2893.

Optimized projection binning for improved helical amplitude- and phase-based 4DCT reconstruction in the presence of breathing irregularity
Werner R, Hofmann C, Gauer T
2016. Medical Imaging 2016: Physics of Medical Imaging. Kontos D, Flohr T, Lo J (eds.). 1. ed. SPIE , 978313-1-6.

Beyond cost function masking: RPCA-based non-linear registration in the context of VLSM
Werner R, Wilms M, Cheng B, Forkert N
2016. International Workshop on Pattern Recognition in Neuroimaging, PRNI 2016, Trento, Italy, June 22-24, 2016. 1. ed. 1-4.

2015

Comparison of 3D and 4D Monte Carlo optimization in robotic tracking stereotactic body radiotherapy of lung cancer
Chan M, Werner R, Ayadi M, Blanck O
STRAHLENTHER ONKOL. 2015;191(2):161-71.

Variational Registration: A Flexible Open-Source ITK Toolbox for Nonrigid Image Registration
Ehrhardt J, Schmidt-Richberg A, Werner R, Handels H
2015. Bildverarbeitung für die Medizin 2015. Handels H, Deserno T, Meinzer H, Tolxdorff T (eds.). 1. ed. Berlin Heidelberg: Springer, 209-214.

Design, performance characteristics and application examples of a new 4D motion platform
Grohmann C, Frenzel T, Werner R, Cremers F
Z MED PHYS. 2015;25(2):156-167.

Respiratory surface motion measurement by Microsoft Kinect: implementation and evaluation of a clinical setup
Ortmüller J, Gauer T, Wilms M, Handels H, Werner R
Current Directions in Biomedical Engineering. 2015;1(1):270-273.

A Modular Framework for Post-Processing and Analysis of Fluorescence Microscopy Image Sequences of Subcellular Calcium Dynamics
Schetelig D, Wolf I, Diercks B, Fliegert R, Guse A, Schlaefer A, Werner R
2015. Bildverarbeitung für die Medizin 2015. Handels H, Deserno T, Meinzer H, Tolxdorff T (eds.). 1. ed. Berlin Heidelberg: Springer, 401-406.

Groupwise Registration for Robust Motion Field Estimation in Artifact-Affected 4D CT Images
Tack A, Kobayashi Y, Gauer T, Schlaefer A, Werner R
2015. MICCAI Workshop on Imaging and Computer Assistance in Radiation Therapy Workshop (ICART). 1. ed. 18-25.

Sensitivity of tumor motion simulation accuracy to lung biomechanical modeling approaches and parameters
Tehrani J, Yang Y, Werner R, Lu W, Low D, Guo X, Wang J
PHYS MED BIOL. 2015;60(22):8833-8849.

Reference geometry-based detection of (4D-)CT motion artifacts: a feasibility study
Werner R, Gauer T
2015. Medical Imaging 2015. Ourselin S, Styner M (eds.). 1. ed. SPIE , 0S1-7.

Population-based Correspondence Models for Respiratory Motion Estimation in the Presence of Interfraction Motion Variations
Wilms M, Werner R, Yamamoto T, Handels H, Ehrhardt J
2015. MICCAI workshop on Imaging and Computer Assistance in Radiation Therapy Workshop (ICART). 1. ed. 81-88.

Frontrunners of T cell activation: Initial, localized Ca2+ signals mediated by NAADP and the type 1 ryanodine receptor
Wolf I, Diercks B, Gattkowski E, Czarniak F, Kempski J, Werner R, Schetelig D, Mittrücker H, Schumacher V, von Osten M, Lodygin D, Flügel A, Fliegert R, Guse A
SCI SIGNAL. 2015;8(398):Art. ra102.

2014

High Accuracy Optical Flow for 3D Medical Image Registration Using the Census Cost Function
Hermann S, Werner R
2014. Image and Video Technology. Klette R, Rivera M, Satoh S (eds.). 1. ed. Berlin Heidelberg: Springer, 23-35.

TV-L1-based 3D Medical Image Registration with the Census Cost Function
Hermann S, Werner R
2014. Image and Video Technology. Klette R, Rivera M, Satoh S (eds.). 1. ed. Berlin, Heidelberg: Springer, 149-161.

Simulation of spatiotemporal CT data sets using a 4D MRI-based lung motion model
Marx M, Ehrhardt J, Werner R, Schlemmer H, Handels H
INT J COMPUT ASS RAD. 2014;9(3):401-9.

Kombination von Atemsignalen zur Optimierung der Prädiktion komplexer atmungsbedingter Organ- und Tumorbewegungen
Ortmüller J, Wilms M, Werner R, Handels H
2014. Bildverarbeitung für die Medizin 2014. Deserno T, Handels H, Meinzer H, Tolxdorff T (eds.). 1. ed. Berlin Heidelberg: Springer, 72-77.

Lung registration using automatically detected landmarks
Polzin T, Rühaak J, Werner R, Handels H, Modersitzki J
METHOD INFORM MED. 2014;53(4):250-6.

A Flexible Variational Registration Framework
Schmidt-Richberg A, Werner R, Handels H, Ehrhardt J
Insight Journal. 2014.

Estimation of lung motion fields in 4D CT data by variational non-linear intensity-based registration:A comparison and evaluation study
Werner R, Schmidt-Richberg A, Handels H, Ehrhardt J
PHYS MED BIOL. 2014;59(15):4247-60.

Statistical Analysis of Surrogate Signals to Incorporate Respiratory Motion Variability into Radiotherapy Treatment Planning
Wilms M, Ehrhardt J, Werner R, Marx M, Handels H
2014. Medical Imaging 2014. Yaniv Z, Holmes D (eds.). 1. ed. SPIE , 0J1-8.

Simulation of range imaging-based estimation of respiratory lung motion. Influence of noise, signal dimensionality and sampling patterns
Wilms M, Werner R, Blendowski M, Ortmüller J, Handels H
METHOD INFORM MED. 2014;53(4):257-63.

Multivariate regression approaches for surrogate-based diffeomorphic estimation of respiratory motion in radiation therapy
Wilms M, Werner R, Ehrhardt J, Schmidt-Richberg A, Schlemmer H, Handels H
PHYS MED BIOL. 2014;59(5):1147-64.

2013

Validation and Comparison of Approaches to Respiratory Motion Estimation
Kabus S, Klinder T, Murphy K, Werner R, Sarrut D
2013. 4D Modeling and Estimation of Respiratory Motion for Radiation Therapy. Ehrhardt J, Lorenz C (eds.). 1. ed. Springer, 159-183.

Decision Forests with Spatio-temporal Features for Graph-based Tumour Segmentation in 4D Lung CT
Mirzaei H, Tang L, Werner R, Hamarneh G
2013. Machine Learning in Medical Imaging. Wu G, Zhang D, Shen D, Yan P, Suzuki K, Wang F (eds.). 1. ed. Springer, 179-186.

Combining Automatic Landmark Detection and Variational Methods for Lung CT Registration
Thomas P, Jan R, Jan S, Werner R, Heldmann S, Handels H, Modersitzki J
2013. 5th Workshop on Pulmonary Image Analysis . Rit S, McClelland J, de Bruijne M, Kiraly A, Kuhnigk J, Kabus S, van Rikxoort E, Beichel R (eds.). 85-96.

Biophysical Modeling of Respiratory Organ Motion
Werner R
2013. 4D Modeling and Estimation of Respiratory Motion for Radiation Therapy. Ehrhardt J, Lorenz C (eds.). 1. ed. Springer, 61-84.

Strahlentherapie atmungsbewegter Tumoren: Bewegungsfeldschätzung und Dosisakkumulation anhand von 4D-Bilddaten
Werner R
2013. Aktuelle Forschung Medizintechnik. Buzug T (eds.). 1. ed. Wiesbaden: Springer Vieweg, 1-227.

Assessing accuracy of nonlinear registration in 4D image data using automatically detected landmark correspondences
Werner R, Duscha C, Schmidt-Richberg A, Ehrhardt J, Handels H
2013. SPIE Medical Imaging. Ourselin S, Haynor D (eds.). SPIE , 86690Z-1-9.

2012

Towards Accurate Dose Accumulation for Step-&-Shoot IMRT: Impact of Weighting Schemes and Temporal Image Resolution on the Estimation of Dosimetric Motion Effects.
Werner R, Ehrhardt J, Schmidt-Richberg A, Albers D, Frenzel T, Petersen C, Cremers F, Handels H
Z MED PHYS. 2012;22(2):109-122.

2010

A statistical shape and motion model for the prediction of respiratory lung motion
Ehrhardt J, Werner R, Schmidt-Richberg A, Handels H
2010. Medical Imaging 2010: Image Processing. SPIE: 531-539.

Direction-dependent regularization for improved estimation of liver and lung motion in 4D image data
Schmidt-Richberg A, Ehrhardt J, Werner R, Handels H
2010. Medical Imaging 2010: Image Processing. SPIE: 1-8.

Estimation of motion fields by non-linear registration for local lung motion analysis in 4D CT image data
Werner R, Ehrhardt J, Schmidt-Richberg A, Heiss A, Handels H
INT J COMPUT ASS RAD. 2010;5(6):595-605.

Technical Note: Development of a tidal volume surrogate that replaces spirometry for physiological breathing monitoring in 4D CT
Werner R, White B, Handels H, Lu W, Low D
MED PHYS. 2010;36(2):615-620.

Automatische Landmarkendetektion und -übertragung zur Evaluation der Registrierung von thorakalen CT-Daten
Werner R, Wolf J, Ehrhardt J, Schmidt-Richberg A, Handels H
2010. Bildverarbeitung für die Medizin 2010: Algorithmen - Systeme - Anwendungen (Informatik Aktuell). Springer Berlin Heidelberg: 31-35.

2009

4D Motion Modeling: Estimation of Respiratory Motion for Radiation Therapy
Ehrhardt J, Schmidt-Richberg A, Werner R, Handels H
2009. World Congress on Medical Physics and Biomedical Engineering September 7 - 12, 2009 Munich, Germany (Ifmbe Proceedings). Springer-Verlag GmbH: 2166-2169.

Prediction of Respiratory Motion Using A Statistical 4D Mean Motion Model
Ehrhardt J, Werner R, Schmidt-Richberg A, Handels H
2009. The Second International Workshop on Pulmonary Image Analysis. CreateSpace: 3-14.

Analysis of Dose Shifts induced by Organ Movements during Treatment with TomoTherapy using a Motion Phantom and GafChromic EBT Films
Grohmann C, Werner R, Dirk A, Cremers F
2009. World Congress on Medical Physics and Biomedical Engineering September 7 - 12, 2009 Munich, Germany (Ifmbe Proceedings). Springer-Verlag GmbH: 1020-1023.

Evaluation and Comparison of Force Terms for the Estimation of Lung Motion by Non-linear Registration of 4D-CT Image Data
Schmidt-Richberg A, Ehrhardt J, Werner R, Handels H
2009. World Congress on Medical Physics and Biomedical Engineering September 7 - 12, 2009 Munich, Germany (Ifmbe Proceedings). Springer-Verlag GmbH: 2028-2131.

Integrierte Segmentierung und Trajektorienberechnung mittels diffeomorpher Registrierung in räumlich-zeitlichen CT-Bildfolgen
Schmidt-Richberg A, Ehrhardt J, Werner R, Handels H
2009. Bildverarbeitung für die Medizin 2009. Springer Berlin Heidelberg: 182-186.

Slipping Objects in Image Registration: Improved Motion Field Estimation with Direction-dependent Regularization
Schmidt-Richberg A, Ehrhardt J, Werner R, Handels H
2009. Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2009. Springer Berlin Heidelberg: 755-762.

Patient-specific finite element modeling of respiratory lung motion using 4D CT image data.
Werner R, Ehrhardt J, Schmidt R, Handels H
MED PHYS. 2009;36(5):1500-1511.

Dose Accumulation based on Optimized Motion Field Estimation using Non-Linear Registration in Thoracic 4D CT Image Data
Werner R, Ehrhardt J, Schmidt-Richberg A, Bodmann B, Cremers F, Handels H
2009. World Congress on Medical Physics and Biomedical Engineering September 7 - 12, 2009 Munich, Germany (Ifmbe Proceedings). Springer-Verlag GmbH: 950-953.

Estimation of Inner Lung Motion Fields by Non-linear Registration
Werner R, Ehrhardt J, Schmidt-Richberg A, Cremers F, Handels H
2009. Bildverarbeitung für die Medizin 2009. Springer Berlin Heidelberg: 102-106.

Validation and comparison of a biophysical modeling approach and non-linear registration for estimation of lung motion fields in thoracic 4D CT data (Proceedings Paper)
Werner R, Ehrhardt J, Schmidt-Richberg A, Handels H
2009. Medical Imaging 2009: Image Processing (Proceedings Volume). SPIE: 1-8.

Virtual Spirometry: Utilizing an Abdominal Bellows System for Quantitatively Gating in 4D CT Acquisition
Werner R, White B, Schwenke M, Handels H, Lu W, Low D
2009. World Congress on Medical Physics and Biomedical Engineering September 7 - 12, 2009 Munich, Germany (Ifmbe Proceedings). Springer-Verlag GmbH: 855-858.

2007

An optical flow based method for improved reconstruction of 4D CT data sets acquired during free breathing.
Ehrhardt J, Werner R, Säring D, Frenzel T, Lu W, Low D, Handels H
MED PHYS. 2007;34(2):711-721.

4D medical image computing and visualization of lung tumor mobility in spatio-temporal CT image data.
Handels H, Werner R, Schmidt R, Frenzel T, Lu W, Low D, Ehrhardt J
INT J MED INFORM. 2007;76(3):433-439.

Motion artifact reducing reconstruction of 4D CT image data for the analysis of respiratory dynamics.
Werner R, Ehrhardt J, Frenzel T, Säring D, Lu W, Low D, Handels H
METHOD INFORM MED. 2007;46(3):254-260.

Letzte Aktualisierung aus dem FIS: 21.12.2024 - 04:09 Uhr