2019-2013 | {$INSTITUTE}

2019

R. Buchert and J. Krüger and N. Gessert and W. Lehnert and I. Apostolova and S. Klutmann and A. Schlaefer (2019). Deep Learning in SPECT and PET of the brain. [Abstract] [doi] [BibTex]
M. Schlüter and S. Gerlach and C. Fürweger and A. Schlaefer (2019). Analysis and Optimization of the Robot Setup for Robotic-Ultrasound-Guided Radiation Therapy. Presented at International Congress and Exhibition on Computer Assisted Radiology and Surgery [BibTex]
S. Latus and F. Griese and M. Schlüter and C. Otte and M. Möddel and M. Graeser and T. Saathoff and T. Knopp and A. Schlaefer (2019). Bimodal intravascular volumetric imaging combining OCT and MPI. Medical Physics. 46. (3), 1371-1383 [Abstract] [doi] [www] [BibTex]
N. Gessert and T. Sentker and F. Madesta and R. Schmitz and H. Kniep and I. Baltruschat and R. Werner and A. Schlaefer (2019). Skin Lesion Classification Using CNNs with Patch-Based Attention and Diagnosis-Guided Loss Weighting. IEEE Transactions on Biomedical Engineering. Accepted [Abstract] [doi] [www] [BibTex]
N. Gessert and S. Latus and Y. S. Abdelwahed and D. M. Leistner and M. Lutz and A. Schlaefer (2019). Bioresorbable Scaffold Visualization in IVOCT Images Using CNNs and Weakly Supervised Localization. CoRR. abs/1810.09578. [www] [BibTex]
N. Gessert and M. Schlüter and S. Latus and V. Volgger and C. Betz and A. Schlaefer (2019). Towards Automatic Lesion Classification in the Upper Aerodigestive Tract Using OCT and Deep Transfer Learning Methods. International Congress and Exhibition on Computer Assisted Radiology and Surgery accepted [www] [BibTex]
N. Gessert and M. Nielsen and M. Shaikh and R. Werner and A. Schlaefer (2019). Skin Lesion Classification Using Loss Balancing, Ensembles of Multi-Resolution EfficientNets and Meta Data. ISIC Skin Lesion Classification Challenge @ MICCAI 2019 Shenzhen, China [www] [BibTex]
N. Gessert and M. Gromniak and M. Schlüter and A. Schlaefer (2019). Two-path 3D CNNs for calibration of system parameters for OCT-based motion compensation. CoRR. abs/1810.09582. [www] [BibTex]
N. Gessert and A. Schlaefer (2019). Efficient Neural Architecture Search on Low-Dimensional Data for OCT Image Segmentation. International Conference on Medical Imaging with Deep Learning [Abstract] [www] [BibTex]
M.H. Laves and S. Latus and J. Bergmeier and T. Ortmaier and L. A. Kahrs and A. Schlaefer (2019). Endoscopic vs. volumetric OCT imaging of mastoid bone structure for pose estimation in minimally invasive cochlear implant surgery. International Journal of Computer Assisted Radiology and Surgery. 14. (1), 136-137 [doi] [www] [BibTex]
N. Gessert and L. Wittig and D. Drömann and T. Keck and A. Schlaefer and D. B. Ellebrecht (2019). Feasibility of Colon Cancer Detection in Confocal Laser Microscopy Images Using Convolution Neural Networks. CoRR. abs/1812.01464. [www] [BibTex]
M. Schlüter and S. Gerlach and C. Fürweger and A. Schlaefer (2019). Analysis and Optimization of the Robot Setup for Robotic-Ultrasound-Guided Radiation Therapy. International Journal of Computer Assisted Radiology and Surgery. 14. (8), 1379-1387 [Abstract] [doi] [BibTex]
M. Schlüter and C. Fürweger and A. Schlaefer (2019). Optimizing Robot Motion for Robotic Ultrasound-Guided Radiation Therapy. Physics in Medicine & Biology. 64. (19), 195012 [Abstract] [doi] [BibTex]
J. Krueger and R. Opfer and N. Gessert and A. C. Ostwaldt and C. Walker-Egger and P. Manogaran and C. Wang and M. Barnett and A. Schlaefer and S. Schippling (2019). Fully automated lesion segmentation using heavily trained 3D convolutional neural networks are equivalent to manual expert segmentations. Multiple Sclerosis Journal. 25 . (2_suppl), 844-845 [doi] [www] [BibTex]
M. Schlüter and M. M. Fuh and S. Maier and C. Otte and P. Kiani and N.-O. Hansen and R. J. Dwayne Miller and H. Schlüter and A. Schlaefer (2019). Towards OCT-Navigated Tissue Ablation with a Picosecond Infrared Laser (PIRL) and Mass-Spectrometric Analysis. Annual International Conference of the IEEE Engineering in Medicine and Biology Society 158-161 [Abstract] [doi] [BibTex]
M. Bengs and N. Gessert and A. Schlaefer (2019). 4D Spatio-Temporal Deep Learning with 4D fMRI Data for Autism Spectrum Disorder Classification. Proceedings of International Conference on Medical Imaging with Deep Learning Accepted [Abstract] [www] [BibTex]
M. Schlüter and C. Otte and T. Saathoff and N. Gessert and A. Schlaefer (2019). Feasibility of a markerless tracking system based on optical coherence tomography. SPIE Medical Imaging accepted [www] [BibTex]
M. Schlüter and C. Fürweger and A. Schlaefer (2019). Optimizing Configurations for 7-DoF Robotic Ultrasound Guidance in Radiotherapy of the Prostate. Annual International Conference of the IEEE Engineering in Medicine and Biology Society 6983-6986 [Abstract] [doi] [BibTex]
S. Latus and M. Neidhardt and M. Lutz and N. Gessert and N. Frey and A. Schlaefer (2019). Quantitative Analysis of 3D Artery Volume Reconstructions Using Biplane Angiography and Intravascular OCT Imaging. 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) 6004-6007 [Abstract] [doi] [BibTex]
N. Gessert and M. Gromniak and M. Bengs and L. Matthäus and A. Schlaefer (2019). Towards Deep Learning-Based EEG Electrode Detection Using Automatically Generated Labels. CURAC 2019 Tagungsband Reutlingen 176-180 [Abstract] [www] [BibTex]
N. Gessert and M. Lutz and M. Heyder and S. Latus and D. M. Leistner and Y. S. Abdelwahed and A. Schlaefer (2019). Automatic Plaque Detection in IVOCT Pullbacks Using Convolutional Neural Networks. IEEE Transactions on Medical Imaging. 38. (2), 426-434 [Abstract] [doi] [BibTex]
L. Bargsten and M. Wendebourg and A. Schlaefer (2019). Data Representations for Segmentation of Vascular Structures Using Convolutional Neural Networks with U-Net Architecture. In Proc. 2019 41st IEEE Engineering in Medicine and Biology Society (EMBC'19) Berlin, Germany 989-992 [Abstract] [doi] [www] [BibTex]
N. Gessert and M. Bengs and L. Wittig and D. Drömann and T. Keck and A. Schlaefer and D. B. Ellebrecht (2019). Deep transfer learning methods for colon cancer classification in confocal laser microscopy images. International Journal of Computer Assisted Radiology and Surgery. [Abstract] [doi] [www] [BibTex]
N. Gessert and T. Priegnitz and T. Saathoff and S.-T. Antoni and D. Meyer and M. F. Hamann and K.-P. Jünemann and C. Otte and A. Schlaefer (2019). Spatio-temporal deep learning models for tip force estimation during needle insertion. International Journal of Computer Assisted Radiology and Surgery. [Abstract] [doi] [www] [BibTex]
R. Chadda and S. Wismath and M. Hessinger and N. Schäfer and A. Schlaefer and M. Kupnik (2019). Needle Tip Force Sensor for Medical Applications. 2019 IEEE SENSORS 1-4 [Abstract] [doi] [BibTex]
F. Sommer and L. Bargsten and A. Schlaefer (2019). IVUS-Simulation for Improving Segmentation Performance of Neural Networks via Data Augmentation. CURAC 2019 Tagungsband Reutlingen 47-51 [Abstract] [www] [BibTex]
M. Gromniak and C. Brendes and A. Schlaefer (2019). A New Setup for Markerless Motion Compensation in TMS by Relative Head Tracking with a Small-Scale TOF Camera. CURAC 2019 Tagungsband Reutlingen 205-210 [Abstract] [www] [BibTex]
S. Gerlach and M. Schlüter and C. Fürweger and A. Schlaefer (2019). Machbarkeit CNN-basierter Erzeugung von Kandidatenstrahlen für Radiochirurgie der Prostata. CURAC 2019 Tagungsband Reutlingen 128-129 [Abstract] [www] [BibTex]
S. Gerlach and M. Schlüter and C. Fürweger and A. Schlaefer (2019). Machbarkeit CNN-basierter Erzeugung von Kandidatenstrahlen für Radiochirurgie der Prostata. CURAC 2019 Tagungsband Reutlingen 128-129 [Abstract] [www] [BibTex]
J. Krueger and R. Opfer and N. Gessert and S. Schippling and A. C. Ostwaldt and C. Walker-Egger and C. Manogaran and A. Schlaefer (2019). Fully Automated Longitudinal Segmentation of new or Enlarging Multiple Sclerosis (MS) Lesions Using 3D Convolutional Neural Networks. Clinical Neuroradiology. 29. (Suppl 1), 10 [www] [BibTex]
S.-T. Antoni and S. Lehmann and S. Schupp and A. Schlaefer (2019). An Online Model Checking Approach to Soft-Tissue Detection for Rupture. CURAC 2019 Tagungsband Reutlingen 83-88 [Abstract] [www] [BibTex]

2018

F. Griese and S. Latus and M. Gräser and M. Möddel and M. Schlüter and C. Otte and T. Saathoff and T. Knopp and A. Schlaefer (2018). Stenosis analysis by synergizing MPI and intravascular OCT. International Workshop on Magnetic Particle Imaging 217-218 [BibTex]
J. Padberg and A. Schlaefer and S. Schupp (2018). Ein Ansatz zur nachvollziehbaren Verifikation medizinisch-cyber-physikalischer Systeme. In M. Tichy and E. Bodden and M. Kuhrmann and S. Wagner and J.-P. Steghöfer (Eds.) Software Engineering und Software Management 2018 Gesellschaft für Informatik: Bonn 209-210 [Abstract] [BibTex]
M. Wendebourg and O. Rajput and A. Schlaefer (2018). Detection of Simulated Clonic Seizures from Depth Camera Recordings. 6. (2), 88-94 [Abstract] [doi] [www] [BibTex]
N. Gessert and M. Heyder and S. Latus and M. Lutz and A. Schlaefer (2018). Plaque Classification in Coronary Arteries from IVOCT Images Using Convolutional Neural Networks and Transfer Learning. (Suppl1) International Journal of CARS'2018. 13. (1), 99-100 [doi] [www] [BibTex]
N. Gessert and M. Schlüter and A. Schlaefer (2018). A Deep Learning Approach for Pose Estimation from Volumetric OCT Data. Medical Image Analysis. 46. 162-179 [Abstract] [doi] [www] [BibTex]
N. Gessert and T. Priegnitz and T. Saathoff and S.-T. Antoni and D. Meyer and M. F. Hamann and K.-P. Jünemann and C. Otte, A. Schlaefer (2018). Needle Tip Force Estimation using an OCT Fiber and a Fused convGRU-CNN Architecture - MICCAI 2018. International Conference on Medical Image Computing and Computer-Assisted Intervention 222-229, Spotlight Talk [Abstract] [www] [BibTex]
O. Rajput* and N. Gessert* and M. Gromniak and L. Matthäus and A. Schlaefer (2018). Towards Head Motion Compensation Using Multi-Scale Convolutional Neural Networks. 17. Jahrestagung der Deutschen Gesellschaft für Computer- und Roboter Assistierte Chirurgie 138-141 *Shared First Authors [Abstract] [www] [BibTex]
S. Latus and F. Griese and M. Gräser and M. Möddel and M. Schlüter and C. Otte and N. Gessert and T. Saathoff and T. Knopp and A. Schlaefer (2018). Towards bimodal intravascular OCT MPI volumetric imaging. Proceedings of SPIE Medical Imaging: Physics of Medical Imaging 10573E [Abstract] [doi] [www] [BibTex]
N. Gessert and J. Beringhoff and C. Otte and A. Schlaefer (2018). Force Estimation from OCT Volumes using 3D CNNs. Int J Comput Assist Radiol Surg. 13. (7), 1073–1082 [Abstract] [doi] [www] [BibTex]
T. Yu, F.-A. Siebert, A. Schlaefer (2018). A stochastic optimization approach accounting for uncertainty in HDR brachytherapy needle Placement. International Journal of Computer Assisted Radiology and Surgery CARS 2018. 13. (Suppl 1), 34-35 [Abstract] [doi] [www] [BibTex]
N. Gessert and M. Heyder and S. Latus and D. M. Leistner and Y. S. Abdelwahed and M. Lutz and A. Schlaefer (2018). Adversarial Training for Patient-Independent Feature Learning with IVOCT Data for Plaque Classification. International Conference on Medical Imaging with Deep Learning [Abstract] [www] [BibTex]
N. Gessert and T. Sentker and F. Madesta and R. Schmitz and H. Kniep and I. Baltruschat and R. Werner and A. Schlaefer (2018). Skin Lesion Diagnosis using Ensembles, Unscaled Multi-Crop Evaluation and Loss Weighting. ArXiv e-prints. Oral. Best challenge submission with public data only. Overall 2nd placed team [Abstract] [www] [BibTex]
S.-T. Antoni and S. Lehmann and M. Neidhardt and K. Fehrs and C. Ruprecht and F. Kording and G. Adam and S. Schupp and A. Schlaefer (2018). Model checking for trigger loss detection during Doppler ultrasound-guided fetal cardiovascular MRI. International Journal of Computer Assisted Radiology and Surgery. 13. (11), 1755-1766 [Abstract] [doi] [www] [BibTex]
S. Lehmann and S.-T. Antoni and A. Schlaefer and S. Schupp (2018). A Quantitative Metric Temporal Logic for Execution-Time Constrained Verification. Model-Based Design of Cyber Physical Systems (CyPhy'18) Torino, Italy [BibTex]

2017

F. Griese and T. Knopp and R. Werner and A. Schlaefer and M. Möddel (2017). Submillimeter-Accurate Marker Localization within Low Gradient Magnetic Particle Imaging Tomograms. International Journal on Magnetic Particle Imaging. 3. (3), 1703011 [Abstract] [doi] [www] [BibTex]
J. Dahmen and C. Otte and M. Fuh and S. Maier and M. Schlüter and S.-T. Antoni and N.-O. Hansen and R.J.D. Miller and H. Schlüter and A. Schlaefer (2017). Massenspektrometrische Gewebeanalyse mittels OCT-navigierter PIR-Laserablation. 16. Jahrestagung der Deutschen Gesellschaft für Computer- und Roboter Assistierte Chirurgie 112-116 [BibTex]
K. V. Laino and T. Saathoff and T. R. Savarimuthu and K. Lindberg Schwaner and N. Gessert and A. Schlaefer (2017). Design and implementation of a wireless instrument adapter. 16. Jahrestagung der Deutschen Gesellschaft für Computer- und Roboter Assistierte Chirurgie 31-36 [BibTex]
N. Gdaniec and M. Schlüter and M. Möddel and M. Kaul and K. Krishnan and A. Schlaefer and T. Knopp (2017). Detection and Compensation of Periodic Motion in Magnetic Particle Imaging. IEEE Transactions on Medical Imaging. 36. (7), 1511-1521 [Abstract] [doi] [BibTex]
O. Ismail and O. Rajput and L. Matthäus and A. Schlaefer (2017). Comparison of correspondence-free and correspondence-based hand-eye calibration. 16. Jahrestagung der Deutschen Gesellschaft für Computer- und Roboter Assistierte Chirurgie 6-10 [BibTex]
O. Rajput and M. Schlüter and N. Gessert and T. R. Savarimuthu and C. Otte and S.-T. Antoni and A. Schlaefer (2017). Robotic OCT Volume Acquisition Using a Single Fiber. 16. Jahrestagung der Deutschen Gesellschaft für Computer- und Roboter Assistierte Chirurgie 232-233 [BibTex]
S. Gerlach and I. Kuhlemann and F. Ernst and C. Fürweger and A. Schlaefer (2017). Impact of robotic ultrasound image guidance on plan quality in SBRT of the prostate. The British Journal of Radiology. 90. (1078), 20160926 [Abstract] [doi] [www] [BibTex]
S. Latus and C. Otte and M. Schlüter and J. Rehra and K. Bizon and H. Schulz-Hildebrandt and T. Saathoff and G. Hüttmann and A. Schlaefer (2017). An Approach for Needle Based Optical Coherence Elastography Measurements. Medical Image Computing and Computer-Assisted Intervention - MICCAI 2017. 655-663 [Abstract] [doi] [www] [BibTex]
S. Latus and M. Lutz and T. Saathoff and N. Frey and A. Schlaefer (2017). The quantitative effect of catheter bending on artery volume estimation for IVOCT. Optics in Cardiology Symposium 2017 Rotterdam, Netherlands [www] [BibTex]
T. Hansen and O. Rajput and L. Mattäus and A. Schlaefer (2017). Evaluation of real-time trajectory planning for head motion compensation. 16. Jahrestagung der Deutschen Gesellschaft für Computer- und Roboter Assistierte Chirurgie 50-53 [BibTex]
S. Gerlach and I. Kuhlemann and P. Jauer and R. Bruder and F. Ernst and C. Fürweger and A. Schlaefer (2017). Robotic ultrasound-guided SBRT of the prostate: feasibility with respect to plan quality. Int J Comput Assist Radiol Surg. online first 1-11. 12. (1), 149-159 [Abstract] [www] [BibTex] [pmid]
S. Antoni and C. Otte and T. R. Savarimuthu and O. Rajput and A. Schlaefer (2017). Optical coherence tomography based 1D to 6D eye-in-hand calibration. 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 5886-5891 [Abstract] [doi] [BibTex]
C. Hatzfeld and S. Wismath and M. Hessinger and R. Werthschützky and A. Schlaefer and M. Kupnik (2017). A miniaturized sensor for needle tip force measurements. Biomedical Engineering / Biomedizinische Technik. 62. (s1), s109–s115 [doi] [BibTex]
S. Lehmann and S.-T. Antoni and A. Schlaefer and S. Schupp (2017). Detection of Head Motion Artifacts based on a Statistical Online Model-Checking Approach. Quantitative Evaluation of Systems - 14th International Conference Berlin, Germany accepted [Abstract] [BibTex]
R. Berndt and R. Rusch and L. Hummitzsch and M. Lutz and K. Heß and K. Huenges and B. Panholzer and C. Otte and A. Haneya and G. Lutter and A. Schlaefer and J. Cremer and J. Groß (2017). Development of a new catheter prototype for laser thrombolysis under guidance of optical coherence tomography (OCT): validation of feasibility and efficacy in a preclinical model. Journal of Thrombosis and Thrombolysis. 43. (3), 352-360 [doi] [BibTex] [pmid]

2016

S. Gerlach and I. Kuhlemann and F. Ernst and C. Fürweger and A. Schlaefer (2016). SU-G-JeP3-03: Effect of Robot Pose On Beam Blocking for Ultrasound Guided SBRT of the Prostate. Medical Physics. 43. (6), 3670-3671 [Abstract] [doi] [www] [BibTex]
J. Beringhoff and C. Otte and M. Schlüter and T. Saathoff and A. Schlaefer (2016). Kontaktlose Schätzung der Interaktionskräfte chirurgischer Instrumente.. 16. Jahrestagung der Deutschen Gesellschaft für Computer- und Roboter Assistierte Chirurgie CURAC 191-196 [BibTex]
S. Gerlach and I. Kuhlemann and P. Jauer and R. Bruder and F. Ernst and C. Fürweger and A. Schlaefer (2016). Feasibility of robotic ultrasound guided SBRT of the prostate. CARS 2016, 30th International Congress and Exhibition Heidelberg [BibTex]
S.-T. Antoni and T. Saathoff and A. Schlaefer (2016). On the effect of training for gesture control of a robotic microscope. CURAC 2016 - Tagungsband Bern, Switzerland 298-299 [BibTex]
S.-T. Antoni and X. Ma and S. Schupp and A. Schlaefer (2016). Reducing false discovery rates for on-line model-checking based detection of respiratory motion artifacts. Gemeinsamer Tagungsband der Workshops der Tagung Software Engineering 2016 (SE 2016), Wien, Feb. 2016 182-186 [Abstract] [BibTex]
S.-T.Antoni and J. Rinast and X. Ma and S. Schupp and A. Schlaefer (2016). Online model checking for monitoring surrogate-based respiratory motion tracking in radiation therapy. International Journal of Computer Assisted Radiology and Surgery. 11. 2085-2096 [Abstract] [doi] [BibTex]
S. Latus and M. Lutz and C. Otte and S.-T. Antoni and N. Frey and A. Schlaefer (2016). Estimation of Arterial Vasomotion Using Intravascular Optical Coherence Tomography. 15. Jahrestagung der Deutschen Gesellschaft für Computer- und Roboter Assistierte Chirurgie. [BibTex]
S. Prevrhal and C. Spink and M. Grass and M. Bless and A. Schlaefer and H. Ittrich and M. Regier and G. Adam (2016). ECR 2016 Book of Abstracts - B - Scientific Sessions and Clinical Trials in Radiology. Insights into Imaging. 7. (1), 162-465 [doi] [www] [BibTex]
M. Hofmann and K. Bizon and A. Schlaefer T. Knopp (2016). Subpixelgenaue Positionsbestimmung in Magnetic-Particle-Imaging. Bildverarbeitung für die Medizin 2016, Algorithmen – Systeme – Anwendungen. 20-25 [Abstract] [doi] [www] [BibTex]
A. Patel and C. Otte and A. Schlaefer and D. Nir and S. Otte and T. Ngo and T. Loke and M. Winkler (2016). MP34-14 Investigating the feasibility of optical coherence tomography to identify prostate cancer - an ex-vivo study. The Journal of Urology. 195. (4), e476 - e477 [doi] [www] [BibTex]
S. Latus and M. Lutz and C. Otte and T. Saathoff and K. Schulz and N. Frey and A. Schlaefer (2016). A setup for systematic evaluation and optimization of OCT imaging in the coronary arteries. Proceedings, supplement of the International Journal of CARS'2016 175-176 [doi] [www] [BibTex]
A. Diercks and A. Schlaefer (2016). Features for predicting gait events using inertial measurement units. Gait & Posture. 49. 256 [doi] [www] [BibTex]
C. Otte and J. Beringhoff and S. Latus and S.-T. Antoni and O. Rajput and A. Schlaefer (2016). Towards Force Sensing Based on Instrument-Tissue Interaction. 2016 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI) Baden-Baden 180-185 [www] [BibTex]
J. Ackermann and C. Otte and G. Hüttmann and A. Schlaefer (2016). Methods for Needle Motion Estimation from OCT Data. 15. Jahrestagung der Deutschen Gesellschaft für Computer- und Roboter Assistierte Chirurgie 208-213 [BibTex]
M. Schlüter and N. Gdaniec and A. Schlaefer and T. Knopp (2016). Compensation of Periodic Motion for Averaging of Magnetic Particle Imaging Data. IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop Straßburg 1-2 [Abstract] [BibTex]
O. Rajput and S.-T. Antoni and C. Otte and T. Saathoff and L. Matthäus and A. Schlaefer (2016). High Accuracy 3D Data Acquisition Using Co-Registered OCT and Kinect. 2016 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems [www] [BibTex]

2015

A. Tack and Y. Kobayashi and T. Gauer and A. Schlaefer and R. Werner (2015). Groupwise Registration for Robust Motion Field Estimation in Artifact-Affected 4D CT Images. Workshop on Imaging and Computer Assistance in Radiation Therapy, MICCAI 2015. [Abstract] [BibTex]
C. Otte and A. Patel and A. Schlaefer and S. Otte and T. Loke and T. Ngo and D. Nir and M. Winkler (2015). Confronting the challenge of "virtual" prostate biopsy. [Abstract] [www] [BibTex]
K. Schulz and C. Otte and G. Hüttmann and A. Schlaefer (2015). A Concept for Fail Safe Robotic Needle Insertion in Soft Tissue. Dresden, Germany 7-10 [Abstract] [www] [BibTex]
S.-T. Antoni and J. Rinast and S. Schupp and A. Schlaefer (2015). Comparing Model-free Motion Prediction and On-line Model Checking for Respiratory Motion Management. Gemeinsamer Tagungsband der Workshops der Tagung Software Engineering Dresden, Germany 15-18 [Abstract] [www] [BibTex]
S.-T. Antoni and J. Rinast and S. Schupp and A. Schlaefer (2015). Evaluation des Einflusses von Artefakten auf den Korrelationsfehler in der bewegungskompensierten Radiochirurgie. Tagungsband der 14. Jahrestagung der Deutschen Gesellschaft für Computer- und Roboterassistierte Chirurgie Bremen, Germany 133-138 [Abstract] [BibTex]
S.-T. Antoni and A. Dabrowski and D. Schetelig and B.-P. Diercks and R. Fliegert and R. Werner and I. Wolf and A. H. Guse and A. Schlaefer (2015). Segmentation of T-cells in fluorescence microscopy. In Proc. IEEE Engineering in Medicine and Biology Society (EMBC'15) Milan, Italy [Abstract] [www] [BibTex]
S.-T. Antoni and R. Plagge and R. Dürichen and A. Schlaefer (2015). Detecting Respiratory Artifacts from Video Data. In Handels, Heinz and Deserno, Thomas Martin and Meinzer, Hans-Peter and Tolxdorff, Thomas (Eds.) Bildverarbeitung für die Medizin 2015 Algorithmen - Systeme - Anwendungen. Proceedings des Workshops vom 15. bis 17. März 2015 in Lübeck Springer Berlin Heidelberg: 227-232 [Abstract] [doi] [www] [BibTex]
S.-T. Antoni and C. Otte and O. Rajput and K. Schulz and A. Schlaefer (2015). Hybrid Needle Localization using Co-registered Ultrasound and OCT Imaging. In Jessica Burgner-Kahrs and Alexander Schlaefer (Eds.) Workshop Proceedings: Navigation and Actuation of Flexible Instruments in Medical Application (NAFIMA, IROS workshop) Hamburg, Germany 24-25 [Abstract] [BibTex]
S.-T. Antoni and C. Otte and O. Rajput and K. Schulz and A. Schlaefer (2015). Combined Ultrasound and OCT Imaging for Robotic Needle Placement. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS'15) Hamburg, Germany 4737 [Abstract] [BibTex]
D. Düwel and C. Otte and K. Schultz and T. Saathoff and A. Schlaefer (2015). Towards contactless optical coherence elastography with acoustic tissue excitation. Current Directions in Biomedical Engineering. 1. (1), 215-219 [Abstract] [doi] [BibTex]
J. Hagenah and M. Scharfschwerdt and A. Schlaefer and C. Metzner (2015). A machine learning approach for planning valve-sparing aortic root reconstruction. Current Directions in Biomedical Engineering. 1. (1), 361-365 [Abstract] [doi] [www] [BibTex]
M. Neidhardt and O. Rajput and D. Drömann and A. Schlaefer (2015). Mobile C-arm Deformation and its implication on Stereoscopic Localization. Tagungsband der 14. Jahrestagung der Deutschen Gesellschaft für Computer- und Roboterassistierte Chirurgie Bremen, Germany 183-187 [Abstract] [BibTex]
N. Stein and T. Saathoff and S.-T. Antoni and A. Schlaefer (2015). Creating 3D gelatin phantoms for experimental evaluation in biomedicine. Current Directions in Biomedical Engineering. 1. (1), 331-334 [Abstract] [doi] [www] [BibTex]
R. Werner and D. Schetelig and D. Säring and S.-T. Antoni and A. Dabrowski and B.-P. Diercks and R. Fliegert and A. Guse and A. Schlaefer and I. Wolf (2015). Analysis of initial subcellular Ca2+ signals in fluorescence microscopy data from the perspective of image and signal processing. 49th annual conference of the German Society for Biomedical Engineering (BMT'15) Lübeck, Germany [Abstract] [BibTex]
S.-T. Antoni and C. Sonnenburg and T. Saathoff and A. Schlaefer (2015). Feasibility of interactive gesture control of a robotic microscope. Current Directions in Biomedical Engineering. 1. (1), 164-167 [Abstract] [doi] [www] [BibTex]
B. Hollmach and K. Schulz and S. Soltau and T. Saathoff and A. Schlaefer (2015). Feasibility of Robotic Ultrasound Palpation. 14. Jahrestagung der Deutschen Gesellschaft für Computer- und Roboterassistierte Chirurgie, September 17-19, 2015 Bremen, Germany 125-129 [Abstract] [BibTex]

2014

B. Wang and A. Schlaefer and Z. Zhang (2014). An optical approach to validate ultrasound surface segmentation of the heart. SPIE Proceedings. 9230. [Abstract] [doi] [BibTex]
L. Wittig and C. Otte and S. Otte and G. Hüttmann and D. Drömann and A. Schlaefer (2014). Tissue analysis of solitary pulmonary nodules using OCT A-Scan imaging needle probe. The European respiratory journal. 44. (58), 4979 [www] [BibTex]
N. Lessmann and D. Drömann and A. Schlaefer, (2014). Feasibility of respiratory motion-compensated stereoscopic X-ray tracking for bronchoscopy. Int J Comput Assist Radiol Surg. 9. (2), 199-209 [doi] [BibTex] [pmid]
O. Shahin and A. Beširevic and M. Kleemann and A. Schlaefer (2014). Ultrasound-based tumor movement compensation during navigated laparoscopic liver interventions. Surg Endosc. 28. (5), 1734-1741 [doi] [BibTex]
R. Dürichen and T. Wissel and F. Ernst and A. Schlaefer and A. Schweikard (2014). Multivariate respiratory motion prediction. Phys Med Biol. 59. (20), 6043-6060 [doi] [BibTex]
T. Viulet and O. Blanck and A. Schlaefer (2014). SU-E-T-42: Analysis of Spatial Trade-Offs for a Spinal SRS Case. Medical physics. 41. 231 [doi] [BibTex]
T. Viulet and O. Blanck and A. Schlaefer (2014). SU-E-T-258: Parallel Optimization of Beam Configurations for CyberKnife Treatments. Medical physics. 41. 283 [Abstract] [doi] [BibTex]
C. Otte and S. Otte and L. Wittig and G. Hüttmann and C. Kugler and D. Drömann and A. Zell and A. Schlaefer (2014). Investigating Recurrent Neural Networks for OCT A-scan Based Tissue Analysis. Methods Inf Med. 53. (4), 245-249 [Abstract] [doi] [BibTex] [pmid]

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