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2019

  • N. Gessert, M. Bengs, A. Schlaefer (2019). Melanoma detection with electrical impedance spectroscopy and dermoscopy using joint deep learning models. SPIE Medical Imaging 2020: Computer-Aided Diagnosis. Accepted. [arxiv]

  • F. Sommer, L. Bargsten, A. Schlaefer (2019). IVUS-Simulation for Improving Segmentation Performance of Neural Networks via Data Augmentation. CURAC 2019 Tagungsband Reutlingen 47-51. [Abstract] [www] [BibTex]

  • R. Buchert, J. Krüger, N. Gessert, W. Lehnert, I. Apostolova, S. Klutmann, A. Schlaefer (2019). Deep Learning in SPECT and PET of the brain. [Abstract] [doi] [BibTex]

  • J. Krueger, R. Opfer, N. Gessert, S. Schippling, A. C. Ostwaldt, C. Walker-Egger, C. Manogaran, 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]

  • J. Krueger, R. Opfer, N. Gessert, A. C. Ostwaldt, C. Walker-Egger, P. Manogaran, C. Wang, M. Barnett, A. Schlaefer, 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.-H. Laves, S. Latus, J. Bergmeier, T. Ortmaier, L. A. Kahrs, 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]

  • S. Latus, M. Neidhardt, M. Lutz, N. Gessert, N. Frey, 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]

  • S.-T. Antoni 1*), S. Lehmann 2*), S. Schupp 2), A. Schlaefer 1) 1 Institute of Medical Technology, Hamburg University of Technology, Hamburg, Germany 2 Institute for Software Systems, Hamburg University of Technology, Hamburg, Germany * Authors contributed equally (2019). An Online Model Checking Approach to Soft-Tissue Detection for Rupture. CURAC 2019 Tagungsband Reutlingen 83-88. [Abstract] [www] [BibTex]

  • N. Gessert, M. Nielsen, M. Shaikh, R. Werner, A. Schlaefer (2019). Skin Lesion Classification Using Loss Balancing, Ensembles of Multi-Resolution EfficientNets and Meta Data. ISIC Skin Lesion Classification Challenge @ MICCAI 2019. [method][Challenge] First place in both challenge tasks.

  • S. Gerlach, M. Schlüter, C. Fürweger, A. Schlaefer (2019). Machbarkeit CNN-basierter Erzeugung von Kandidatenstrahlen für Radiochirurgie der Prostata. CURAC 2019 Tagungsband Reutlingen 128-129. [Abstract] [www] [BibTex]

  • N. Gessert, A. Schlaefer (2019). Left Ventricle Quantification Using Direct Regression with Segmentation Regularization and Ensembles of Pretrained 2D and 3D CNNs. arXiv e-prints. arXiv:1908.04181 STACOM Workshop@MICCAI 2019 Accepted. [Abstract] [www] [BibTex]

  • N. Gessert, M. Gromniak, M. Bengs, L. Matthäus, A. Schlaefer (2019). Towards Deep Learning-Based EEG Electrode Detection Using Automatically Generated Labels. CURAC 2019 Tagungsband Reutlingen 176-180. [Abstract] [www] [BibTex]

  • M. Schlüter, C. Fürweger, A. Schlaefer (2019). Optimizing Robot Motion for Robotic Ultrasound-Guided Radiation Therapy. Physics in Medicine & Biology. 64 (19), 195012. [Abstract] [doi] [BibTex]

  • L. Bargsten, M. Wendebourg, 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]

  • M. Schlüter, S. Gerlach, C. Fürweger, 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]

  • N. Gessert, T. Priegnitz, T. Saathoff, S.-T. Antoni, D. Meyer, M. F. Hamann, K.-P. Jünemann, C. Otte, 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]

  • M. Schlüter, C. Fürweger, 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]

  • M. Schlüter, M. M. Fuh, S. Maier, C. Otte, P. Kiani, N.-O. Hansen, R. J. Dwayne Miller, H. Schlüter, 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]

  • N. Gessert, M. Bengs, L. Wittig, D. Drömann, T. Keck, A. Schlaefer, 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. 14(11), 1837–1845. [Abstract] [doi] [www] [BibTex]

  • N. Gessert, T. Sentker, F. Madesta, R. Schmitz, H. Kniep, I. Baltruschat, R. Werner, 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, A. Schlaefer (2019). Efficient Neural Architecture Search on Low-Dimensional Data for OCT Image Segmentation. International Conference on Medical Imaging with Deep Learning. Accepted. [Abstract] [www] [BibTex]

  • M. Bengs, N. Gessert, 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]

  • S. Latus, F. Griese, M. Schlüter, C. Otte, M. Möddel, M. Graeser, T. Saathoff, T. Knopp, A. Schlaefer (2019). Bimodal intravascular volumetric imaging combining OCT and MPI. Medical Physics. 46 (3), 1371-1383. [Abstract] [doi] [www] [BibTex]

  • M. Schlüter, S. Gerlach, C. Fürweger, 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]

  • N. Gessert, M. Schlüter, S. Latus, V. Volgger, C. Betz, 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]

  • M. Schlüter, C. Otte, T. Saathoff, N. Gessert, A. Schlaefer (2019). Feasibility of a markerless tracking system based on optical coherence tomography. SPIE Medical Imaging 2019: Image-Guided Procedures, Robotic Interventions, and Modeling. 1095107. [www] [doi] [BibTex]

  • N. Gessert, S. Latus, Y. S. Abdelwahed, D. M. Leistner, M. Lutz, A. Schlaefer (2019). Bioresorbable Scaffold Visualization in IVOCT Images Using CNNs and Weakly Supervised Localization. SPIE Medical Imaging 2019: Image Processing. 109492C. [www] [doi][BibTex]

  • N. Gessert, M. Gromniak, M. Schlüter, A. Schlaefer (2019). Two-path 3D CNNs for calibration of system parameters for OCT-based motion compensation. SPIE Medical Imaging 2019: Image-Guided Procedures, Robotic Interventions, and Modeling. 1095108. [www][doi] [BibTex]

  • N. Gessert, L. Wittig, D. Drömann, T. Keck, A. Schlaefer, D. B. Ellebrecht (2019). Feasibility of Colon Cancer Detection in Confocal Laser Microscopy Images Using Convolution Neural Networks. Bildverarbeitung für die Medizin 2019. 327-332. [www][doi][BibTex]

  • N. Gessert, M. Lutz, M. Heyder, S. Latus, D. M. Leistner, Y. S. Abdelwahed, 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]

2018

  • S.-T. Antoni, S. Lehmann, M. Neidhardt, K. Fehrs, C. Ruprecht, F. Kording, G. Adam, S. Schupp, 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]

  • F. Griese, S. Latus, M. Gräser, M. Möddel, M. Schlüter, C. Otte, T. Saathoff, T. Knopp, A. Schlaefer (2018). Stenosis analysis by synergizing MPI and intravascular OCT. International Workshop on Magnetic Particle Imaging 217-218. [BibTex]

  • S. Lehmann, S.-T. Antoni, A. Schlaefer, 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]

  • J. Padberg, A. Schlaefer, S. Schupp (2018). Ein Ansatz zur nachvollziehbaren Verifikation medizinisch-cyber-physikalischer Systeme. In M. Tichy, E. Bodden, M. Kuhrmann, S. Wagner, J.-P. Steghöfer (Eds.) Software Engineering und Software Management 2018 Gesellschaft für Informatik: Bonn 209-210. [Abstract] [BibTex]

  • M. Wendebourg, O. Rajput, A. Schlaefer (2018). Detection of Simulated Clonic Seizures from Depth Camera Recordings. Journal of Image and Graphics. 6 (2), 88-94. [Abstract] [doi] [www] [BibTex]

  • N. Gessert, J. Beringhoff, C. Otte, 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]

  • N. Gessert, M. Heyder, S. Latus, D. M. Leistner, Y. S. Abdelwahed, M. Lutz, 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, M. Heyder, S. Latus, M. Lutz, 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, M. Schlüter, 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, T. Sentker, F. Madesta, R. Schmitz, H. Kniep, I. Baltruschat, R. Werner, A. Schlaefer (2018). Skin Lesion Diagnosis using Ensembles, Unscaled Multi-Crop Evaluation and Loss Weighting. ArXiv e-prints. [Abstract] [www] [BibTex] [Challenge] Oral. Best challenge submission with public data only. Overall 2nd placed team.

  • N. Gessert, T. Priegnitz, T. Saathoff, S.-T. Antoni, D. Meyer, M. F. Hamann, K.-P. Jünemann, 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*, N. Gessert*, M. Gromniak, L. Matthäus, 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, F. Griese, M. Gräser, M. Möddel, M. Schlüter, C. Otte, N. Gessert, T. Saathoff, T. Knopp, A. Schlaefer (2018). Towards bimodal intravascular OCT MPI volumetric imaging. Proceedings of SPIE Medical Imaging: Physics of Medical Imaging 10573E. [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]

2017

  • C. Hatzfeld, S. Wismath, M. Hessinger, R. Werthschützky, A. Schlaefer, M. Kupnik (2017). A miniaturized sensor for needle tip force measurements. Biomedical Engineering / Biomedizinische Technik. 62 (s1), s109–s115. [doi] [BibTex]

  • F. Griese, T. Knopp, R. Werner, A. Schlaefer, M. Möddel (2017). Submillimeter-Accurate Marker Localization within Low Gradient Magnetic Particle Imaging Tomograms. International Journal on Magnetic Particle Imaging. 3 (1), [BibTex]

  • J. Dahmen, C. Otte, M. Fuh, S. Maier, M. Schlüter, S.-T. Antoni, N.-O. Hansen, R.J.D. Miller, H. Schlüter, 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, T. Saathoff, T. R. Savarimuthu, K. Lindberg Schwaner, N. Gessert, 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, M. Schlüter, M. Möddel, M. Kaul, K. Krishnan, A. Schlaefer, 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, O. Rajput, L. Matthäus, 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, M. Schlüter, N. Gessert, T. R. Savarimuthu, C. Otte, S.-T. Antoni, 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]

  • R. Berndt, R. Rusch, L. Hummitzsch, M. Lutz, K. Heß, K. Huenges, B. Panholzer, C. Otte, A. Haneya, G. Lutter, A. Schlaefer, J. Cremer, 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]

  • S. Gerlach, I. Kuhlemann, F. Ernst, C. Fürweger, 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. Antoni, C. Otte, T. R. Savarimuthu, O. Rajput, 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]

  • S. Gerlach, I. Kuhlemann, P. Jauer, R. Bruder, F. Ernst, C. Fürweger, 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. Latus, C. Otte, M. Schlüter, J. Rehra, K. Bizon, H. Schulz-Hildebrandt, T. Saathoff, G. Hüttmann, 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, M. Lutz, T. Saathoff, N. Frey, A. Schlaefer (2017). The quantitative effect of catheter bending on artery volume estimation for IVOCT. Optics in Cardiology Symposium 2017 Rotterdam, Netherlands [www] [BibTex]

  • S. Lehmann, S.-T. Antoni, A. Schlaefer, S. Schupp (2017). Detection of Head Motion Artifacts based on a Statistical Online Model-Checking Approach. Quantitative Evaluation of Systems - 14th International Conference [Abstract] [BibTex]

  • T. Hansen, O. Rajput, L. Mattäus, 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]

2016

  • A. Diercks, A. Schlaefer (2016). Features for predicting gait events using inertial measurement units. Gait & Posture. 49 256. [doi] [www] [BibTex]

  • A. Patel, C. Otte, A. Schlaefer, D. Nir, S. Otte, T. Ngo, T. Loke, 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]

  • C. Otte, J. Beringhoff, S. Latus, S.-T. Antoni, O. Rajput, 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, C. Otte, G. Hüttmann, 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]

  • J. Beringhoff, C. Otte, M. Schlüter, T. Saathoff, A. Schlaefer (2016). Kontaktlose Schätzung der Interaktionskräfte chirurgischer Instrumente. 15. Jahrestagung der Deutschen Gesellschaft für Computer- und Roboter Assistierte Chirurgie 191-196. [BibTex]

  • M. Hofmann, K. Bizon, 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]

  • M. Schlüter, N. Gdaniec, A. Schlaefer, 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, S.-T. Antoni, C. Otte, T. Saathoff, L. Matthäus, 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]

  • S. Gerlach, I. Kuhlemann, F. Ernst, C. Fürweger, 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]

  • S. Gerlach, I. Kuhlemann, P. Jauer, R. Bruder, F. Ernst, C. Fürweger, A. Schlaefer (2016). Feasibility of robotic ultrasound guided SBRT of the prostate. CARS 2016, 30th International Congress and Exhibition Heidelberg [BibTex]

  • S. Latus, M. Lutz, C. Otte, S.-T. Antoni, N. Frey, 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. Latus, M. Lutz, C. Otte, T. Saathoff, K. Schulz, N. Frey, 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]

  • S. Prevrhal, C. Spink, M. Grass, M. Bless, A. Schlaefer, H. Ittrich, M. Regier, G. Adam (2016). ECR 2016 Book of Abstracts - B - Scientific Sessions and Clinical Trials in Radiology. Insights into Imaging. 7 (1), 162-465. B-1353 14:40 [doi] [www] [BibTex]

  • S.-T. Antoni, T. Saathoff, 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, X. Ma, S. Schupp, 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, J. Rinast, X. Ma, S. Schupp, 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]

2015

  • A. Tack, Y. Kobayashi, T. Gauer, A. Schlaefer, 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]

  • B. Hollmach, K. Schulz, S. Soltau, T. Saathoff, 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]

  • C. Otte, A. Patel, A. Schlaefer, S. Otte, T. Loke, T. Ngo, D. Nir, M. Winkler (2015). Confronting the challenge of "virtual" prostate biopsy. [Abstract] [www] [BibTex]

  • D. Düwel, C. Otte, K. Schultz, T. Saathoff, 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, M. Scharfschwerdt, A. Schlaefer, 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]

  • K. Schulz, C. Otte, G. Hüttmann, A. Schlaefer (2015). A Concept for Fail Safe Robotic Needle Insertion in Soft Tissue. Dresden, Germany 7-10. [Abstract] [www] [BibTex]

  • M. Neidhardt, O. Rajput, D. Drömann, 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, T. Saathoff, S.-T. Antoni, 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, D. Schetelig, D. Säring, S.-T. Antoni, A. Dabrowski, B.-P. Diercks, R. Fliegert, A. Guse, A. Schlaefer, 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, A. Dabrowski, D. Schetelig, B.-P. Diercks, R. Fliegert, R. Werner, I. Wolf, A. H. Guse, 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, C. Otte, O. Rajput, K. Schulz, 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, C. Otte, O. Rajput, K. Schulz, 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]

  • S.-T. Antoni, C. Sonnenburg, T. Saathoff, 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]

  • S.-T. Antoni, J. Rinast, S. Schupp, 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, J. Rinast, S. Schupp, 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, R. Plagge, R. Dürichen, 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]

2014

  • B. Wang, A. Schlaefer, Z. Zhang (2014). An optical approach to validate ultrasound surface segmentation of the heart. SPIE Proceedings. 9230 [Abstract] [doi] [BibTex]

  • C. Otte, S. Otte, L. Wittig, G. Hüttmann, C. Kugler, D. Drömann, A. Zell, 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]

  • L. Wittig, C. Otte, S. Otte, G. Hüttmann, D. Drömann, 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, D. Drömann, 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, A. Beširevic, M. Kleemann, A. Schlaefer (2014). Ultrasound-based tumor movement compensation during navigated laparoscopic liver interventions. Surg Endosc. 28 (5), 1734-1741. [doi] [BibTex]

  • R. Dürichen, T. Wissel, F. Ernst, A. Schlaefer, A. Schweikard (2014). Multivariate respiratory motion prediction. Phys Med Biol. 59 (20), 6043-6060. [doi] [BibTex]

  • T. Viulet, O. Blanck, 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, O. Blanck, A. Schlaefer (2014). SU-E-T-258: Parallel Optimization of Beam Configurations for CyberKnife Treatments. Medical physics. 41 283. [Abstract] [doi] [BibTex]

2013

  • A. Schlaefer, T. Viulet, A. Muacevic, C. Fürweger (2013). Multicriteria optimization of the spatial dose distribution. Med Phys. 40 (12), 121720. [Abstract] [doi] [BibTex] [pmid]

  • B. Stender, F. Ernst, B. Wang, Z.X. Zhang, A. Schlaefer (2013). Motion compensation of optical mapping signals from isolated beating rat hearts. SPIE Optical Engineering+ Applications 88561C-88561C. [Abstract] [BibTex]

  • B. Stender, O. Blanck, B. Wang, A. Schlaefer (2013). An active shape model for porcine whole heart segmentation from multi-slice computed tomography images. [BibTex]

  • B. Wang, B. Stender, T. Long, Z. Zhang, A. Schlaefer (2013). An approach to validate ultrasound surface segmentation of the heart. Biomedical Engineering / Biomedizinische Technik. 58 (Suppl. 1), [doi] [BibTex]

  • C. Otte, S. Otte, L. Wittig, G. Hüttmann, D. Drömann, A. Schlaefer (2013). Identifizierung von Tumorgewebe in der Lunge mittels optischer Kohärenztomographie. 58. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie e.V. (GMDS) [doi] [www] [BibTex]

  • F. Ernst, R. Dürichen, A. Schlaefer, A. Schweikard (2013). Evaluating and comparing algorithms for respiratory motion prediction. Phys Med Biol. 58 (11), 3911-3929. [doi] [BibTex]

  • F. Hartmann, A. Schlaefer, (2013). Feasibility of touch-less control of operating room lights. Int J Comput Assist Radiol Surg. 8 (2), 259-268. [Abstract] [doi] [BibTex] [pmid]

  • J. Hagenah, M. Scharfschwerdt, B. Stender, S. Ott, R. Friedl, H.H. Sievers, A. Schlaefer (2013). A setup for ultrasound based assessment of the aortic root geometry. Biomedical Engineering/Biomedizinische Technik. 58 (Suppl. 1), [doi] [BibTex] [pmid]

  • L. Richter, P. Trillenberg, A. Schweikard, A. Schlaefer (2013). Stimulus intensity for hand held and robotic transcranial magnetic stimulation. Brain Stimul. 6 (3), 315-321. [Abstract] [doi] [BibTex]

  • O. Shahin, M. Kleemann, A. Schlaefer (2013). Monitoring tumor location in navigated laparoscopic liver surgery. Computer Assisted Radiology and Surgery (CARS) [BibTex]

  • R. Dürichen, O. Blanck, J. Dunst, G. Hildebrandt, A. Schlaefer, A. Schweikard (2013). Atemphasenabhängige Prädiktionsfehler in der extrakraniellen stereotaktischen Strahlentherapie. Deutschen Gesellschaft für Radioonkologie (DEGRO) [Abstract] [BibTex]

  • S. Otte, C. Otte, A. Schlaefer, L. Wittig, G. Huttmann, D. Drömann, A. Zell (2013). OCT A-Scan based lung tumor tissue classification with Bidirectional Long Short Term Memory networks. Machine Learning for Signal Processing (MLSP), 2013 IEEE International Workshop on 1-6. [doi] [www] [BibTex]