| Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved? O Bernard, A Lalande, C Zotti, F Cervenansky, X Yang, PA Heng, I Cetin, ... IEEE Transaction on Medical Imaging 37 (11), 2514 - 2525, 2018 | 480 | 2018 |
| Automatic cardiac disease assessment on cine-MRI via time-series segmentation and domain specific features F Isensee, PF Jaeger, PM Full, I Wolf, S Engelhardt, KH Maier-Hein International workshop on statistical atlases and computational models of …, 2017 | 169 | 2017 |
| Preoperative three-dimensional model creation of magnetic resonance brain images as a tool to assist neurosurgical planning BS Spottiswoode, DJ Van den Heever, Y Chang, S Engelhardt, ... Stereotactic and functional neurosurgery 91 (3), 162-169, 2013 | 94 | 2013 |
| Generating large labeled data sets for laparoscopic image processing tasks using unpaired image-to-image translation M Pfeiffer, I Funke, MR Robu, S Bodenstedt, L Strenger, S Engelhardt, ... International Conference on Medical Image Computing and Computer-Assisted …, 2019 | 28 | 2019 |
| Toward knowledge-based liver surgery: holistic information processing for surgical decision support K März, M Hafezi, T Weller, A Saffari, M Nolden, N Fard, A Majlesara, ... International Journal of Computer Assisted Radiology and Surgery 10 (6), 749-759, 2015 | 27 | 2015 |
| Improving surgical training phantoms by hyperrealism: deep unpaired image-to-image translation from real surgeries S Engelhardt, R De Simone, PM Full, M Karck, I Wolf International Conference on Medical Image Computing and Computer-Assisted …, 2018 | 26 | 2018 |
| A global benchmark of algorithms for segmenting the left atrium from late gadolinium-enhanced cardiac magnetic resonance imaging Z Xiong, Q Xia, Z Hu, N Huang, C Bian, Y Zheng, S Vesal, N Ravikumar, ... Medical Image Analysis 67, 101832, 2021 | 23 | 2021 |
| Flexible and comprehensive patient-specific mitral valve silicone models with chordae tendineae made from 3D-printable molds S Engelhardt, S Sauerzapf, B Preim, M Karck, I Wolf, R De Simone International journal of computer assisted radiology and surgery 14 (7 …, 2019 | 21 | 2019 |
| Machine learning for surgical phase recognition: a systematic review CR Garrow, KF Kowalewski, L Li, M Wagner, MW Schmidt, S Engelhardt, ... Annals of Surgery 273 (4), 684-693, 2021 | 14 | 2021 |
| Comprehensive patient-specific information preprocessing for cardiac surgery simulations N Schoch, F Kißler, M Stoll, S Engelhardt, R De Simone, I Wolf, R Bendl, ... International journal of computer assisted radiology and surgery 11 (6 …, 2016 | 14 | 2016 |
| Towards automatic assessment of the mitral valve coaptation zone from 4D ultrasound S Engelhardt, N Lichtenberg, S Al-Maisary, R De Simone, H Rauch, ... International Conference on Functional Imaging and Modeling of the Heart …, 2015 | 14 | 2015 |
| Features for Classification of Polyps in Colonoscopy. S Engelhardt, S Ameling, S Wirth, D Paulus Bildverarbeitung für die Medizin 574, 350-354, 2010 | 14 | 2010 |
| Intraoperative quantitative mitral valve analysis using optical tracking technology S Engelhardt, I Wolf, S Al-Maisary, H Schmidt, HP Meinzer, M Karck, ... The Annals of thoracic surgery 101 (5), 1950-1956, 2016 | 13 | 2016 |
| AR in VR: assessing surgical augmented reality visualizations in a steerable virtual reality environment J Hettig, S Engelhardt, C Hansen, G Mistelbauer International journal of computer assisted radiology and surgery 13 (11 …, 2018 | 12 | 2018 |
| 3D printing, computational modeling, and artificial intelligence for structural heart disease DD Wang, Z Qian, M Vukicevic, S Engelhardt, A Kheradvar, C Zhang, ... JACC: Cardiovascular Imaging 14 (1), 41-60, 2021 | 11 | 2021 |
| Replicated mitral valve models from real patients offer training opportunities for minimally invasive mitral valve repair S Engelhardt, S Sauerzapf, A Brčić, M Karck, I Wolf, R De Simone Interactive cardiovascular and thoracic surgery 29 (1), 43-50, 2019 | 10 | 2019 |
| Accuracy evaluation of a mitral valve surgery assistance system based on optical tracking S Engelhardt, R De Simone, S Al-Maisary, S Kolb, M Karck, HP Meinzer, ... International journal of computer assisted radiology and surgery 11 (10 …, 2016 | 10 | 2016 |
| High performance computing for cognition-guided cardiac surgery: soft tissue simulation for mitral valve reconstruction in knowledge-based surgery assistance N Schoch, S Engelhardt, R De Simone, I Wolf, V Heuveline Modeling, Simulation and Optimization of Complex Processes HPSC 2015, 205-221, 2017 | 8 | 2017 |
| Towards an open-source semantic data infrastructure for integrating clinical and scientific data in cognition-guided surgery A Fetzer, J Metzger, D Katic, K März, M Wagner, P Philipp, S Engelhardt, ... Medical Imaging 2016: PACS and Imaging Informatics: Next Generation and …, 2016 | 8 | 2016 |
| Cognitive tools pipeline for assistance of mitral valve surgery N Schoch, P Philipp, T Weller, S Engelhardt, M Volovyk, A Fetzer, ... Medical Imaging 2016: Image-Guided Procedures, Robotic Interventions, and …, 2016 | 8 | 2016 |
Stefanie SpeidelProfessor, National Center for Tumor Diseases (NCT) DresdenBestätigte E-Mail-Adresse bei nct-dresden.de
