| 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 | 869 | 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 Statistical Atlases and Computational Models of the Heart. ACDC and MMWHS …, 2018 | 266 | 2018 |
| 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 | 100 | 2013 |
| 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 | 91 | 2021 |
| 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 | 88 | 2021 |
| 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, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 56 | 2019 |
| 3D printing, computational modeling, and artificial intelligence for structural heart disease DD Wang, Z Qian, M Vukicevic, S Engelhardt, A Kheradvar, C Zhang, ... Cardiovascular Imaging 14 (1), 41-60, 2021 | 45 | 2021 |
| 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 Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018 | 36 | 2018 |
| 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, 1177-1186, 2019 | 30 | 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, 749-759, 2015 | 29 | 2015 |
| Applications of artificial intelligence/machine learning approaches in cardiovascular medicine: a systematic review with recommendations S Friedrich, S Groß, IR König, S Engelhardt, M Bahls, J Heinz, C Huber, ... European Heart Journal-Digital Health 2 (3), 424-436, 2021 | 22* | 2021 |
| 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, 1717-1725, 2018 | 20 | 2018 |
| Towards automatic assessment of the mitral valve coaptation zone from 4D ultrasound S Engelhardt, N Lichtenberg, S Al-Maisary, R De Simone, H Rauch, ... Functional Imaging and Modeling of the Heart: 8th International Conference …, 2015 | 16 | 2015 |
| Cross-domain conditional generative adversarial networks for stereoscopic hyperrealism in surgical training S Engelhardt, L Sharan, M Karck, RD Simone, I Wolf Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 15 | 2019 |
| 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 | 15 | 2019 |
| Features for Classification of Polyps in Colonoscopy. S Engelhardt, S Ameling, S Wirth, D Paulus Bildverarbeitung für die Medizin 574, 350-354, 2010 | 15 | 2010 |
| 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, 1051-1059, 2016 | 14 | 2016 |
| 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 | 14 | 2016 |
| 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, 1891-1904, 2016 | 13 | 2016 |
| Temporal views of flattened mitral valve geometries P Eulzer, S Engelhardt, N Lichtenberg, R De Simone, K Lawonn IEEE transactions on visualization and computer graphics 26 (1), 971-980, 2019 | 11 | 2019 |
Stefanie SpeidelProfessor, National Center for Tumor Diseases (NCT) DresdenBestätigte E-Mail-Adresse bei nct-dresden.de
