Sandy Engelhardt
Sandy Engelhardt
Assistant Professor, PhD, MSc., University Heidelberg
Bestätigte E-Mail-Adresse bei
Zitiert von
Zitiert von
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Features for Classification of Polyps in Colonoscopy.
S Engelhardt, S Ameling, S Wirth, D Paulus
Bildverarbeitung für die Medizin 574, 350-354, 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
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
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
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
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