Sandy Engelhardt
Sandy Engelhardt
Assistant Professor, PhD, MSc., University Heidelberg
Bestätigte E-Mail-Adresse bei - Startseite
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
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
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
Common limitations of image processing metrics: A picture story
A Reinke, MD Tizabi, CH Sudre, M Eisenmann, T Rädsch, M Baumgartner, ...
arXiv preprint arXiv:2104.05642, 2021
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
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
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
Denoising diffusion probabilistic models for 3D medical image generation
F Khader, G Müller-Franzes, S Tayebi Arasteh, T Han, C Haarburger, ...
Scientific Reports 13 (1), 7303, 2023
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
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
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
Medical diffusion: denoising diffusion probabilistic models for 3D medical image generation
F Khader, G Mueller-Franzes, ST Arasteh, T Han, C Haarburger, ...
arXiv preprint arXiv:2211.03364, 2022
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
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
Mutually improved endoscopic image synthesis and landmark detection in unpaired image-to-image translation
L Sharan, G Romano, S Koehler, H Kelm, M Karck, R De Simone, ...
IEEE Journal of Biomedical and Health Informatics 26 (1), 127-138, 2021
Biomedical image analysis competitions: The state of current participation practice
M Eisenmann, A Reinke, V Weru, MD Tizabi, F Isensee, TJ Adler, ...
arXiv preprint arXiv:2212.08568, 2022
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
Cross-domain conditional generative adversarial networks for stereoscopic hyperrealism in surgical training
S Engelhardt, L Sharan, M Karck, RD Simone, I Wolf
International Conference on Medical Image Computing and Computer-Assisted …, 2019
M2aia—Interactive, fast, and memory-efficient analysis of 2D and 3D multi-modal mass spectrometry imaging data
J Cordes, T Enzlein, C Marsching, M Hinze, S Engelhardt, C Hopf, I Wolf
GigaScience 10 (7), giab049, 2021
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