| 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 | 1623 | 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 | 348 | 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 | 258 | 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 | 207 | 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 | 166 | 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 | 121 | 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 | 100 | 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 | 97 | 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 | 74 | 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 | 52 | 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 | 48 | 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 | 46 | 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 | 42 | 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 | 35 | 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 | 33 | 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 | 29 | 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 | 25 | 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 | 24 | 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 | 22 | 2021 |
| 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 | 21 | 2019 |
Ivo WolfUniversity of Applied Sciences Mannheim在 hs-mannheim.de 的电子邮件经过验证
