AG Artificial Intelligence in Cardiovascular Medicine

Augmented Reality and Deep Generative Models in Endoscopy

The AdaptOR challenge 2022 is now open!

tempCycleGAN: Generative Adversarial Network Improves Realism During Surgical Training - MICCAI 2018 (Youtube)

From intraoperative empirical valve inspection towards quantitative optical tracking analysis (Video)

Surgical Simulation with 3D Printing

Training Reconstructive Mitral Valve Surgery on Patient-Specific Mitral Valve Models (Youtube)

Temporal Views of Flattened Mitral Valve Geometries (Youtube)

Deep Cardiac MRI processing

3D CMR domain adaptation

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  Jun. Prof. Dr. Sandy Engelhardt

  Focus

  Medical Image Processing, Deep Learning, Computer-assisted Surgery

  Email
  +49 6221 56-37173
  

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  Dr. Salman Ul Hassan Dar

  Focus

  Medical image processing, Computer vision, Deep learning

  Email
  +49 6221 56-310341
  

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  Roger Karl, M.Sc.

  Focus

  Hemodynamic simulators and patient-specific replicas in Cardiovascular medicine

  Email
  +49 6221 56-32089
  

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  Sven Köhler, M.Sc.

  Focus

  Computer Vision, Deep Learning and Motion analysis in Cardiovascular medicine

  Email
  +49 6221 56-310341
  

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  Lalith Sharan, M.Sc.

  Focus

  Quantitative endoscopic image analysis for mitral valve repair

  Email
  +49 6221 56-32043
  

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  Malte Tölle, M.Sc.

  Focus

  Computer Vision and Deep Learning

  Email
  +49 6221 56-310341
  

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  Jimmy Chen

  Focus

  Surgical Process Modelling for Patients with Mitral Regurgitation

  Email
  
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  Samantha Fischer

  Focus

  Simulating Mitral Valve Repair Surgeries with Patient-Specific Silicone Valve Models

  Email
  
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  Arman Ghanaat

  Focus

  Deep learning-based coronary artery analysis of coronary CT angiography-data

  Email
  
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  Julian Kuhm

  Focus

  Cardiac Motion Vector Field Visualization and Clustering

  Email
  
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  Josephin Marx

  Focus

  Creation of patient-specific 3D models for mitral valve reconstruction and interventional procedures: comparison of pathologies and forms of therapy

  Email
  
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  Lukas Mohl

  Focus

  Development of patient-specific aortic models for hemodynamic training

  Email
  
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  Christina Wang

  Focus

  Surgical Training of Mitral Valve Reconstruction on Patient-Specific Simulators for Quantification of the Learning Progress

  Email
  

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  Sören Bergt, B. Sc.

  Master's Thesis

  Focus

  Research on Mitral Valve Materials for Dynamic Simulation

  Email
  
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  Lukas Burger, B.Sc.

  Master's Thesis

  Focus

  Depth sensing with infrared stereo and structured light approaches

  Email
  
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  Andela Grizelj

  Student Assistant

  Email
  
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  Maximilian Hehl

  Bachelor's Thesis

  Email
  
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  Halvar Kelm

  Student Assistant

  Focus

  Curriculum learning for multi-instance sparse heatmap based suture detection for endoscopy

  Email
  
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  Georgii Kostiuchik

  Master's Thesis

  Focus

  Surgical Phase Recognition

  Email
  

Alexander Rogausch
Antonia Stern
Florian Ritzmann
Jean-Luc Busch
Jonathan Kloss
Julian Brand
Maren Leidner
Meret Anne Siemer
Michael Salzgeber
Robert Kreher
Simon Sauerzapf
Ulrike Schnaithmann

Fischer, S., Romano, G., Sharan, L., Warnecke, G., Mereles, D., Karck, M., De Simone, R., Engelhardt, S.
Surgical Rehearsal for Mitral Valve Repair: Personalizing Surgical Simulation by 3D-Printing
In: The Annals of Thoracic Surgery (2023)
PDF | BibTeX

Mayer, S., Meuschke, M., Chen, J., Müller-Stich, B., Wagner, M., Preim, B., Engelhardt, S.
Interactive visual exploration of surgical process data
In: International Journal of Computer Assisted Radiology and Surgery 2022
PDF | BibTeX

Sharan, L., Romano G., Kelm, H., Karck, M., De Simone, R., Engelhardt, S.
mvHOTA: A multi-view higher order tracking accuracy metric to measure spatial and temporal associations in multi-point detection
In: AE-CAI | CARE | OR 2.0 JOINT MICCAI WORKSHOP 2022 at MICCAI 2022
Preprint | Repo | Poster

Koehler, S., Hussain, T.,Hussain, H., Young, D., Sarikouch, S., Pickhardt, T., Greil, G., Engelhardt, S
Self-supervised motion descriptor for cardiac phase detection in 4D CMR based on discrete vector field estimations
In: 13th edition of Statistical Atlases and Computational Modeling of the Heart (STACOM) Workshop at MICCAI22
Preprint | BibTeX | Repo

Toelle, M., Koethe, U., André, F., Meder, B., Engelhardt, S.
Content-Aware Differential Privacy with Conditional Invertible Neural Networks
In: 3rd Workshop on Distributed, Collaborative, and Federated Learning (DeCaF) at MICCAI22
Preprint | BibTeX

Mira, A., Lamata, P., Pushparajah, K., Abraham, G., Mauger, C. A., McCulloch, A. D., Omens, J., Bissell, M. M., Blair, Z., Huffaker, T., Tandon, A., Engelhardt, S., Koehler, S., Pickardt, T., Beerbaum, P., Sarikouch, S., Latus, H., Greil, G., Young, A., Hussain, T.
Le Coeur en Sabot: Shape Associations with Adverse Events in Repaired Tetralogy of
Fallot.
In: Journal of Cardiovascular Magnetic Resonance 2022
PDF | BibTeX

Laves, M. H., Toelle, M., Schlaefer, A., Engelhardt, S.
Posterior temperature optimized Bayesian models for inverse problems in medical imaging
In: Medical Image Analysis Volume 78 May 2022
PDF| BibTeX  | Repo

Koehler, S., Sharan, L., Kuhm, J., Ghanaat, A., Gordejeva, J., Simon, N. K., Grell, N. M., André, F., Engelhardt, S.
Comparison of Evaluation Metrics for Landmark Detection in CMR Images
In: Bildverarbeitung in der Medizin (BVM), Informatik aktuell. Springer Vieweg, Wiesbaden 2022
Repo | Preprint

Burger, L., Sharan, L., Fischer, S., Brand, J., Hehl, M., Romano, G., Karck, M., De Simone, R., Wolf, I., Engelhardt, S.
Comparison of Depth Estimation Setups from Stereo Endoscopy and Optical Tracking for Point Measurements
In: Bildverarbeitung in der Medizin (BVM), Informatik aktuell. Springer Vieweg, Wiesbaden 2022
Preprint

Laves, M.H., Toelle, M., Schlaefer, A., Engelhardt, S.
Posterior Temperature Optimization in Variational Inference for Inverse Problems.
In: Bayesian Deep Learning Workshop (NeurIPS) 2021
PDF| BibTeX  | Repo | Preprint

Sharan, L., Romano, G., Brand, J., Kelm, H., Karck, M., De Simone, R., Engelhardt, S.
Point detection through multi-instance deep heatmap regression for sutures in endoscopy
In: International Journal of Computer Assisted Radiology and Surgery 2021
PDF| BibTeX  | Repo | Preprint

Cordes, J., Enzlein, T., Marsching, C., Hinze, M., Engelhardt, S., Hopf, C., Wolf, I.
M²aia—Interactive, fast, and memory-efficient analysis of 2D and 3D multi-modal mass spectrometry imaging data
In: GigaScience, Volume 10, Issue 7, July 2021
PDF| BibTeX

Toelle, M., Laves, M., Schlaefer, A.
A Mean-Field Variational Inference Approach to Deep Image Prior for Inverse Problems in Medical Imaging
In: MIDL 2021
PDF

Sharan, L., Romano, G., Koehler, S., Kelm, H., Karck, M., De Simone, R., Engelhardt, S.
Mutually improved endoscopic image synthesis and landmark detection in unpaired image-to-image translation
In: IEEE JBHI 2021
PDF| BibTeX  | Preprint| Repo

Friedrich, S., Groß, S., König, I. R., Engelhardt, S., Bahls, M., Heinz, J., Huber, C., Kaderali, L., Kelm, M., Leha, A., Rühl, J., Schaller, J., Scherer, C., Vollmer, M., Seidler, T., Friede T.
Applications of AI/ML approaches in cardiovascular medicine: A systematic review with recommendations
In: European Heart Journal - Digital Health 2021
PDF| BibTeX

Koehler, S., Hussain, T., Blair, Z., Huffaker, T., Ritzmann, F., Tandon, A., Pickardt, T., Sarikouch, S., Latus, H., Greil, G., Wolf, I., Engelhardt, S.
Unsupervised Domain Adaptation from Axial to Short-Axis Multi-Slice Cardiac MR Images by Incorporating Pretrained Task Networks
In: IEEE Transactions on Medical Imaging 2021
PDF| BibTeX  |  Preprint|  Repo

Stern, A., Sharan, L., Romano, G., Koehler, S., Karck, M., De Simone, R., Wolf, I., Engelhardt, S.
Heatmap-based 2D Landmark Detection with a Varying Number of Landmarks
In: Bildverarbeitung für die Medizin (BVM), Informatik aktuell. Springer Vieweg, Wiesbaden 2021
PDF| BibTeX  |  Preprint

Garrow, C. R., Kowalewski, K., Li, L., Wagner, M., Schmidt, M. W., Engelhardt, S., Hashimoto, D. A., Kenngott, H. G., Bodenstedt, S., Speidel, S., Müller-Stich, B. P., Nickel, F.
Machine Learning for Surgical Phase Recognition: A Systematic Review
In: Annals of Surgery 2020
PDF | BibTeX

Engelhardt, S., Sharan, L., Karck, M., De Simone, R., Wolf, I.
Generative Adversarial Networks for Stereoscopic Hyperrealism in Surgical Training
In: Bildverarbeitung für die Medizin (BVM) 2020
PDF | BibTeX | BVM2020Talk

Lichtenberg, N., Eulzer, P., Romano, G., Brcic, A., Karck, M., Lawonn, K., de Simone, R., Engelhardt, S.
Mitral valve flattening and parameter mapping for patient-specific valve diagnosis
In: International Journal of Computer Assisted Radiology and Surgery 2020
PDF | BibTeX

Wang, D.D., Qian, Z., Vukicevic, M., Engelhardt, S., Kheradvar, A., Zhang, C., Little, S.H., Verjans, J., Comaniciu, D., O’Neill, W.W., Vannan M.A.
3D Printing, Computational Modeling, and Artificial Intelligence for Structural Heart Disease
In: JACC: Cardiovascular Imaging, Volume 14, Issue 1, January 2021
PDF | BibTeX

Xiong, Z., Xia, Q., Hu, Z., Huang, N., Bian, C., Zheng, Y., Vesal, S., Ravikumar, N., Maier, A., Yang, X., Heng, P., Ni, D., Li, C., Tong, Q., Si, W., Puybareau, E., Khoudli, Y., Géraud, T., Chen, C., Bai, W., Rueckert, D., Xu, L., Zhuang, X., Luo, X., Jia, S., Sermesant, M., Liu, Y., Wang, K., Borra, D., Masci, A., Corsi, C., Vente, C., Veta, M., Karim, R., Preetha, C. J., Engelhardt, S., Qiao, M., Wang, Y., Tao, Q., Nuñez-Garcia, M., Camara, O., Savioli, N., Lamata, P., Zhao, J.
A Global Benchmark of Algorithms for Segmenting the Left Atrium from Late Gadolinium-Enhanced Cardiac Magnetic Resonance Imaging
In: Medical Image Analysis, Volume 67, January 2021
PDF | BibTeX | Preprint

Sharan, L., Burger, L., Kostiuchik, G., Wolf, I., Karck, M., De Simone, R., Engelhardt, S.
Domain gap in adapting self-supervised depth estimation methods for stereo-endoscopy
In Current Directions in Biomedical Engineering (CDBME) 2020 - (3^rd Place CURAC Best Poster Award)
PDF | BibTeX | Video

Kreher, R., Groscheck, T., Qarri, K., Preim, B., Schmeisser, A., Rauwolf, T., Christian, R., Engelhardt, S.
A Novel Calibration Phantom for Combining Echocardiography with Electromagnetic Tracking
In: Current Directions in Biomedical Engineering (CDBME) 2020
PDF | BibTeX | Calibration Phantom

Koehler, S., Tandon, A., Hussain, T., Latus, H., Pickardt T., Sarikouch, S., Beerbaum, B., Greil, G., Engelhardt, S., and Wolf, I.
How well do U-Net-based segmentation trained on adult cardiac magnetic resonance imaging data generalize to rare congenital heart diseases for surgical planning?
In: Proc. SPIE 11315, Medical Imaging 2020: Image-Guided Procedures, Robotic Interventions, and Modeling, 113151K (16 March 2020)
PDF | BibTeX | Preprint

Preetha, C.J., Wehrtmann, F.S., Sharan, L., Fan, C., Kloss, J., Müller-Stich, B.P., Nickel, F., Engelhardt, S.
Towards augmented reality-based suturing in monocular laparoscopic training
In: Proc. SPIE 11315, Medical Imaging 2020: Image-Guided Procedures, Robotic Interventions, and Modeling, 113150X (16 March 2020)
PDF | BibTeX | Preprint

Eulzer, P., Engelhardt, S., Lichtenberg, N., De Simone, R., Lawonn, K.
Temporal Views of Flattened Mitral Valve Geometries
In IEEE Trans Vis Comput Graph 2020
PDF | BibTeX | SciVis2019Talk | SciVis2019Preview | Supplemental Material Video

Pfeiffer, M., Funke, I., Robu, R. M., Bodenstedt, S., Strenger, L., Engelhardt, S., Roß, T., Clarkson, M.J., Gurusamy, K., Davidson, B.R., Maier-Hein, L., Riediger, C., Welsch, T., Weitz, J., Speidel, S.
Generating large labeled data sets for laparoscopic image processing tasks using unpaired image-to-image translation
In: Shen D. et al. (eds) Medical Image Computing and Computer Assisted Intervention – MICCAI 2019
PDF | BibTeX | Preprint | Dataset | Code

Engelhardt, S., Sharan, L., Karck, M., De Simone, R., Wolf, I.
Cross-Domain Conditional Generative Adversarial Networks for Stereoscopic Hyperrealism in Surgical Training
In: Shen D. et al. (eds) Medical Image Computing and Computer Assisted Intervention – MICCAI 2019
PDF | BibTeX | Preprint | Supplemental Material Video

Engelhardt, S., Sauerzapf, S., Preim, B., Karck, M., Wolf, I., De Simone, R.
Flexible and Comprehensive Patient-Specific Mitral Valve Silicone Models with Chordae Tendinae Made From 3D-Printable Molds
In: IJCARS Special Issue IPCAI 2019
PDF | BibTeX | Preprint | Video

Engelhardt S., De Simone R., Full P.M., Karck M., Wolf I.
Improving Surgical Training Phantoms by Hyperrealism: Deep Unpaired Image-to-Image Translation from Real Surgeries
In: Medical Image Computing and Computer Assisted Intervention – MICCAI 2018
PDF | BibTeX | Preprint

Bernard, O., Lalande, A., Zotti, C., Cervenansky, F., Yang, X., Heng, P.A., Cetin, I., Lekadir, K., Camara, O., Gonzalez Ballester, M.A.; Sanroma, G., Napel, S., Petersen, S., Tziritas, G., Grinias, E., Khened, M., Kollerathu, V.A., Krishnamurthi, G., Rohé, M.M., Pennec, X; Sermesant, M., Isensee, F., Jäger, P., Maier-Hein K.H., Full, P.M., Wolf, I., Engelhardt, S.,  Baumgartner, C.F., Koch, L.M., Wolterink, J.M., Išgum, I., Jang, Y., Hong, Y., Patravali, J., Jain, S., Humbert, O., Jodoin, P-M.
Deep Learning Techniques for Automatic MRI Cardiac Multi-structures Segmentation and Diagnosis: Is the Problem Solved?
In: IEEE Transactions on Medical Imaging 2018
PDF | BibTeX | Preprint

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