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Journals

  1. Sharan, L., Romano, G., Koehler, S., Kelm, H., Karck, M., De Simone, R., and Engelhardt, S. (2022). Mutually Improved Endoscopic Image Synthesis and Landmark Detection in Unpaired Image-to-Image Translation. IEEE Journal of Biomedical and Health Informatics 26(1), 127–138. ISSN: 2168-2208. DOI: 10.1109/JBHI.2021.3099858. ( Paper , Code ) TLDR
  2. Sharan, L., Romano, G., Brand, J., Kelm, H., Karck, M., De Simone, R., and Engelhardt, S. (2021). Point detection through multi-instance deep heatmap regression for sutures in endoscopy. International Journal of Computer Assisted Radiology and Surgery 16(12), 2107–2117. ISSN: 1861-6429. DOI: 10.1007/s11548-021-02523-w. ( Paper , Code ) TLDR
  3. Burger, L.*, Sharan, L.*, Karl, R., Wang, C., Karck, M., De Simone, R., Wolf, I., Romano, G., and Engelhardt, S. (2023). Comparative evaluation of three commercially available markerless depth sensors for close-range use in surgical simulation. International Journal of Computer Assisted Radiology and Surgery 18(6), 1109–1118. ISSN: 1861-6429. DOI: 10.1007/s11548-023-02887-1. (*Equal contribution) ( Paper , Code ) TLDR
  4. Engelhardt, S., Dar S.U.H., Sharan, L., André, F., Nagel, E., and Thomas, S. (2024). Artificial intelligence in cardiovascular imaging and intervention. Herz. DOI: 10.1007/s00059-024-05264-z. ( Paper )
  5. Wang, C., Karl, R., Sharan, L., Grizelj, A., Fischer, S., Karck, M., De Simone, R., Romano, G., and Engelhardt, S. (2023). Surgical Training of Minimally Invasive Mitral Valve Repair on a Patient-Specific Simulator Improves Surgical Skills. European Journal of Cardio-Thoracic Surgery, ezad387. ISSN: 1873-734X. DOI:10.1093/ejcts/ezad387. ( Paper )
  6. Fischer, S., Romano, G., Sharan, L., Warnecke, G., Mereles, D., Karck, M., Simone, R. D., and Engelhardt, S. (2023). Surgical Rehearsal for Mitral Valve Repair: Personalizing Surgical Simulation by 3D Printing. The Annals of Thoracic Surgery 115(4), 1062–1067. ISSN: 0003-4975. DOI: 10.1016/j.athoracsur.2022.12.039. ( Paper )
  7. Kostiuchik, G., Sharan, L., Mayer, B., Wolf, I., Preim, B., and Engelhardt, S. (2024). Surgical phase and instrument recognition: how to identify appropriate dataset splits. International Journal of Computer Assisted Radiology and Surgery. ISSN: 1861-6429. DOI: 10.1007/s11548-024-03063-9. ( Paper )

Multi-institutional collaborative work

  1. Reinke A., Tizabi M.D., ..., Sharan, L., ..., Maier-Hein, L. (2023). Common limitations of image processing metrics: A picture story. arXiv preprint arXiv:2104.05642 DOI: 10.48550/arXiv.2104.05642 ( Pre-print ) Contribution

Conference proceedings

  1. Sharan, L., Kelm, H., Romano, G., Karck, M., De Simone, R., and Engelhardt, S (2023). mvHOTA: A multi-view higher order tracking accuracy metric to measure temporal and spatial associations in multi-point tracking. Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization 11(4), 1281–1289. ISSN: 2168-1163, 2168-1171. DOI: 10.1080/21681163.2022.2159535. ( Paper , Pre-print , Code ) TLDR
  2. Grizelj, A., Sharan, L., Karck, M., Simone, R. D., Romano, G., and Engelhardt, S. (2024). On-demand mitral valve morphometrics during surgical repair. Current Directions in Biomedical Engineering (accepted). TLDR
  3. Koehler, S., Sharan, L., Kuhm, J., Ghanaat, A., Gordejeva, J., Simon, N. K., Grell, N. M., André, F., and Engelhardt, S. (2022). Comparison of Evaluation Metrics for Landmark Detection in CMR Images. In: Bildverarbeitung für die Medizin 2022. Ed. by Maier-Hein, K., Deserno, T. M., Handels, H., Maier, A., Palm, C., and Tolxdorff, T. Springer Fachmedien Wiesbaden, Wiesbaden, pp. 198–203. DOI: 10.1007/978-3-658-36932-3_43. ( Paper , Pre-print )
  4. Burger, L., Sharan, L., Fischer, S., Brand, J., Hehl, M., Romano, G., Karck, M., De Simone, R., Wolf, I., and Engelhardt, S. (2022). Comparison of Depth Estimation Setups from Stereo Endoscopy and Optical Tracking for Point Measurements. In: Bildverarbeitung für die Medizin 2022. Ed. by Maier-Hein, K., Deserno, T. M., Handels, H., Maier, A., Palm, C., and Tolxdorff, T. Springer Fachmedien Wiesbaden, Wiesbaden, pp. 160–165. DOI: 10.1007/978-3-658-36932-3_35. ( Paper , Pre-print )
  5. Stern, A., Sharan, L., Romano, G., Koehler, S., Karck, M., De Simone, R., Wolf, I., and Engelhardt, S. (2021). Heatmap-based 2D Landmark Detection with a Varying Number of Landmarks. In: Bildverarbeitung für die Medizin 2021. Ed. by Palm, C., Deserno, T. M., Handels, H., Maier, A., Maier-Hein, K., and Tolxdorff, T., Springer Fachmedien, Wiesbaden, pp. 22–27. DOI: 10.1007/978-3-658-33198-6_7. ( Paper , Pre-print )
  6. Sharan, L., Burger, L., Kostiuchik, G., Wolf, I., Karck, M., Simone, R. D., and Engelhardt, S. (2020). Domain gap in adapting self-supervised depth estimation methods for stereo-endoscopy. Current Directions in Biomedical Engineering 6(1). ISSN: 2364-5504. DOI: 10.1080/21681163.2022.2159535. ( Paper )
  7. Engelhardt, S., Sharan, L., Karck, M., Simone, R. D., and Wolf, I. (2019). Cross-Domain Conditional Generative Adversarial Networks for Stereoscopic Hyperrealism in Surgical Training. In: Medical Image Computing and Computer Assisted Intervention – MICCAI 2019. Ed. by Shen, D., Liu, T., Peters, T. M., Staib, L. H., Essert, C., Zhou, S., Yap, P.-T., and Khan, A., Springer International Publishing, Cham, pp. 155–163. DOI: 10.1007/978-3-030-32254-0_18. ( Paper , Pre-print )
  8. Preetha, C. J., Kloss, J., Wehrtmann, F. S., Sharan, L., Fan, C., Müller-Stich, B. P., Nickel, F., and Engelhardt, S. (2020). Towards augmented reality-based suturing in monocular laparoscopic training. In: Medical Imaging 2020: Image-Guided Procedures, Robotic Interventions, and Modeling. SPIE, pp. 232–238. DOI: 10.1117/12.2550830. ( Paper , Pre-print )

Posters and abstracts

  1. Sharan, L., Burger, L., Wang, C., Grizelj, A., Karl, R., Chen, J., Fischer, S., Brand, J., Marx, J., Romano, G., Karck, M., De Simone, R., Engelhardt, S. AI and AR support for minimally invasive Mitral Valve Repair. Poster and talk at Informatics for Life annual meeting in Heidelberg, Germany, 2022. Winner, Best Poster Award
  2. Sharan, L., Burger, L., Wang, C., Grizelj, A., Karl, R., Chen, J., Fischer, S., Brand, J., Marx, J., Romano, G., Karck, M., De Simone, R., Engelhardt, S. AI and AR based computational support for minimally invasive Mitral Valve Repair. Talk at Informatics for Life annual meeting in Heidelberg, Germany, 2023.
  3. Sharan, L., Lukas Burger, Christina Wang, Andela Grizelj, Roger Karl, Jimmy Chen, Samantha Fischer, Julian Brandt, Josephin Marx, Gabriele Romano, Matthias Karck, Raffaele De Simone, Sandy Engelhardt. AI and AR assisted minimally invasive mitral valve repair. AI4MED-BW Retreat
  4. Sharan, L., Burger, L., Wang, C., Grizelj, A., Kapusta, M., Karl, R., Chen, J., Fischer, S., Brand, J., Marx, J., Romano, G., Karck, M., De Simone, R., Engelhardt, S. AI and AR based computational support for minimally invasive Mitral Valve Repair. Talk at 26th International Conference on Medical Image Computing and Computer Assisted Intervention, Vancouver, Canada 2023.
  5. Sharan, L., Burger, L., Wang, C., Grizelj, A., Kapusta, M., Karl, R., Chen, J., Fischer, S., Brand, J., Marx, J., Romano, G., Karck, M., De Simone, R., Engelhardt, S. Quantitative endoscopic image analysis. Talk at MIDL Doctoral Symposium, Germany, 2021.
  6. Wang, C., Karl, R., Sharan, L., Grizelj, A., Fischer, S., Karck, M., De Simone, R., Romano, G., and Engelhardt, S. Quantification of the learning progress in minimally invasive mitral valve repair on a patient-specific simulator. Poster at the Deutsche Gesellschaft für Kardiologie – Herz- und Kreislaufforschung e.V. (DGK) annual meeting in Mannheim, Germany, 2023.
  7. Chen, J., Romano, G., Mayer, B., Kelm, H., Marx, J., Kostiuchik G., Sharan, L., Preim, B., Karck, M., De Simone, R., Engelhardt, S. The unmet potential of digital workflow analysis for interventional cardiology and cardiac surgery. Poster at the Deutsche Gesellschaft für Kardiologie – Herz- und Kreislaufforschung e.V. (DGK) annual meeting in Mannheim, Germany, 2023.
  8. Engelhardt, S., Sharan, L., Karck, M., De Simone, R., & Wolf, I. (2020). Abstract: Generative Adversarial Networks for Stereoscopic Hyperrealism in Surgical Training. In T. Tolxdorff, T. M. Deserno, H. Handels, A. Maier, K. H. Maier-Hein, & C. Palm (Eds.), Bildverarbeitung für die Medizin 2020 (pp. 341–341). Springer Fachmedien. DOI: 10.1007/978-3-658-29267-6_75
  9. Sharan, L., Karl, R.*, Fischer, S., Marx, J., Brand, J., Romano, G., De Simone, R., Engelhardt, S. Patient-specific Mitral Valve Simulation to Support Therapy. Poster at Informatics for Life annual meeting in Heidelberg, Germany, 2021. (*Equal contribution) Winner, Best Poster Award