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M. Ali Nasseri - Cognitive Cell Micromanipulation Laboratory
M. Ali Nasseri conducts research in areas related to micro- biomedical- technology where imaging, computer science and AI, mechanical engineering, and electrical engineering are applied to medical and biological applications in micro and nano scales. Recently he is putting special effort to upgrade the autonomy level of the aforementioned technologies such as developing micromanipulators and surgical robots with high autonomy levels.
M. Ali Nasseri studied electrical engineering (B.Sc.), mechatronics (M.Sc.) and medical robotics (Dr.-Ing.), and habilitation (Priv. Doz.) in the faculty of medicine with a focus on medical autonomy and machine intelligence. Following an experience of being the scientific manager of a European project with 40+ partners (ECHORD) and since 2015 he is now serving as the founding director of the medical autonomy and precision surgery (MAPS) laboratory at the ophthalmology department of Klinikum Rechts der Isar. Ali has published more than 100 peer-reviewed publications and obtained several international awards. Diverse education and training in engineering and medical science as well as his entrepreneurship experiences are in line with his interest in biomedical precision technologies such as micromanipulation and microsurgery in research, development, and translation. Ali’s research group is supported by several grants from public (BFS, DFG, and NIH) and industrial grants.
- Best short paper award, VCBM (2019)
- German Citizenship for highly qualified researchers
- Best student paper award for Sasan Matinfar, MICCAI (2017)
- Robot Dalen Innovation Award (2015)
- German permanent residency for highly qualified researchers (2013)
- EXIST Forschungstransfer Finalist (2012)
- Best poster award GSISH jubilee (2012)
- Award for most innovative idea GMSI (2011)
- Scholarship – Doctoral Study for 3 years (2011)
[Buchkapitel] Handbook of Robotic and Image-Guided Surgery, 2020
Bosch, C.M., Baumann, C., Dehghani, S., Sommersperger, M., Johannigmann-Malek, N., Kirchmair, K., Maier, M. and Nasseri, M.A. (2022). A tool for High-Resolution volumetric optical coherence tomography by compounding Radial-and linear acquired B-Scans using registration. Sensors, 2022(3), p.1135.
Dehghani, S., Sommersperger, M., Yang, J., Busam, B., Huang, K., Gehlbach, P., Iordachita, I., Navab, N. and Nasseri, M.A. (2021). ColibriDoc: An Eye-in-Hand Autonomous Trocar Docking System. To appear in the proceedings of ICRA 2022
Dehghani, S., Busam, B., Navab, N. and Nasseri, A. (2022). BFS-Net: Weakly Supervised Cell Instance Segmentation from Bright-Field Microscopy Z-Stacks. arXiv preprint arXiv:2206.04558.
Zhou, M., Yu, Q., Huang, K., Mahov, S., Eslami, A., Maier, M., Lohmann, C.P., Navab, N., Zapp, D., Knoll, A. and Nasseri, M.A. (2019). Towards robotic-assisted subretinal injection: A hybrid parallel–serial robot system design and preliminary evaluation. IEEE Transactions on Industrial Electronics, 67(8), pp.6617-6628.
Sarhan, M.H., Nasseri, M.A., Zapp, D., Maier, M., Lohmann, C.P., Navab, N. and Eslami, A. (2020). Machine learning techniques for ophthalmic data processing: a review. IEEE Journal of Biomedical and Health Informatics, 24(12), pp.3338-3350.
Zhou, M., Hao, X., Eslami, A., Huang, K.A.I., Cai, C., Lohmann, C.P., Navab, N., Knoll, A. and Nasseri, M.A. (2019). 6DOF needle pose estimation for robot-assisted vitreoretinal surgery. IEEE Access, 7, pp.63113-63122.
Zhou, M., Wang, X., Weiss, J., Eslami, A., Huang, K., Maier, M., Lohmann, C.P., Navab, N., Knoll, A. and Nasseri, M.A. (2019). Needle localization for robot-assisted subretinal injection based on deep learning. In 2019 International Conference on Robotics and Automation (ICRA) (pp. 8727-8732). IEEE.
Zhou, M., Hamad, M., Weiss, J., Eslami, A., Huang, K., Maier, M., Lohmann, C.P., Navab, N., Knoll, A. and Nasseri, M.A. (2018). Towards robotic eye surgery: Marker-free, online hand-eye calibration using optical coherence Matinfar, S., Nasseri, M.A., Eck, U., Kowalsky, M., Roodaki, H., Navab, N., Lohmann, C.P., Maier, M. and Navab, N., 2018. Surgical soundtracks: automatic acoustic augmentation of surgical procedures. International Journal of Computer Assisted Radiology and Surgery, 13(9), pp.1345-1355.
PD Ali M. Nasseri, PhD
Technical University of Munich
Chair of Biological Imaging
School of Medicine
Ophthalmology Clinic and Polyclinic
Helmholtz Zentrum München
Institute of Biological and Medical Imaging
Phone:+49 89 4140 4075