Chair for Computer Aided Medical Procedures & Augmented Reality
Lehrstuhl für Informatikanwendungen in der Medizin & Augmented Reality

Ahmad Ahmadi

Personal Information

Dr. rer. nat. Seyed-Ahmad Ahmadi
Young Scientist Group Leader
German Center for Vertigo and Balance Disorders (DSGZ)
Member of the Bernstein Center for Computational Neuroscience (BCCN)
LMU Klinikum Grosshadern
phone +49 89 4400 74812 (Office at Klinikum Grosshadern)
+49 89 289 19403 (Office at Garching Campus)
fax +49 89 289 17059
address Neurologisches Forschungshaus
Feodor-Lynen-Str. 19
D-81377 München
Institut für Informatik I-16
Technische Universität München
Boltzmannstr. 3
85748 Garching b. München
room MI 03.13.043
Welcome to my page...

Research Interests

  • Machine learning, deep learning, clinical translation: FCNNs, RNNs, auto-encoders, GANs, transfer learning
  • Multi-modal neuroimaging, structural imaging, multi-modal (non-)linear registration, ultrasound, MRI, CT, Parkinson's Disease, transcranial ultrasound
  • Spatio-temporal clinical signal data, spatio-temporal modeling


G. Vivar, A. Zwergal, N. Navab, A. Ahmadi
Multi-modal Disease Classification in Incomplete Datasets Using Geometric Matrix Completion.
Proceedings of MICCAI Workshop on Graphs in Biomedical Image Analysis, Granada, Spain, September 2018. (bib)
P. Christ, M.E.A. Elshaer, F. Ettlinger, S. Tatavarty, M. Bickel, P. Bilic, M. Rempfler, M. Armbruster, M. Hofmann, M. D'Anastasi, W.H. Sommer, A. Ahmadi, B. Menze
Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional Neural Networks and 3D Conditional Random Fields
Proceedings of the 19th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Athens, Greece, October 2016 (bib)
C. Kroll, F. Milletari, N. Navab, A. Ahmadi
Coupling Convolutional Neural Networks and Hough Voting for Robust Segmentation of Ultrasound Volumes
Accepted at GCPR 2016 (bib)
F. Milletari, N. Navab, A. Ahmadi
V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation
International Conference on 3DVision (3DV), Stanford University, California, USA, October 2016, arXiv:1606.04797 (bib)
F. Milletari, A. Ahmadi, C. Kroll, A. Plate, , , , , , K. Bötzel, N. Navab
Hough-CNN: Deep Learning for Segmentation of Deep Brain Regions in MRI and Ultrasound
arXiv:1601.07014 preprint (bib)
O. Bernard, F. Milletari, A. Ahmadi, et al.
Standardized evaluation system for left ventricular segmentation algorithms in 3D echocardiography
Institute of Electrical and Electronics Engineers IEEE Transactions on Medical Imaging (bib)
F. Milletari, A. Ahmadi, C. Kroll, C. Hennersperger, F. Tombari, A. Shah, A. Plate, K. Bötzel, N. Navab
Robust Segmentation of Various Anatomies in 3D Ultrasound Using Hough Forests and Learned Data Representations
MICCAI 2015, the 18th International Conference on Medical Image Computing and Computer Assisted Intervention (bib)
F. Milletari, W. Kehl, F. Tombari, S. Ilic, A. Ahmadi, N. Navab
Universal Hough dictionaries for object tracking
British Machine Vision Conference (BMVC), Swansea, UK, September 2015 (bib)
A. Ahmadi, F. Milletari, N. Navab, M. Schuberth, A. Plate, K. Bötzel
3D Transcranial Ultrasound as a Novel Intra-operative Imaging Technique for DBS surgery - A Feasibility Study
In Proc. 6th International Conference on Information Processing in Computer-Assisted Interventions (IPCAI), Barcelona (SP), June 24, 2015 (bib)
M. Salehi, A. Ahmadi, R. Prevost, N. Navab, W. Wein
Patient-specific 3D Ultrasound Simulation Based on Convolutional Ray-tracing and Appearance Optimization
MICCAI 2015, the 18th International Conference on Medical Image Computing and Computer Assisted Interventions (bib)
C. Hennersperger, M. Baust, P. Waelkens, A. Karamalis, A. Ahmadi, N. Navab
Multi-Scale Tubular Structure Detection in Ultrasound Imaging
Medical Imaging, IEEE Transactions on (34:1), Jan 2015 (bib)
F. Milletari, M. Yigitsoy, N. Navab, A. Ahmadi
Left Ventricle Segmentation in Cardiac Ultrasound Using Hough-Forests With Implicit Shape and Appearance Priors
MICCAI Challenge on Endocardial Three-dimensional Ultrasound Segmentation (CETUS), Boston, MA, September 2014 (bib)
P. Chatelain, O. Pauly, L. Peter, A. Ahmadi, A. Plate, K. Bötzel, N. Navab
Learning from Multiple Experts with Random Forests: Application to the Segmentation of the Midbrain in 3D Ultrasound
Proceedings of the 16th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Nagoya, Japan, September 2013 (bib)
A. Ahmadi, T. Klein, A. Plate, K. Bötzel, N. Navab
Rigid US-MRI Registration Through Segmentation of Equivalent Anatomic Structures - A feasibility study using 3D transcranial ultrasound of the midbrain.
Workshop Bildverarbeitung fuer die Medizin, Berlin (GER), March 18-20, 2012 (bib)
J. Beitzel, A. Ahmadi, A. Karamalis, W. Wein, N. Navab
Ultrasound Bone Detection Using Patient-Specific CT Prior
International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), San Diego, USA, September 1 2012. (bib)
A. Plate, A. Ahmadi, O. Pauly, T. Klein, N. Navab, K. Bötzel
3D Sonographic Examination of the Midbrain for Computer-Aided Diagnosis of Movement Disorders
To appear: Ultrasound in Medicine and Biology, ELSEVIER, Christy K. Holland (Editor), accepted for publication July 21 2012 (bib)
P. Waelkens, A. Ahmadi, N. Navab
'Frangi goes US': Multiscale Tubular Structure Detection Adapted to 3D Ultrasound
In Proc. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Nice (FR), October 01-05, 2012 (bib)
O. Pauly, A. Ahmadi, A. Plate, K. Bötzel, N. Navab
Detection of Substantia Nigra Echogenicities in 3D Transcranial Ultrasound for Early Diagnosis of Parkinson Disease
In Proc. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Nice (FR), October 01-05, 2012 (bib)
A. Okur, A. Ahmadi, A. Bigdelou, T. Wendler, N. Navab
MR in OR: First analysis of AR/VR visualization in 100 intra-operative Freehand SPECT acquisitions
The 10th IEEE and ACM International Symposium on Mixed and Augmented Reality (ISMAR), Basel, Switzerland, Oct. 26 - 29, 2011. (bib)
A. Ahmadi, M. Baust, A. Karamalis, A. Plate, K. Bötzel, T. Klein, N. Navab
Midbrain Segmentation in Transcranial 3D Ultrasound for Parkinson Diagnosis
In Proc. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Toronto (CA), September 18-22, 2011 (bib)
M. Wieczorek, A. Aichert, P. Fallavollita, O. Kutter, A. Ahmadi, L. Wang, N. Navab
Interactive 3D visualization of a single-view X-Ray image
Proceedings of Medical Image Computing and Computer-Assisted Intervention (MICCAI 2011), Toronto, Canada, September 2011. (bib)
N. Padoy, T. Blum, A. Ahmadi, H. Feußner, M.O. Berger, N. Navab
Statistical Modeling and Recognition of Surgical Workflow
Medical Image Analysis (2010), Volume 16, Issue 3, April 2012 (published online December 2010), pp. 632-641. The original publication is available online at www.elsevier.com. (bib)
A. Ahmadi, F. Pisana, E. DeMomi?, N. Navab, G. Ferrigno
User friendly graphical user interface for workflow management during navigated robotic-assisted keyhole neurosurgery
Computer Assisted Radiology (CARS), 24th International Congress and Exhibition, Geneva, CH, June 2010 (bib)
A. Plate, A. Ahmadi, T. Klein, N. Navab, J. Weiße, J. Mehrkens, K. Bötzel
Towards a More Objective Visualization of the Midbrain and its Surroundings Using 3D Transcranial Ultrasound
54. Jahrestagung der Deutschen Gesellschaft für Klinische Neurophysiologie und Funktionelle Bildgebung (DGKN), Halle, GER, March 2010 (bib)
A. Ahmadi, N. Padoy, K. Rybachuk, H. Feußner, S.M. Heining, N. Navab
Motif Discovery in OR Sensor Data with Application to Surgical Workflow Analysis and Activity Detection
MICCAI Workshop on Modeling and Monitoring of Computer Assisted Interventions (M2CAI), London, UK, September 2009 (bib)
A. Ahmadi, T. Klein, N. Navab
Advanced Planning and Ultrasound Guidance for Keyhole Neurosurgery in ROBOCAST
Russian Bavarian Conference (RBC), Munich, GER, July 2009 (bib)
A. Ahmadi, T. Klein, N. Navab, R. Roth, R.R. Shamir, L. Joskowicz, E. DeMomi?, G. Ferrigno, L. Antiga, R.I. Foroni
Advanced Planning and Intra-operative Validation for Robot-Assisted Keyhole Neurosurgery In ROBOCAST
International Conference on Advanced Robotics (ICAR), Munich, GER, June 2009 (bib)
C. Bichlmeier, B. Ockert, S.M. Heining, A. Ahmadi, N. Navab
Stepping into the Operating Theater: ARAV - Augmented Reality Aided Vertebroplasty
The 7th IEEE and ACM International Symposium on Mixed and Augmented Reality, Cambridge, UK, Sept. 15 - 18, 2008. (bib)
A. Ahmadi, N. Padoy, S.M. Heining, H. Feußner, M. Daumer, N. Navab
Introducing Wearable Accelerometers in the Surgery Room for Activity Detection
7. Jahrestagung der Deutschen Gesellschaft f{\"u}r Computer-und Roboter-Assistierte Chirurgie (CURAC 2008) (bib)
J. Traub, A. Ahmadi, N. Padoy, L. Wang, S.M. Heining, E. Euler, P. Jannin, N. Navab
Workflow Based Assessment of the Camera Augmented Mobile C-arm System
International Workshop on Augmented Reality environments for Medical Imaging and Computer-aided Surgery (AMI-ARCS 2008), New York, NY, USA, September 2008 (bib)
A. Ahmadi, T. Sielhorst, R. Stauder, M. Horn, H. Feußner, N. Navab
Recovery of surgical workflow without explicit models
Proceedings of Medical Image Computing and Computer-Assisted Intervention (MICCAI 2006), Copenhagen, Denmark, October 2006, pp. 420-428 (bib)

Current Projects

Title: Dr.
Circumference of your head (in cm):  
Firstname: Ahmad
Lastname: Ahmadi
Picture: AhmadiSeyed-Ahmad-NRO2795squareicon140.jpg
Birthday: 11. April 1982
Nationality: Germany
Languages: English, German, Persian
Groups: Surgical Workflow, Registration/Visualization, Segmentation, Reconstruction, Medical Imaging, Ultrasound
Expertise: Surgical Workflow, Registration/Visualization, Segmentation, Medical Imaging, Computer-Aided Surgery
Position: External Collaborator
Status: Active
Emailbefore: ahmadi
Emailafter: cs.tum.edu
Room: MI 03.13.043
Telephone: +49 89 289 19403
Defensedate: 18 April 2013
Thesistitle: Image Analysis Methods in Multi-View Transcranial 3D Ultrasound for Diagnosis of Neurological Movement-Disorders

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