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) Teacher at the Graduate School for Systemic Neuroscience (GSN), LMU/TUM Munich LMU Klinikum Grosshadern email phone +49 89 4400 74803 (Office at Klinikum Grosshadern) +49 89 289 19403 (Office at Garching Campus) fax +49 89 289 17059 address Neurologische Forschung (04.R.01) Fraunhoferstr. 20 D-82152 Martinsried Institut für Informatik I-16 Technische Universität München Boltzmannstr. 3 85748 Garching b. München Germany room MI 03.13.043 profiles

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
  
• 3D modeling, surface model alignment and 3D visualization in science and medicine
• Spatio-temporal clinical signal data, spatio-temporal modeling

Publications

For an up-to-date publication list, please visit my Google Scholar profile.

2020
	G. Vivar, , A. Zwergal, N. Navab, A. Ahmadi Peri-Diagnostic Decision Support Through Cost-Efficient Feature Acquisition at Test-Time 23nd International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Lima, Peru, 2020 (bib)
	L. Cosmo, A. Kazi, A. Ahmadi, N. Navab, M. Bronstein Latent-Graph Learning for Disease Prediction 23nd International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Lima, Peru, 2020 (bib)
	H. Burwinkel, M. Keicher, D. Bani-Harouni, T. Zellner, F. Eyer, N. Navab, A. Ahmadi Decision Support for Intoxication Prediction Using Graph Convolutional Networks The first two authors contributed equally. International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), Lima, Peru, 2020 (pre-print version is available online at arXiv) (bib)
	H. Burwinkel, H. Matz, S. Saur, C. Hauger, A. Evren, N. Hirnschall, O. Findl, N. Navab, A. Ahmadi Domain-specific loss design for unsupervised physical training: A new approach to modeling medical ML solutions International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), Lima, Peru, 2020 (pre-print version is available online at arXiv) (bib)
	G. Vivar, A. Kazi, H. Burwinkel, A. Zwergal, N. Navab, A. Ahmadi Simultaneous imputation and disease classification in incomplete medical datasets using Multigraph Geometric Matrix Completion (MGMC) The original version is available online at arXiv. (bib)
2019
	A. Kazi, S. Shekarforoush, S. Krishna, H. Burwinkel, G. Vivar, B. Wiestler, K. Kortüm, A. Ahmadi, S. Albarqouni, N. Navab Graph convolution based attention model for personalized disease prediction 22nd International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Shenzhen, China, 2019 (bib)
	H. Burwinkel, A. Kazi, G. Vivar, S. Albarqouni, G. Zahnd, N. Navab, A. Ahmadi Adaptive image-feature learning for disease classification using inductive graph networks International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), Shenzhen, China, 2019 (pre-print version is available online at arXiv) (bib)
	A. Kazi, S. Shekarforoush, S. Krishna, H. Burwinkel, G. Vivar, K. Kortüm, A. Ahmadi, S. Albarqouni, N. Navab InceptionGCN : Receptive Field Aware Graph Convolutional Network for Disease Prediction (Oral) Proceedings of International Conference on Information Processing in Medical Imaging (IPMI), Hong Kong, 2019 (bib)
	G. Vivar, H. Burwinkel, A. Kazi, A. Zwergal, N. Navab, A. Ahmadi Multi-modal Graph Fusion for Inductive Disease Classification in Incomplete Datasets The original version is available online at arXiv. (bib)
2018
	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)
2016
	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)
2015
	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)
2014
	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)
2013
	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)
2012
	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)
2011
	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)
2010
	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)
2009
	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)
2008
	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)
2006
	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