Seyed-Ahmad Ahmadi

ORCID

Publication Activity (10 Years)

Years Active: 2006-2023
Publications (10 Years): 51

Top Venues

Technical University Munich (PHD)

Education History

Technical University Munich

PHD

Publications

Kamilia Zaripova, Luca Cosmo, Anees Kazi, Seyed-Ahmad Ahmadi, Michael M. Bronstein, Nassir Navab
Graph-in-Graph (GiG): Learning interpretable latent graphs in non-Euclidean domain for biological and healthcare applications. Medical Image Anal. 88 (2023)
Anees Kazi, Luca Cosmo, Seyed-Ahmad Ahmadi, Nassir Navab, Michael M. Bronstein
Differentiable Graph Module (DGM) for Graph Convolutional Networks. IEEE Trans. Pattern Anal. Mach. Intell. 45 (2) (2023)
Yousef Yeganeh, Azade Farshad, Peter Weinberger, Seyed-Ahmad Ahmadi, Ehsan Adeli, Nassir Navab
Transformers Pay Attention to Convolutions Leveraging Emerging Properties of ViTs by Dual Attention-Image Network. ICCV (Workshops) (2023)
Jianning Li, André Ferreira, Behrus Puladi, Victor Alves, Michael Kamp, Moon S. Kim, Felix Nensa, Jens Kleesiek, Seyed-Ahmad Ahmadi, Jan Egger
Open-source skull reconstruction with MONAI. SoftwareX 23 (2023)
Yousef Yeganeh, Azade Farshad, Peter Weinberger, Seyed-Ahmad Ahmadi, Ehsan Adeli, Nassir Navab
DIAMANT: Dual Image-Attention Map Encoders For Medical Image Segmentation. CoRR (2023)
Jianning Li, Jana Fragemann, Seyed-Ahmad Ahmadi, Jens Kleesiek, Jan Egger
Training β-VAE by Aggregating a Learned Gaussian Posterior with a Decoupled Decoder. CoRR (2022)
Kamilia Mullakaeva, Luca Cosmo, Anees Kazi, Seyed-Ahmad Ahmadi, Nassir Navab, Michael M. Bronstein
Graph-in-Graph (GiG): Learning interpretable latent graphs in non-Euclidean domain for biological and healthcare applications. CoRR (2022)
Jianning Li, Jana Fragemann, Seyed-Ahmad Ahmadi, Jens Kleesiek, Jan Egger
Training β-VAE by Aggregating a Learned Gaussian Posterior with a Decoupled Decoder. MAD@MICCAI (2022)
Cammille C. Go, Huseyin O. Taskin, Seyed-Ahmad Ahmadi, Giulia Frazzetta, Laura Cutler, Saguna Malhotra, Jessica I. W. Morgan, Virginia L. Flanagin, Geoffrey Karl Aguirre
Persistent horizontal and vertical, MR-induced nystagmus in resting state Human Connectome Project data. NeuroImage 255 (2022)
Hendrik Burwinkel, Holger Matz, Stefan Saur, Christoph Hauger, Michael Trost, Nino Hirnschall, Oliver Findl, Nassir Navab, Seyed-Ahmad Ahmadi
Physics-aware learning and domain-specific loss design in ophthalmology. Medical Image Anal. 76 (2022)
Jianning Li, André Ferreira, Behrus Puladi, Victor Alves, Michael Kamp, Moon-Sung Kim, Felix Nensa, Jens Kleesiek, Seyed-Ahmad Ahmadi, Jan Egger
Open-Source Skull Reconstruction with MONAI. CoRR (2022)
Gerome Vivar, Anees Kazi, Hendrik Burwinkel, Andreas Zwergal, Nassir Navab, Seyed-Ahmad Ahmadi
Simultaneous imputation and classification using Multigraph Geometric Matrix Completion (MGMC): Application to neurodegenerative disease classification. Artif. Intell. Medicine 117 (2021)
Maximilian Grosch, Leonie Beyer, Magdalena Lindner, Lena Kaiser, Seyed-Ahmad Ahmadi, Anna Stockbauer, Peter Bartenstein, Marianne Dieterich, Matthias Brendel, Andreas Zwergal, Sibylle Ziegler
Metabolic connectivity-based single subject classification by multi-regional linear approximation in the rat. NeuroImage 235 (2021)
Gerome Vivar, Kamilia Mullakaeva, Andreas Zwergal, Nassir Navab, Seyed-Ahmad Ahmadi
Peri-Diagnostic Decision Support Through Cost-Efficient Feature Acquisition at Test-Time. MICCAI (2) (2020)
Luca Cosmo, Anees Kazi, Seyed-Ahmad Ahmadi, Nassir Navab, Michael M. Bronstein
Latent Patient Network Learning for Automatic Diagnosis. CoRR (2020)
Hendrik Burwinkel, Holger Matz, Stefan Saur, Christoph Hauger, Ayse Mine Evren, Nino Hirnschall, Oliver Findl, Nassir Navab, Seyed-Ahmad Ahmadi
Domain-specific loss design for unsupervised physical training: A new approach to modeling medical ML solutions. CoRR (2020)
Hendrik Burwinkel, Matthias Keicher, David Bani-Harouni, Tobias Zellner, Florian Eyer, Nassir Navab, Seyed-Ahmad Ahmadi
Decision Support for Intoxication Prediction Using Graph Convolutional Networks. MICCAI (2) (2020)
Luca Cosmo, Anees Kazi, Seyed-Ahmad Ahmadi, Nassir Navab, Michael M. Bronstein
Latent-Graph Learning for Disease Prediction. MICCAI (2) (2020)
Gerome Vivar, Anees Kazi, Hendrik Burwinkel, Andreas Zwergal, Nassir Navab, Seyed-Ahmad Ahmadi
Simultaneous imputation and disease classification in incomplete medical datasets using Multigraph Geometric Matrix Completion (MGMC). CoRR (2020)
Hendrik Burwinkel, Matthias Keicher, David Bani-Harouni, Tobias Zellner, Florian Eyer, Nassir Navab, Seyed-Ahmad Ahmadi
Decision Support for Intoxication Prediction Using Graph Convolutional Networks. CoRR (2020)
Gerome Vivar, Kamilia Mullakaeva, Andreas Zwergal, Nassir Navab, Seyed-Ahmad Ahmadi
Peri-Diagnostic Decision Support Through Cost-Efficient Feature Acquisition at Test-Time. CoRR (2020)
Hendrik Burwinkel, Holger Matz, Stefan Saur, Christoph Hauger, Ayse Mine Evren, Nino Hirnschall, Oliver Findl, Nassir Navab, Seyed-Ahmad Ahmadi
Domain-Specific Loss Design for Unsupervised Physical Training: A New Approach to Modeling Medical ML Solutions. MICCAI (2) (2020)
Fausto Milletari, Johann Frei, Moustafa AboulAtta, Gerome Vivar, Seyed-Ahmad Ahmadi
Cloud Deployment of High-Resolution Medical Image Analysis With TOMAAT. IEEE J. Biomed. Health Informatics 23 (3) (2019)
Anees Kazi, Shayan Shekarforoush, S. Arvind Krishna, Hendrik Burwinkel, Gerome Vivar, Karsten Kortüm, Seyed-Ahmad Ahmadi, Shadi Albarqouni, Nassir Navab
InceptionGCN: Receptive Field Aware Graph Convolutional Network for Disease Prediction. IPMI (2019)
Anees Kazi, Shayan Shekarforoush, S. Arvind Krishna, Hendrik Burwinkel, Gerome Vivar, Benedikt Wiestler, Karsten Kortüm, Seyed-Ahmad Ahmadi, Shadi Albarqouni, Nassir Navab
Graph Convolution Based Attention Model for Personalized Disease Prediction. MICCAI (4) (2019)
Hendrik Burwinkel, Anees Kazi, Gerome Vivar, Shadi Albarqouni, Guillaume Zahnd, Nassir Navab, Seyed-Ahmad Ahmadi
Adaptive image-feature learning for disease classification using inductive graph networks. CoRR (2019)
Anees Kazi, Shayan Shekarforoush, S. Arvind Krishna, Hendrik Burwinkel, Gerome Vivar, Karsten Kortuem, Seyed-Ahmad Ahmadi, Shadi Albarqouni, Nassir Navab
InceptionGCN: Receptive Field Aware Graph Convolutional Network for Disease Prediction. CoRR (2019)
Hendrik Burwinkel, Anees Kazi, Gerome Vivar, Shadi Albarqouni, Guillaume Zahnd, Nassir Navab, Seyed-Ahmad Ahmadi
Adaptive Image-Feature Learning for Disease Classification Using Inductive Graph Networks. MICCAI (6) (2019)
Moustafa AboulAtta, Matthias Ossadnik, Seyed-Ahmad Ahmadi
Stabilizing Inputs to Approximated Nonlinear Functions for Inference with Homomorphic Encryption in Deep Neural Networks. CoRR (2019)
Gerome Vivar, Hendrik Burwinkel, Anees Kazi, Andreas Zwergal, Nassir Navab, Seyed-Ahmad Ahmadi
Multi-modal Graph Fusion for Inductive Disease Classification in Incomplete Datasets. CoRR (2019)
Gerome Vivar, Andreas Zwergal, Nassir Navab, Seyed-Ahmad Ahmadi
Multi-modal Disease Classification in Incomplete Datasets Using Geometric Matrix Completion. CoRR (2018)
Gerome Vivar, Andreas Zwergal, Nassir Navab, Seyed-Ahmad Ahmadi
Multi-modal Disease Classification in Incomplete Datasets Using Geometric Matrix Completion. GRAIL/Beyond-MIC@MICCAI (2018)
Atanas Mirchev, Seyed-Ahmad Ahmadi
Classification of sparsely labeled spatio-temporal data through semi-supervised adversarial learning. CoRR (2018)
Patrick Ferdinand Christ, Florian Ettlinger, Georgios Kaissis, Sebastian Schlecht, Freba Ahmaddy, Felix Grün, Alexander Valentinitsch, Seyed-Ahmad Ahmadi, Rickmer Braren, Bjoern H. Menze
SurvivalNet: Predicting patient survival from diffusion weighted magnetic resonance images using cascaded fully convolutional and 3D Convolutional Neural Networks. ISBI (2017)
Nádia Moreira da Silva, Seyed-Ahmad Ahmadi, Sérgio Miguel Neves Tafula, João Paulo da Silva Cunha, Kai Bötzel, Christian Vollmar, Verena E. Rozanski
A diffusion-based connectivity map of the GPi for optimised stereotactic targeting in DBS. NeuroImage 144 (2017)
Patrick Ferdinand Christ, Sebastian Schlecht, Florian Ettlinger, Felix Grün, Christoph Heinle, Sunil Tatavarty, Seyed-Ahmad Ahmadi, Klaus Diepold, Bjoern H. Menze
Diabetes60 - Inferring Bread Units From Food Images Using Fully Convolutional Neural Networks. ICCV Workshops (2017)
Patrick Ferdinand Christ, Florian Ettlinger, Felix Grün, Mohamed Ezzeldin A. Elshaer, Jana Lipková, Sebastian Schlecht, Freba Ahmaddy, Sunil Tatavarty, Marc Bickel, Patrick Bilic, Markus Rempfler, Felix Hofmann, Melvin D'Anastasi, Seyed-Ahmad Ahmadi, Georgios Kaissis, Julian Holch, Wieland H. Sommer, Rickmer Braren, Volker Heinemann, Bjoern H. Menze
Automatic Liver and Tumor Segmentation of CT and MRI Volumes using Cascaded Fully Convolutional Neural Networks. CoRR (2017)
Fausto Milletari, Seyed-Ahmad Ahmadi, Christine Kroll, Annika Plate, Verena E. Rozanski, Juliana Maiostre, Johannes Levin, Olaf Dietrich, Birgit Ertl-Wagner, Kai Bötzel, Nassir Navab
Hough-CNN: Deep learning for segmentation of deep brain regions in MRI and ultrasound. Comput. Vis. Image Underst. 164 (2017)
Patrick Ferdinand Christ, Florian Ettlinger, Georgios Kaissis, Sebastian Schlecht, Freba Ahmaddy, Felix Grün, Alexander Valentinitsch, Seyed-Ahmad Ahmadi, Rickmer Braren, Bjoern H. Menze
SurvivalNet: Predicting patient survival from diffusion weighted magnetic resonance images using cascaded fully convolutional and 3D convolutional neural networks. CoRR (2017)
Christine Kroll, Fausto Milletari, Nassir Navab, Seyed-Ahmad Ahmadi
Coupling Convolutional Neural Networks and Hough Voting for Robust Segmentation of Ultrasound Volumes. GCPR (2016)
Patrick Ferdinand Christ, Mohamed Ezzeldin A. Elshaer, Florian Ettlinger, Sunil Tatavarty, Marc Bickel, Patrick Bilic, Markus Rempfler, Marco Armbruster, Felix Hofmann, Melvin D'Anastasi, Wieland H. Sommer, Seyed-Ahmad Ahmadi, Bjoern H. Menze
Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional Neural Networks and 3D Conditional Random Fields. CoRR (2016)
Fausto Milletari, Nassir Navab, Seyed-Ahmad Ahmadi
V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation. 3DV (2016)
Olivier Bernard, Johan G. Bosch, Brecht Heyde, Martino Alessandrini, Daniel Barbosa, Sorina Camarasu-Pop, Frederic Cervenansky, Sébastien Valette, Oana Mirea, Michel Bernier, Pierre-Marc Jodoin, Jaime Santo Domingos, Richard V. Stebbing, Kevin Keraudren, Ozan Oktay, Jose Caballero, Wei Shi, Daniel Rueckert, Fausto Milletari, Seyed-Ahmad Ahmadi, Erik Smistad, Frank Lindseth, Maartje van Stralen, Chen Wang, Örjan Smedby, Erwan Donal, Mark Monaghan, Alex Papachristidis, Marcel L. Geleijnse, Elena Galli, Jan D'hooge
Standardized Evaluation System for Left Ventricular Segmentation Algorithms in 3D Echocardiography. IEEE Trans. Medical Imaging 35 (4) (2016)
Fausto Milletari, Nassir Navab, Seyed-Ahmad Ahmadi
V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation. CoRR (2016)
Fausto Milletari, Seyed-Ahmad Ahmadi, Christine Kroll, Annika Plate, Verena E. Rozanski, Juliana Maiostre, Johannes Levin, Olaf Dietrich, Birgit Ertl-Wagner, Kai Bötzel, Nassir Navab
Hough-CNN: Deep Learning for Segmentation of Deep Brain Regions in MRI and Ultrasound. CoRR (2016)
Patrick Ferdinand Christ, Mohamed Ezzeldin A. Elshaer, Florian Ettlinger, Sunil Tatavarty, Marc Bickel, Patrick Bilic, Markus Rempfler, Marco Armbruster, Felix Hofmann, Melvin D'Anastasi, Wieland H. Sommer, Seyed-Ahmad Ahmadi, Bjoern H. Menze
Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional Neural Networks and 3D Conditional Random Fields. MICCAI (2) (2016)
Mehrdad Salehi, Seyed-Ahmad Ahmadi, Raphael Prevost, Nassir Navab, Wolfgang Wein
Patient-specific 3D Ultrasound Simulation Based on Convolutional Ray-tracing and Appearance Optimization. MICCAI (2) (2015)
Christoph Hennersperger, Maximilian Baust, Paulo Waelkens, Athanasios Karamalis, Seyed-Ahmad Ahmadi, Nassir Navab
Multi-Scale Tubular Structure Detection in Ultrasound Imaging. IEEE Trans. Medical Imaging 34 (1) (2015)
Seyed-Ahmad Ahmadi, Fausto Milletari, Nassir Navab, Madeleine Schuberth, Annika Plate, Kai Bötzel
3D transcranial ultrasound as a novel intra-operative imaging technique for DBS surgery: a feasibility study. Int. J. Comput. Assist. Radiol. Surg. 10 (6) (2015)
Fausto Milletari, Wadim Kehl, Federico Tombari, Slobodan Ilic, Seyed-Ahmad Ahmadi, Nassir Navab
Universal Hough dictionaries for object tracking. BMVC (2015)
Fausto Milletari, Seyed-Ahmad Ahmadi, Christine Kroll, Christoph Hennersperger, Federico Tombari, Amit Shah, Annika Plate, Kai Boetzel, Nassir Navab
Robust Segmentation of Various Anatomies in 3D Ultrasound Using Hough Forests and Learned Data Representations. MICCAI (2) (2015)
Verena E. Rozanski, Christian Vollmar, João Paulo da Silva Cunha, Sérgio Miguel Neves Tafula, Seyed-Ahmad Ahmadi, Maximilian Patzig, Jan-Hinnerk Mehrkens, Kai Bötzel
Connectivity patterns of pallidal DBS electrodes in focal dystonia: A diffusion tensor tractography study. NeuroImage 84 (2014)
Pierre Chatelain, Olivier Pauly, Loïc Peter, Seyed-Ahmad Ahmadi, Annika Plate, Kai Bötzel, Nassir Navab
Learning from Multiple Experts with Random Forests: Application to the Segmentation of the Midbrain in 3D Ultrasound. MICCAI (2) (2013)
Julian Beitzel, Seyed-Ahmad Ahmadi, Athanasios Karamalis, Wolfgang Wein, Nassir Navab
Ultrasound bone detection using patient-specific CT prior. EMBC (2012)
Nicolas Padoy, Tobias Blum, Seyed-Ahmad Ahmadi, Hubertus Feußner, Marie-Odile Berger, Nassir Navab
Statistical modeling and recognition of surgical workflow. Medical Image Anal. 16 (3) (2012)
Olivier Pauly, Seyed-Ahmad Ahmadi, Annika Plate, Kai Boetzel, Nassir Navab
Detection of Substantia Nigra Echogenicities in 3D Transcranial Ultrasound for Early Diagnosis of Parkinson Disease. MICCAI (3) (2012)
Paulo Waelkens, Seyed-Ahmad Ahmadi, Nassir Navab
Frangi Goes US : Multiscale Tubular Structure Detection Adapted to 3D Ultrasound. MICCAI (1) (2012)
Seyed-Ahmad Ahmadi, Tassilo Klein, Annika Plate, Kai Boetzel, Nassir Navab
Rigid US-MRI Registration Through Segmentation of Equivalent Anatomic Structures - A Feasibility Study using 3D Transcranial Ultrasound of the Midbrain. Bildverarbeitung für die Medizin (2012)
Seyed-Ahmad Ahmadi, Maximilian Baust, Athanasios Karamalis, Annika Plate, Kai Boetzel, Tassilo Klein, Nassir Navab
Midbrain Segmentation in Transcranial 3D Ultrasound for Parkinson Diagnosis. MICCAI (3) (2011)
Asli Okur, Seyed-Ahmad Ahmadi, Ali Bigdelou, Thomas Wendler, Nassir Navab
MR in OR: First analysis of AR/VR visualization in 100 intra-operative Freehand SPECT acquisitions. ISMAR (2011)
Seyed-Ahmad Ahmadi, Tassilo Klein, Nassir Navab, Ran Roth, Reuben R. Shamir, Leo Joskowicz, Elena De Momi, Giancarlo Ferrigno, Luca Antiga, Roberto Israel Foroni
Advanced planning and intra-operative validation for robot-assisted keyhole neurosurgery In ROBOCAST. ICAR (2009)
Seyed-Ahmad Ahmadi, Tobias Sielhorst, Ralf Stauder, Martin Horn, Hubertus Feußner, Nassir Navab
Recovery of Surgical Workflow Without Explicit Models. MICCAI (1) (2006)

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Publication Activity (10 Years)

Top Topics

Top Venues

Seyed-Ahmad Ahmadi