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ORCIDSeyed-Ahmad Ahmadi
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2020 – today
- 2025
[e3]Seyed-Ahmad Ahmadi
, Anees Kazi:
Graphs in Biomedical Image Analysis - 6th International Workshop, GRAIL 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Proceedings. Lecture Notes in Computer Science 15182, Springer 2025, ISBN 978-3-031-83242-0 [contents]- 2024
- [e2]Seyed-Ahmad Ahmadi, Sérgio Pereira:
Graphs in Biomedical Image Analysis, and Overlapped Cell on Tissue Dataset for Histopathology - 5th MICCAI Workshop, GRAIL 2023 and 1st MICCAI Challenge, OCELOT 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, September 23, and October 4, 2023, Proceedings. Lecture Notes in Computer Science 14373, Springer 2024, ISBN 978-3-031-55087-4 [contents] - 2023
- [j15]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: 102839 (2023) - [j14]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): 1606-1617 (2023) - [j13]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: 101432 (2023) - [c27]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: 2296-2307 - [i20]Yousef Yeganeh, Azade Farshad, Peter Weinberger, Seyed-Ahmad Ahmadi, Ehsan Adeli, Nassir Navab:
DIAMANT: Dual Image-Attention Map Encoders For Medical Image Segmentation. CoRR abs/2304.14571 (2023) - 2022
- [j12]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: 102314 (2022) - [j11]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: 119170 (2022) - [c26]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: 70-92 - [e1]Luigi Manfredi, Seyed-Ahmad Ahmadi, Michael M. Bronstein, Anees Kazi, Davide Lomanto, Alwyn Mathew, Ludovic Magerand, Kamilia Mullakaeva, Bartlomiej W. Papiez, Russell H. Taylor, Emanuele Trucco:
Imaging Systems for GI Endoscopy, and Graphs in Biomedical Image Analysis - First MICCAI Workshop, ISGIE 2022, and Fourth MICCAI Workshop, GRAIL 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings. Lecture Notes in Computer Science 13754, Springer 2022, ISBN 978-3-031-21082-2 [contents] - [i19]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 abs/2204.00323 (2022) - [i18]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 abs/2209.14783 (2022) - [i17]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 abs/2211.14051 (2022) - 2021
- [j10]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: 102097 (2021) - [j9]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: 118007 (2021) - 2020
- [c25]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: 540-550 - [c24]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: 572-581 - [c23]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: 633-642 - [c22]Luca Cosmo, Anees Kazi, Seyed-Ahmad Ahmadi, Nassir Navab, Michael M. Bronstein:
Latent-Graph Learning for Disease Prediction. MICCAI (2) 2020: 643-653 - [i16]Luca Cosmo, Anees Kazi, Seyed-Ahmad Ahmadi, Nassir Navab, Michael M. Bronstein:
Latent Patient Network Learning for Automatic Diagnosis. CoRR abs/2003.13620 (2020) - [i15]Gerome Vivar, Kamilia Mullakaeva, Andreas Zwergal, Nassir Navab, Seyed-Ahmad Ahmadi:
Peri-Diagnostic Decision Support Through Cost-Efficient Feature Acquisition at Test-Time. CoRR abs/2003.14127 (2020) - [i14]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 abs/2005.00840 (2020) - [i13]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 abs/2005.04454 (2020) - [i12]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 abs/2005.06935 (2020)
2010 – 2019
- 2019
- [j8]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): 969-977 (2019) - [c21]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: 73-85 - [c20]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: 122-130 - [c19]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: 640-648 - [i11]Moustafa AboulAtta, Matthias Ossadnik, Seyed-Ahmad Ahmadi:
Stabilizing Inputs to Approximated Nonlinear Functions for Inference with Homomorphic Encryption in Deep Neural Networks. CoRR abs/1902.01870 (2019) - [i10]Anees Kazi, Shayan Shekarforoush, S. Arvind Krishna, Hendrik Burwinkel, Gerome Vivar, Karsten U. Kortuem, Seyed-Ahmad Ahmadi, Shadi Albarqouni, Nassir Navab:
InceptionGCN: Receptive Field Aware Graph Convolutional Network for Disease Prediction. CoRR abs/1903.04233 (2019) - [i9]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 abs/1905.03036 (2019) - [i8]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 abs/1905.03053 (2019) - 2018
- [c18]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: 24-31 - [i7]Atanas Mirchev, Seyed-Ahmad Ahmadi:
Classification of sparsely labeled spatio-temporal data through semi-supervised adversarial learning. CoRR abs/1801.08712 (2018) - [i6]Gerome Vivar, Andreas Zwergal, Nassir Navab, Seyed-Ahmad Ahmadi:
Multi-modal Disease Classification in Incomplete Datasets Using Geometric Matrix Completion. CoRR abs/1803.11550 (2018) - 2017
- [j7]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: 92-102 (2017) - [j6]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: 83-91 (2017) - [c17]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: 1526-1535 - [c16]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: 839-843 - [i5]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 abs/1702.05941 (2017) - [i4]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 abs/1702.05970 (2017) - 2016
- [j5]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): 967-977 (2016) - [c15]Fausto Milletari, Nassir Navab, Seyed-Ahmad Ahmadi:
V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation. 3DV 2016: 565-571 - [c14]Christine Kroll, Fausto Milletari, Nassir Navab, Seyed-Ahmad Ahmadi:
Coupling Convolutional Neural Networks and Hough Voting for Robust Segmentation of Ultrasound Volumes. GCPR 2016: 439-450 - [c13]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: 415-423 - [i3]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 abs/1601.07014 (2016) - [i2]Fausto Milletari, Nassir Navab, Seyed-Ahmad Ahmadi:
V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation. CoRR abs/1606.04797 (2016) - [i1]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 abs/1610.02177 (2016) - 2015
- [j4]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): 891-900 (2015) - [j3]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): 13-26 (2015) - [c12]Fausto Milletari, Wadim Kehl, Federico Tombari, Slobodan Ilic, Seyed-Ahmad Ahmadi, Nassir Navab:
Universal Hough dictionaries for object tracking. BMVC 2015: 122.1-122.11 - [c11]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: 111-118 - [c10]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: 510-518 - 2014
- [j2]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: 435-442 (2014) - 2013
- [b1]Seyed-Ahmad Ahmadi:
Image Analysis Methods in Multi-View Transcranial 3D Ultrasound for Diagnosis of Neurological Movement-Disorders. Technical University Munich, 2013, pp. 1-166 - [c9]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: 230-237 - 2012
- [j1]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): 632-641 (2012) - [c8]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: 410-415 - [c7]Julian Beitzel, Seyed-Ahmad Ahmadi, Athanasios Karamalis, Wolfgang Wein, Nassir Navab:
Ultrasound bone detection using patient-specific CT prior. EMBC 2012: 2664-2667 - [c6]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: 443-450 - [c5]Paulo Waelkens, Seyed-Ahmad Ahmadi, Nassir Navab:
Frangi Goes US : Multiscale Tubular Structure Detection Adapted to 3D Ultrasound. MICCAI (1) 2012: 625-633 - 2011
- [c4]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: 211-218 - [c3]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: 362-369
2000 – 2009
- 2009
- [c2]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: 1-7 - 2006
- [c1]Seyed-Ahmad Ahmadi, Tobias Sielhorst, Ralf Stauder, Martin Horn, Hubertus Feußner, Nassir Navab:
Recovery of Surgical Workflow Without Explicit Models. MICCAI (1) 2006: 420-428
Coauthor Index
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