Seyed-Ahmad Ahmadi

68 papers A* 1A 1Journal 36Unranked 25

Year	Rank	Type	Title / Venue / Authors
2026	—	`ed.`	Reconstruction and Imaging Motion Estimation, and Graphs in Biomedical Image Analysis - First International Workshop, RIME 2025, and 7th International Workshop, GRAIL 2025, Daejeon, South Korea, September 27, 2025, Proceedings GRAIL/RIME@MICCAI Lina Felsner, Thomas Küstner, Andreas Maier, Chen Qin, Seyed-Ahmad Ahmadi, Anees Kazi, Xiaoling Hu
2025	—	`ed.`	Graphs in Biomedical Image Analysis - 6th International Workshop, GRAIL 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Proceedings GRAIL@MICCAI Seyed-Ahmad Ahmadi, Anees Kazi
2025	J	`jnl`	Learn2Reg 2024: New Benchmark Datasets Driving Progress on New Challenges. CoRR Lasse Hansen, Wiebke Heyer, Christoph Großbröhmer, Frederic Madesta, Thilo Sentker, Jiazheng Wang, Yuxi Zhang, Hang Zhang, Min Liu, Junyi Wang, Xi Zhu, Yuhua Li, Liwen Wang, Daniil Morozov, Nazim Haouchine, Joel Honkamaa, Pekka Marttinen, Yichao Zhou, Zuopeng Tan, Zhuoyuan Wang, Yi Wang, Hongchao Zhou, Shunbo Hu, Yi Zhang, Qian Tao, Lukas Förner, Thomas Wendler, Bailiang Jian, Christian Wachinger, Jin Kim, Dan Ruan, Marek Wodzinski, Henning Müller, Tony C. W. Mok, Xi Jia, Jinming Duan, Mikael Brudfors, Seyed-Ahmad Ahmadi, Yunzheng Zhu, William Hsu, Tina Kapur, William M. Wells, Alexandra J. Golby, Aaron Carass, Harrison X. Bai, Yihao Liu, Perrine Paul-Gilloteaux, Joakim Lindblad, Natasa Sladoje, Andreas Walter, Junyu Chen, Reuben Dorent, Alessa Hering, Mattias P. Heinrich
2024	—	`ed.`	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 GRAIL/OCELOT@MICCAI Seyed-Ahmad Ahmadi, Sérgio Pereira
2023	J	`jnl`	DIAMANT: Dual Image-Attention Map Encoders For Medical Image Segmentation. CoRR Yousef Yeganeh, Azade Farshad, Peter Weinberger, Seyed-Ahmad Ahmadi, Ehsan Adeli, Nassir Navab
2023	J	`jnl`	Differentiable Graph Module (DGM) for Graph Convolutional Networks. IEEE Trans. Pattern Anal. Mach. Intell. Anees Kazi, Luca Cosmo, Seyed-Ahmad Ahmadi, Nassir Navab, Michael M. Bronstein
2023	J	`jnl`	Graph-in-Graph (GiG): Learning interpretable latent graphs in non-Euclidean domain for biological and healthcare applications. Medical Image Anal. Kamilia Zaripova, Luca Cosmo, Anees Kazi, Seyed-Ahmad Ahmadi, Michael M. Bronstein, Nassir Navab
2023	J	`jnl`	Open-source skull reconstruction with MONAI. SoftwareX Jianning Li, André Ferreira, Behrus Puladi, Victor Alves, Michael Kamp, Moon S. Kim, Felix Nensa, Jens Kleesiek, Seyed-Ahmad Ahmadi, Jan Egger
2023	—	`conf`	Transformers Pay Attention to Convolutions Leveraging Emerging Properties of ViTs by Dual Attention-Image Network. ICCV (Workshops) Yousef Yeganeh, Azade Farshad, Peter Weinberger, Seyed-Ahmad Ahmadi, Ehsan Adeli, Nassir Navab
2022	J	`jnl`	Graph-in-Graph (GiG): Learning interpretable latent graphs in non-Euclidean domain for biological and healthcare applications. CoRR Kamilia Mullakaeva, Luca Cosmo, Anees Kazi, Seyed-Ahmad Ahmadi, Nassir Navab, Michael M. Bronstein
2022	—	`ed.`	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 ISGIE/GRAIL@MICCAI 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
2022	J	`jnl`	Open-Source Skull Reconstruction with MONAI. CoRR Jianning Li, André Ferreira, Behrus Puladi, Victor Alves, Michael Kamp, Moon-Sung Kim, Felix Nensa, Jens Kleesiek, Seyed-Ahmad Ahmadi, Jan Egger
2022	J	`jnl`	Persistent horizontal and vertical, MR-induced nystagmus in resting state Human Connectome Project data. NeuroImage 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
2022	J	`jnl`	Physics-aware learning and domain-specific loss design in ophthalmology. Medical Image Anal. Hendrik Burwinkel, Holger Matz, Stefan Saur, Christoph Hauger, Michael Trost, Nino Hirnschall, Oliver Findl, Nassir Navab, Seyed-Ahmad Ahmadi
2022	—	`conf`	Training β-VAE by Aggregating a Learned Gaussian Posterior with a Decoupled Decoder. MAD@MICCAI Jianning Li, Jana Fragemann, Seyed-Ahmad Ahmadi, Jens Kleesiek, Jan Egger
2022	J	`jnl`	Training β-VAE by Aggregating a Learned Gaussian Posterior with a Decoupled Decoder. CoRR Jianning Li, Jana Fragemann, Seyed-Ahmad Ahmadi, Jens Kleesiek, Jan Egger
2021	J	`jnl`	Metabolic connectivity-based single subject classification by multi-regional linear approximation in the rat. NeuroImage Maximilian Grosch, Leonie Beyer, Magdalena Lindner, Lena Kaiser, Seyed-Ahmad Ahmadi, Anna Stockbauer, Peter Bartenstein, Marianne Dieterich, Matthias Brendel, Andreas Zwergal, Sibylle Ziegler
2021	J	`jnl`	Simultaneous imputation and classification using Multigraph Geometric Matrix Completion (MGMC): Application to neurodegenerative disease classification. Artif. Intell. Medicine Gerome Vivar, Anees Kazi, Hendrik Burwinkel, Andreas Zwergal, Nassir Navab, Seyed-Ahmad Ahmadi
2020	—	`conf`	Decision Support for Intoxication Prediction Using Graph Convolutional Networks. MICCAI (2) Hendrik Burwinkel, Matthias Keicher, David Bani-Harouni, Tobias Zellner, Florian Eyer, Nassir Navab, Seyed-Ahmad Ahmadi
2020	J	`jnl`	Decision Support for Intoxication Prediction Using Graph Convolutional Networks. CoRR Hendrik Burwinkel, Matthias Keicher, David Bani-Harouni, Tobias Zellner, Florian Eyer, Nassir Navab, Seyed-Ahmad Ahmadi
2020	—	`conf`	Domain-Specific Loss Design for Unsupervised Physical Training: A New Approach to Modeling Medical ML Solutions. MICCAI (2) Hendrik Burwinkel, Holger Matz, Stefan Saur, Christoph Hauger, Ayse Mine Evren, Nino Hirnschall, Oliver Findl, Nassir Navab, Seyed-Ahmad Ahmadi
2020	J	`jnl`	Domain-specific loss design for unsupervised physical training: A new approach to modeling medical ML solutions. CoRR Hendrik Burwinkel, Holger Matz, Stefan Saur, Christoph Hauger, Ayse Mine Evren, Nino Hirnschall, Oliver Findl, Nassir Navab, Seyed-Ahmad Ahmadi
2020	J	`jnl`	Latent Patient Network Learning for Automatic Diagnosis. CoRR Luca Cosmo, Anees Kazi, Seyed-Ahmad Ahmadi, Nassir Navab, Michael M. Bronstein
2020	—	`conf`	Latent-Graph Learning for Disease Prediction. MICCAI (2) Luca Cosmo, Anees Kazi, Seyed-Ahmad Ahmadi, Nassir Navab, Michael M. Bronstein
2020	—	`conf`	Peri-Diagnostic Decision Support Through Cost-Efficient Feature Acquisition at Test-Time. MICCAI (2) Gerome Vivar, Kamilia Mullakaeva, Andreas Zwergal, Nassir Navab, Seyed-Ahmad Ahmadi
2020	J	`jnl`	Peri-Diagnostic Decision Support Through Cost-Efficient Feature Acquisition at Test-Time. CoRR Gerome Vivar, Kamilia Mullakaeva, Andreas Zwergal, Nassir Navab, Seyed-Ahmad Ahmadi
2020	J	`jnl`	Simultaneous imputation and disease classification in incomplete medical datasets using Multigraph Geometric Matrix Completion (MGMC). CoRR Gerome Vivar, Anees Kazi, Hendrik Burwinkel, Andreas Zwergal, Nassir Navab, Seyed-Ahmad Ahmadi
2019	—	`conf`	Adaptive Image-Feature Learning for Disease Classification Using Inductive Graph Networks. MICCAI (6) Hendrik Burwinkel, Anees Kazi, Gerome Vivar, Shadi Albarqouni, Guillaume Zahnd, Nassir Navab, Seyed-Ahmad Ahmadi
2019	J	`jnl`	Adaptive image-feature learning for disease classification using inductive graph networks. CoRR Hendrik Burwinkel, Anees Kazi, Gerome Vivar, Shadi Albarqouni, Guillaume Zahnd, Nassir Navab, Seyed-Ahmad Ahmadi
2019	J	`jnl`	Cloud Deployment of High-Resolution Medical Image Analysis With TOMAAT. IEEE J. Biomed. Health Informatics Fausto Milletari, Johann Frei, Moustafa AboulAtta, Gerome Vivar, Seyed-Ahmad Ahmadi
2019	—	`conf`	Graph Convolution Based Attention Model for Personalized Disease Prediction. MICCAI (4) Anees Kazi, Shayan Shekarforoush, S. Arvind Krishna, Hendrik Burwinkel, Gerome Vivar, Benedikt Wiestler, Karsten Kortüm, Seyed-Ahmad Ahmadi, Shadi Albarqouni, Nassir Navab
2019	—	`conf`	InceptionGCN: Receptive Field Aware Graph Convolutional Network for Disease Prediction. IPMI Anees Kazi, Shayan Shekarforoush, S. Arvind Krishna, Hendrik Burwinkel, Gerome Vivar, Karsten Kortüm, Seyed-Ahmad Ahmadi, Shadi Albarqouni, Nassir Navab
2019	J	`jnl`	InceptionGCN: Receptive Field Aware Graph Convolutional Network for Disease Prediction. CoRR Anees Kazi, Shayan Shekarforoush, S. Arvind Krishna, Hendrik Burwinkel, Gerome Vivar, Karsten U. Kortuem, Seyed-Ahmad Ahmadi, Shadi Albarqouni, Nassir Navab
2019	J	`jnl`	Multi-modal Graph Fusion for Inductive Disease Classification in Incomplete Datasets. CoRR Gerome Vivar, Hendrik Burwinkel, Anees Kazi, Andreas Zwergal, Nassir Navab, Seyed-Ahmad Ahmadi
2019	J	`jnl`	Stabilizing Inputs to Approximated Nonlinear Functions for Inference with Homomorphic Encryption in Deep Neural Networks. CoRR Moustafa AboulAtta, Matthias Ossadnik, Seyed-Ahmad Ahmadi
2018	J	`jnl`	Classification of sparsely labeled spatio-temporal data through semi-supervised adversarial learning. CoRR Atanas Mirchev, Seyed-Ahmad Ahmadi
2018	—	`conf`	Multi-modal Disease Classification in Incomplete Datasets Using Geometric Matrix Completion. GRAIL/Beyond-MIC@MICCAI Gerome Vivar, Andreas Zwergal, Nassir Navab, Seyed-Ahmad Ahmadi
2018	J	`jnl`	Multi-modal Disease Classification in Incomplete Datasets Using Geometric Matrix Completion. CoRR Gerome Vivar, Andreas Zwergal, Nassir Navab, Seyed-Ahmad Ahmadi
2017	J	`jnl`	A diffusion-based connectivity map of the GPi for optimised stereotactic targeting in DBS. NeuroImage Nádia Moreira da Silva, Seyed-Ahmad Ahmadi, Sérgio Miguel Neves Tafula, João Paulo da Silva Cunha, Kai Bötzel, Christian Vollmar, Verena E. Rozanski
2017	J	`jnl`	Automatic Liver and Tumor Segmentation of CT and MRI Volumes using Cascaded Fully Convolutional Neural Networks. CoRR 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
2017	—	`conf`	Diabetes60 - Inferring Bread Units From Food Images Using Fully Convolutional Neural Networks. ICCV Workshops Patrick Ferdinand Christ, Sebastian Schlecht, Florian Ettlinger, Felix Grün, Christoph Heinle, Sunil Tatavarty, Seyed-Ahmad Ahmadi, Klaus Diepold, Bjoern H. Menze
2017	J	`jnl`	Hough-CNN: Deep learning for segmentation of deep brain regions in MRI and ultrasound. Comput. Vis. Image Underst. 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
2017	—	`conf`	SurvivalNet: Predicting patient survival from diffusion weighted magnetic resonance images using cascaded fully convolutional and 3D Convolutional Neural Networks. ISBI Patrick Ferdinand Christ, Florian Ettlinger, Georgios Kaissis, Sebastian Schlecht, Freba Ahmaddy, Felix Grün, Alexander Valentinitsch, Seyed-Ahmad Ahmadi, Rickmer Braren, Bjoern H. Menze
2017	J	`jnl`	SurvivalNet: Predicting patient survival from diffusion weighted magnetic resonance images using cascaded fully convolutional and 3D convolutional neural networks. CoRR Patrick Ferdinand Christ, Florian Ettlinger, Georgios Kaissis, Sebastian Schlecht, Freba Ahmaddy, Felix Grün, Alexander Valentinitsch, Seyed-Ahmad Ahmadi, Rickmer Braren, Bjoern H. Menze
2016	—	`conf`	Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional Neural Networks and 3D Conditional Random Fields. MICCAI (2) 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
2016	J	`jnl`	Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional Neural Networks and 3D Conditional Random Fields. CoRR 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
2016	—	`conf`	Coupling Convolutional Neural Networks and Hough Voting for Robust Segmentation of Ultrasound Volumes. GCPR Christine Kroll, Fausto Milletari, Nassir Navab, Seyed-Ahmad Ahmadi
2016	J	`jnl`	Hough-CNN: Deep Learning for Segmentation of Deep Brain Regions in MRI and Ultrasound. CoRR 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
2016	J	`jnl`	Standardized Evaluation System for Left Ventricular Segmentation Algorithms in 3D Echocardiography. IEEE Trans. Medical Imaging 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
2016	—	`conf`	V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation. 3DV Fausto Milletari, Nassir Navab, Seyed-Ahmad Ahmadi
2016	J	`jnl`	V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation. CoRR Fausto Milletari, Nassir Navab, Seyed-Ahmad Ahmadi
2015	J	`jnl`	3D transcranial ultrasound as a novel intra-operative imaging technique for DBS surgery: a feasibility study. Int. J. Comput. Assist. Radiol. Surg. Seyed-Ahmad Ahmadi, Fausto Milletari, Nassir Navab, Madeleine Schuberth, Annika Plate, Kai Bötzel
2015	J	`jnl`	Multi-Scale Tubular Structure Detection in Ultrasound Imaging. IEEE Trans. Medical Imaging Christoph Hennersperger, Maximilian Baust, Paulo Waelkens, Athanasios Karamalis, Seyed-Ahmad Ahmadi, Nassir Navab
2015	—	`conf`	Patient-specific 3D Ultrasound Simulation Based on Convolutional Ray-tracing and Appearance Optimization. MICCAI (2) Mehrdad Salehi, Seyed-Ahmad Ahmadi, Raphael Prevost, Nassir Navab, Wolfgang Wein
2015	—	`conf`	Robust Segmentation of Various Anatomies in 3D Ultrasound Using Hough Forests and Learned Data Representations. MICCAI (2) Fausto Milletari, Seyed-Ahmad Ahmadi, Christine Kroll, Christoph Hennersperger, Federico Tombari, Amit Shah, Annika Plate, Kai Boetzel, Nassir Navab
2015	A	`conf`	Universal Hough dictionaries for object tracking. BMVC Fausto Milletari, Wadim Kehl, Federico Tombari, Slobodan Ilic, Seyed-Ahmad Ahmadi, Nassir Navab
2014	J	`jnl`	Connectivity patterns of pallidal DBS electrodes in focal dystonia: A diffusion tensor tractography study. NeuroImage Verena E. Rozanski, Christian Vollmar, João Paulo da Silva Cunha, Sérgio Miguel Neves Tafula, Seyed-Ahmad Ahmadi, Maximilian Patzig, Jan-Hinnerk Mehrkens, Kai Bötzel
2013	—	`—`	Image Analysis Methods in Multi-View Transcranial 3D Ultrasound for Diagnosis of Neurological Movement-Disorders. Seyed-Ahmad Ahmadi
2013	—	`conf`	Learning from Multiple Experts with Random Forests: Application to the Segmentation of the Midbrain in 3D Ultrasound. MICCAI (2) Pierre Chatelain, Olivier Pauly, Loïc Peter, Seyed-Ahmad Ahmadi, Annika Plate, Kai Bötzel, Nassir Navab
2012	—	`conf`	Detection of Substantia Nigra Echogenicities in 3D Transcranial Ultrasound for Early Diagnosis of Parkinson Disease. MICCAI (3) Olivier Pauly, Seyed-Ahmad Ahmadi, Annika Plate, Kai Boetzel, Nassir Navab
2012	—	`conf`	Frangi Goes US : Multiscale Tubular Structure Detection Adapted to 3D Ultrasound. MICCAI (1) Paulo Waelkens, Seyed-Ahmad Ahmadi, Nassir Navab
2012	—	`conf`	Rigid US-MRI Registration Through Segmentation of Equivalent Anatomic Structures - A Feasibility Study using 3D Transcranial Ultrasound of the Midbrain. Bildverarbeitung für die Medizin Seyed-Ahmad Ahmadi, Tassilo Klein, Annika Plate, Kai Boetzel, Nassir Navab
2012	J	`jnl`	Statistical modeling and recognition of surgical workflow. Medical Image Anal. Nicolas Padoy, Tobias Blum, Seyed-Ahmad Ahmadi, Hubertus Feußner, Marie-Odile Berger, Nassir Navab
2012	—	`conf`	Ultrasound bone detection using patient-specific CT prior. EMBC Julian Beitzel, Seyed-Ahmad Ahmadi, Athanasios Karamalis, Wolfgang Wein, Nassir Navab
2011	A*	`conf`	MR in OR: First analysis of AR/VR visualization in 100 intra-operative Freehand SPECT acquisitions. ISMAR Asli Okur, Seyed-Ahmad Ahmadi, Ali Bigdelou, Thomas Wendler, Nassir Navab
2011	—	`conf`	Midbrain Segmentation in Transcranial 3D Ultrasound for Parkinson Diagnosis. MICCAI (3) Seyed-Ahmad Ahmadi, Maximilian Baust, Athanasios Karamalis, Annika Plate, Kai Boetzel, Tassilo Klein, Nassir Navab
2009	—	`conf`	Advanced planning and intra-operative validation for robot-assisted keyhole neurosurgery In ROBOCAST. ICAR Seyed-Ahmad Ahmadi, Tassilo Klein, Nassir Navab, Ran Roth, Reuben R. Shamir, Leo Joskowicz, Elena De Momi, Giancarlo Ferrigno, Luca Antiga, Roberto Israel Foroni
2006	—	`conf`	Recovery of Surgical Workflow Without Explicit Models. MICCAI (1) Seyed-Ahmad Ahmadi, Tobias Sielhorst, Ralf Stauder, Martin Horn, Hubertus Feußner, Nassir Navab