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2020 – today
- 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 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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