Seyed-Ahmad Ahmadi

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Nassir NavabProfessor of Computer Science, Technische Universität MünchenVerificeret mail på cs.tum.edu
Fausto MilletarìPaige.aiVerificeret mail på paige.ai
Anees KaziResearch Scientist, MGH, Harvard Medical SchoolVerificeret mail på mgh.harvard.edu
Bjoern MenzeUniversität ZürichVerificeret mail på uzh.ch
Florian EttlingerTechnical University MunichVerificeret mail på ph.tum.de
Patrick F. ChristTechnical University of MunichVerificeret mail på tum.de
Johannes LevinProfessor for Clinical Neurodegeneration, Ludwig-Maximilians-Universität München; CMO MODAG GmbHVerificeret mail på med.uni-muenchen.de
Olaf DietrichLMU University of MunichVerificeret mail på med.lmu.de
Nicolas PadoyProfessor of Computer Science, University of StrasbourgVerificeret mail på unistra.fr
Tassilo KleinPrincipal Scientist @ SAP AI ResearchVerificeret mail på sap.com
Christian VollmarUniversity of Munich, Dept. of Neurology, Epilepsy Center,Verificeret mail på med.uni-muenchen.de
João Paulo CunhaINESC TEC and Faculty of Engineering of University of PortoVerificeret mail på fe.up.pt
Peter zu EulenburgProfessor for structural and functional neuroimaging, Ludwig-Maximilians-University Munich, MunichVerificeret mail på med.uni-muenchen.de
Wolfgang WeinCEO, ImFusion GmbH; Adjunct Professor, TU MunichVerificeret mail på cs.tum.edu
Shadi AlbarqouniProfessor of Computational Medical Imaging Research @Uni. Bonn | AI Group Leader @HelmholtzAIVerificeret mail på uni-bonn.de
Shayan ShekarforoushPhD Student, University of Toronto, Vector InstituteVerificeret mail på cs.toronto.edu
Jana LipkovaHarvard Medical School, Brigham and Women's HospitalVerificeret mail på bwh.harvard.edu
Nádia Moreira da SilvaSenior ML Engineer, Lucida Medical,LtdVerificeret mail på lucidamedical.com
Olivier PaulyIntrinsic Innovation GmbHVerificeret mail på google.com
Athanasios KaramalisMESASIGHT GmbHVerificeret mail på mesasight.com

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Seyed-Ahmad Ahmadi

Senior Solution Architect, Deep Learning in Healthcare @ NVIDIA

Verificeret mail på cs.tum.edu

Data science and machine learning Medical image analysis Multi-modal decision support systems


Titel Sortér efter henvisninger Sortér efter årstal Sortér efter titel	Citeret af Citeret af	År
V-net: Fully convolutional neural networks for volumetric medical image segmentation F Milletari, N Navab, SA Ahmadi 2016 fourth international conference on 3D vision (3DV), 565-571, 2016	11814	2016
Automatic liver and lesion segmentation in CT using cascaded fully convolutional neural networks and 3D conditional random fields PF Christ, MEA Elshaer, F Ettlinger, S Tatavarty, M Bickel, P Bilic, ... International Conference on Medical Image Computing and Computer-Assisted …, 2016	854	2016
Hough-CNN: Deep learning for segmentation of deep brain regions in MRI and ultrasound F Milletari, SA Ahmadi, C Kroll, A Plate, V Rozanski, J Maiostre, J Levin, ... Computer Vision and Image Understanding 164, 92-102, 2017	478	2017
Automatic liver and tumor segmentation of CT and MRI volumes using cascaded fully convolutional neural networks PF Christ, F Ettlinger, F Grün, MEA Elshaera, J Lipkova, S Schlecht, ... arXiv preprint arXiv:1702.05970, 2017	453	2017
Statistical modeling and recognition of surgical workflow N Padoy, T Blum, SA Ahmadi, H Feussner, MO Berger, N Navab Medical image analysis 16 (3), 632-641, 2012	330	2012
DeepVOG: Open-source pupil segmentation and gaze estimation in neuroscience using deep learning YH Yiu, M Aboulatta, T Raiser, L Ophey, VL Flanagin, P Zu Eulenburg, ... Journal of neuroscience methods 324, 108307, 2019	184	2019
InceptionGCN: receptive field aware graph convolutional network for disease prediction A Kazi, S Shekarforoush, S Arvind Krishna, H Burwinkel, G Vivar, ... Information Processing in Medical Imaging: 26th International Conference …, 2019	183	2019
Differentiable graph module (dgm) for graph convolutional networks A Kazi, L Cosmo, SA Ahmadi, N Navab, MM Bronstein IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (2), 1606-1617, 2022	178	2022
Recovery of surgical workflow without explicit models SA Ahmadi, T Sielhorst, R Stauder, M Horn, H Feussner, N Navab Medical Image Computing and Computer-Assisted Intervention–MICCAI 2006: 9th …, 2006	121	2006
Standardized evaluation system for left ventricular segmentation algorithms in 3D echocardiography O Bernard, JG Bosch, B Heyde, M Alessandrini, D Barbosa, ... IEEE transactions on medical imaging 35 (4), 967-977, 2015	114	2015
Latent-graph learning for disease prediction L Cosmo, A Kazi, SA Ahmadi, N Navab, M Bronstein Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020	86	2020
Connectivity patterns of pallidal DBS electrodes in focal dystonia: a diffusion tensor tractography study VE Rozanski, C Vollmar, JP Cunha, SMN Tafula, SA Ahmadi, M Patzig, ... Neuroimage 84, 435-442, 2014	59	2014
MR imaging differentiation of Fe²⁺ and Fe³⁺ based on relaxation and magnetic susceptibility properties O Dietrich, J Levin, SA Ahmadi, A Plate, MF Reiser, K Bötzel, A Giese, ... Neuroradiology 59, 403-409, 2017	54	2017
Graph convolution based attention model for personalized disease prediction A Kazi, S Shekarforoush, S Arvind Krishna, H Burwinkel, G Vivar, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019	49	2019
SurvivalNet: Predicting patient survival from diffusion weighted magnetic resonance images using cascaded fully convolutional and 3D convolutional neural networks PF Christ, F Ettlinger, G Kaissis, S Schlecht, F Ahmaddy, F Grün, ... 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017 …, 2017	48	2017
Patient-specific 3D ultrasound simulation based on convolutional ray-tracing and appearance optimization M Salehi, SA Ahmadi, R Prevost, N Navab, W Wein Medical Image Computing and Computer-Assisted Intervention--MICCAI 2015 …, 2015	42	2015
Modern machine-learning can support diagnostic differentiation of central and peripheral acute vestibular disorders SA Ahmadi, G Vivar, N Navab, K Möhwald, A Maier, H Hadzhikolev, ... Journal of neurology 267, 143-152, 2020	40	2020
Dosimetric impact of deep learning-based CT auto-segmentation on radiation therapy treatment planning for prostate cancer M Kawula, D Purice, M Li, G Vivar, SA Ahmadi, K Parodi, C Belka, ... Radiation Oncology 17 (1), 21, 2022	39	2022
A diffusion-based connectivity map of the GPi for optimised stereotactic targeting in DBS NM da Silva, SA Ahmadi, SN Tafula, JPS Cunha, K Bötzel, C Vollmar, ... Neuroimage 144, 83-91, 2017	39	2017
Cerebellar dizziness and vertigo: etiologies, diagnostic assessment, and treatment A Zwergal, K Feil, R Schniepp, M Strupp Seminars in Neurology 40 (01), 087-096, 2020	37	2020

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