Seyed-Ahmad Ahmadi

Dikutip oleh

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Kutipan	15209	13668
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29 artikel

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Nassir NavabProfessor of Computer Science, Technische Universität MünchenEmail yang diverifikasi di cs.tum.edu
Fausto MilletarìPaige.aiEmail yang diverifikasi di paige.ai
Anees KaziResearch Scientist, MGH, Harvard Medical SchoolEmail yang diverifikasi di mgh.harvard.edu
Bjoern H MenzeUniversität ZürichEmail yang diverifikasi di uzh.ch
Florian EttlingerTechnical University MunichEmail yang diverifikasi di ph.tum.de
Patrick F. ChristTechnical University of MunichEmail yang diverifikasi di tum.de
Johannes LevinProfessor for Clinical Neurodegeneration, Ludwig-Maximilians-Universität München; CMO MODAG GmbHEmail yang diverifikasi di med.uni-muenchen.de
Olaf DietrichLMU University of MunichEmail yang diverifikasi di med.lmu.de
Nicolas PadoyProfessor of Computer Science, University of StrasbourgEmail yang diverifikasi di unistra.fr
Tassilo KleinPrincipal Scientist @ SAP AI ResearchEmail yang diverifikasi di sap.com
Christian VollmarUniversity of Munich, Dept. of Neurology, Epilepsy Center,Email yang diverifikasi di med.uni-muenchen.de
João Paulo CunhaINESC TEC and Faculty of Engineering of University of PortoEmail yang diverifikasi di fe.up.pt
Peter zu EulenburgProfessor for structural and functional neuroimaging, Ludwig-Maximilians-University Munich, MunichEmail yang diverifikasi di med.uni-muenchen.de
Wolfgang WeinCEO, ImFusion GmbH; Adjunct Professor, TU MunichEmail yang diverifikasi di cs.tum.edu
Shadi AlbarqouniProfessor of Computational Medical Imaging Research @Uni. Bonn | AI Group Leader @HelmholtzAIEmail yang diverifikasi di uni-bonn.de
Shayan ShekarforoushPhD Student, University of Toronto, Vector InstituteEmail yang diverifikasi di cs.toronto.edu
Jana LipkovaHarvard Medical School, Brigham and Women's HospitalEmail yang diverifikasi di bwh.harvard.edu
Nádia Moreira da SilvaSenior ML Engineer, Lucida Medical,LtdEmail yang diverifikasi di lucidamedical.com
Olivier PaulyIntrinsic Innovation GmbHEmail yang diverifikasi di google.com
Athanasios KaramalisMESASIGHT GmbHEmail yang diverifikasi di mesasight.com

Ikuti

Seyed-Ahmad Ahmadi

Senior Solution Architect, Deep Learning in Healthcare @ NVIDIA

Email yang diverifikasi di cs.tum.edu

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


Judul Urutkan menurut kutipan Urutkan menurut tahun Urutkan menurut judul	Dikutip oleh Dikutip oleh	Tahun
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	11209	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	837	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	470	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	439	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	321	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	181	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	176	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	166	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	120	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	113	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	83	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	58	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	53	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	48	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	46	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	37	2020
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	37	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	35	2020
Detection of substantia nigra echogenicities in 3D transcranial ultrasound for early diagnosis of Parkinson disease O Pauly, SA Ahmadi, A Plate, K Boetzel, N Navab Medical Image Computing and Computer-Assisted Intervention–MICCAI 2012: 15th …, 2012	35	2012

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