SA
Seyed-Ahmad Ahmadi
cs.CVcs.LGstat.MLcs.AIAlgorithmsAutomatic segmentationDeep learningDeep LearningImage Processing, Computer-AssistedMRI
On Valency
published · living versionsW_j5haz7ag·v1 · currentpublished
Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional Neural Networks and 3D Conditional Random Fields
with Patrick Ferdinand Christ, Mohamed Ezzeldin A. Elshaer, Florian Ettlinger, Sunil Tatavarty +8
1 version
Preprints & journals
56 papers in the corpus · 2006–2026VOGeo-Gaze: Calibration-Free, Geometry-Aware Deep Learning for Real-Time Gaze Tracking in Clinical Video-Oculography10.64898/2026.05.27.26354254v1 · Zhao, J., Ahmadi, S.-A., Decker, J. et al.2026 · 0 citationsmedRxiv
Physiological cerebrospinal fluid interactions between brain and eye structures are altered after long-duration spaceflight.41543309 · Tang, Ge, Jillings, Steven, Jeurissen, Ben et al.2026 · 3 citationsExperimental physiology. 2026;111(9):4209-4222
3DeepVOG: An Open-Source Framework for Real-Time, Accurate 3D Gaze Tracking with Deep Learning10.1101/2025.11.01.25339065v1 · Zhao, J., Ahmadi, S.-A., Decker, J. et al.2025 · 1 citationmedRxiv
MReye-Seg: development and validation of an automated MRI pipeline for standardised ocular and orbital morphometrics.41087679 · Tang, Ge, Ahmadi, Seyed-Ahmad, Jillings, Steven et al.2025 · 5 citationsEye (London, England). 2025;39(18):3294-3305
MedShapeNet - a large-scale dataset of 3D medical shapes for computer vision.39733351 · Li, Jianning, Zhou, Zongwei, Yang, Jiancheng et al.2025 · 47 citationsBiomedizinische Technik. Biomedical engineering. 2025;70(1):71-90
Graph-in-Graph (GiG): Learning interpretable latent graphs in non-Euclidean domain for biological and healthcare applications.37263109 · Zaripova, Kamilia, Cosmo, Luca, Kazi, Anees et al.2023 · 12 citationsMedical image analysis. 2023;88:102839
DIAMANT: Dual Image-Attention Map Encoders For Medical Image Segmentation2304.14571v1 · Yousef Yeganeh, Azade Farshad, Peter Weinberger et al.2023 · 2 citationsarXiv
Differentiable Graph Module (DGM) for Graph Convolutional Networks.35471872 · Kazi, Anees, Cosmo, Luca, Ahmadi, Seyed-Ahmad et al.2023 · 131 citationsIEEE transactions on pattern analysis and machine intelligence. 2023;45(2):1606-1617
Open-Source Skull Reconstruction with MONAI2211.14051v2 · Jianning Li, Andr'e Ferreira, Behrus Puladi et al.2022 · 5 citationsarXiv
ToxNet: an artificial intelligence designed for decision support for toxin prediction.36373611 · Zellner, Tobias, Romanek, Katrin, Rabe, Christian et al.2023 · 12 citationsClinical toxicology (Philadelphia, Pa.). 2023;61(1):56-63
Training \beta-VAE by Aggregating a Learned Gaussian Posterior with a Decoupled Decoder2209.14783v1 · Jianning Li, Jana Fragemann, Seyed-Ahmad Ahmadi et al.2022 · 5 citationsarXiv
IE-Vnet: Deep Learning-Based Segmentation of the Inner Ear's Total Fluid Space.35645963 · Ahmadi, Seyed-Ahmad, Frei, Johann, Vivar, Gerome et al.2023 · 17 citationsFrontiers in neurology. 2022;13:663200
Persistent horizontal and vertical, MR-induced nystagmus in resting state Human Connectome Project data.35367649 · Go, Cammille C, Taskin, Huseyin O, Ahmadi, Seyed-Ahmad et al.2022 · 6 citationsNeuroImage. 2022;255:119170
Dosimetric impact of deep learning-based CT auto-segmentation on radiation therapy treatment planning for prostate cancer.35101068 · Kawula, Maria, Purice, Dinu, Li, Minglun et al.2022 · 59 citationsRadiation oncology (London, England). 2022;17(1):21
Physics-aware learning and domain-specific loss design in ophthalmology.34891109 · Burwinkel, Hendrik, Matz, Holger, Saur, Stefan et al.2022 · 8 citationsMedical image analysis. 2022;76:102314
Using Base-ml to Learn Classification of Common Vestibular Disorders on DizzyReg Registry Data.34413823 · Vivar, Gerome, Strobl, Ralf, Grill, Eva et al.2021 · 15 citationsFrontiers in neurology. 2021;12:681140
Simultaneous imputation and classification using Multigraph Geometric Matrix Completion (MGMC): Application to neurodegenerative disease classification.34127236 · Vivar, Gerome, Kazi, Anees, Burwinkel, Hendrik et al.2021 · 20 citationsArtificial intelligence in medicine. 2021;117:102097
Metabolic connectivity-based single subject classification by multi-regional linear approximation in the rat.33831550 · Grosch, Maximilian, Beyer, Leonie, Lindner, Magdalena et al.2021 · 4 citationsNeuroImage. 2021;235:118007
IE-Map: a novel in-vivo atlas and template of the human inner ear.33558581 · Ahmadi, Seyed-Ahmad, Raiser, Theresa Marie, Rühl, Ria Maxine et al.2021 · 13 citationsScientific reports. 2021;11(1):3293
VOLT: a novel open-source pipeline for automatic segmentation of endolymphatic space in inner ear MRI.32666134 · Gerb, J, Ahmadi, S A, Kierig, E et al.2021 · 24 citationsJournal of neurology. 2020;267(Suppl 1):185-196
Modern machine-learning can support diagnostic differentiation of central and peripheral acute vestibular disorders.32529578 · Ahmadi, Seyed-Ahmad, Vivar, Gerome, Navab, Nassir et al.2021 · 61 citationsJournal of neurology. 2020;267(Suppl 1):143-152
Domain-specific loss design for unsupervised physical training: A new approach to modeling medical ML solutions2005.04454v1 · Hendrik Burwinkel, Holger Matz, Stefan Saur et al.2020 · 2 citationsMedical Image Computing and Computer Assisted Intervention (MICCAI 2020)
Decision Support for Intoxication Prediction Using Graph Convolutional Networks2005.00840v1 · Hendrik Burwinkel, Matthias Keicher, David Bani-Harouni et al.2020 · 3 citationsMedical Image Computing and Computer Assisted Intervention (MICCAI 2020)
Latent-Graph Learning for Disease Prediction2003.13620v2 · Luca Cosmo, Anees Kazi, Seyed-Ahmad Ahmadi et al.2020 · 64 citationsIn International Conference on Medical Image Computing and Computer-Assisted Intervention, pp. 643-653. Springer, Cham, 2020
Analyzing the co-localization of substantia nigra hyper-echogenicities and iron accumulation in Parkinson's disease: A multi-modal atlas study with transcranial ultrasound and MRI.32050136 · Ahmadi, Seyed-Ahmad, Bötzel, Kai, Levin, Johannes et al.2021 · 30 citationsNeuroImage. Clinical. 2020;26:102185
A probabilistic atlas of the human inner ear's bony labyrinth enables reliable atlas-based segmentation of the total fluid space.31422454 · Kirsch, Valerie, Nejatbakhshesfahani, F, Ahmadi, S-A et al.2020 · 22 citationsJournal of neurology. 2019;266(Suppl 1):52-61
Towards computerized diagnosis of neurological stance disorders: data mining and machine learning of posturography and sway.31286203 · Ahmadi, Seyed-Ahmad, Vivar, Gerome, Frei, Johann et al.2020 · 36 citationsJournal of neurology. 2019;266(Suppl 1):108-117
DeepVOG: Open-source pupil segmentation and gaze estimation in neuroscience using deep learning.31176683 · Yiu, Yuk-Hoi, Aboulatta, Moustafa, Raiser, Theresa et al.2020 · 200 citationsJournal of neuroscience methods. 2019;324:108307
Multi-modal Graph Fusion for Inductive Disease Classification in Incomplete Datasets1905.03053v1 · Gerome Vivar, Hendrik Burwinkel, Anees Kazi et al.2019 · 6 citationsarXiv
InceptionGCN: Receptive Field Aware Graph Convolutional Network for Disease Prediction1903.04233v1 · Anees Kazi, Shayan shekarforoush, S.Arvind krishna et al.2019 · 172 citationsarXiv
Stabilizing Inputs to Approximated Nonlinear Functions for Inference with Homomorphic Encryption in Deep Neural Networks1902.01870v1 · Moustafa AboulAtta, Matthias Ossadnik, Seyed-Ahmad Ahmadi2019 · 2 citationsarXiv
Cloud Deployment of High-Resolution Medical Image Analysis With TOMAAT.30530377 · Milletari, Fausto, Frei, Johann, Aboulatta, Moustafa et al.2020 · 23 citationsIEEE journal of biomedical and health informatics. 2019;23(3):969-977
A baseline study for detection of Parkinson's disease with 3D-transcranial sonography and uni-lateral reconstruction.30579060 · Plate, Annika, Maiostre, Juliana, Levin, Johannes et al.2020 · 3 citationsJournal of the neurological sciences. 2019;397:16-21
Multi-modal Disease Classification in Incomplete Datasets Using Geometric Matrix Completion1803.11550v1 · Gerome Vivar, Andreas Zwergal, Nassir Navab et al.2018 · 25 citationsarXiv
TOMAAT: volumetric medical image analysis as a cloud service1803.06784v2 · Fausto Milletari, Johann Frei, Seyed-Ahmad Ahmadi2018 · 3 citationsarXiv
Classification of sparsely labeled spatio-temporal data through semi-supervised adversarial learning1801.08712v2 · Atanas Mirchev, Seyed-Ahmad Ahmadi2018 · 1 citationarXiv
MR imaging differentiation of Fe2+ and Fe3+ based on relaxation and magnetic susceptibility properties.28324122 · Dietrich, Olaf, Levin, Johannes, Ahmadi, Seyed-Ahmad et al.2017 · 47 citationsNeuroradiology. 2017;59(4):403-409
SurvivalNet: Predicting patient survival from diffusion weighted magnetic resonance images using cascaded fully convolutional and 3D convolutional neural networks1702.05941v1 · Patrick Ferdinand Christ, Florian Ettlinger, Georgios Kaissis et al.2017 · 30 citationsarXiv
Automatic Liver and Tumor Segmentation of CT and MRI Volumes using Cascaded Fully Convolutional Neural Networks1702.05970v2 · Patrick Ferdinand Christ, Florian Ettlinger, Felix Grun et al.2017 · 278 citationsarXiv
The role of the pallidothalamic fibre tracts in deep brain stimulation for dystonia: A diffusion MRI tractography study.27862612 · Rozanski, Verena Eveline, da Silva, Nadia Moreira, Ahmadi, Seyed-Ahmad et al.2018 · 30 citationsHuman brain mapping. 2017;38(3):1224-1232
Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional Neural Networks and 3D Conditional Random Fields1610.02177v1 · Patrick Ferdinand Christ, Mohamed Ezzeldin A. Elshaer, Florian Ettlinger et al.2016 · 623 citationsarXivon Valency
A diffusion-based connectivity map of the GPi for optimised stereotactic targeting in DBS.27646126 · da Silva, Nadia Moreira, Ahmadi, Seyed-Ahmad, Tafula, Sergio Neves et al.2018 · 44 citationsNeuroImage. 2017;144(Pt A):83-91
V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation1606.04797v1 · Fausto Milletari, Nassir Navab, Seyed-Ahmad Ahmadi2016 · 11,838 citationsarXiv
Hough-CNN: Deep Learning for Segmentation of Deep Brain Regions in MRI and Ultrasound1601.07014v3 · Fausto Milletari, Seyed-Ahmad Ahmadi, Christine Kroll et al.2016 · 393 citationsarXiv
Standardized Evaluation System for Left Ventricular Segmentation Algorithms in 3D Echocardiography.26625409 · Bernard, Olivier, Bosch, Johan G, Heyde, Brecht et al.2016 · 108 citationsIEEE transactions on medical imaging. 2016;35(4):967-77
3D transcranial ultrasound as a novel intra-operative imaging technique for DBS surgery: a feasibility study.25861056 · Ahmadi, Seyed-Ahmad, Milletari, Fausto, Navab, Nassir et al.2016 · 14 citationsInternational journal of computer assisted radiology and surgery. 2015;10(6):891-900
Multi-scale tubular structure detection in ultrasound imaging.25069110 · Hennersperger, Christoph, Baust, Maximilian, Waelkens, Paulo et al.2015 · 16 citationsIEEE transactions on medical imaging. 2015;34(1):13-26
Connectivity patterns of pallidal DBS electrodes in focal dystonia: a diffusion tensor tractography study.24045076 · Rozanski, Verena E, Vollmar, Christian, Cunha, João Paulo et al.2014 · 50 citationsNeuroImage. 2014;84:435-42
Learning from multiple experts with random forests: application to the segmentation of the midbrain in 3D ultrasound.24579145 · Chatelain, Pierre, Pauly, Olivier, Peter, Loïc et al.2014 · 14 citationsMedical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention. 2013;16(Pt 2):230-7
Three-dimensional sonographic examination of the midbrain for computer-aided diagnosis of movement disorders.23196201 · Plate, Annika, Ahmadi, Seyed-Ahmad, Pauly, Olivier et al.2013 · 26 citationsUltrasound in medicine & biology. 2012;38(12):2041-50
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