Seyed-Ahmad Ahmadi
Orcid: 0000-0002-7082-0739
According to our database1,
Seyed-Ahmad Ahmadi
authored at least 51 papers
between 2006 and 2023.
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Bibliography
2023
Graph-in-Graph (GiG): Learning interpretable latent graphs in non-Euclidean domain for biological and healthcare applications.
Medical Image Anal., August, 2023
IEEE Trans. Pattern Anal. Mach. Intell., 2023
CoRR, 2023
Transformers Pay Attention to Convolutions Leveraging Emerging Properties of ViTs by Dual Attention-Image Network.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
2022
Persistent horizontal and vertical, MR-induced nystagmus in resting state Human Connectome Project data.
NeuroImage, 2022
Medical Image Anal., 2022
Graph-in-Graph (GiG): Learning interpretable latent graphs in non-Euclidean domain for biological and healthcare applications.
CoRR, 2022
Proceedings of the Medical Applications with Disentanglements - First MICCAI Workshop, 2022
2021
Metabolic connectivity-based single subject classification by multi-regional linear approximation in the rat.
NeuroImage, 2021
Simultaneous imputation and classification using Multigraph Geometric Matrix Completion (MGMC): Application to neurodegenerative disease classification.
Artif. Intell. Medicine, 2021
2020
Simultaneous imputation and disease classification in incomplete medical datasets using Multigraph Geometric Matrix Completion (MGMC).
CoRR, 2020
Peri-Diagnostic Decision Support Through Cost-Efficient Feature Acquisition at Test-Time.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Domain-Specific Loss Design for Unsupervised Physical Training: A New Approach to Modeling Medical ML Solutions.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
2019
IEEE J. Biomed. Health Informatics, 2019
Multi-modal Graph Fusion for Inductive Disease Classification in Incomplete Datasets.
CoRR, 2019
Stabilizing Inputs to Approximated Nonlinear Functions for Inference with Homomorphic Encryption in Deep Neural Networks.
CoRR, 2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Adaptive Image-Feature Learning for Disease Classification Using Inductive Graph Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
InceptionGCN: Receptive Field Aware Graph Convolutional Network for Disease Prediction.
Proceedings of the Information Processing in Medical Imaging, 2019
2018
Classification of sparsely labeled spatio-temporal data through semi-supervised adversarial learning.
CoRR, 2018
Multi-modal Disease Classification in Incomplete Datasets Using Geometric Matrix Completion.
Proceedings of the Graphs in Biomedical Image Analysis - and - Integrating Medical Imaging and Non-Imaging Modalities, 2018
2017
A diffusion-based connectivity map of the GPi for optimised stereotactic targeting in DBS.
NeuroImage, 2017
Hough-CNN: Deep learning for segmentation of deep brain regions in MRI and ultrasound.
Comput. Vis. Image Underst., 2017
Automatic Liver and Tumor Segmentation of CT and MRI Volumes using Cascaded Fully Convolutional Neural Networks.
CoRR, 2017
SurvivalNet: Predicting patient survival from diffusion weighted magnetic resonance images using cascaded fully convolutional and 3D Convolutional Neural Networks.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017
Diabetes60 - Inferring Bread Units From Food Images Using Fully Convolutional Neural Networks.
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017
2016
Standardized Evaluation System for Left Ventricular Segmentation Algorithms in 3D Echocardiography.
IEEE Trans. Medical Imaging, 2016
Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional Neural Networks and 3D Conditional Random Fields.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
Coupling Convolutional Neural Networks and Hough Voting for Robust Segmentation of Ultrasound Volumes.
Proceedings of the Pattern Recognition - 38th German Conference, 2016
V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation.
Proceedings of the Fourth International Conference on 3D Vision, 2016
2015
IEEE Trans. Medical Imaging, 2015
3D transcranial ultrasound as a novel intra-operative imaging technique for DBS surgery: a feasibility study.
Int. J. Comput. Assist. Radiol. Surg., 2015
Patient-specific 3D Ultrasound Simulation Based on Convolutional Ray-tracing and Appearance Optimization.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015
Robust Segmentation of Various Anatomies in 3D Ultrasound Using Hough Forests and Learned Data Representations.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015
Proceedings of the British Machine Vision Conference 2015, 2015
2014
Connectivity patterns of pallidal DBS electrodes in focal dystonia: A diffusion tensor tractography study.
NeuroImage, 2014
2013
Image Analysis Methods in Multi-View Transcranial 3D Ultrasound for Diagnosis of Neurological Movement-Disorders.
PhD thesis, 2013
Learning from Multiple Experts with Random Forests: Application to the Segmentation of the Midbrain in 3D Ultrasound.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
2012
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012
Detection of Substantia Nigra Echogenicities in 3D Transcranial Ultrasound for Early Diagnosis of Parkinson Disease.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012
Rigid US-MRI Registration Through Segmentation of Equivalent Anatomic Structures - A Feasibility Study using 3D Transcranial Ultrasound of the Midbrain.
Proceedings of the Bildverarbeitung für die Medizin 2012 - Algorithmen - Systeme, 2012
2011
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011
MR in OR: First analysis of AR/VR visualization in 100 intra-operative Freehand SPECT acquisitions.
Proceedings of the 10th IEEE International Symposium on Mixed and Augmented Reality, 2011
2009
Advanced planning and intra-operative validation for robot-assisted keyhole neurosurgery In ROBOCAST.
Proceedings of the 14th International Conference on Advanced Robotics, 2009
2006
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2006