Aristeidis Sotiras
Orcid: 0000-0003-0795-8820
According to our database1,
Aristeidis Sotiras
authored at least 64 papers
between 2009 and 2025.
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Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
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Bibliography
2025
Pattern Recognit., 2025
2024
CoRR, 2024
DMC-Net: Lightweight Dynamic Multi-Scale and Multi-Resolution Convolution Network for Pancreas Segmentation in CT Images.
CoRR, 2024
Analysing heterogeneity in Alzheimer Disease using multimodal normative modelling on ATN biomarkers.
CoRR, 2024
CoRR, 2024
D-Net: Dynamic Large Kernel with Dynamic Feature Fusion for Volumetric Medical Image Segmentation.
CoRR, 2024
CoRR, 2024
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Improving Normative Modeling for Multi-Modal Neuroimaging Data Using Mixture-of-Product-of-Experts Variational Autoencoders.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
TimeMIL: Advancing Multivariate Time Series Classification via a Time-aware Multiple Instance Learning.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
DGR-MIL: Exploring Diverse Global Representation in Multiple Instance Learning for Whole Slide Image Classification.
Proceedings of the Computer Vision - ECCV 2024, 2024
2023
A systematic review of multimodal brain age studies: Uncovering a divergence between model accuracy and utility.
Patterns, April, 2023
SC-MIL: Sparsely Coded Multiple Instance Learning for Whole Slide Image Classification.
CoRR, 2023
Proceedings of the Medical Imaging 2023: Image Processing, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Morphological Versus Functional Network Organization: A Comparison Between Structural Covariance Networks and Probabilistic Functional Modes.
Proceedings of the Machine Learning in Clinical Neuroimaging - 6th International Workshop, 2023
Abdominal CT pancreas segmentation using multi-scale convolution with aggregated transformations.
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, San Diego, 2023
Normative modeling using multimodal variational autoencoders to identify abnormal brain volume deviations in Alzheimer's disease.
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, San Diego, 2023
Siam-VAE: a hybrid deep learning based anomaly detection framework for automated quality control of head CT scans.
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, San Diego, 2023
Non-invasive classification of IDH mutation status of gliomas from multi-modal MRI using a 3D convolutional neural network.
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, San Diego, 2023
Proceedings of the Information Processing in Medical Imaging, 2023
2022
Synthesizing pseudo-T2w images to recapture missing data in neonatal neuroimaging with applications in rs-fMRI.
NeuroImage, 2022
Medical Image Anal., 2022
MRI-based classification of IDH mutation and 1p/19q codeletion status of gliomas using a 2.5D hybrid multi-task convolutional neural network.
CoRR, 2022
Integrative Imaging Informatics for Cancer Research: Workflow Automation for Neuro-oncology (I3CR-WANO).
CoRR, 2022
2021
The Brain Tumor Sequence Registration Challenge: Establishing Correspondence between Pre-Operative and Follow-up MRI scans of diffuse glioma patients.
CoRR, 2021
Multidimensional representations in late-life depression: convergence in neuroimaging, cognition, clinical symptomatology and genetics.
CoRR, 2021
CoRR, 2021
Disentangling Alzheimer's disease neurodegeneration from typical brain aging using machine learning.
CoRR, 2021
BrainTumorNet: multi-task learning for joint segmentation of high-grade glioma and brain metastases from MR images.
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021
2020
Integrative radiomic analysis for pre-surgical prognostic stratification of glioblastoma patients: from advanced to basic MRI protocols.
Proceedings of the Medical Imaging 2020: Image-Guided Procedures, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
2019
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2019
2018
NeuroImage, 2018
NeuroImage, 2018
Generative Discriminative Models for Multivariate Inference and Statistical Mapping in Medical Imaging.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
2017
HYDRA: Revealing heterogeneity of imaging and genetic patterns through a multiple max-margin discriminative analysis framework.
NeuroImage, 2017
Int. J. Comput. Vis., 2017
2016
Abnormality Detection via Iterative Deformable Registration and Basis-Pursuit Decomposition.
IEEE Trans. Medical Imaging, 2016
Segmentation of Gliomas in Pre-operative and Post-operative Multimodal Magnetic Resonance Imaging Volumes Based on a Hybrid Generative-Discriminative Framework.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2016
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
2015
Finding imaging patterns of structural covariance via Non-Negative Matrix Factorization.
NeuroImage, 2015
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015
Graph-Based Motion-Driven Segmentation of the Carotid Atherosclerotique Plaque in 2D Ultrasound Sequences.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015
GLISTRboost: Combining Multimodal MRI Segmentation, Registration, and Biophysical Tumor Growth Modeling with Gradient Boosting Machines for Glioma Segmentation.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2015
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
2014
Efficient and Automated Multimodal Satellite Data Registration through MRFs and Linear Programming.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2014
Proceedings of the British Machine Vision Conference, 2014
2013
Deriving Statistical Significance Maps for Support Vector Regression Using Medical Imaging Data.
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2013
Sparse Classification with MRI Based Markers for Neuromuscular Disease Categorization.
Proceedings of the Machine Learning in Medical Imaging - 4th International Workshop, 2013
2012
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012
2011
DRAMMS: Deformable registration via attribute matching and mutual-saliency weighting.
Medical Image Anal., 2011
Proceedings of the IEEE International Conference on Computer Vision, 2011
2010
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010
Bioluminescence enhancement through fusion of optical imaging and cinematic video flow.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010
2009
Graphical Models and Deformable Diffeomorphic Population Registration Using Global and Local Metrics.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009