Simeon E. Spasov

According to our database, Simeon E. Spasov authored at least 11 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

VAESim: A probabilistic approach for self-supervised prototype discovery.

Matteo Ferrante, Tommaso Boccato, Simeon E. Spasov, Andrea Duggento, Nicola Toschi

Image Vis. Comput., September, 2023

Contrastive learning for unsupervised medical image clustering and reconstruction.

Matteo Ferrante, Tommaso Boccato, Andrea Duggento, Simeon E. Spasov, Nicola Toschi

Proceedings of the 2023 Northern Lights Deep Learning Workshop, 2023

DBGDGM: Dynamic Brain Graph Deep Generative Model.

Alexander Campbell, Simeon Emilov Spasov, Nicola Toschi, Pietro Lio

Proceedings of the Medical Imaging with Deep Learning, 2023

2022

Multimodal and multicontrast image fusion via deep generative models.

Giovanna Maria Dimitri, Simeon E. Spasov, Andrea Duggento, Luca Passamonti, Pietro Lió, Nicola Toschi

Inf. Fusion, 2022

2020

GRADE: Graph Dynamic Embedding.

Simeon E. Spasov, Alessandro Di Stefano, Pietro Liò, Jian Tang

CoRR, 2020

RicciNets: Curvature-guided Pruning of High-performance Neural Networks Using Ricci Flow.

Samuel Glass, Simeon E. Spasov, Pietro Liò

CoRR, 2020

Unsupervised stratification in neuroimaging through deep latent embeddings.

Giovanna Maria Dimitri, Simeon E. Spasov, Andrea Duggento, Luca Passamonti, Pietro Lio', Nicola Toschi

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2019

A parameter-efficient deep learning approach to predict conversion from mild cognitive impairment to Alzheimer's disease.

Simeon E. Spasov, Luca Passamonti, Andrea Duggento, Pietro Liò, Nicola Toschi

NeuroImage, 2019

Co-Attentive Cross-Modal Deep Learning for Medical Evidence Synthesis and Decision Making.

Devin Taylor, Simeon E. Spasov, Pietro Liò

CoRR, 2019

Dynamic Neural Network Channel Execution for Efficient Training.

Simeon E. Spasov, Pietro Liò

Proceedings of the 30th British Machine Vision Conference 2019, 2019

2018

A Multi-modal Convolutional Neural Network Framework for the Prediction of Alzheimer's Disease.

Simeon E. Spasov, Luca Passamonti, Andrea Duggento, Pietro Liò, Nicola Toschi

Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018