Simeon E. Spasov

15 papers A 1Journal 11Unranked 3

Year	Rank	Type	Title / Venue / Authors
2023	—	`conf`	Contrastive learning for unsupervised medical image clustering and reconstruction. NLDL Matteo Ferrante, Tommaso Boccato, Andrea Duggento, Simeon E. Spasov, Nicola Toschi
2023	J	`jnl`	DBGDGM: Dynamic Brain Graph Deep Generative Model. CoRR Alexander Campbell, Simeon E. Spasov, Nicola Toschi, Pietro Liò
2023	J	`jnl`	Multimodal and multicontrast image fusion via deep generative models. CoRR Giovanna Maria Dimitri, Simeon E. Spasov, Andrea Duggento, Luca Passamonti, Pietro Liò, Nicola Toschi
2023	J	`jnl`	VAESim: A probabilistic approach for self-supervised prototype discovery. Image Vis. Comput. Matteo Ferrante, Tommaso Boccato, Simeon E. Spasov, Andrea Duggento, Nicola Toschi
2022	J	`jnl`	Contrastive learning for unsupervised medical image clustering and reconstruction. CoRR Matteo Ferrante, Tommaso Boccato, Simeon E. Spasov, Andrea Duggento, Nicola Toschi
2022	J	`jnl`	Multimodal and multicontrast image fusion via deep generative models. Inf. Fusion Giovanna Maria Dimitri, Simeon E. Spasov, Andrea Duggento, Luca Passamonti, Pietro Lió, Nicola Toschi
2022	J	`jnl`	VAESim: A probabilistic approach for self-supervised prototype discovery. CoRR Matteo Ferrante, Tommaso Boccato, Simeon E. Spasov, Andrea Duggento, Nicola Toschi
2020	J	`jnl`	GRADE: Graph Dynamic Embedding. CoRR Simeon E. Spasov, Alessandro Di Stefano, Pietro Liò, Jian Tang
2020	J	`jnl`	RicciNets: Curvature-guided Pruning of High-performance Neural Networks Using Ricci Flow. CoRR Samuel Glass, Simeon E. Spasov, Pietro Liò
2020	—	`conf`	Unsupervised stratification in neuroimaging through deep latent embeddings. EMBC Giovanna Maria Dimitri, Simeon E. Spasov, Andrea Duggento, Luca Passamonti, Pietro Lio', Nicola Toschi
2019	J	`jnl`	A parameter-efficient deep learning approach to predict conversion from mild cognitive impairment to Alzheimer's disease. NeuroImage Simeon E. Spasov, Luca Passamonti, Andrea Duggento, Pietro Liò, Nicola Toschi
2019	J	`jnl`	Co-Attentive Cross-Modal Deep Learning for Medical Evidence Synthesis and Decision Making. CoRR Devin Taylor, Simeon E. Spasov, Pietro Liò
2019	A	`conf`	Dynamic Neural Network Channel Execution for Efficient Training. BMVC Simeon E. Spasov, Pietro Liò
2019	J	`jnl`	Dynamic Neural Network Channel Execution for Efficient Training. CoRR Simeon E. Spasov, Pietro Liò
2018	—	`conf`	A Multi-modal Convolutional Neural Network Framework for the Prediction of Alzheimer's Disease. EMBC Simeon E. Spasov, Luca Passamonti, Andrea Duggento, Pietro Liò, Nicola Toschi