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Journal Articles
- 2023
[j3]Matteo Ferrante, Tommaso Boccato, Simeon E. Spasov, Andrea Duggento, Nicola Toschi:
VAESim: A probabilistic approach for self-supervised prototype discovery. Image Vis. Comput. 137: 104746 (2023)- 2022
- [j2]Giovanna Maria Dimitri
, Simeon E. Spasov, Andrea Duggento, Luca Passamonti, Pietro Lió, Nicola Toschi:
Multimodal and multicontrast image fusion via deep generative models. Inf. Fusion 88: 146-160 (2022) - 2019
- [j1]Simeon E. Spasov, Luca Passamonti, Andrea Duggento, Pietro Liò, Nicola Toschi:
A parameter-efficient deep learning approach to predict conversion from mild cognitive impairment to Alzheimer's disease. NeuroImage 189: 276-287 (2019)
Conference and Workshop Papers
- 2023
- [c5]Alexander Campbell, Simeon Emilov Spasov, Nicola Toschi, Pietro Lio:
DBGDGM: Dynamic Brain Graph Deep Generative Model. MIDL 2023: 1346-1371 - [c4]Matteo Ferrante, Tommaso Boccato, Andrea Duggento, Simeon E. Spasov, Nicola Toschi:
Contrastive learning for unsupervised medical image clustering and reconstruction. NLDL 2023 - 2020
- [c3]Giovanna Maria Dimitri, Simeon E. Spasov, Andrea Duggento, Luca Passamonti, Pietro Lio', Nicola Toschi:
Unsupervised stratification in neuroimaging through deep latent embeddings. EMBC 2020: 1568-1571 - 2019
- [c2]Simeon E. Spasov, Pietro Liò:
Dynamic Neural Network Channel Execution for Efficient Training. BMVC 2019: 89 - 2018
- [c1]Simeon E. Spasov, Luca Passamonti, Andrea Duggento, Pietro Liò, Nicola Toschi:
A Multi-modal Convolutional Neural Network Framework for the Prediction of Alzheimer's Disease. EMBC 2018: 1271-1274
Informal and Other Publications
- 2023
- [i8]Alexander Campbell, Simeon E. Spasov, Nicola Toschi, Pietro Liò:
DBGDGM: Dynamic Brain Graph Deep Generative Model. CoRR abs/2301.11408 (2023) - [i7]Giovanna Maria Dimitri, Simeon E. Spasov, Andrea Duggento, Luca Passamonti, Pietro Liò, Nicola Toschi:
Multimodal and multicontrast image fusion via deep generative models. CoRR abs/2303.15963 (2023) - 2022
- [i6]Matteo Ferrante, Tommaso Boccato, Simeon E. Spasov, Andrea Duggento, Nicola Toschi:
Contrastive learning for unsupervised medical image clustering and reconstruction. CoRR abs/2209.12005 (2022) - [i5]Matteo Ferrante, Tommaso Boccato, Simeon E. Spasov, Andrea Duggento, Nicola Toschi:
VAESim: A probabilistic approach for self-supervised prototype discovery. CoRR abs/2209.12279 (2022) - 2020
- [i4]Samuel Glass, Simeon E. Spasov, Pietro Liò:
RicciNets: Curvature-guided Pruning of High-performance Neural Networks Using Ricci Flow. CoRR abs/2007.04216 (2020) - [i3]Simeon E. Spasov, Alessandro Di Stefano, Pietro Liò, Jian Tang:
GRADE: Graph Dynamic Embedding. CoRR abs/2007.08060 (2020) - 2019
- [i2]Simeon E. Spasov, Pietro Liò:
Dynamic Neural Network Channel Execution for Efficient Training. CoRR abs/1905.06435 (2019) - [i1]Devin Taylor, Simeon E. Spasov, Pietro Liò:
Co-Attentive Cross-Modal Deep Learning for Medical Evidence Synthesis and Decision Making. CoRR abs/1909.06442 (2019)
Coauthor Index
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