53 citations
- Transylvania University of BrașovRO7 papers
- Central Washington UniversityUS2 papers
- Heidelberg UniversityDE2 papers
- Siemens Healthcare (United States)US2 papers
- Siemens Healthineers (Germany)DE2 papers
- Siemens (United States)US2 papers
- University Hospital HeidelbergDE2 papers
- Academia Oamenilor de Știință din RomâniaRO1 paper
- Atos (Spain)ES1 paper
- Bucharest University of Economic StudiesRO1 paper
- Foundation for Research and Technology HellasGR1 paper
- Friedrich-Alexander-Universität Erlangen-NürnbergDE1 paper
10 papers
Foundational Models and Federated Learning: Survey, Taxonomy, Challenges and Practical Insights
Cosmin-Andrei Hatfaludi, Alex Serban
Federated learning has the potential to unlock siloed data and distributed resources by enabling collaborative model training without sharing private data. As more complex foundati…
Learning in Convolutional Neural Networks Accelerated by Transfer Entropy
Adrian Moldovan, Angel Caţaron, Răzvan Andonie
Recently, there is a growing interest in applying Transfer Entropy (TE) in quantifying the effective connectivity between artificial neurons. In a feedforward network, the TE can b…
Deep learning based detection of collateral circulation in coronary angiographies
Cosmin-Andrei Hatfaludi, Daniel Bunescu, Costin Florian Ciusdel +9
Coronary artery disease (CAD) is the dominant cause of death and hospitalization across the globe. Atherosclerosis, an inflammatory condition that gradually narrows arteries and ha…
Privacy-Preserving Medical Image Classification through Deep Learning and Matrix Decomposition
Andreea Bianca Popescu, Cosmin Ioan Nita, Ioana Antonia Taca +2
Deep learning (DL)-based solutions have been extensively researched in the medical domain in recent years, enhancing the efficacy of diagnosis, planning, and treatment. Since the u…
ASCAPE: An open AI ecosystem to support the quality of life of cancer patients
Konstantinos Lampropoulos, Thanos Kosmidis, Serge Autexier +7
The latest cancer statistics indicate a decrease in cancer-related mortality. However, due to the growing and ageing population, the absolute number of people living with cancer is…
Anatomically aware dual-hop learning for pulmonary embolism detection in CT pulmonary angiograms
Florin Condrea, Saikiran Rapaka, Lucian Itu +4
Pulmonary Embolisms (PE) represent a leading cause of cardiovascular death. While medical imaging, through computed tomographic pulmonary angiography (CTPA), represents the gold st…