Algorithms for Biomedical Image Analysis and Processing, Special Issue of Algorithms, Submission deadline: September 1, 2022.


-- 22nd International Symposium on Mathematical and Computational Biology (BIOMAT 2022), November 7-11, 2022. Deadline for submission of abstracts and full papers: June 28, 2022.


-- I. Manipur, M. Giordano, M. Piccirillo, S. Parashuraman and L. Maddalena, Community Detection in Protein-Protein Interaction Networks and Applications, IEEE/ACM Transactions on Computational Biology and Bioinformatics, doi: 10.1109/TCBB.2021.3138142, to appear.

-- I. Manipur, M. Manzo, I. Granata, M. Giordano, L. Maddalena, and M.R. Guarracino, Netpro2vec: a Graph Embedding Framework for Biomedical Applications , in IEEE/ACM Transactions on Computational Biology and Bioinformatics, DOI: 10.1109/TCBB.2021.3078089, vol. 19, no. 2, 2022. Related software available here.

-- L. Maddalena, I. Granata, M. Giordano, M. Manzo, M.R. Guarracino, and for the Alzheimer's Disease Neuroimaging Initiative, Classifying Alzheimer's Disease Using MRIs and Transcriptomic Data, Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 2: BIOIMAGING, ISBN 978-989-758-552-4, ISSN 2184-4305, DOI: 10.5220/0010902900003123, pages 70-79, 2022.

-- M. Manzo, M. Giordano, L. Maddalena, and M.R. Guarracino, Performance Evaluation of Adversarial Attacks on Whole-Graph Embedding Models, In: D.E. Simos, P.M. Pardalos, and I.S. Kotsireas (Eds), Learning and Intelligent Optimization. Springer International Publishing, Lecture Notes in Computer Science vol. 12931, DOI: 10.1007/978-3-030-92121-7_19, ISBN: 978-3-030-92121-7, 219-236, 2021.

-- L. Maddalena, I. Manipur, M. Manzo, and M.R. Guarracino, On Whole-Graph Embedding Techniques, In: Mondaini R.P. (Ed) Trends in Biomathematics: Chaos and Control in Epidemics, Ecosystems, and Cells. BIOMAT 2020. Springer, Cham, DOI: 10.1007/978-3-030-73241-7_8, ISBN: 978-3-030-73241-7, 115-131, 2021.

-- L. Maddalena, I. Granata, I. Manipur, M. Manzo, and M.R. Guarracino, A Framework Based on Metabolic Networks and Biomedical Images Data to Discriminate Glioma Grades, in X. Ye et al. (Eds.), Biomedical Engineering Systems and Technologies. BIOSTEC 2020. CCIS 1400, Springer, ISBN: 978-3-030-72379-8, DOI: 10.1007/978-3-030-72379-8_9, 165--189, 2021.


-- See Slides and Videos from the Workshop How can Scientific Computing help to study Life Sciences?, organized by the ICAR-CNR Research Unit of INdAM (Istituto Nazionale di Alta Matematica), held in Napoli (Italy) and online on September 13, 2021.

Lucia Maddalena


- Scopus Author ID: 9735344700

- WoS Researcher ID: K-5508-2013

- Google Scholar: Lucia_Maddalena

- SciProfiles: Lucia Maddalena


- Senior Researcher, National Research Council (CNR), Institute for High-Performance Computing and Networking (ICAR), Naples Branch

- Director, ICAR-CNR INdAM Research Unit

- Scientific Coordinator, ICAR-CNR Computational Data Science group (CDS-group)

Mailing Address:

Lucia Maddalena

ICAR-CNR, Naples Branch

Via P. Castellino 111, 80131 Naples, Italy

Tel.: +39 081 6139522

Fax: +39 081 6139531

lucia.maddalena 'at'

Last update: June 15, 2022