AC
Alessandro Crimi
neurosciencecs.AIcs.LGbioinformaticscs.CVeess.IVAlzheimer DiseaseBrainBrain NeoplasmsConnectome
On Valency
published · living versionsW_ctyr365s·v1 · currentpublished
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge
with Spyridon Bakas, Mauricio Reyes, Andras Jakab, Stefan Bauer +422
1 version
Preprints & journals
54 papers in the corpus · 2011–2026Protocol for automated analysis of biological images using Python code.41746805 · Sacks, Benjamin, Mody, Jiya, Huang, Yiming et al.2026 · 1 citationSTAR protocols. 2026;7(1):104368
Learning Alzheimer's Disease Signatures by bridging EEG with Spiking Neural Networks and Biophysical Simulations2602.07010v1 · Szymon Mamo'n, Max Talanov, Alessandro Crimi2026 · 0 citationsNeurocomputing, 2026, 134890
Editorial: Spatiotemporal & AI trends in neuroscience, neuroimaging, and neurooncology.41235315 · Crimi, Alessandro, Bakas, Spyridon2025 · 0 citationsFrontiers in neuroimaging. 2025;4:1716335
Prediction and Causality of functional MRI and synthetic signal using a Zero-Shot Time-Series Foundation Model2509.12497v2 · Alessandro Crimi, Andrea Brovelli2025 · 0 citationsarXiv
SharpXR: Structure-Aware Denoising for Pediatric Chest X-Rays2508.08518v1 · Ilerioluwakiiye Abolade, Emmanuel Idoko, Solomon Odelola et al.2025 · 0 citationsarXiv
Graph Attention Networks for Detecting Epilepsy from EEG Signals Using Accessible Hardware in Low-Resource Settings2507.15118v1 · Szymon Mazurek, Stephen Moore, Alessandro Crimi2025 · 2 citationsIEEE Open Journal of Engineering in Medicine and Biology, Volume: 7, 2026
Modeling the Spread of Misfolded Proteins in Alzheimer's Disease using Higher-Order Simplicial Complex Contagion.41336968 · Wardynski, Marcin, Iacopini, Iacopo, Petri, Giovanni et al.2025 · 0 citationsAnnual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference. 2025;2025:1-5
Data reconstruction from machine learning models via inverse estimation and Bayesian inference.40263495 · Hartoyo, Agus, Ciupek, Dominika, Malawski, Maciej et al.2025 · 3 citationsScientific reports. 2025;15(1):13856
From knowledge generation to knowledge verification: examining the biomedical generative capabilities of ChatGPT.40487456 · Hamed, Ahmed Abdeen, Crimi, Alessandro, Misiak, Magdalena M et al.2025 · 7 citationsiScience. 2025;28(6):112492
Synergistic eigenanalysis of covariance and Hessian matrices for enhanced binary classification on health datasets.40132299 · Hartoyo, Agus, Argasiński, Jan, Trenk, Aleksandra et al.2025 · 1 citationComputers in biology and medicine. 2025;190:109985
Correction to: Deep Learning Glioma Grading with the Tumor Microenvironment Analysis Protocol for Comprehensive Learning, Discovering, and Quantifying Microenvironmental Features.38864948 · Pytlarz, M, Wojnicki, K, Pilanc, P et al.2025 · 0 citationsJournal of imaging informatics in medicine. 2025;38(1):660
Reshaped functional connectivity gradients in acute ischemic stroke.40043442 · Koba, Cemal, Falcó-Roget, Joan, Crimi, Alessandro2025 · 7 citationsNeuroImage. Clinical. 2025;45:103755
Comparing structure-function relationships in brain networks using EEG and fNIRS.39578593 · Blanco, Rosmary, Preti, Maria Giulia, Koba, Cemal et al.2024 · 26 citationsScientific reports. 2024;14(1):28976
Neural networks associated with eye movements in congenital blindness.39034499 · Koba, Cemal, Crimi, Alessandro, Collignon, Olivier et al.2024 · 1 citationThe European journal of neuroscience. 2024;60(4):4624-4638
End-to-end Stroke imaging analysis, using reservoir computing-based effective connectivity, and interpretable Artificial intelligence2407.12553v1 · Wojciech Ciezobka, Joan Falco-Roget, Cemal Koba et al.2024 · 4 citationsIEEE Access, Volume 13, 2025
Structure-Function Relationship in Electrical and Hemodynamic Brain Networks: Insights from EEG and fNIRS during Rest and Task States10.1101/2024.04.27.591444v1 · Blanco, R., Preti, M. G., Koba, C. et al.2024 · 1 citationbioRxiv
Functional and structural reorganization in brain tumors: a machine learning approach using desynchronized functional oscillations.38582867 · Falcó-Roget, Joan, Cacciola, Alberto, Sambataro, Fabio et al.2024 · 23 citationsCommunications biology. 2024;7(1):419
Investigation of Energy-efficient AI Model Architectures and Compression Techniques for "Green" Fetal Brain Segmentation2405.15778v1 · Szymon Mazurek, Monika Pytlarz, Sylwia Malec et al.2024 · 1 citationarXiv
Deep Learning Glioma Grading with the Tumor Microenvironment Analysis Protocol for Comprehensive Learning, Discovering, and Quantifying Microenvironmental Features.38413460 · Pytlarz, M, Wojnicki, K, Pilanc, P et al.2024 · 8 citationsJournal of imaging informatics in medicine. 2024;37(4):1711-1727
Synergistic eigenanalysis of covariance and Hessian matrices for enhanced binary classification2402.09281v3 · Agus Hartoyo, Jan Argasi'nski, Aleksandra Trenk et al.2024 · 0 citationsarXiv
Prediction of misfolded proteins spreading in Alzheimer's disease using machine learning and spreading models.37833822 · Gherardini, Luca, Zajdel, Aleksandra, Pini, Lorenzo et al.2023 · 7 citationsCerebral cortex (New York, N.Y. : 1991). 2023;33(24):11471-11485
Investigating the Interaction Between EEG and fNIRS: A Multimodal Network Analysis of Brain Connectivity10.1101/2023.11.08.565955v1 · Blanco, R., Koba, C., Crimi, A.2023 · 24 citationsbioRxiv
Style transfer between Microscopy and Magnetic Resonance Imaging via Generative Adversarial Network in small sample size settings2310.10414v3 · Monika Pytlarz, Adrian Onicas, Alessandro Crimi2023 · 1 citation2023 IEEE International Conference on Image Processing (ICIP), Kuala Lumpur, Malaysia, 2023, pp. 1120-1124
Fact-Checking Generative AI: Ontology-Driven Biological Graphs for Disease-Gene Link Verification2308.03929v4 · Ahmed Abdeen Hamed, Byung Suk Lee, Alessandro Crimi et al.2023 · 5 citationsarXiv
Directed networks and resting-state effective brain connectivity with state-space reconstruction using reservoir computing causality10.1101/2023.06.08.544175v1 · Falco-Roget, J., Onicas, A. I., Akwasi-Sarpong, F. et al.2023 · 1 citationbioRxiv
3D reconstructions of brain from MRI scans using neural radiance fields10.1101/2023.04.24.538160v1 · Idrissu, K., Malec, S., Crimi, A.2023 · 10 citationsbioRxiv
Resting State Brain Connectivity analysis from EEG and FNIRS signals10.1101/2023.04.11.536366v1 · Blanco, R., Koba, C., Crimi, A.2023 · 2 citationsbioRxiv
An intact oculomotor neural circuit in congenital blindness10.1101/2023.03.24.533989v2 · Koba, C., Crimi, A., Collignon, O. et al.2023 · 0 citationsbioRxiv
Community detection in brain connectomes with hybrid quantum computing.36859591 · Wierzbiński, Marcin, Falcó-Roget, Joan, Crimi, Alessandro2023 · 19 citationsScientific reports. 2023;13(1):3446
Prediction of misfolded proteins spreading in Alzheimer's disease using machine learning10.1101/2022.10.04.510701v1 · Gherardini, L., Pestka, A., Pini, L. et al.2022 · 1 citationbioRxiv
Multiscale optical and optoacoustic imaging of amyloid-β deposits in mice.35835994 · Ni, Ruiqing, Chen, Zhenyue, Deán-Ben, Xosé Luís et al.2022 · 85 citationsNature biomedical engineering. 2022;6(9):1031-1044
The Rosenbluth sampling Calculation of Hydrophobic-Polar Model10.1101/2022.05.02.490260v1 · Wierzbinski, M., Crimi, A.2022 · 0 citationsbioRxiv
Relating Global and Local Connectome Changes to Dementia and Targeted Gene Expression in Alzheimer's Disease.35002653 · Elsheikh, Samar S M, Chimusa, Emile R, Alzheimer's Disease Neuroimaging Initiative et al.2022 · 8 citationsFrontiers in human neuroscience. 2021;15:761424
An integrated genomic approach to dissect the genetic landscape regulating the cell-to-cell transfer of α-synuclein.34107263 · Kara, Eleanna, Crimi, Alessandro, Wiedmer, Anne et al.2022 · 13 citationsCell reports. 2021;35(10):109189
Classification and Generation of MicroscopyImages with Plasmodium Falciparum via ArtificialNeural Networks10.1101/2020.07.21.214742v1 · Ramarolahy, R. T. C., Gyasi, E. O., Crimi, A.2020 · 0 citationsbioRxiv
Whole brain optoacoustic tomography reveals strain-specific regional beta-amyloid densities in Alzheimer`s disease amyloidosis models10.1101/2020.02.25.964064v1 · Ni, R., Dean-Ben, X. L., Kirschenbaum, D. et al.2020 · 17 citationsbioRxiv
BiGen: Integrative Clinical and Brain-Imaging Genetics Analysis Using Structural Equation Model10.1101/2020.02.04.934596v1 · Elsheikh, S. S. M., Chimusa, E. R., Crimi, A. et al.2020 · 1 citationbioRxiv
Genome-Wide Association Study of Brain Connectivity Changes for Alzheimer's Disease.31996736 · Elsheikh, Samar S M, Chimusa, Emile R, Mulder, Nicola J et al.2020 · 40 citationsScientific reports. 2020;10(1):1433
An integrated genomic approach to dissect the genetic landscape regulating the cell-to-cell transfer of a-synuclein10.1101/2019.12.23.886838v1 · Kara, E., Crimi, A., Wiedmer, A. et al.2019 · 0 citationsbioRxiv
Boosting diabetes and pre-diabetes detection in rural Ghana.31508210 · Effah Nyarko, Bernard, Amoah, Rosemary Serwah, Crimi, Alessandro2020 · 9 citationsF1000Research. 2019;8:289
MultiLink Analysis: Brain Network Comparison via Sparse Connectivity Analysis.30635604 · Crimi, Alessandro, Giancardo, Luca, Sambataro, Fabio et al.2020 · 16 citationsScientific reports. 2019;9(1):65
Multi-stage Association Analysis of Glioblastoma Gene Expressions with Texture and Spatial Patterns.31482151 · Elsheikh, Samar S M, Bakas, Spyridon, Mulder, Nicola J et al.2024 · 13 citationsBrainlesion : glioma, multiple sclerosis, stroke and traumatic brain injuries. BrainLes (Workshop). 2019;11383:239-250
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge1811.02629v3 · Spyridon Bakas, Mauricio Reyes, Andras Jakab et al.2018 · 1,441 citationsarXivon Valency
Pre-operarative Multivariate Connectome Analysis for Glioma Patients10.1101/436220v1 · Crimi, A., Wiestler, B., Kirschke, J. S. et al.2018 · 2 citationsbioRxiv
Structurally Constrained Effective Brain Connectivity10.1101/310938v2 · Crimi, A., Dodero, L., Sambataro, F. et al.2018 · 35 citationsbioRxiv
Boosting Diabetes and Pre-Diabetes Screening in Rural Ghana10.1101/278960v2 · Crimi, A., Nyarko, B. E., Amoah, R. S.2018 · 7 citationsbioRxiv
Boosting antenatal care attendance and number of hospital deliveries among pregnant women in rural communities: a community initiative in Ghana based on mobile phones applications and portable ultrasound scans.27301244 · Amoah, Benjamin, Anto, Evelyn A, Osei, Prince K et al.2017 · 72 citationsBMC pregnancy and childbirth. 2016;16(1):141
Segmentation of ultrasound images of fetal anatomic structures using random forest for low-cost settings.26736381 · Anto, Evelyn Arthur, Amoah, Benjamin, Crimi, Alessandro2018 · 16 citationsAnnual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference. 2015;2015:793-6
Automatic Measurement of Venous Pressure Using B-Mode Ultrasound.26186764 · Crimi, Alessandro, Makhinya, Maxim, Baumann, Ulrich et al.2016 · 21 citationsIEEE transactions on bio-medical engineering. 2016;63(2):288-99
Automatic fetal measurements for low-cost settings by using Local Phase Bone detection.26736225 · Amoah, Benjamin, Anto, Evelyn Arthur, Crimi, Alessandro2016 · 11 citationsAnnual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference. 2015;2015:161-4
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