Alessandro Crimi

Alessandro Crimi (born June 25, 1983) is an Italian biomedical engineer, health economist, researcher, and lecturer. He serves as a research leader in computer vision data science at the Sano Centre for Computational Medicine and a lecturer at AIIMS, Ghana.
Crimi has gained recognition for his contributions to the field of biomedical research, with a portfolio of over 50 research papers. His work primarily revolves around computational medicine, brain connectivity, medical imaging, and the study of various diseases, including multiple sclerosis, Alzheimer's disease, Parkinson's disease, and glioma.
==Early life and education==
Crimi was born and raised in Palermo, Italy. He holds a Master of Science in Engineering from the University of Palermo, graduating in 2007. In 2011, he obtained a Ph.D. in medical imaging from the University of Copenhagen. He further obtained an MBA in healthcare management from the Swiss Tropical and Public Health Institute, affiliated with the University of Basel, in 2016.
==Career==
After his PH.D., Crimi worked as a postdoctoral researcher at various institutions, including the French Institute for Research in Computer Science and Automation (INRIA), ETH Zurich, the Italian Institute of Technology (IIT), and the University Hospital of Zurich. His research focused on medical imaging, particularly neuroimage, ultrasound, machine learning, and the prediction of diseases such as multiple sclerosis, Alzheimer’s, Parkinson’s disease, and glioma.
Since 2012, Crimi has been a lecturer at the African Institution for Mathematical Sciences (AIIMS), Ghana, where he conducts a course on machine learning (pattern recognition). He also worked as a chief technology officer for the DocmeUp Project in association with the University of Zurich and Benjamin Amoah and Evelyn Anto. The project was an initiative to improve prenatal care in rural Ghana with mobile apps, portable ultrasound, and machine learning aimed at monitoring prenatal care and reducing child mortality.
In 2020, Crimi founded Yawlab, a startup focused on developing medical devices for diagnosing malaria, tuberculosis, HIV, and several other diseases and educating people to use them.
In August 2021, Crimi started as a research leader at the Sano Centre for Computational Medicine in Krakow, Poland. His research work focuses on computational science, medical imaging, and brain connectivity, and has been featured on the Digital Library of the Association for Computing Machinery (ACM).
Crimi has authored numerous publications in the fields of functional near-infrared spectroscopy (FNIRS) and electroencephalogram (EEG)-based resting-state brain connectivity analysis. He has also contributed to the use of convolutional neural networks (CNNs) for medical image analysis have centred on a multi-scale approach to improve the accuracy of brain tumour segmentation (BraTS). His contributions encompass the examination of neural networks, with a specific focus on connectomes, where he developed methodologies to discern multivariate causal connections within brain connections.
Crimi is also a review editor for "Brain Imaging Methods" and "Neuroimaging Meta-Analyses" by Frontiers in Neuroscience and Frontiers in Neuroimaging, respectively. Additionally, he has participated in BrainLes, an acronym for the International MICCAI Society BrainLesion Workshop. He is professor at AGH University of Science and Technology of Krakow, Poland.
==Awards==
Crimi was recognized with the esteemed Afrinic Mobile Innovation FIRE Award in 2016.
==Research publications==
# "Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge" - S. Bakas, M. Reyes, A. Jakab, S. Bauer, M. Rempfler, A. Crimi, RT. Shinohara (2018).
# "Boosting antenatal care attendance and the number of hospital deliveries among pregnant women in rural communities: a community initiative in Ghana based on mobile phones" - B. Amoah, E. A. Anto, P. K. Osei, K. Pieterson, A. Crimi (2016).
# "Predictive Value of Imaging Markers at Multiple Sclerosis Disease Onset Based on Gadolinium- and USPIO-Enhanced MRI and Machine Learning" - A Crimi, O Commowick, A Maarouf, JC Ferre, E Bannier, A Tourbah (2014).
# "Structurally Constrained Effective Brain Connectivity" - A Crimi, L Dodero, F Sambataro, V Murino, D Sona (2019).
# "Genome-wide association study of brain connectivity changes for Alzheimer's disease" - SSM Elsheikh, ER Chimusa, NJ Mulder, A Crimi (2020).
# "Multiscale optical and optoacoustic imaging of amyloid-β deposits in mice" - R Ni, Z Chen, XL Deán-Ben, FF Voigt, D Kirschenbaum, G Shi, A Villois (2022).
# "Case-control discrimination through effective brain connectivity" - A Crimi, L Dodero, V Murino, D Sona (2017).
# "Automatic Measurement of Venous Pressure Using B-Mode Ultrasound" - A Crimi, M Makhinya, U Baumann, O Thalhammer, C. Goksel (2015).
# "Segmentation of ultrasound images of fetal anatomic structures using random forest for low-cost settings" - EA Anto, B Amoah, A Crimi (2015).
# "Overlaps in brain dynamic functional connectivity between schizophrenia and autism spectrum disorder" - A Andriamananjara, R Muntari, A Crimi (2017).
# "MultiLink Analysis: Brain Network Comparison via Sparse Connectivity Analysis" - A Crimi, L Giancardo, F Sambataro, A Gozzi, V Murino, D Sona (2019).
# "Multi-stage Association Analysis of Glioblastoma Gene Expressions with Texture and Spatial Patterns" - SSM Elsheikh, S Bakas, NJ Mulder, ER Chimusa, C Davatzikos, A Crimi (2019).
# "Automatic Fetal Measurements for Low-Cost Settings by Using Local Phase Bone Detection" - B Amoah, EA Anto, A Crimi (2015).
# "A Bayesian Framework for Automated Cardiovascular Risk Scoring on Standard Lumbar Radiographs" - K Petersen, M Ganz, P Mysling, M Nielsen, L Lillemark, A Crimi, et al (2011).
# "An Integrated Genomic Approach to Dissect the Genetic Landscape Regulating the Cell-to-Cell Transfer of α-Synuclein" - E Kara, A Crimi, A Wiedmer, M Emmenegger, C Manzoni, S Bandres-Ciga, et al (2021).
# "Relating Global and Local Connectome Changes to Dementia and Targeted Gene Expression in Alzheimer's Disease" - S. Elsheikh, E. R. Chimusa, N. Mulder, A. Crimi (Frontiers in Human Neuroscience, 2021).
# "Relating Connectivity Changes in Brain Networks to Genetic Information in Alzheimer Patients" - S Elsheikh, ER Chimusa, N Mulder, A Crimi. (IEEE International Symposium on Biomedical Imaging, 2018).
# "Phone-Based Prenatal Care for Communities and Remote Ultrasound Imaging" - B Amoah, EA Anto, A Crimi. (MobMed Prague, 2014).
# "Semi-Automatic Classification of Lesion Patterns in Patients with Clinically Isolated Syndrome" - A Crimi, O Commowick, JC Ferré, A Maarouf, G Edan, C Barillot. (IEEE International Symposium on Biomedical Imaging, 2013).
# "Effective Brain Connectivity Through a Constrained Autoregressive Model" - A Crimi, L Dodero, V Murino, D Sona. (Medical Image Computing and Computer-Assisted Intervention, 2016).
# "Vessel Tracking for Ultrasound-Based Venous Pressure Measurement" - A Crimi, M Makhinya, U Baumann, G Szekely, O Goksel. (IEEE International Symposium on Biomedical Imaging, 2014).
# "Bigen: Integrative Clinical and Brain-Imaging Genetics Analysis Using Structural Equation Model" - SSM Elsheikh, ER Chimusa, A Crimi, NJ Mulder. (bioRxiv, 2020).
# "Boosting Diabetes and Pre-Diabetes Detection in Rural Ghana" - B Effah Nyarko, RS Amoah, A Crimi. (F1000Research, 2019).
# "Analyse d'Images Spatio-Temporelles dans la Sclérose en Plaques" - C Barillot, A Crimi, O Commowick. (Reconnaissance de Formes et Intelligence Artificielle, 2014).
# "Bayesian Filtered Generation of Post-Surgical Brain Connectomes on Tumor Patients" - J Falcó-Roget, A Crimi. (MICCAI Workshop on Imaging Systems for GI Endoscopy, 2022).
# "Spreading Model for Patients with Parkinson’s Disease Based on Connectivity Differences" - A Crimi, E Kara. (IEEE International Symposium on Biomedical Imaging, 2019).
# "Pre-operative Multivariate Connectome Analysis for Glioma Patients" - A Crimi, B Wiestler, JS Kirschke, SM Krieg. (bioRxiv, 2018).
# "Topological Measures of Connectomics for Low Grades Glioma" - B Amoah, A Crimi. (Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries...)
# "Deep Learning Glioma Grading with the Tumor Microenvironment Analysis Protocol for A Comprehensive Learning, Discovering, and Quantifying Microenvironmental Features" - M Pytlarz, K Wojnicki, P Pilanc, B Kaminska, A Crimi (bioRxiv, 2023).
# "Automatic Glioma Multiclass Tumor Classification" - M Pytlarz, K Wojnicki, P Pilanc, B Kaminska, A Crimi (Medical Imaging 2023: Digital and Computational Pathology, 2023).
# "Community Detection in Brain Connectomes with Hybrid Quantum Computing" - M Wierzbiński, J Falcó-Roget, A Crimi (Scientific Reports, 2023).
# "Directed Networks and Resting-State Effective Brain Connectivity with State-Space Reconstruction using Reservoir Computing Causality" - J Falco-Roget, AI Onicas, F Akwasi-Sarpong, A Crimi (bioRxiv, 2023).
# "3D Reconstructions of Brain from MRI Scans using Neural Radiance Fields" - K Idrissu, S Malec, A Crimi , ICAISC 2023.
# "Resting State Brain Connectivity Analysis from EEG and FNIRS Signals" - R Blanco, C Koba, A Crimi, ICCS 2023.
# "An Intact Oculomotor Neural Circuit in Congenital Blindness" - A Crimi, C Koba, O Collignon, E Ricciardi, U Hasson (bioRxiv, 2023).
# "Structural Reorganization Following a Brain Tumor: A Machine Learning Study Considering Desynchronized Functional Oscillations" - J Falcó-Roget, F Sambataro, A Cacciola, A Crimi (bioRxiv, 2022).
# "Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries: 7th International Workshop, BrainLes 2021" - A Crimi, S Bakas (Springer Nature, 2022).
# "The Rosenbluth Sampling Calculation of Hydrophobic-Polar Model" - M Wierzbiński, A Crimi (bioRxiv, 2022).
# "Prediction of Misfolded Proteins Spreading in Alzheimer's Disease using Machine Learning" - L Gherardini, A Pestka, L Pini, A Crimi (bioRxiv, 2022) (Cerebral Cortex 2023)
# "Classification and Generation of Microscopy Images with Plasmodium Falciparum via Artificial Neural Networks" - CR Ramarolahy, EO Gyasi, A Crimi (2020).
# "Style Transfer Between Microscopy and Magnetic Resonance Imaging Via Generative Adversarial Network in Small Sample Size Settings" - M Pytlarz, A Onicas, A Crimi (2023).
# "Effective Brain Connectivity based on Structural Prior" - A Crimi, L Dodero, F Sambataro, V Murino, D Sona (Annual Meeting of the Organization for Human Brain Mapping, 2017).
# "Connectome of Autistic Brains, Global Versus Local Characterization" - SS Mohamed, ND Nguyen, E Yoneki, A Crimi (Connectomics in NeuroImaging: First International Workshop, CNI 2017, Held…).
# "Connectome of Autistic Brains, Global versus Local Characterization" - *EYAC Saida S.Mohamed , Nancy Duong Nguyen (1st International MICCAI Workshop on Connectomics in NeuroImaging…).
# "Automatic Tracking for Peritumoral Fibers based on the Simple Harmonic Oscillator based Reconstruction and Estimation Basis" - EOA Konditty, E Bonuedie, D Stern, A Crimi (MICCAI DTI Challenge, 2014).
# "Multiple Sclerosis Lesions Evolution in Patients with Clinically Isolated Syndrome" - A Crimi, O Commowick, JC Ferré, A Maarouf, G Edan, C Barillot (Medical Imaging 2013: Image Processing, 2013).
# "Impact of the Pre-processing and Balancing of EEG Data on the Performance of Graph Neural Network for Epileptic Seizure Classification" - S Mazurek, R Blanco, J Falcó-Roget, JK Argasinski, A Crimi, ICAISC 2023.
# "Novel Approaches in Antiretroviral Therapies Retention and Demand Estimation for AIDS Patients in Zimbabwe" - A Crimi.
# "Mhealth Solution for Managing Malaria in Ebola Affected Zones" - A Crimi.
# "Statistical Analysis of Vertebral Shapes" - A Crimi.
==In the media==
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==References==
==External links==
* Personal website
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* Alessandro Crimi publications indexed by Google Scholar
Category:1983 births
Category:Biomedical engineers
Category:Italian economists
Category:Italian medical researchers
Category:Italian educators
Category:University of Basel alumni