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In recent years, convolutional neural networks and deep learning have revolutionized computer vision (CV) applications and they are positively impacting medical practice, following success in many other trades. Automatic interpretation of radiologic images improves patient-specific accuracy and reduces radiologist burnout, either as support to reach accurate and consistent expert-level decisions, or as a second opinion about a potential pathology. Applications also include image interpretation during procedures such as endoscopy, AI-assisted surgery, automatic interpretation of digital pathology.

AI systems can analyse thousands of hours of surgical videos to develop patient-specific surgical procedures, by, for instance, detecting anatomical structures such as major nerves and helping with preventing nerve damage during the procedure. Feeds from classical or infrared cameras can be used in conjunction with computer vision methods for patient safety, logistical optimization, monitoring the spread of infections, health assessment, mobility, and similar. Image-based information can also be combined with other types of medically relevant information to provide synergistic decision support based on visual and non-visual cues. The interrelations between the phenotype, determined on the basis of medical imaging, molecular biology, and other data are also of high relevance to precision medicine.

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Alessandro Crimi

PhD MBA Team Leader Computer Vision

Mostly focused on neuroimaging and related topic to neuroscience. Particularly fascinated by diffusion MRI, functional MRI, connectivity and microscopy. The focus of the use of these technologies mostly aiming at finding biomarkers for neurodegenerative diseases, but also at fundamental level of neural circuitry.

Extensive knowledge and experience in image analysis and machine learning.

Strong supporter of neurotech devices (as EEG, EMG...), as well as translation of research into companies, and implementation in global health and development by education.

Author of several peer-reviewed pubblications on neuroimaging, medical imaging and global health.

Editor and organizer of the MICCAI (Medical Image Computing and Computer Assisted Interventions) BrainLesion Workshop, published by Springer Verlag.

Supervised several healthcare projects in low- and middle-income countries in Africa, related to diabetes, HIV and prenatal care.

Visiting lecturer at the African Institute for Mathematical Sciences in Ghana and South Africa, mentor for the NextEinstein initiative.
Serial entrepreneur and science communicator.

  • 2013-ongoing Visiting Lecturer, African Institute for Mathematical Sciences, Ghana & South Africa
  • 2020-2021 Founder of Yawlab, Zurich, Switzerland
  • 2017-2019 Postdoc/Research Associate, University hospital of Zurich, Zurich, Switzerland
  • 2015-2016 Postdoc/Research Associate, Italian Institute for Technology, Genoa, Italy
  • 2012-2014 Postdoc/Research Associate, ETH-Zurich, Zurich, Switzerland
  • 2011-2012 Postdoc/Research Associate, INRIA-Atlantic & University hospital of Rennes, Rennes France
  • 2016 MBA in international health management, University of Basel, Switzerland
  • 2011 Ph.D in Medical imaging, University of Copenhagen, Denmark
  • 2007 M.Sc in Engineering for intelligent systems, University of Palermo, Italy

Sano Centre for Computational Medicine

Czarnowiejska 36, 33-332, Cracow, Poland

Email:

Tel: +48 12 307 27 37

Team Members

Joan Falcó Roget

PhD Student

Joan studied a BSc in physics at the University of Barcelona. Then he moved to Madrid to study a MSc in systems biology at the Universidad Autonoma de Madrid (UAM). His thesis was about computational neuroscience, specifically in " the learning role of dopamine ". After that Joan spent one year collaborating (as a research assistant) with the Theoretical Physics Department in Madrid studying the same things. In Sano he will be working on neuroplasticity after tumor and stroke, and surgical planning. From his personal side, he plays the piano, he loves any kind of sports (specially tennis and football) and he falls in love with mountains.

Sylwia Malec

PhD Student

Sylwia holds a BSc from AGH University of Science and Technology. Her Bachelor’s thesis focused on obtaining 3D printed pelvis directly from a patient’s CT scan. She gained practical experience as a software engineer and data scientist in the industry, where she was focusing on Computer Vision solutions for public safety. In Sano, she works on challenges associated with medical imaging of brain tumors in collaboration with the University of Pennsylvania and the University of Zurich. Privately, she calls herself a renaissance soul due to having lots of interests and hobbies - she is a photomodel, traveler, yoga practitioner, just to name a few.

Monika Pytlarz

PhD Student

Monika obtained a BSc in Electroradiology from Collegium Medicum of the Jagiellonian University and an MSc in Bioinformatics from JU. During her master's studies, she was involved in the development of an algorithm for the automatic segmentation of a high-resolution ultrasound image. She has experience working with clinical patients in the hospital Diagnostic Imaging Department as a radiographer. In Sano, she investigates the use of generative adversarial networks to generate data in the context of microscopy. In her free time, she dances pole art, enjoys alternative music concerts, and plays analog RPGs.

Szymon Mazurek

PostDoc in Computer Vision Data Science

Deep learning and AI enthusiast, holds BSc in Electronics obtained at AGH UST. Currently pursuing a masters degree in Computer Science and Intelligent Systems at the same university. His BSc thesis was about application of deep learning based vision models to assess the aging process in veterinary subjects, a part of CyfroVet project run by ACC Cyfronet AGH in which he still actively participates. Currently working on his masters thesis at Sano in the project that aims to predict the seizure events with deep learning based on the brain EEG signals. Interested in applications of AI in the field of medicine. Privately active brazilian jiu-jitsu competitor, non-fiction books and RPG games lover.

Rosmary Blanco

PhD Student

My name is Rosmary Blanco. I am a neurophysiologist with several years of experience in neurophysiology data recordings and analysis carried out in the neurological, neurosurgical and neurorehabilitation fields, studying pathologies involving the central and peripheral nervous system through different methods, particularly EEG, for diagnostic and research purposes. I specialized in clinical network neuroscience during my master’s degree in “Molecular and Medical Biotechnology” acquiring skills in complex electrophysiological signal processing in particular EEG source functional connectivity, and network analysis. I’m happy to join A. Crimi's group because I believe that it meets my strong interest in computational neuroscience, and because I think that it is a perfect match for my academic aptitude and my career history. My main interest is studying the large-scale network principles governing neuronal communication, cognition, and human behaviour through both empirical and computational approach (in the development of artificial intelligence models) because I think that their convergence can open new frontiers for scientific investigation, in particular to understand brain network dynamics and their manipulation and control. As clinician I am mainly interested in doing applied research for the personalized medicine and clinical decision support, formulating individual inferences starting from large-scale observations.

Coming soon 

Publications

Elsheikh, Samar S. M.; Chimusa, Emile R.; Initiative, Alzheimer's Disease Neuroimaging; Mulder, Nicola J.; Crimi, Alessandro

Relating Global and Local Connectome Changes to Dementia and Targeted Gene Expression in Alzheimer's Disease Journal Article

In: Front Hum Neurosci, 2021.

Abstract | BibTeX | Links:

Kara, Eleanna; Crimi, Alessandro; Wiedmer, Anne; Hardy, John; Hyman, Bradley T.; Aguzzi, Adriano

An integrated genomic approach to dissect the genetic landscape regulating the cell-to-cell transfer of α-synuclein Journal Article

In: 2021.

Abstract | BibTeX | Links:

Crimi, Alessandro; Mulder, Nicola J.; Chimusa, Emile R.; Elsheikh, Samar S. M.

Genome-Wide Association Study of Brain Connectivity Changes for Alzheimer’s Disease Journal Article

In: 2020.

Abstract | BibTeX | Links:

Amoah, Benjamin; Anto, Evelyn A.; Osei, Prince K.; Pieterson, Kojo; Crimi, Alessandro

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 Journal Article

In: 2016.

Abstract | BibTeX | Links:

Crimi, Alessandro; Commowick, Olivier; Maarouf, Adil; Ferré, Jean-Christophe; Bannier, Elise; Tourbah, Ayman; Berry, Isabelle; Ranjeva, Jean-Philippe; Edan, Gilles; Barillot, Christian

Predictive Value of Imaging Markers at Multiple Sclerosis Disease Onset Based on Gadolinium- and USPIO-Enhanced MRI and Machine Learning Journal Article

In: 2014.

Abstract | BibTeX | Links:

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