Marta Ranzini
Computer Vision Lead at Humanitas
Greater Milan Metropolitan Area Italy
Summary
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Rockstar🎓
Top SchoolMarta Ranzini is a Computer Vision Lead with a PhD in Medical Image Computing from UCL and nine years of experience translating research-grade deep learning and image-processing methods into clinical tools. Based at Humanitas A.I. Center in Milan, she leads projects from feasibility assessment and partner management to model development and deployment, with hands-on expertise in PyTorch, OpenCV and cloud-based workflows. Her work spans fetal MRI, paediatric neurorehabilitation, musculoskeletal imaging and microscopy (including circulating tumour cell localisation), and she recently secured funding to fuse textual clinical data with image-based abnormality detection. Known for combining rigorous academic training with practical software delivery—GUIs for inference, annotation pipelines and annotation protocol setup—she prioritises measurable clinical impact and close industry-clinical collaboration.
9 years of coding experience
1 year of employment as a software developer
Master of Science in Physics, Master of Science in Physics at Università degli Studi di Milano-BicoccaDiploma di Maturità Scientifica con Sperimentazione Brocca Linguistico, Diploma di Maturità Scientifica con Sperimentazione Brocca Linguistico at L.S.S. Claudio CavalleriUniversity College London
Italian, English, French
Github Skills (21)
imaging9
computer-vision8
mri8
deep-learning8
inverse-problems8
medical-image-computing8
image-registration8
medical-image-analysis8
convolutional-neural-networks8
pytorch8
image-reconstruction8
robust8
medical-image-processing8
machine-learning7
medical7
Programming languages (3)
Github contributions (5)
gift-surg/MONAIfbs
Nov 2020 - Feb 2021
Contributions:10 commits, 2 PRs, 7 pushes in 2 months
gift-surg/FetalBrainSegmentation_MONAI
Sep 2020 - Nov 2020
Tool for fetal brain segmentation in MRI
Contributions:2 PRs, 21 pushes, 5 branches in 2 months
brainbrain-segmentationmrifetalsegmentation
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