Matthieu Blons Email & Phone Number

Paris, Fr

Ville De Paris, Île-De-France, France

As a Postdoctoral Researcher in Computational Pathology, I leverage the latest advancements in artificial intelligence and computer vision to address the automatic analysis of stained tissue images. My work focuses on developing cutting-edge Computer-Aided Diagnosis tools and predictive models for patient outcomes, driving advancements in cancer management towards precision medicine.

Ville De Paris, Île-De-France, France

Dedicated to advancing functional ultrasound (fUS) imaging in neuroscience, my work focuses on enhancing image quality, automating vascular volume registration, and classifying cerebral states using cutting-edge machine learning techniques.Contributions:* Automated Enhancement of Vascular Images: I achieved superior vascular visualization by developing an artificial neural network that enhances transcranial vascular images, mimicking human visual perception to create visually compelling… Show more Dedicated to advancing functional ultrasound (fUS) imaging in neuroscience, my work focuses on enhancing image quality, automating vascular volume registration, and classifying cerebral states using cutting-edge machine learning techniques.Contributions:* Automated Enhancement of Vascular Images: I achieved superior vascular visualization by developing an artificial neural network that enhances transcranial vascular images, mimicking human visual perception to create visually compelling images in real time, improving contrast and sensitivity without compromising resolution.* Automated Vascular Volume Registration: Leveraging a CNN-based approach, I enhanced vascular volume registration accuracy by automatically detecting key points in 3D uDoppler volumes. This innovation removed operator dependence, providing high alignment accuracy, robustness against misalignment, and swift processing.* Classification of Cerebral States using CNNs: I systematically classified functional cerebral states in a non-human primate during oculomotor tasks using a simple CNN. This technique effectively discerns active and passive states in single 2D fUS images, offering insights into mechanisms underlying voluntary movements. Show less

Ville De Paris, Île-De-France, France

Worked on 4D ultrafast ultrasound imaging, integrating a multiplane wave technique into RCA matrix probes. Contributions include novel methods for multiplane wave imaging by blocks, elevating image quality. Comparative studies showcase superior performance of multiplane wave over conventional techniques, particularly in deep tissue imaging. These advancements hold promise for high-resolution, 3D functional brain imaging, and innovative diagnostic modalities in medical ultrasound.

Ville De Paris, Île-De-France, France

Pioneered software applications driving automatic cerebral volume alignment and intuitive navigation in the brain to pinpoint neuronal responses, using 3D ultrasound images. Developed precise calibration methods, and executed experiments using visual stimulation to validate the methodology.

Doctorat, Imagerie Biomédicale & Machine Learning

Master 2 (M2), Neuroscience

Diplôme D'Ingénieur, Ingénierie Biomédicale / Médicale