Marco Colussi ☕️
Marco Colussi Marco Colussi

PostDoc in Computer Vision for Medical Imaging

About Me

I’m a Research Fellow at Everyware Lab (UniMi) under the supervision of Sergio Mascetti. My reseach intrests include machine learning and its applications in medical imaging, from pathology classification, to anomaly detection and segmentation.

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Interests
  • Computer Vision
  • Medical Imaging
  • Anomaly detection
  • Foundational Models
Education
  • PhD in Computer Vision for Medical Imaging

    University of Milan

  • MSc Computer Science

    University of Milan

  • BSc Computer Science

    University of Milan

📚 My Research

I’m a postdoctoral researcher specializing in computer vision for medical imaging, with a focus on addressing data scarcity challenges. My work involves developing deep learning models and leveraging large-scale architectures to create tools that support faster and more accurate clinical decision-making. My research interests include anomaly detection, segmentation, and domain adaptation.

I conducted my Doctoral studies at the EveryWare Lab of University of Milan, under the supervision of Sergio Mascetti and the co-supervision of Claudio Bettini. During this period i spent 6 month at the LIVIA Lab of the ETS Montreal. My research project was awarder with the Guelfo Marcucci Award for young scientist on congenital coagulopatologies.

Please reach out to collaborate 😃

Featured Publications
Recent Publications
(2025). ReC-TTT: Contrastive Feature Reconstruction for Test-Time Training. WACV25.
(2024). LoRIS - Weakly-Supervised Anomaly Detection for Ultrasound Images. ASMUS24.
(2024). Insights on the Development of PRACTICE, a Research-oriented Healthcare Platform. SMARTCOMP.
(2024). A Transfer Learning and Explainable Solution to Detect mpox from Smartphones images. PMC.
(2023). GAJA - Guided self-Acquisition of Joint ultrAsound images. ASMUS23.
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