Szymon Płotka

Szymon Płotka is a Researcher in the Medical Imaging and Robotics department at the University of Amsterdam's Informatics Institute. His work focuses on advancing prenatal care through deep learning, particularly in fetal ultrasound analysis and AI-driven medical solutions. He holds a PhD in Computer Science from the University of Amsterdam (2024), with a thesis on enhancing prenatal care via machine learning.

Research Interests:

• Integration of deep learning techniques for medical image analysis
• Development of AI tools for diagnostic accuracy and clinical workflow optimization
• Multimodal data fusion in healthcare
• Real-time surgical imaging applications

Recent work emphasizes fetal biometry measurements, endoscopic synthetic datasets, and real-time placental vessel segmentation. His research bridges cutting-edge AI with clinical practice, aiming to improve accessibility and efficiency in medical imaging.

Key Contributions:

• Advances in fetal ultrasound video analysis matching human expert accuracy
• Pioneering synthetic endoscopic dataset generation with diffusion models
• Development of BabyNet++ for birth weight prediction

No formal students listed, but his projects likely involve collaborations with academic teams. Active in organizing and participating in medical imaging challenges (e.g., FeTA, FetReg).