معرفی
Jaakko Sahlsten is a Postdoctoral Researcher at the Department of Computer Science, Aalto University. His work focuses on applying deep learning and Bayesian methods to medical imaging challenges, particularly in radiotherapy and VR-based image manipulation. He collaborates with interdisciplinary teams across oncology, dentistry, and computational biology.
- Key Research Areas: Medical image segmentation, uncertainty quantification, VR applications, diabetic retinopathy analysis
- Methodologies: Deep learning, DualUNet architectures, large language models (DR-GPT), Bayesian modeling
- Clinical Domains: Oropharyngeal cancer, head and neck tumors, dentistry, diabetic retinopathy
His recent publications analyze 3D medical image manipulation in VR, AI-driven tumor segmentation, and uncertainty estimation in radiotherapy. He actively explores model robustness and reproducibility in healthcare AI applications, with collaborations spanning institutions in radiation oncology and medical imaging.
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