The seminar will be a brief overview of deep learning techniques for semantic segmentation of images. Then, it will show a use case of deep learning usage for semantic segmentation of ischemic stroke lesions using 3D MRI data.
Deep Learning Applied to Medical Imaging
March 20, 2018
1:00 pm
Miguel Monteiro
Miguel Monteiro has bachelor's degree in Electrical Engineering and Computer Science (EECS) from the University of Lisbon. In 2016, he obtained a double master's degree in EECS from the University of Lisbon and the Royal Institute of Technology, Stockholm (KTH). He is currently a researcher at INESC-ID where he works in machine learning and deep learning applied to ischemic stroke.INESC-IDSeminários
Últimos seminários
Cost-Sensitive Learning to Defer to Multiple Experts
March 2, 2026Large language models (LLMs) have emerged as strong contenders in machine translation. Yet, they often fall behind specialized neural machine…
Fair Federated Learning under Group-Specific Distributed Concept Drift
February 24, 2026Machine learning models can become unfair when different groups experience changes in data over time, a phenomenon called group-specific concept…
Unlocking Latent Discourse Translation in LLMs Through Quality-Aware Decoding
June 17, 2025Large language models (LLMs) have emerged as strong contenders in machine translation. Yet, they often fall behind specialized neural machine…
Speech as a Biomarker for Disease Detection
May 20, 2025Today’s overburdened health systems face numerous challenges, exacerbated by an aging population. Speech emerges as a ubiquitous biomarker with strong…

