COMPUTATIONAL LEARNING
Descrição da oferta de emprego
Current standard treatment involves surgery combined with radiotherapy, however, 2/3 of early-detected BC tumors are clinically unpalpable.
These require invasive, less accurate localization procedures for a conservative therapeutic approach.
To succeed, a fundamental scientific problem must first be solved.
how does the breast, a highly deformable organ, change shape when a patient is in different postures, while scanned using different medical imaging modalities? In this project, we aim to develop a novel, hybrid in silico/physics-informed machine learning approaches, for generation of artificial data based on generative models and for multimodal data fusion.
The result will be cutting-edge, high-fidelity digital breast models with breast magnetic resonance imaging pose transformation from prone to supine, to predict tumor location.
Minimum profile required Experience in Computer Vision and machine learning.
Preference factors Experience in research projects, and writing of scientific papers.
Application Period Since 21 Nov to 04 Dec [Open soon] Centre Telecommunications and Multimedia Scientific Advisor Hélder Filipe Oliveira
Detalhes da oferta
- INESC TEC
- 20/11/2024
- 18/02/2025
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