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09/07/2023
Cross-Task Attention Network: Improving Multi-Task Learning for Medical Imaging Applications
Multi-task learning (MTL) is a powerful approach in deep learning that l...
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11/25/2022
A Comprehensive Study of Radiomics-based Machine Learning for Fibrosis Detection
Objectives: Early detection of liver fibrosis can help cure the disease ...
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03/07/2022
Domain Adaptation of Automated Treatment Planning from Computed Tomography to Magnetic Resonance
Objective: Machine learning (ML) based radiation treatment (RT) planning...
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01/28/2021
A Machine Learning Challenge for Prognostic Modelling in Head and Neck Cancer Using Multi-modal Data
Accurate prognosis for an individual patient is a key component of preci...
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02/28/2020
