Muhaddisa Barat Ali

Doctoral Student at Signal Processing

Muhaddisa Barat Ali is a PhD student in the Signal processing group. She is involved in a project on deep learning for medical image analysis and brain tumor diagnosis, a collaboration project between the Signal processing group at Chalmers and the Sahlgrenska University Hospital for medical image analysis using deep learning methods.

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Showing 3 publications


Introduction to Deep Learning in Clinical Neuroscience (accepted)

Eddie de Dios, Muhaddisa Barat Ali, Irene Yu-Hua Gu et al
Machine Learning in Clinical Neuroscience: Foundations and Applications (to appear, in Springer Nature book)
Book chapter

Domain Mapping and Deep Learning from Multiple MRI Clinical Datasets for Prediction of Molecular Subtypes in Low Grade Gliomas

Muhaddisa Barat Ali, Irene Yu-Hua Gu, MS Berger et al
Brain Sciences. Vol. 10 (7)
Journal article

Multi-stream Convolutional Autoencoder and 2D Generative Adversarial Network for Glioma Classification

Muhaddisa Barat Ali, Irene Yu-Hua Gu, Asgeir Store Jakola
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 11678 LNCS, p. 234-245
Paper in proceedings

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