Mariano Cabezas

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Macquarie University

Australia

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Recent Grants

Grant: Close

Juan de la Cierva-incorporación (IJCI-2016- 29240) fellowship grant

Open Date: 2018-01-01

Close Date: 2019-12-01

Grant: Close

BNeques per a estades de recerca a l'esntrager BE2010

Open Date: 2010-09-01

Close Date: 2011-03-01

Grant: Close

ECTRIMS-MAGNIMS fellowship grant

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Articles (11)

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2025

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2024

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2024

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2024

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2024

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2023

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2023

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2023

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2023

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2023

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2023

Collaborators (10)

Paddy Slator

Lecturer

Cardiff University

UNITED KINGDOM

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Rebecca Mitchell

Macquarie University

AUSTRALIA

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Matthew Crossley

Macquarie University

AUSTRALIA

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William Brown

University of Cambridge

UNITED KINGDOM

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Yago Diez Donoso

Associate Professor

Yamagata University

JAPAN

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Alexander Klistorner

Macquarie University

AUSTRALIA

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Diana Tang

Macquarie University

AUSTRALIA

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Kompal Sinha

Macquarie University

AUSTRALIA

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Md Nasir Uddin

Assistant Professor

University of Rochester

UNITED STATES

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Dongnan Liu

University of Sydney

AUSTRALIA

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Mariano Cabezas

Research Interests

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Contact this professor

Recent Grants

Articles (11)

A protocol for the HEaring Impairment Data Infrastructure (HEIDI) study

Sub-alpine shrub classification using UAV images: Performance of human observers vs DL classifiers

An Analysis of Loss Functions for Heavily Imbalanced Lesion Segmentation

A benchmark for 2D foetal brain ultrasound analysis

Improving multiple sclerosis lesion segmentation across clinical sites: A federated learning approach with noise-resilient training

Validation of deep learning techniques for quality augmentation in diffusion MRI for clinical studies

Multiple sclerosis lesion segmentation: revisiting weighting mechanisms for federated learning

High angular diffusion tensor imaging estimation from minimal evenly distributed diffusion gradient directions

A real-world clinical validation for AI-based MRI monitoring in multiple sclerosis

Deep learning distinguishes connectomes from focal epilepsy patients and controls: feasibility and clinical implications

Learning from pseudo-labels: deep networks improve consistency in longitudinal brain volume estimation

Collaborators (10)

Paddy Slator

Rebecca Mitchell

Matthew Crossley

William Brown

Yago Diez Donoso

Alexander Klistorner

Diana Tang

Kompal Sinha

Md Nasir Uddin

Dongnan Liu

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