Neil P. Oxtoby | DeepAI

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∙ 08/10/2023

A coupled-mechanisms modelling framework for neurodegeneration

Computational models of neurodegeneration aim to emulate the evolving pa...

0 Tiantian He, et al. ∙

∙ 05/02/2023

Expectation Maximization Pseudo Labelling for Segmentation with Limited Annotations

We study pseudo labelling and its generalisation for semi-supervised seg...

0 Mou-Cheng Xu, et al. ∙

∙ 08/08/2022

Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi-Supervised Segmentation

This paper concerns pseudo labelling in segmentation. Our contribution i...

47 Mou-Cheng Xu, et al. ∙

∙ 03/19/2022

Learning Morphological Feature Perturbations for Calibrated Semi-Supervised Segmentation

We propose MisMatch, a novel consistency-driven semi-supervised segmenta...

0 Mou-Cheng Xu, et al. ∙

∙ 12/15/2021

Ten years of image analysis and machine learning competitions in dementia

Machine learning methods exploiting multi-parametric biomarkers, especia...

8 Esther E. Bron, et al. ∙

∙ 10/23/2021

MisMatch: Learning to Change Predictive Confidences with Attention for Consistency-Based, Semi-Supervised Medical Image Segmentation

The lack of labels is one of the fundamental constraints in deep learnin...

0 Mou-Cheng Xu, et al. ∙

∙ 02/09/2020

The Alzheimer's Disease Prediction Of Longitudinal Evolution (TADPOLE) Challenge: Results after 1 Year Follow-up

We present the findings of "The Alzheimer's Disease Prediction Of Longit...

0 Razvan V. Marinescu, et al. ∙

∙ 01/23/2020

TADPOLE Challenge: Accurate Alzheimer's disease prediction through crowdsourced forecasting of future data

The TADPOLE Challenge compares the performance of algorithms at predicti...

0 Razvan V. Marinescu, et al. ∙

∙ 12/03/2019

Degenerative Adversarial NeuroImage Nets for 3D Simulations: Application in Longitudinal MRI

The recent success of deep learning together with the availability of la...

43 Daniele Ravì, et al. ∙

∙ 07/05/2019

Degenerative Adversarial NeuroImage Nets: Generating Images that Mimic Disease Progression

Simulating images representative of neurodegenerative diseases is import...

4 Daniele Ravì, et al. ∙

∙ 05/26/2019

ABCD Neurocognitive Prediction Challenge 2019: Predicting individual residual fluid intelligence scores from cortical grey matter morphology

We predicted residual fluid intelligence scores from T1-weighted MRI dat...

0 Neil P. Oxtoby, et al. ∙

∙ 05/26/2019

ABCD Neurocognitive Prediction Challenge 2019: Predicting individual fluid intelligence scores from structural MRI using probabilistic segmentation and kernel ridge regression

We applied several regression and deep learning methods to predict fluid...

0 Agoston Mihalik, et al. ∙

∙ 01/11/2019

DIVE: A spatiotemporal progression model of brain pathology in neurodegenerative disorders

Here we present DIVE: Data-driven Inference of Vertexwise Evolution. DIV...

0 Razvan V. Marinescu, et al. ∙

∙ 01/11/2019

Disease Knowledge Transfer across Neurodegenerative Diseases

We introduce Disease Knowledge Transfer (DKT), a novel technique for tra...

0 Razvan V. Marinescu, et al. ∙

∙ 05/10/2018

TADPOLE Challenge: Prediction of Longitudinal Evolution in Alzheimer's Disease

The Alzheimer's Disease Prediction Of Longitudinal Evolution (TADPOLE) C...

0 Razvan V. Marinescu, et al. ∙

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