The alzheimer's disease prediction of longitudinal evolution (TADPOLE) challenge: Results after 1 year follow-up

RV Marinescu, NP Oxtoby, AL Young, EE Bron… - arXiv preprint arXiv …, 2020 - arxiv.org
results of the TADPOLE Challenge and documents its key findings. We summarise the
challenge design and present the results of the 92 prediction … the results obtained by TADPOLE

TADPOLE challenge: prediction of longitudinal evolution in Alzheimer's disease

RV Marinescu, NP Oxtoby, AL Young, EE Bron… - arXiv preprint arXiv …, 2018 - arxiv.org
… design of the TADPOLE Challenge. Keywords: Alzheimer’s disease, Disease prediction,
Community … We plan to publish the results on the website in January 2019, and then submit a …

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

RV Marinescu, NP Oxtoby, AL Young, EE Bron… - Predictive Intelligence in …, 2019 - Springer
… ; the D2 longitudinal prediction set contains all … results of TADPOLE Challenge, which aims
to identify algorithms and features that can best predict the evolution of Alzheimer’s disease. …

Predicting Alzheimer's disease progression: results from the TADPOLE challenge: neuroimaging: neuroimaging predictors of cognitive decline

RV Marinescu, EE Bron, NP Oxtoby… - Alzheimer's & …, 2020 - Wiley Online Library
… of The Alzheimer's Disease Prediction Of Longitudinal Evolution (TADPOLE) Challenge, …
1) from 33 international teams at predicting the future trajectory of 219 individuals at risk of …

[HTML][HTML] Explainable AI toward understanding the performance of the top three TADPOLE Challenge methods in the forecast of Alzheimer's disease diagnosis

M Hernandez, U Ramon-Julvez, F Ferraz… - PloS one, 2022 - journals.plos.org
… for performing diagnosis and predicting disease evolution [11, 12]… The results of the TADPOLE
Challenge were revealing and … longitudinal dataset provided by the TADPOLE Challenge

[HTML][HTML] Predicting Alzheimer's disease progression using deep recurrent neural networks

…, BTT Yeo, Alzheimer's Disease Neuroimaging Initiative - NeuroImage, 2020 - Elsevier
… By contrast, our goal is the longitudinal prediction of clinical … recommended by the TADPOLE
challenge, which included … Because we discarded some test subjects, the result of this …

[HTML][HTML] Deep recurrent model for individualized prediction of Alzheimer's disease progression

…, HI Suk, Alzheimer's Disease Neuroimaging Initiative - NeuroImage, 2021 - Elsevier
Alzheimers Disease Prediction Of Longitudinal Evolution (… multiple time points prediction
results between our proposed … In this work, we used the TADPOLE longitudinal cohort 3 from …

Feature Selection to Forecast Cognitive Decline Using Multimodal Alzheimer's Disease Models

B Sauty, E Maheux, S Durrleman - 2023 - hal.science
… all benchmarked methods in the TADPOLE challenge, with increasing performance as various
… The alzheimer’s disease prediction of longitudinal evolution (tadpole) challenge: Results

Modeling and Prediction of Alzheimer's Disease Progression

S Smailova - 2021 - er.ucu.edu.ua
results of The Alzheimer’s Disease Prediction Of Longitudinal Evolution (TADPOLE)
Challenge, which summarized the outputs of 90 algorithms of the cognitive scores predictions was …

Predicting neural deterioration in patients with alzheimer's disease using a convolutional neural network

HM Tavakoli, T Xie, J Shi… - … on Bioinformatics and …, 2020 - ieeexplore.ieee.org
challenge competition, The Alzheimer’s Disease Prediction Of Longitudinal Evolution (TADPOLE
ventricle volume prediction, we have examined the results in the TADPOLE competition…