Benchmark on automatic six-month-old infant brain segmentation algorithms: the iSeg-2017 challenge L Wang, D Nie, G Li, É Puybareau, J Dolz, Q Zhang, F Wang, J Xia, Z Wu, ... IEEE transactions on medical imaging 38 (9), 2219-2230, 2019 | 194 | 2019 |
A molecular gradient along the longitudinal axis of the human hippocampus informs large-scale behavioral systems J Vogel, R La Joie, M Grothe, A Diaz-Papkovich, A Doyle, ... Nature Communications, 2019 | 138 | 2019 |
A survey of crowdsourcing in medical image analysis S Ørting, A Doyle, A van Hilten, M Hirth, O Inel, CR Madan, P Mavridis, ... Human Computation 7 (1.1), 1-26, 2020 | 80 | 2020 |
The alzheimer's disease prediction of longitudinal evolution (TADPOLE) challenge: Results after 1 year follow-up RV Marinescu, NP Oxtoby, AL Young, EE Bron, AW Toga, MW Weiner, ... Machine Learning for Biomedical Imaging 1 (December 2021), 1-60, 2021 | 57 | 2021 |
Brainhack: Developing a culture of open, inclusive, community-driven neuroscience R Gau, S Noble, K Heuer, KL Bottenhorn, IP Bilgin, YF Yang, ... Neuron 109 (11), 1769-1775, 2021 | 39 | 2021 |
A low-cost, semi-autonomous wheelchair controlled by motor imagery and jaw muscle activation M Xiong, R Hotter, D Nadin, J Patel, S Tartakovsky, Y Wang, H Patel, ... 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC …, 2019 | 23 | 2019 |
Predicting future disease activity and treatment responders for multiple sclerosis patients using a bag-of-lesions brain representation A Doyle, D Precup, DL Arnold, T Arbel Medical Image Computing and Computer Assisted Intervention− MICCAI 2017 …, 2017 | 20 | 2017 |
Lesion detection, segmentation and prediction in multiple sclerosis clinical trials A Doyle, C Elliott, Z Karimaghaloo, N Subbanna, DL Arnold, T Arbel Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2018 | 14 | 2018 |
What Colour is Neural Noise? JA Doyle, AC Evans arXiv preprint arXiv:1806.03704, 2018 | 12 | 2018 |
A molecular gradient along the longitudinal axis of the human hippocampus informs large-scale behavioral systems. Nat. Commun. 11, 960 JW Vogel, R La Joie, MJ Grothe, A Diaz-Papkovich, A Doyle, ... | 6 | 2020 |
NeuroMTL iSEG challenge methods VS Fonov, A Doyle, AC Evans, DL Collins bioRxiv, 278465, 2018 | 5 | 2018 |
The Alzheimer’s disease prediction of longitudinal evolution (TADPOLE) challenge: results after 1 year follow-up RV Marinescu, NP Oxtoby, AL Young, EE Bron, AW Toga, MW Weiner, ... ArXiv Preprint ArXiv, 2002 | 3 | 2002 |
Convolutional neural network-based tissue-type segmentation of brain histology images R Pizarro, T Ashfaq, A Shmuel | | 2022 |
A Survey of Crowdsourcing in Medical Image Analysis A Doyle, A van Hilten, M Hirth, O Inel, CR Madan, DP Mavridis, H Spiers, ... Human Computation 7 (1), 2020 | | 2020 |
Amplifying the Neural Power Spectrum JA Doyle, PJ Toussaint, AC Evans bioRxiv, 659268, 2019 | | 2019 |
CBRAIN as a platform for Open Science A Doyle, P Rioux, N Beck, T Aumentado-Armstrong, S Das, ME Rousseau, ... Human Brain Mapping, 2017 | | 2017 |
Probabilistic patient grouping and prediction of Multiple Sclerosis disease activity based on a Bag of Lesions brain image representation A Doyle McGill University (Canada), 2016 | | 2016 |
Cranes: Classifying Images of Birds and Construction Equipment A Zandifar, N Nakhla, A Doyle | | |