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TorchEsegeta: Framework for Interpretability and Explainability of Image-Based Deep Learning Models
Chatterjee, Soumick, Das, Arnab, Mandal, Chirag, Mukhopadhyay, Budhaditya, Vipinraj, Manish, Shukla, Aniruddh, Nagaraja Rao, Rajatha, Sarasaen, Chompunuch, Speck, Oliver, Nürnberger, Andreas
Published in Applied sciences (01.02.2022)
Published in Applied sciences (01.02.2022)
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Multi-modal deep learning of functional and structural neuroimaging and genomic data to predict mental illness
Rahaman, Md Abdur, Chen, Jiayu, Fu, Zening, Lewis, Noah, Iraji, Armin, Calhoun, Vince D.
Published in 2021 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (01.11.2021)
Published in 2021 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (01.11.2021)
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Whole MILC: generalizing learned dynamics across tasks, datasets, and populations
Mahmood, Usman, Rahman, Md Mahfuzur, Fedorov, Alex, Lewis, Noah, Fu, Zening, Calhoun, Vince D, Plis, Sergey M
Published in arXiv.org (18.06.2021)
Published in arXiv.org (18.06.2021)
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Mapping introspection’s blind spot: Reconstruction of dual-task phenomenology using quantified introspection
Marti, Sébastien, Sackur, Jérôme, Sigman, Mariano, Dehaene, Stanislas
Published in Cognition (01.05.2010)
Published in Cognition (01.05.2010)
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