Electroencephalogram signatures of ketamine anesthesia-induced unconsciousness O Akeju, AH Song, AE Hamilos, KJ Pavone, FJ Flores, EN Brown, ... Clinical neurophysiology 127 (6), 2414-2422, 2016 | 181 | 2016 |
Channel-Attention Dense U-Net for Multichannel Speech Enhancement B Tolooshams, R Giri, AH Song, U Isik, A Krishnaswamy ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 83 | 2020 |
Pharmacological modulation of noradrenergic arousal circuitry disrupts functional connectivity of the locus ceruleus in humans AH Song, A Kucyi, V Napadow, EN Brown, ML Loggia, O Akeju Journal of Neuroscience 37 (29), 6938-6945, 2017 | 82 | 2017 |
Towards a general-purpose foundation model for computational pathology RJ Chen, T Ding, MY Lu, DFK Williamson, G Jaume, AH Song, B Chen, ... Nature Medicine 30 (3), 850-862, 2024 | 51* | 2024 |
GABAA circuit mechanisms are associated with ether anesthesia-induced unconsciousness O Akeju, AE Hamilos, AH Song, KJ Pavone, PL Purdon, EN Brown Clinical Neurophysiology 127 (6), 2472-2481, 2016 | 42 | 2016 |
Artificial intelligence for digital and computational pathology AH Song, G Jaume, DFK Williamson, MY Lu, A Vaidya, TR Miller, ... Nature Reviews Bioengineering 1 (12), 930-949, 2023 | 40 | 2023 |
Bring your own learner: A cloud-based, data-parallel commons for machine learning I Arnaldo, K Veeramachaneni, A Song, UM O'Reilly IEEE Computational Intelligence Magazine 10 (1), 20-32, 2015 | 29 | 2015 |
Convolutional dictionary learning based auto-encoders for natural exponential-family distributions B Tolooshams*, A Song*, S Temereanca, D Ba International Conference on Machine Learning, 9493-9503, 2020 | 26 | 2020 |
Covariance-free sparse Bayesian learning A Lin, AH Song, B Bilgic, D Ba IEEE Transactions on Signal Processing 70, 3818-3831, 2022 | 15 | 2022 |
Convolutional dictionary learning with grid refinement AH Song, FJ Flores, D Ba IEEE Transactions on Signal Processing 68, 2558-2573, 2020 | 11 | 2020 |
Incorporating intratumoral heterogeneity into weakly-supervised deep learning models via variance pooling I Carmichael*, AH Song*, RJ Chen, DFK Williamson, TY Chen, ... International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 10 | 2022 |
Integrating context for superior cancer prognosis G Jaume*, AH Song*, F Mahmood Nature Biomedical Engineering, 2022 | 8 | 2022 |
PLSO: A generative framework for decomposing nonstationary timeseries into piecewise stationary oscillatory components A Song, D Ba, E Brown Uncertainty in Artificial Intelligence (UAI), 2021 | 7 | 2021 |
A Smoother State Space Multitaper Spectrogram AH Song, S Chakravarty, EN Brown 2018 40th Annual International Conference of the IEEE Engineering in …, 2018 | 6 | 2018 |
Analysis of 3D pathology samples using weakly supervised AI AH Song, M Williams, DFK Williamson, SSL Chow, G Jaume, G Gao, ... Cell 187 (10), 2502-2520. e17, 2024 | 5* | 2024 |
Mixture Model Auto-Encoders: Deep Clustering through Dictionary Learning A Lin, AH Song, D Ba ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 5 | 2022 |
Multitaper Infinite Hidden Markov Model for EEG AH Song, L Chlon, H Soulat, J Tauber, S Subramanian, D Ba, MJ Prerau 2019 41st Annual International Conference of the IEEE Engineering in …, 2019 | 5 | 2019 |
Spike sorting by convolutional dictionary learning AH Song, F Flores, D Ba arXiv preprint arXiv:1806.01979, 2018 | 5 | 2018 |
Demographic bias in misdiagnosis by computational pathology models A Vaidya, RJ Chen, DFK Williamson, AH Song, G Jaume, Y Yang, ... Nature Medicine 30 (4), 1174-1190, 2024 | 3 | 2024 |
Morphological prototyping for unsupervised slide representation learning in computational pathology AH Song, RJ Chen, T Ding, DFK Williamson, G Jaume, F Mahmood Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 3 | 2024 |