Photoplethysmogram based vascular aging assessment using the deep convolutional neural network

by Choi, B.-M, Noh, G., Shin, H.
Published 2022

Neural network diagnostic system for dengue patients risk classification

by Faisal, T., Ibrahim, F., Taib, M.N

Mechanisms for handling nested dependencies in neural-network language models and humans

by Baroni, M., Dehaene, S., Hupkes, D., Lakretz, Y., Marelli, M., Vergallito, A.
Published 2021

Automatic Respiratory Event Scoring in Obstructive Sleep Apnea Using a Long Short-Term Memory Neural Network

by Duce, B., Korkalainen, H., Leino, A., Leppanen, T., Myllymaa, S., Nikkonen, S., Toyras, J.
Published 2021

Deep reasoning neural network analysis to predict language deficits from psychometry-driven DWI connectome of young children with persistent language concerns

by Banerjee, S., Behen, M., Dong, M., Jeong, J.-W, Juhász, C., Lee, M.-H, O'Hara, N.
Published 2021

Deep learning for differentiating benign from malignant tumors on breast-specific gamma image

by Dong, M., Ma, L., Wang, H., Wang, L., Yang, D., Yu, X.
Published 2023

Machine learning accurately classifies neural responses to rhythmic speech vs. non-speech from 8-week-old infant EEG

by Ahmed, H., Attaheri, A., Boutris, P., Brusini, P., Flanagan, S., Gibbon, S., Goswami, U., Keshavarzi, M., Mandke, K., Mead, N., Ní Choisdealbha, Á, Olawole-Scott, H., Rocha, S.
Published 2021

Use of a Neural Net to Model the Impact of Optical Coherence Tomography Abnormalities on Vision in Age-related Macular Degeneration

by Ahmad, N.A, Ali, Z.C, Aslam, T.M, Balaskas, K., Mahmood, S., Thorell, M.R, Zaki, H.R
Published 2018

Development and Validation of Artificial Intelligence– based Method for Diagnosis of Mitral Regurgitation from Chest Radiographs

by Abo, K., Ehara, S., Iwata, S., Matsumoto, T., Miki, Y., Shimazaki, A., Ueda, D., Walston, S.L, Yamamoto, A., Yoshiyama, M.
Published 2022

High resolution automated labeling of the hippocampus and amygdala using a 3D convolutional neural...

by Antony, A.R, Bagić, A.I, Devinsky, O., Friedman, D., Hetherington, H., Pan, J., Pardoe, H.R, Shepherd, T.M
Published 2021

Integrated Clinical and CT Based Artificial Intelligence Nomogram for Predicting Severity and Need...

by Alilou, M., Armitage, K., Bera, K., Fu, P., Furin, J., Gilkeson, R., Gupta, A., Hiremath, A., Ji, M., Lu, C., Madabhushi, A., Vaidya, P., Yuan, L.
Published 2021

Point-of-care screening for heart failure with reduced ejection fraction using artificial...

by Ali, A., Alquero, R., Bachtiger, P., Bual, N., Cheung, W.-S, Dumea, B., Fragoyannis, A., Hatrick, I.R, Keene, D., Kelshiker, M.A, Kramer, D.B, Padam, P.S, Peters, N.S, Petri, C.F, Plymen, C.M, Rana, B., Ri Park, S., Ribeiro, M., Sahemey, H.K, Scott, F.E, Shun-Shin, M.
Published 2022

A Combinatorial Deep Learning Structure for Precise Depth of Anesthesia Estimation from EEG Signals

by Afshar, S., Boostani, R., Sanei, S.
Published 2021

Development and Validation of an AI-driven Mammographic Breast Density Classification Tool Based on Radiologist Consensus

by Alì, M., Azzena, A.A, Capra, D., Carriero, S., Castiglioni, I., Cozzi, A., Della Pepa, G., Fazzini, D., Granata, G., Interlenghi, M., Magni, V., Monti, C.B, Muscogiuri, G., Papa, S., Pellegrino, G., Salvatore, C., Sardanelli, F., Schiaffino, S.
Published 2022

Crowdsourced identification of multi-target kinase inhibitors for RET- And TAU- based disease- And Multi-Targeting Drug DREAM Challenge

by Abagyan, R., Allaway, R.J, Cagan, R., Carlson, H.A, Dang, K.K, Das, T.K, Guinney, J., Guo, X., Hecht, C., Jeon, H., Jeon, M., Jiang, H., Kang, J., Ko, M., Lee, J., Park, D., Schlessinger, A., Tan, A.C, Tropsha, A., Xiong, Z., Zheng, M.
Published 2021

The classification of EEG-based winking signals: A transfer learning and random forest pipeline

by Abdul Majeed, A.P.P, Jailani, R., Mahendra Kumar, J.L, Mohd Razman, M.A, Musa, R.M, Rashid, M., Sulaiman, N.
Published 2021

A Deep Learning Approach to Diagnosing Multiple Sclerosis from Smartphone Data

by Karlen, W., Schwab, P.
Published 2021

Predictors for E-Government Adoption of SANAD App Services Integrating UTAUT, TPB, TAM, Trust, and Perceived Risk

by Abu-Taieh, E., Alhadid, I., Alkhawaldeh, R.S, Alrowwad, A., Kaabneh, K., Khwaldeh, S., Masa’deh, R.
Published 2022

Crowdsourcing for Machine Learning in Public Health Surveillance: Lessons Learned From Amazon Mechanical Turk

by Butler, G.P, Hossein Abad, Z.S, Lee, J., Thompson, W.
Published 2022

Estimation and Validation of Arterial Blood Pressure Using Photoplethysmogram Morphology Features in Conjunction with Pulse Arrival Time in Large Open Databases

by Kim, H.C, Lee, J., Lee, S., Sohn, J., Yang, S.
Published 2021