Basal Glucose Control in Type 1 Diabetes Using Deep Reinforcement Learning: An in Silico Validation

by Georgiou, P., Herrero, P., Li, K., Zhu, T.
Published 2021

User-Intended Doppler Measurement Type Prediction Combining CNNs with Smart Post-Processing

by Aase, S.A, Babic, A., Eikvil, L., Gilbert, A., Holden, M., McLeod, K., Rakhmail, M., Samset, E.
Published 2021

Multiscale Attention Guided Network for COVID-19 Diagnosis Using Chest X-Ray Images

by Jin, Q., Li, J., Liu, J., Sun, L., Wang, J., Wang, S., Wang, Y.
Published 2021

Impact of Artificial Intelligence News Source Credibility Identification System on Effectiveness of Media Literacy Education

by Chiang, T.H.C, Liao, C.-S, Wang, W.-C
Published 2022

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

Low-Power Detection and Classification for In-Sensor Predictive Maintenance Based on Vibration Monitoring

by Benedetto, L.D, De Vita, A., Licciardo, G.D, Pau, D., Vitolo, P.
Published 2022

A Robust Interpretable Deep Learning Classifier for Heart Anomaly Detection without Segmentation

by Denman, S., Dissanayake, T., Fernando, T., Fookes, C., Ghaemmaghami, H., Sridharan, S.
Published 2021

Predicting environmentally responsive transgenerational differential DNA methylated regions (epimutations) in the genome using a hybrid deep-machine learning approach

by Beck, D., Holder, L., Mavaie, P., Skinner, M.K
Published 2021

A Lightweight CNN Model for Detecting Respiratory Diseases from Lung Auscultation Sounds Using EMD-CWT-Based Hybrid Scalogram

by Ali, S.N, Bhuiyan, M.I.H, Hasan, T., Shuvo, S.B, Swapnil, S.I
Published 2021

Opportunities and challenges in machine learning-based newborn screening—A systematic literature review

by Garbade, S.F, Haupt, S., Heuveline, V., Kölker, S., Mütze, U., Zaunseder, E.
Published 2022

An MR-only acquisition and artificial intelligence based image-processing protocol for photon and proton therapy using a low field MR

by Buschmann, M., Georg, D., Goldner, G., Heilemann, G., Herrmann, H., Kuess, P., Nesvacil, N., Nyholm, T., Zimmermann, L.
Published 2021

Partitioning variability in animal behavioral videos using semi-supervised variational autoencoders

by Biderman, D., Bonacchi, N., Buchanan, E.K, Cunningham, J.P, Dipoppa, M., Friedman, Y., Miska, N.J, Noel, J.-P, Paninski, L., Rodriguez, E., Salzman, C.D, Schartner, M., Socha, K., The International Brain Laboratory, Urai, A.E, Whiteway, M.R, Wu, A., Zhou, J.
Published 2021

Self-Learning for Weakly Supervised Gleason Grading of Local Patterns

by Colomer, A., Dolz, J., Naranjo, V., Silva-Rodriguez, J.
Published 2021

Deep Learning Methods for Lung Cancer Segmentation in Whole-Slide Histopathology Images - The ACDC@LungHP Challenge 2019

by Chen, H., Chen, Y.-C, Hong, Y., Jiang, Y., Jung, H., Khanagha, V., Ko, J., Lee, B., Li, D., Li, N., Li, Y., Li, Z., Litjens, G., Liu, L., Liu, Y., Liu, Z., Maevskikh, P., Schuffler, P.J, Sun, S., Sun, X., Tan, T., Tang, Y., Teng, X., Wang, C.-W, Xiao, Y., Yan, J., Yu, L., Yu, Q., Yurovskiy, V., Zhang, J., Zhang, Q., Zhao, H., Zheng, Y.
Published 2021

Zero-Padding and Spatial Augmentation-Based Gas Sensor Node Optimization Approach in Resource-Constrained 6G-IoT Paradigm

by Almalki, F.A, Alsamhi, S.H, Chaudhri, S.N, Rajput, N.S, Shvetsov, A.V
Published 2022

Zero-Padding and Spatial Augmentation-Based Gas Sensor Node Optimization Approach in Resource-Constrained 6G-IoT Paradigm

by Almalki, F.A, Alsamhi, S.H, Chaudhri, S.N, Rajput, N.S, Shvetsov, A.V
Published 2022

Proceedings of the Ninth Annual Deep Brain Stimulation Think Tank: Advances in Cutting Edge Technologies, Artificial Intelligence, Neuromodulation, Neuroethics, Pain, Interventional Psychiatry, Epilepsy...

by Alagapan, S., Anso, J., Bergman, H., Bokil, H., Bronte-Stewart, H.M, Butson, C.R, Cha, J., Choi, K., Deuschl, G., DiEuliis, D., Doughtery, D.D, Foote, K.D, Gilron, R., Giordano, J.J, Green, D., Groppa, S., Hattori, N., Heisig, S., Henderson, J.M, Judy, J.W, Kalamangalam, G.P, Kamo, H., Kaufman, S.B, Kehnemouyi, Y., Lambert, E., Li, L., Little, S., Mayberg, H.S, Miller, K.J, Muthuraman, M., Obatusin, M., Okun, M.S, Opri, E., Oyama, G., Petrucci, M.N, Poree, L., Raike, R.S, Ramirez-Zamora, A., Rozell, C.J, Schiff, N.D, Sekimoto, S., Sheth, S.A, Shirvalkar, P., Shook, J.R, Silburn, P.A, Starr, P.A, Widge, A.S, Wilkins, K.B, Wolke, R., Wong, J.K, Worrell, G.A
Published 2022

Temporal and Locational Values of Images Affecting the Deep Learning of Cancer Stem Cell Morphology

by Hanai, Y., Ishihata, H., Kameda, H., Kasai, T., Maruyama, R., Sugiyama, T., Zhang, Z.
Published 2022

Multimodal Spatial Attention Module for Targeting Multimodal PET-CT Lung Tumor Segmentation

by Bi, L., Fu, X., Fulham, M., Kim, J., Kumar, A.
Published 2021

Performance of Deep Learning Models in Forecasting Gait Trajectories of Children with Neurological Disorders

by Al-Hares, M.K, Kolaghassi, R., Marcelli, G., Sirlantzis, K.
Published 2022