| Neonatal sepsis prediction through clinical decision support algorithms: A systematic review E Persad, K Jost, A Honoré, D Forsberg, K Coste, H Olsson, S Rautiainen, ... Acta Paediatrica 110 (12), 3201-3226, 2021 | 38 | 2021 |
| Powering hidden markov model by neural network based generative models D Liu, A Honoré, S Chatterjee, LK Rasmussen ECAI 2020, 1324-1331, 2020 | 23 | 2020 |
| Vital sign‐based detection of sepsis in neonates using machine learning A Honoré, D Forsberg, K Adolphson, S Chatterjee, K Jost, E Herlenius Acta Paediatrica 112 (4), 686-696, 2023 | 14 | 2023 |
| Hidden Markov Models for sepsis detection in preterm infants A Honoré, D Liu, D Forsberg, K Coste, E Herlenius, S Chatterjee, ... ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 13 | 2020 |
| DANSE: Data-driven non-linear state estimation of model-free process in unsupervised learning setup A Ghosh, A Honoré, S Chatterjee IEEE Transactions on Signal Processing, 2024 | 10 | 2024 |
| Classification and feature extraction for neonatal sepsis detection A Honoré, D Forsberg, K Jost, K Adolphson, A Stĺlhammar, E Herlenius, ... Authorea Preprints, 2023 | 8 | 2023 |
| Robust Classification Using Hidden Markov Models and Mixtures of Normalizing Flows A Ghosh, A Honoré, D Liu, GE Henter, S Chatterjee 2020 IEEE 30th International Workshop on Machine Learning for Signal …, 2020 | 6 | 2020 |
| Normalizing Flow based Hidden Markov Models for Classification of Speech Phones with Explainability A Ghosh, A Honoré, D Liu, GE Henter, S Chatterjee arXiv preprint arXiv:2107.00730, 2021 | 3 | 2021 |
| Large Neural Network Based Detection of Apnea, Bradycardia and Desaturation Events A Honoré, V Siljehav, S Chatterjee, E Herlenius arXiv preprint arXiv:1711.06484, 2017 | 3 | 2017 |
| Machine learning for neonatal early warning signs A Honoré | 2 | 2017 |
| Weight a minute: The smaller and more immature, the more predictable the autonomic regulation? AM Stĺlhammar, A Honoré, K Adolphson, D Forsberg, E Herlenius, K Jost Acta Paediatrica 112 (7), 1443-1452, 2023 | 1 | 2023 |
| An LSTM-based Recurrent Neural Network for Neonatal Sepsis Detection in Preterm Infants A Honoré, H Siren, R Vinuesa, S Chatterjee, E Herlenius 2022 IEEE Signal Processing in Medicine and Biology Symposium (SPMB), 1-6, 2022 | 1 | 2022 |
| Deep Recurrent Architectures for Neonatal Sepsis Detection from Vital Signs Data A Honoré, H Siren, R Vinuesa, S Chatterjee, E Herlenius Machine Learning Applications in Medicine and Biology, 115-149, 2024 | | 2024 |
| DANSE: Data-Driven Non-Linear State Estimation of Model-Free Process in Unsupervised Bayesian Setup A Ghosh, A Honoré, S Chatterjee 2023 31st European Signal Processing Conference (EUSIPCO), 870-874, 2023 | | 2023 |
| Compressed Sensing of Generative Sparse-Latent (GSL) Signals A Honoré, A Ghosh, S Chatterjee 2023 31st European Signal Processing Conference (EUSIPCO), 1918-1922, 2023 | | 2023 |
| Perspectives of Deep Learning for Neonatal Sepsis Detection A Honoré KTH Royal Institute of Technology, 2023 | | 2023 |
| AIM in Neonatal and Pediatric Intensive Care D Forsberg, A Honoré, K Jost, E Persad, K Coste, S Chatterjee, ... Artificial Intelligence in Medicine, 1047-1056, 2022 | | 2022 |
| AI and Dynamic Prediction of Deterioration in Covid-19 C Danker, M Murzabekov, D Forsberg, N Lidströmer, A Honoré, ... Artificial Intelligence in Covid-19, 257-277, 2022 | | 2022 |
| Medications and clinical decision support systems; how caffeine influences heart rate characteristics in preterm infants A Clareus, A Honore, G Koch, E Herlenius, K Jost Pediatric Research 90 (SUPPL 1), 13-14, 2021 | | 2021 |
| Body weight measurements support machine-learning algorithms in neonatal sepsis prediction AM Stĺlhammar, K Adolphson, A Honoré, D Forsberg, E Herlenius, K Jost Pediatric Research 90 (SUPPL 1), 22-22, 2021 | | 2021 |
