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Publication search results
found 22 matches
- 2024
- Harsh Agarwal, Heena Rathore:
BGRL: Basal Ganglia inspired Reinforcement Learning based framework for deep brain stimulators. Artif. Intell. Medicine 147: 102736 (2024) - Markus Bertl, Nzamba Bignoumba, Peeter Ross, Sadok Ben Yahia, Dirk Draheim:
Evaluation of deep learning-based depression detection using medical claims data. Artif. Intell. Medicine 147: 102745 (2024) - Balázs Borsos, Corinne G. Allaart, Aart van Halteren:
Predicting stroke outcome: A case for multimodal deep learning methods with tabular and CT Perfusion data. Artif. Intell. Medicine 147: 102719 (2024) - Lucas Pereira Carlini, Gabriel de Almeida Sá Coutrin, Leonardo Antunes Ferreira, Juliana do Carmo Azevedo Soares, Giselle V. T. Silva, Tatiany Marcondes Heideirich, Rita C. X. Balda, Marina Carvalho de Moraes Barros, Ruth Guinsburg, Carlos Eduardo Thomaz:
Human vs machine towards neonatal pain assessment: A comprehensive analysis of the facial features extracted by health professionals, parents, and convolutional neural networks. Artif. Intell. Medicine 147: 102724 (2024) - Haifan Chen, Pufan Liu, Zhaoxing Chen, Qingxiao Chen, Zaiwen Wen, Ziqing Xie:
Predicting sequenced dental treatment plans from electronic dental records using deep learning. Artif. Intell. Medicine 147: 102734 (2024) - Aziliz Cottin, Marine Zulian, Nicolas Pécuchet, Agathe Guilloux, Sandrine Katsahian:
MS-CPFI: A model-agnostic Counterfactual Perturbation Feature Importance algorithm for interpreting black-box Multi-State models. Artif. Intell. Medicine 147: 102741 (2024) - Yili Feng, Ruisen Fu, Hao Sun, Xue Wang, Yang Yang, Chuanqi Wen, Yaodong Hao, Yutong Sun, Bao Li, Na Li, Haisheng Yang, Quansheng Feng, Jian Liu, Zhuo Liu, Liyuan Zhang, Youjun Liu:
Non-invasive fractional flow reserve derived from reduced-order coronary model and machine learning prediction of stenosis flow resistance. Artif. Intell. Medicine 147: 102744 (2024) - Xue Feng, Siyi Zhu, Yanfei Shen, Huaiping Zhu, Molei Yan, Guolong Cai, Gangmin Ning:
Multi-organ spatiotemporal information aware model for sepsis mortality prediction. Artif. Intell. Medicine 147: 102746 (2024) - Nuno R. Freitas, Pedro M. Vieira, Catarina Tinoco, Sara Anacleto, Jorge F. Oliveira, A. Ismael F. Vaz, M. Pilar Laguna, Estevão Lima, Carlos S. Lima:
Multiple mask and boundary scoring R-CNN with cGAN data augmentation for bladder tumor segmentation in WLC videos. Artif. Intell. Medicine 147: 102723 (2024) - AbdelMoniem Helmy, Radwa Nassar, Nagy Ramdan:
Depression detection for twitter users using sentiment analysis in English and Arabic tweets. Artif. Intell. Medicine 147: 102716 (2024) - Floris den Hengst, Martijn Otten, Paul W. G. Elbers, Frank van Harmelen, Vincent François-Lavet, Mark Hoogendoorn:
Guideline-informed reinforcement learning for mechanical ventilation in critical care. Artif. Intell. Medicine 147: 102742 (2024) - Albert Hernansanz, Johanna Parra, Narcís Sayols, Elisenda Eixarch, Eduard Gratacós, Alícia Casals:
Robot assisted Fetoscopic Laser Coagulation: Improvements in navigation, re-location and coagulation. Artif. Intell. Medicine 147: 102725 (2024) - David Hua, Neysa Petrina, Noel Young, Jin-Gun Cho, Simon K. Poon:
Understanding the factors influencing acceptability of AI in medical imaging domains among healthcare professionals: A scoping review. Artif. Intell. Medicine 147: 102698 (2024) - Yutong Li, Jonathan Cardoso-Silva, John M. Kelly, Michael J. Delves, Nicholas Furnham, Lazaros G. Papageorgiou, Sophia Tsoka:
Optimisation-based modelling for explainable lead discovery in malaria. Artif. Intell. Medicine 147: 102700 (2024) - Meiwen Li, Lin Wang, Qingtao Wu, Junlong Zhu, Mingchuan Zhang:
Diagnosis knowledge constrained network based on first-order logic for syndrome differentiation. Artif. Intell. Medicine 147: 102739 (2024) - Zizhu Liu, Qing Cao, Nan Du, Huizhen Shu, Erheng Zhong, Nan Jiang, Qiaoran Chen, Ying Shen, Kang Chen:
FIT-graph: A multi-grained evolutionary graph based framework for disease diagnosis. Artif. Intell. Medicine 147: 102735 (2024) - Qianghua Liu, Yu Tian, Tianshu Zhou, Kewei Lyu, Ran Xin, Yong Shang, Ying Liu, Jingjing Ren, Jingsong Li:
A few-shot disease diagnosis decision making model based on meta-learning for general practice. Artif. Intell. Medicine 147: 102718 (2024) - Jiang Liu, Yihao Xie, Xin Shu, Yuwen Chen, Yizhu Sun, Kunhua Zhong, Hao Liang, Yujie Li, Chunyong Yang, Yan Han, Yuwei Zou, Ziting Zhuyi, Jiahao Huang, Junhong Li, Xiaoyan Hu, Bin Yi:
Value function assessment to different RL algorithms for heparin treatment policy of patients with sepsis in ICU. Artif. Intell. Medicine 147: 102726 (2024) - Mélanie Piot, Frédéric Bertrand, Sébastien Guihard, Jean-Baptiste Clavier, Myriam Maumy:
Bayesian Network structure learning algorithm for highly missing and non imputable data: Application to breast cancer radiotherapy data. Artif. Intell. Medicine 147: 102743 (2024) - Joana Rocha, Sofia Cardoso Pereira, João Pedrosa, Aurélio Campilho, Ana Maria Mendonça:
STERN: Attention-driven Spatial Transformer Network for abnormality detection in chest X-ray images. Artif. Intell. Medicine 147: 102737 (2024) - Xianheng Wang, Veronica Liesaputra, Zhaobin Liu, Yi Wang, Zhiyi Huang:
An in-depth survey on Deep Learning-based Motor Imagery Electroencephalogram (EEG) classification. Artif. Intell. Medicine 147: 102738 (2024) - Liangchen Xu, Chonghui Guo, Mucan Liu:
A weighted distance-based dynamic ensemble regression framework for gastric cancer survival time prediction. Artif. Intell. Medicine 147: 102740 (2024)
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