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ORCIDArtificial Intelligence in Medicine, Volume 134
Volume 134, December 2022
- Wafa Mousser, Salima Ouadfel, Abdelmalik Taleb-Ahmed, Ilham Kitouni:
IDT: An incremental deep tree framework for biological image classification. 102392 - Davide Colla
, Matteo Delsanto, Marco Agosto, Benedetto Vitiello, Daniele Paolo Radicioni:
Semantic coherence markers: The contribution of perplexity metrics. 102393 - Sumanta Ray, Snehalika Lall, Anirban Mukhopadhyay, Sanghamitra Bandyopadhyay, Alexander Schönhuth:
Deep variational graph autoencoders for novel host-directed therapy options against COVID-19. 102418 - Jiale Jiang, Junchuan Peng, Chuting Hu, Wenjing Jian, Xianming Wang, Weixiang Liu:
Breast cancer detection and classification in mammogram using a three-stage deep learning framework based on PAA algorithm. 102419 - Mohammad Mehdi Naseri, Shima Tabibian, Elaheh Homayounvala:
Adaptive and personalized user behavior modeling in complex event processing platforms for remote health monitoring systems. 102421 - Amir Arslan Haghrah, Sehraneh Ghaemi, Mohammad Ali Badamchizadeh:
Fuzzy-SIRD model: Forecasting COVID-19 death tolls considering governments intervention. 102422 - Degan Hao, Qiong Li, Qiuxia Feng, Liang Qi, Xisheng Liu, Dooman Arefan, Yu-Dong Zhang, Shandong Wu:
SurvivalCNN: A deep learning-based method for gastric cancer survival prediction using radiological imaging data and clinicopathological variables. 102424 - Jordan J. Bannister, Matthias Wilms, J. David Aponte, David C. Katz, Ophir D. Klein, Francois P. J. Bernier, Richard A. Spritz, Benedikt Hallgrímsson, Nils D. Forkert:
Detecting 3D syndromic faces as outliers using unsupervised normalizing flow models. 102425 - Hatice Catal Reis, Veysel Turk:
COVID-DSNet: A novel deep convolutional neural network for detection of coronavirus (SARS-CoV-2) cases from CT and Chest X-Ray images. 102427 - Samer Muthana Sarsam, Hosam Al-Samarraie, Ahmed Ibrahim Alzahrani, Abdul Samad Shibghatullah:
A non-invasive machine learning mechanism for early disease recognition on Twitter: The case of anemia. 102428 - Vlad-Rares Danaila, Speranta Avram, Catalin Buiu:
The applications of machine learning in HIV neutralizing antibodies research - A systematic review. 102429 - Tasquia Mizan, Sharareh Taghipour:
Medical resource allocation planning by integrating machine learning and optimization models. 102430
- Anand Motwani, Piyush Kumar Shukla, Mahesh Kumar Pawar:
Ubiquitous and smart healthcare monitoring frameworks based on machine learning: A comprehensive review. 102431
- Yuta Tokuoka, Takahiro G. Yamada, Daisuke Mashiko, Zenki Ikeda, Tetsuya J. Kobayashi, Kazuo Yamagata, Akira Funahashi:
An explainable deep learning-based algorithm with an attention mechanism for predicting the live birth potential of mouse embryos. 102432 - Guangli Li, Chuanxiu Li, Guangting Wu, Guangxin Xu, Ying Zhou, Hongbin Zhang:
MF-OMKT: Model fusion based on online mutual knowledge transfer for breast cancer histopathological image classification. 102433 - Gerhardus A. W. M. van Hulzen, Chiao-Yun Li, Niels Martin, Sebastiaan J. van Zelst, Benoît Depaire:
Mining context-aware resource profiles in the presence of multitasking. 102434 - Sourav Halder, Jun Yamasaki, Shashank Acharya, Wenjun Kou, Guy Elisha, Dustin A. Carlson, Peter J. Kahrilas, John E. Pandolfino, Neelesh A. Patankar:
Virtual disease landscape using mechanics-informed machine learning: Application to esophageal disorders. 102435 - Sayyar Ahmad, Aleix Beneyto, Iván Contreras, Josep Vehí:
Bolus Insulin calculation without meal information. A reinforcement learning approach. 102436 - Raphaela Butz, Renée Schulz, Arjen Hommersom, Marko C. J. D. van Eekelen:
Investigating the understandability of XAI methods for enhanced user experience: When Bayesian network users became detectives. 102438 - Sicen Liu, Xiaolong Wang, Yang Xiang, Hui Xu, Hui Wang, Buzhou Tang:
CATNet: Cross-event attention-based time-aware network for medical event prediction. 102440
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