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Artificial Intelligence in Medicine, Volume 107
Volume 107, July 2020
- Cyntia Eico Hayama Nishida, Reinaldo Augusto da Costa Bianchi, Anna Helena Reali Costa:
A framework to shift basins of attraction of gene regulatory networks through batch reinforcement learning. 101853
- Dongxiao Gu, Kaixiang Su, Huimin Zhao:
A case-based ensemble learning system for explainable breast cancer recurrence prediction. 101858
- Vahé Asvatourian, Philippe Leray, Stefan Michiels, Emilie Lanoy:
Integrating expert's knowledge constraint of time dependent exposures in structure learning for Bayesian networks. 101874 - Mireia Vilardell, Maria Buxó, Ramon Clèries, José Miguel Martínez, Gemma Garcia, Alberto Ameijide, Rebeca Font, Sergi Civit, Rafael Marcos-Gragera, Maria Loreto Vilardell, Marià Carulla, Josep Alfons Espinàs, Jaume Galceran, Angel Izquierdo, Josep Maria Borràs:
Missing data imputation and synthetic data simulation through modeling graphical probabilistic dependencies between variables (ModGraProDep): An application to breast cancer survival. 101875 - Meysam Ahangaran, Mohammad Reza Jahed-Motlagh, Behrouz Minaei-Bidgoli:
A novel method for predicting the progression rate of ALS disease based on automatic generation of probabilistic causal chains. 101879
- Moi Hoon Yap, Manu Goyal, Fatima Osman, Robert Martí, Erika R. E. Denton, Arne Juette, Reyer Zwiggelaar:
Breast ultrasound region of interest detection and lesion localisation. 101880
- Sheng Chen, Yaqi Han, Jinqiu Lin, Xiangyu Zhao, Ping Kong:
Pulmonary nodule detection on chest radiographs using balanced convolutional neural network and classic candidate detection. 101881 - Andy Jinhua Ma, Jacky C. P. Chan, Frodo Kin-Sun Chan, Pong C. Yuen, Terry Cheuk-Fung Yip, Yee-Kit Tse, Vincent W. S. Wong, Grace Lai-Hung Wong:
Temporal matrix completion with locally linear latent factors for medical applications. 101883 - Pierangela Bruno, Francesco Calimeri, Alexandre Sébastien Kitanidis, Elena De Momi:
Data reduction and data visualization for automatic diagnosis using gene expression and clinical data. 101884 - Keni Zheng, Chelsea Harris, Rachid Jennane, Sokratis Makrogiannis:
Integrative blockwise sparse analysis for tissue characterization and classification. 101885
- Yue Wu, Charlie McLeod, Christopher C. Blyth, Asha Bowen, Andrew Martin, Ann E. Nicholson, Steven Mascaro, Tom Snelling:
Predicting the causative pathogen among children with osteomyelitis using Bayesian networks - improving antibiotic selection in clinical practice. 101895
- Elima Hussain, Lipi B. Mahanta, Chandana Ray Das, Manjula Choudhury, Manish Chowdhury:
A shape context fully convolutional neural network for segmentation and classification of cervical nuclei in Pap smear images. 101897 - Oscar J. Pellicer-Valero, Isabella Cattinelli, Luca Neri, Flavio Mari, José David Martín-Guerrero, Carlo Barbieri:
Enhanced prediction of hemoglobin concentration in a very large cohort of hemodialysis patients by means of deep recurrent neural networks. 101898 - Junlong Cheng, Shengwei Tian, Long Yu, Hongchun Lu, Xiaoyi Lv:
Fully convolutional attention network for biomedical image segmentation. 101899 - Thomas Ploug, Søren Holm:
The four dimensions of contestable AI diagnostics - A patient-centric approach to explainable AI. 101901 - Heming Yao, Craig A. Williamson, Jonathan Gryak, Kayvan Najarian:
Automated hematoma segmentation and outcome prediction for patients with traumatic brain injury. 101910 - Wei-Kai Lee, Chih-Chun Wu, Cheng-Chia Lee, Chia-Feng Lu, Huai-Che Yang, Tzu-Hsuan Huang, Chun-Yi Lin, Wen-Yuh Chung, Po-Shan Wang, Hsiu-Mei Wu, Wan-Yuo Guo, Yu-Te Wu:
Combining analysis of multi-parametric MR images into a convolutional neural network: Precise target delineation for vestibular schwannoma treatment planning. 101911 - Scott McLachlan, Kudakwashe Dube, Graham A. Hitman, Norman E. Fenton, Evangelia Kyrimi:
Bayesian networks in healthcare: Distribution by medical condition. 101912
- Munish Bhatia, Simranpreet Kaur, Sandeep K. Sood, Veerawali Behal:
Internet of things-inspired healthcare system for urine-based diabetes prediction. 101913
- Joost van der Putten, Jeroen de Groof, Maarten R. Struyvenberg, Tim Boers, Kiki Fockens, Wouter L. Curvers, Erik J. Schoon, Jacques J. Bergman, Fons van der Sommen, Peter H. N. de With:
Multi-stage domain-specific pretraining for improved detection and localization of Barrett's neoplasia: A comprehensive clinically validated study. 101914 - Youru Li, Zhenfeng Zhu, Haiyan Wu, Silu Ding, Yao Zhao:
CCAE: Cross-field categorical attributes embedding for cancer clinical endpoint prediction. 101915
- Paul Compagnon, Grégoire Lefebvre, Stefan Duffner, Christophe Garcia:
Learning personalized ADL recognition models from few raw data. 101916
- Mark Shifrin, Hava T. Siegelmann:
Near-optimal insulin treatment for diabetes patients: A machine learning approach. 101917
- Guoliang Lu, Guangyuan Chen, Wei Shang, Zhaohong Xie:
Automated detection of dynamical change in EEG signals based on a new rhythm measure. 101920 - Danqing Hu, Shaolei Li, Zhengxing Huang, Nan Wu, Xudong Lu:
Predicting postoperative non-small cell lung cancer prognosis via long short-term relational regularization. 101921 - Manuel López Martín, Angel Nevado, Belén Carro:
Detection of early stages of Alzheimer's disease based on MEG activity with a randomized convolutional neural network. 101924 - Jing Xie, Jingchi Jiang, Yehan Wang, Yi Guan, Xitong Guo:
Learning an expandable EMR-based medical knowledge network to enhance clinical diagnosis. 101927 - Zihao Wang, Zhenzhou Wang:
A generic approach for cell segmentation based on Gabor filtering and area-constrained ultimate erosion. 101929
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