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ORCIDArtificial Intelligence in Medicine, Volume 97
Volume 97, June 2019
- Toan Duc Bui, Jae-Joon Lee, Jitae Shin:
Incorporated region detection and classification using deep convolutional networks for bone age assessment. 1-8 - Zhi Li, Jinshan Yang, Xu Gou, Xiaorong Qi:
Recurrent neural networks with segment attention and entity description for relation extraction from clinical texts. 9-18 - Loris Nanni, Sheryl Brahnam
, Christian Salvatore, Isabella Castiglioni, Alzheimer's Disease Neuroimaging Initiative:
Texture descriptors and voxels for the early diagnosis of Alzheimer's disease. 19-26 - Utkarsh Agrawal, Daniele Soria, Christian Wagner, Jonathan M. Garibaldi, Ian O. Ellis, John M. S. Bartlett, David Cameron, Emad A. Rakha, Andrew R. Green:
Combining clustering and classification ensembles: A novel pipeline to identify breast cancer profiles. 27-37 - Tom Van Steenkiste, Joeri Ruyssinck, Leen De Baets, Johan Decruyenaere, Filip De Turck, Femke Ongenae, Tom Dhaene:
Accurate prediction of blood culture outcome in the intensive care unit using long short-term memory neural networks. 38-43 - Andrik Rampun, Bryan W. Scotney, Philip J. Morrow, Hui Wang, John Winder:
Segmentation of breast MR images using a generalised 2D mathematical model with inflation and deflation forces of active contours. 44-60 - Jinao Zhang, Yongmin Zhong, Chengfan Gu:
Neural network modelling of soft tissue deformation for surgical simulation. 61-70 - Mario Merone, Carlo Sansone, Paolo Soda:
A computer-aided diagnosis system for HEp-2 fluorescence intensity classification. 71-78 - Imon Banerjee, Yuan Ling, Matthew C. Chen, Sadid A. Hasan, Curtis P. Langlotz, Nathaniel Moradzadeh, Brian E. Chapman, Timothy Amrhein, David A. Mong, Daniel L. Rubin, Oladimeji Farri, Matthew P. Lungren:
Comparative effectiveness of convolutional neural network (CNN) and recurrent neural network (RNN) architectures for radiology text report classification. 79-88 - Edilson F. Arruda, Basilio B. Pereira, Clarissa A. Thiers, Bernardo R. Tura:
Optimal testing policies for diagnosing patients with intermediary probability of disease. 89-97 - Mireia Calvo, Virginie Le Rolle, Daniel Romero, Nathalie Béhar, Pedro Gomis, Philippe Mabo, Alfredo I. Hernández:
Recursive model identification for the analysis of the autonomic response to exercise testing in Brugada syndrome. 98-104 - Ahmed M. Anter, Aboul Ella Hassenian:
CT liver tumor segmentation hybrid approach using neutrosophic sets, fast fuzzy c-means and adaptive watershed algorithm. 105-117 - Ahmet Saygili, Songül Albayrak:
An efficient and fast computer-aided method for fully automated diagnosis of meniscal tears from magnetic resonance images. 118-130 - Chang-Jiang Zhang, Xue-You Huang, Ming-Chao Fang:
MRI denoising by NeighShrink based on chi-square unbiased risk estimation. 131-142 - Iman Sharifi, Sobhan Goudarzi, Mohammad Bagher Khodabakhshi:
A novel dynamical approach in continuous cuffless blood pressure estimation based on ECG and PPG signals. 143-151 - Zuzana Rostáková, Roman Rosipal:
Profiling continuous sleep representations for better understanding of the dynamic character of normal sleep. 152-167
- Nadeem Salamat, Malik Muhammad Saad Missen, Aqsa Rashid:
Diabetic retinopathy techniques in retinal images: A review. 168-188 - Khalid Raza:
Fuzzy logic based approaches for gene regulatory network inference. 189-203 - Maisa Daoud, Michael Mayo:
A survey of neural network-based cancer prediction models from microarray data. 204-214
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