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Artificial Intelligence in Medicine （ARTMED） - Volume 107 论文列表

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卷期号： Volume 107
发布时间： July 2020
卷期年份： 2020
卷期官网： https://www.sciencedirect.com/journal/artificial-intelligence-in-medicine/vol/107/suppl/C
本期论文列表
Editorial Board

A framework to shift basins of attraction of gene regulatory networks through batch reinforcement learning

Pulmonary nodule detection on chest radiographs using balanced convolutional neural network and classic candidate detection

A shape context fully convolutional neural network for segmentation and classification of cervical nuclei in Pap smear images

Fully convolutional attention network for biomedical image segmentation

Temporal matrix completion with locally linear latent factors for medical applications

Data reduction and data visualization for automatic diagnosis using gene expression and clinical data

Missing data imputation and synthetic data simulation through modeling graphical probabilistic dependencies between variables (ModGraProDep): An application to breast cancer survival

Integrative blockwise sparse analysis for tissue characterization and classification

Bayesian networks in healthcare: Distribution by medical condition

The four dimensions of contestable AI diagnostics - A patient-centric approach to explainable AI

Integrating expert’s knowledge constraint of time dependent exposures in structure learning for Bayesian networks

Combining analysis of multi-parametric MR images into a convolutional neural network: Precise target delineation for vestibular schwannoma treatment planning

Automated hematoma segmentation and outcome prediction for patients with traumatic brain injury

Enhanced prediction of hemoglobin concentration in a very large cohort of hemodialysis patients by means of deep recurrent neural networks

Multi-stage domain-specific pretraining for improved detection and localization of Barrett's neoplasia: A comprehensive clinically validated study

CCAE: Cross-field categorical attributes embedding for cancer clinical endpoint prediction

Detection of early stages of Alzheimer’s disease based on MEG activity with a randomized convolutional neural network

Learning an expandable EMR-based medical knowledge network to enhance clinical diagnosis

A novel method for predicting the progression rate of ALS disease based on automatic generation of probabilistic causal chains

Automated detection of dynamical change in EEG signals based on a new rhythm measure

Predicting postoperative non-small cell lung cancer prognosis via long short-term relational regularization

A generic approach for cell segmentation based on Gabor filtering and area-constrained ultimate erosion

Breast ultrasound region of interest detection and lesion localisation

A case-based ensemble learning system for explainable breast cancer recurrence prediction

Predicting the causative pathogen among children with osteomyelitis using Bayesian networks – improving antibiotic selection in clinical practice

Internet of things-inspired healthcare system for urine-based diabetes prediction

Near-optimal insulin treatment for diabetes patients: A machine learning approach

Learning personalized ADL recognition models from few raw data