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Medical AI

1040 directly classified papers

Papers per year

Papers

Predicting Cognitive Declines Using Longitudinally Enriched Representations for Imaging Biomarkers CVPR 2020
DATA-GRU: Dual-Attention Time-Aware Gated Recurrent Unit for Irregular Multivariate Time Series AAAI 2020
Deep Mixed Effect Model Using Gaussian Processes: A Personalized and Reliable Prediction for Healthcare AAAI 2020
Regional Tree Regularization for Interpretability in Deep Neural Networks AAAI 2020
On the Generation of Medical Question-Answer Pairs AAAI 2020
Combining Real-Time Segmentation and Classification of Rehabilitation Exercises with LSTM Networks and Pointwise Boosting AAAI 2020
Developing a Machine Learning Tool for Dynamic Cancer Treatment Strategies AAAI 2020
Learning to ground medical text in a 3D human atlas CONLL 2020
Improving the Ability of Deep Neural Networks to Use Information from Multiple Views in Breast Cancer Screening MIDL 2020
Automated Labelling using an Attention model for Radiology reports of MRI scans (ALARM) MIDL 2020
Prediction of High Risk of Deviations in Home Care Deliveries PGM 2020
Towards Interpretable Clinical Diagnosis with Bayesian Network Ensembles Stacked on Entity-Aware CNNs ACL 2020
Unsupervised Paraphasia Classification in Aphasic Speech ACL 2020
Estimating the effect of COVID-19 on mental health: Linguistic indicators of depression during a global pandemic ACL 2020
Noise Pollution in Hospital Readmission Prediction: Long Document Classification with Reinforcement Learning ACL 2020
Towards an Ontology-based Medication Conversational Agent for PrEP and PEP ACL 2020
Learning Regional Attention Convolutional Neural Network for Motion Intention Recognition Based on EEG Data IJCAI 2020
Learning Counterfactual Representations for Estimating Individual Dose-Response Curves AAAI 2020
ECGadv: Generating Adversarial Electrocardiogram to Misguide Arrhythmia Classification System AAAI 2020
Generative Adversarial Regularized Mutual Information Policy Gradient Framework for Automatic Diagnosis AAAI 2020
Graph-Driven Generative Models for Heterogeneous Multi-Task Learning AAAI 2020
CONAN: Complementary Pattern Augmentation for Rare Disease Detection AAAI 2020
A Time-Aware Transformer Based Model for Suicide Ideation Detection on Social Media EMNLP 2020
A Real-Time Robot-Based Auxiliary System for Risk Evaluation of COVID-19 Infection INTERSPEECH 2020
Using State of the Art Speaker Recognition and Natural Language Processing Technologies to Detect Alzheimer’s Disease and Assess its Severity INTERSPEECH 2020