Papers
242 papers found
An hybrid CNN-Transformer model based on multi-feature extraction and attention fusion mechanism for cerebral emboli classification
Yamil Vindas, Blaise Kevin Guepie, Marilys Almar et al.
Anomaly Detection in Echocardiograms with Dynamic Variational Trajectory Models
Alain Ryser, Laura Manduchi, Fabian Laumer et al.
AudiFace: Multimodal Deep Learning for Depression Screening
Ricardo Flores, ML Tlachac, Ermal Toto et al.
auton-survival: an Open-Source Package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Event Data
Chirag Nagpal, Willa Potosnak, Artur Dubrawski
Classifying Unstructured Clinical Notes via Automatic Weak Supervision
Chufan Gao, Mononito Goswami, Jieshi Chen et al.
Contrastive Learning of Medical Visual Representations from Paired Images and Text
Yuhao Zhang, Hang Jiang, Yasuhide Miura et al.
Debiasing Deep Chest X-Ray Classifiers using Intra- and Post-processing Methods
Ricards Marcinkevics, Ece Ozkan, Julia E. Vogt
Deep Cascade Learning for Optimal Medical Image Feature Representation
Junwen Wang, Xin Du, Katayoun Farrahi et al.
Density-Aware Personalized Training for Risk Prediction in Imbalanced Medical Data
Zepeng Huo, Xiaoning Qian, Shuai Huang et al.
Development and Validation of ML-DQA – a Machine Learning Data Quality Assurance Framework for Healthcare
Mark Sendak, Gaurav Sirdeshmukh, Timothy Ochoa et al.
Diagnosing Epileptogenesis with Deep Anomaly Detection
Amr Farahat, Diyuan Lu, Sebastian Bauer et al.
Disparate Censorship & Undertesting: A Source of Label Bias in Clinical Machine Learning
Trenton Chang, Michael W. Sjoding, Jenna Wiens
EHR Safari: Data is Contextual
William Boag, Mercy Oladipo, Peter Szolovits
EMIXER: End-to-end Multimodal X-ray Generation via Self-supervision
Siddharth Biswal, Peiye Zhuang, Ayis Pyrros et al.
Ensembling Neural Networks for Improved Prediction and Privacy in Early Diagnosis of Sepsis
Shigehiko Schamoni, Michael Hagmann, Stefan Riezler
Error Amplification When Updating Deployed Machine Learning Models
George Alexandru Adam, Chun-Hao Kingsley Chang, Benjamin Haibe-Kains et al.
Evaluating Uncertainty-Based Deep Learning Explanations for Prostate Lesion Detection
Christopher M Trombley, Mehmet Akif Gulum, Merve Ozen et al.
Few-Shot Learning with Semi-Supervised Transformers for Electronic Health Records
Raphael Poulain, Mehak Gupta, Rahmatollah Beheshti
GeoECG: Data Augmentation via Wasserstein Geodesic Perturbation for Robust Electrocardiogram Prediction
Jiacheng Zhu, Jielin Qiu, Zhuolin Yang et al.
HiCu: Leveraging Hierarchy for Curriculum Learning in Automated ICD Coding
Weiming Ren, Ruijing Zeng, Tongzi Wu et al.
How fair is your graph? Exploring fairness concerns in neuroimaging studies
Fernanda Ribeiro, Valentina Shumovskaia, Thomas Davies et al.
ICE-NODE: Integration of Clinical Embeddings with Neural Ordinary Differential Equations
Asem Alaa, Erik Mayer, Mauricio Barahona
KCRL: A Prior Knowledge Based Causal Discovery Framework with Reinforcement Learning
Uzma Hasan, Md Osman Gani
Latent Temporal Flows for Multivariate Analysis of Wearables Data
Magda Amiridi, Gregory Darnell, Sean Jewell
Learning Optimal Dynamic Treatment Regimes Using Causal Tree Methods in Medicine
Theresa Blumlein, Joel Persson, Stefan Feuerriegel