Jared Dunnmon
Orcid: 0000-0002-4002-0562
According to our database1,
Jared Dunnmon
authored at least 31 papers
between 2017 and 2023.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2023
Predicting 30-Day All-Cause Hospital Readmission Using Multimodal Spatiotemporal Graph Neural Networks.
IEEE J. Biomed. Health Informatics, April, 2023
Modeling Multivariate Biosignals With Graph Neural Networks and Structured State Space Models.
Proceedings of the Conference on Health, Inference, and Learning, 2023
2022
Spatiotemporal Modeling of Multivariate Signals With Graph Neural Networks and Structured State Space Models.
CoRR, 2022
Multimodal spatiotemporal graph neural networks for improved prediction of 30-day all-cause hospital readmission.
CoRR, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Self-Supervised Graph Neural Networks for Improved Electroencephalographic Seizure Analysis.
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
ViLMedic: a framework for research at the intersection of vision and language in medical AI.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics, 2022
2021
Comparison of segmentation-free and segmentation-dependent computer-aided diagnosis of breast masses on a public mammography dataset.
J. Biomed. Informatics, 2021
OncoNet: Weakly Supervised Siamese Network to automate cancer treatment response assessment between longitudinal FDG PET/CT examinations.
CoRR, 2021
Automated Seizure Detection and Seizure Type Classification From Electroencephalography With a Graph Neural Network and Self-Supervised Pre-Training.
CoRR, 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
2020
Weak supervision as an efficient approach for automated seizure detection in electroencephalography.
npj Digit. Medicine, 2020
Author Correction: PENet - a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging.
npj Digit. Medicine, 2020
PENet - a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging.
npj Digit. Medicine, 2020
Let's Hope it Works! Inaccurate Supervision of Neural Networks with Incorrect Labels: Application to Epilepsy.
CoRR, 2020
Data Valuation for Medical Imaging Using Shapley Value: Application on A Large-scale Chest X-ray Dataset.
CoRR, 2020
No Subclass Left Behind: Fine-Grained Robustness in Coarse-Grained Classification Problems.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Hidden stratification causes clinically meaningful failures in machine learning for medical imaging.
Proceedings of the ACM CHIL '20: ACM Conference on Health, 2020
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020
2019
Nat. Mach. Intell., 2019
Predicting US State-Level Agricultural Sentiment as a Measure of Food Security with Tweets from Farming Communities.
CoRR, 2019
Predicting Food Security Outcomes Using Convolutional Neural Networks (CNNs) for Satellite Tasking.
CoRR, 2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
Proceedings of the Second Workshop on Data Management for End-To-End Machine Learning, 2018
2017
Optimizing and Visualizing Deep Learning for Benign/Malignant Classification in Breast Tumors.
CoRR, 2017
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017