Louis J. Vaickus
According to our database1,
Louis J. Vaickus
authored at least 13 papers
between 2019 and 2023.
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Bibliography
2023
Assessment of emerging pretraining strategies in interpretable multimodal deep learning for cancer prognostication.
BioData Min., January, 2023
2022
Configuring a federated network of real-world patient health data for multimodal deep learning prediction of health outcomes.
Proceedings of the SAC '22: The 37th ACM/SIGAPP Symposium on Applied Computing, Virtual Event, April 25, 2022
Development of biologically interpretable multimodal deep learning model for cancer prognosis prediction.
Proceedings of the SAC '22: The 37th ACM/SIGAPP Symposium on Applied Computing, Virtual Event, April 25, 2022
Graph Neural Networks Ameliorate Potential Impacts of Imprecise Large-Scale Autonomous Immunofluorescence Labeling of Immune Cells on Whole Slide Images.
Proceedings of the Geometric Deep Learning in Medical Image Analysis, 2022
2021
Learn like a Pathologist: Curriculum Learning by Annotator Agreement for Histopathology Image Classification.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021
Topological Feature Extraction and Visualization of Whole Slide Images using Graph Neural Networks.
Proceedings of the Biocomputing 2021: Proceedings of the Pacific Symposium, 2021
Proceedings of the Artificial Intelligence in Medicine, 2021
2020
Longevity Associated Geometry Identified in Satellite Images: Sidewalks, Driveways and Hiking Trails.
CoRR, 2020
PathFlowAI: A High-Throughput Workflow for Preprocessing, Deep Learning and Interpretation inDigital Pathology.
Proceedings of the Pacific Symposium on Biocomputing 2020, 2020
Preliminary Evaluation of the Utility of Deep Generative Histopathology Image Translation at a Mid-sized NCI Cancer Center.
Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020), 2020
2019
Deep neural networks for automated classification of colorectal polyps on histopathology slides: A multi-institutional evaluation.
CoRR, 2019
Pathologist-level classification of histologic patterns on resected lung adenocarcinoma slides with deep neural networks.
CoRR, 2019
Generative Image Translation for Data Augmentation in Colorectal Histopathology Images.
Proceedings of the Machine Learning for Health Workshop, 2019