Jonathan R. Dillman
Orcid: 0000-0003-0124-0164
According to our database1,
Jonathan R. Dillman
authored at least 7 papers
between 2022 and 2025.
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Bibliography
2025
Can Modern NLP Systems Reliably Annotate Chest Radiography Exams? A Pre-Purchase Evaluation and Comparative Study of Solutions from AWS, Google, Azure, John Snow Labs, and Open-Source Models on an Independent Pediatric Dataset.
CoRR, May, 2025
2024
Supervised contrastive learning enhances graph convolutional networks for predicting neurodevelopmental deficits in very preterm infants using brain structural connectome.
NeuroImage, 2024
Joint self-supervised and supervised contrastive learning for multimodal MRI data: Towards predicting abnormal neurodevelopment.
Artif. Intell. Medicine, 2024
Trade-Offs in Deep Learning Model Loss and Configuration for Sparse Histological Segmentation: A Case Study in Pediatric Ileal Histology.
Proceedings of the 20th International Symposium on Medical Information Processing and Analysis, 2024
2023
NeuroImage, August, 2023
Dynamic weighted hypergraph convolutional network for brain functional connectome analysis.
Medical Image Anal., 2023
2022
A novel Ontology-guided Attribute Partitioning ensemble learning model for early prediction of cognitive deficits using quantitative Structural MRI in very preterm infants.
NeuroImage, 2022