Jonathan R. Dillman

14 papers Journal 12Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
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
Shruti Hegde, Mabon Manoj Ninan, Jonathan R. Dillman, Shireen Hayatghaibi, Lynn Babcock, Elanchezhian Somasundaram
2025 — conf
Comparative methods for histology-based prediction of anti-TNFα response in pediatric Crohn's disease.
SIPAIM
Sixten Heekin, Nicholas Denson, Julia Smith, Ilyssa Gordon, Lee Denson, Jonathan R. Dillman, David Bruining, Florian Reider, Jasbir Dhaliwal, Lauren Erdman
2025 J jnl
Development and Validation of a Modality-Invariant 3D Swin U-Net Transformer for Liver and Spleen Segmentation on Multi-Site Clinical Bi-parametric MR Images.
J. Imaging Inform. Medicine
Huixian Zhang, Hailong Li, Redha Ali, Wei Jia, Wen Pan, Scott B. Reeder, David Harris, William R. Masch, Anum Aslam, Krishna Shanbhogue, Nehal A. Parikh, Jonathan R. Dillman, Lili He
2025 J jnl
Investigation of ComBat Harmonization on Radiomic and Deep Features from Multi-Center Abdominal MRI Data.
J. Imaging Inform. Medicine
Wei Jia, Hailong Li, Redha Ali, Krishna P. Shanbhogue, William R. Masch, Anum Aslam, David T. Harris, Scott B. Reeder, Jonathan R. Dillman, Lili He
2025 J jnl
RadCLIP: Enhancing Radiologic Image Analysis Through Contrastive Language-Image Pretraining.
IEEE Trans. Neural Networks Learn. Syst.
Zhixiu Lu, Hailong Li, Nehal A. Parikh, Jonathan R. Dillman, Lili He
2024 J jnl
Joint self-supervised and supervised contrastive learning for multimodal MRI data: Towards predicting abnormal neurodevelopment.
Artif. Intell. Medicine
Zhiyuan Li, Hailong Li, Anca L. Ralescu, Jonathan R. Dillman, Mekibib Altaye, Kim M. Cecil, Nehal A. Parikh, Lili He
2024 J jnl
Supervised contrastive learning enhances graph convolutional networks for predicting neurodevelopmental deficits in very preterm infants using brain structural connectome.
NeuroImage
Hailong Li, Junqi Wang, Zhiyuan Li, Kim M. Cecil, Mekibib Altaye, Jonathan R. Dillman, Nehal A. Parikh, Lili He
2024 — conf
Trade-Offs in Deep Learning Model Loss and Configuration for Sparse Histological Segmentation: A Case Study in Pediatric Ileal Histology.
SIPAIM
Sixten Heekin, Oscar Lopez-Nunez, Julia Smith, Nicholas Denson, Lee Denson, Alexander Miethke, Jonathan R. Dillman, Emily Miraldi, J. Matthew Kofron, Jasbir Dhaliwal, Lauren Erdman
2023 J jnl
A Novel Collaborative Self-Supervised Learning Method for Radiomic Data.
CoRR
Zhiyuan Li, Hailong Li, Anca L. Ralescu, Jonathan R. Dillman, Nehal A. Parikh, Lili He
2023 J jnl
A novel collaborative self-supervised learning method for radiomic data.
NeuroImage
Zhiyuan Li, Hailong Li, Anca L. Ralescu, Jonathan R. Dillman, Nehal A. Parikh, Lili He
2023 J jnl
Dynamic weighted hypergraph convolutional network for brain functional connectome analysis.
Medical Image Anal.
Junqi Wang, Hailong Li, Gang Qu, Kim M. Cecil, Jonathan R. Dillman, Nehal A. Parikh, Lili He
2023 J jnl
Joint Self-Supervised and Supervised Contrastive Learning for Multimodal MRI Data: Towards Predicting Abnormal Neurodevelopment.
CoRR
Zhiyuan Li, Hailong Li, Anca L. Ralescu, Jonathan R. Dillman, Mekibib Altaye, Kim M. Cecil, Nehal A. Parikh, Lili He
2022 J jnl
A Novel Ontology-guided Attribute Partitioning Ensemble Learning Model for Early Prediction of Cognitive Deficits using Quantitative Structural MRI in Very Preterm Infants.
CoRR
Zhiyuan Li, Hailong Li, Adebayo Braimah, Jonathan R. Dillman, Nehal A. Parikh, Lili He
2022 J jnl
A novel Ontology-guided Attribute Partitioning ensemble learning model for early prediction of cognitive deficits using quantitative Structural MRI in very preterm infants.
NeuroImage
Zhiyuan Li, Hailong Li, Adebayo Braimah, Jonathan R. Dillman, Nehal A. Parikh, Lili He