Cornelius A. Thiels
Orcid: 0000-0003-3654-8601
According to our database1,
Cornelius A. Thiels authored at least 9 papers
between 2024 and 2026.
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Bibliography
2026
Automated Prediction of Postoperative Pancreatic Fistula Using Preoperative Computed Tomography.
CoRR, May, 2026
Digitally enriching a screening population for pancreatic cancer using routine blood-based measures and clinical histories.
CoRR, May, 2026
GraD-IBD: Graph Representation Learning from Diagnosis Trajectories for Early Detection of Inflammatory Bowel Disease.
CoRR, May, 2026
The Daily Dose: Workflow-Integrated Large Language Model Automation for Clinical Summarization and Trial Identification in Radiation Oncology.
CoRR, May, 2026
Cross-Domain Vision-Language Transfer Learning for Surgical Drain Detection in Real-World Postoperative Images.
Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026
2025
ViTCAI: A Vision-Language Model for Automated Triage and Captioning of Postoperative Incision Images Submitted by Remote Patients.
IEEE J. Biomed. Health Informatics, December, 2025
Synthetic Feature Augmentation Improves Generalization Performance of Language Models.
CoRR, January, 2025
Dual-Space Augmentation and Sampling for Training Language Models on Limited and Imbalanced Surgical Reports.
Proceedings of the IEEE/ACM 12th International Conference on Big Data Computing, 2025
2024
Graph Representation of Postoperative Patients for Opioids Refill Prediction: A Real-World Case Study.
Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024