Nicholas T Dietrich

7PUBLICATIONS
9CO-AUTHORS
Semi- and unsupervised learningAir pollution modelling and controlPsycholinguistics (incl. speech production and comprehension)
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Publications (7)

|Aug 20, 2026
Synthetic data augmentation for CT-based emphysema subtype classification: A comparative evaluation of generative and classical approaches.

|Aug 12, 2026
Effect of Deep Learning Training Policy on Greenhouse Gas Emissions and Carbon Efficiency for Chest Radiograph Classification.

|Apr 15, 2026
Cognitively Biased Prompt Effects on Large Language Model Accuracy for Radiology Board-style Examination Questions.

Nicholas T Dietrich, Dhruv Patel, Joseph Bellissimo

|Jan 07, 2026
Evaluating few-shot prompting for spectrogram-based lung sound classification using a multimodal language model.

Nicholas Dietrich, David McShannon, Mark F Rzepka

|Feb 27, 2025
Evaluating Adherence to Canadian Radiology Guidelines for Incidental Hepatobiliary Findings Using RAG-Enabled LLMs.

Nicholas Dietrich, Brett Stubbert

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Frequent Collaborators

2 joint publications

Kate Hanneman

2 joint publications

David McShannon

1 joint publications

Michael N Patlas

1 joint publications

Merel Huisman