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Jarrel Seah

9PUBLICATIONS

17CO-AUTHORS

Knowledge representation and reasoningPhotography, video and lens-based practiceLinguistic structures (incl. phonology, morphology and syntax)Neural networksContext learning

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Publications (9)

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|Jul 29, 2025

Drafting the Future: The Dawn of AI Report Generation in Radiology.

Jarrel C Y Seah, Jennifer S N Tang, Aengus Tran

|Jan 03, 2025

Enhancing Radiographic Diagnosis: CycleGAN-Based Methods for Reducing Cast Shadow Artifacts in Wrist Radiographs.

Stanley A Norris, Daniel Carrion, Michael Ditchfield

|Jan 24, 2024

Generative Large Language Models for Detection of Speech Recognition Errors in Radiology Reports.

Reuben A Schmidt, Jarrel C Y Seah, Ke Cao

|Jul 29, 2023

Analysis of Line and Tube Detection Performance of a Chest X-ray Deep Learning Model to Evaluate Hidden Stratification.

Cyril H M Tang, Jarrel C Y Seah, Hassan K Ahmad

|Dec 21, 2021

Assessment of the effect of a comprehensive chest radiograph deep learning model on radiologist reports and patient outcomes: a real-world observational study.

Catherine M Jones, Luke Danaher, Michael R Milne

|Dec 08, 2021

Do comprehensive deep learning algorithms suffer from hidden stratification? A retrospective study on pneumothorax detection in chest radiography.

Jarrel Seah, Cyril Tang, Quinlan D Buchlak

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Frequent Collaborators

2 joint publications

Jennifer S N Tang

2 joint publications

Michael Robert Milne

1 joint publications

Adil Zia

1 joint publications

Jay Gajera

1 joint publications

Aaron J N Wong

1 joint publications

Chris-Tin Cheng

1 joint publications

Helen Kavnoudias

1 joint publications

Anouk Stein

1 joint publications

Frank Gaillard

1 joint publications

Meng Law

Frequent Collaborators

2 joint publications

Jennifer S N Tang

2 joint publications

Michael Robert Milne

1 joint publications

Adil Zia

1 joint publications

Jay Gajera

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