Jarrel Seah
9PUBLICATIONS
17CO-AUTHORS
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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
