Jarrel C Y Seah (Jarrel Seah)

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 10

Top Topics

Convolutional Neural Network

Artificial Intelligence

Positron Emission Tomography

Top Venues

Radiology. Artificial intelligence

Diagnostics (Basel, Switzerland)

The British journal of radiology

This page only lists publications with an associated author ORCID identifier.

Publications

Reuben A Schmidt, Jarrel C Y Seah, Ke Cao, Lincoln J Lim, Wei Lim, Justin Yeung
Generative Large Language Models for Detection of Speech Recognition Errors in Radiology Reports. Radiology. Artificial intelligence 6 (2) (2024)
Reuben A Schmidt, Jarrel C Y Seah, Ke Cao, Lincoln J Lim, Wei Lim, Justin Yeung
Generating Large Language Models for Detection of Speech Recognition Errors in Radiology Reports. Radiology. Artificial intelligence (2024)
Reuben A Schmidt, Jarrel C Y Seah, Ke Cao, Lincoln J Lim, Wei Lim, Justin Yeung
Generative Large Language Models for Detection of Speech Recognition Errors in Radiology Reports. Radiology. Artificial intelligence 6 (2) (2024)
Reuben A Schmidt, Jarrel C Y Seah, Ke Cao, Lincoln J Lim, Wei Lim, Justin Yeung
Generative Large Language Models for Detection of Speech Recognition Errors in Radiology Reports. Radiology. Artificial intelligence 6 (2) (2024)
Cyril H M Tang, Jarrel C Y Seah, Hassan K Ahmad, Michael R Milne, Jeffrey B Wardman, Quinlan D Buchlak, Nazanin Esmaili, John F Lambert, Catherine M Jones
Analysis of Line and Tube Detection Performance of a Chest X-ray Deep Learning Model to Evaluate Hidden Stratification. Diagnostics (Basel, Switzerland) 13 (14) (2023)
Jarrel C Y Seah, Cyril Tang, Quinlan D Buchlak, Michael Robert Milne, Xavier Holt, Hassan Ahmad, John Lambert, Nazanin Esmaili, Luke Oakden-Rayner, Peter Brotchie, Catherine M Jones
Do comprehensive deep learning algorithms suffer from hidden stratification? A retrospective study on pneumothorax detection in chest radiography. BMJ open 11 (12) (2021)
Jarrel C Y Seah, Zoe Brady, Kyle Ewert, Meng Law
Artificial intelligence in medical imaging: implications for patient radiation safety. The British journal of radiology 94 (1126) (2021)
Jennifer S N Tang, Jarrel C Y Seah, Adil Zia, Jay Gajera, Richard N Schlegel, Aaron J N Wong, Dayu Gai, Shu Su, Tony Bose, Marcus L Kok, Alex Jarema, George N Harisis, Chris-Tin Cheng, Helen Kavnoudias, Wayland Wang, Anouk Stein, George Shih, Frank Gaillard, Andrew Dixon, Meng Law
CLiP, catheter and line position dataset. Scientific data 8 (1) (2021)
Catherine M Jones, Luke Danaher, Michael Robert Milne, Cyril Tang, Jarrel C Y Seah, Luke Oakden-Rayner, Andrew Johnson, Quinlan D Buchlak, Nazanin Esmaili
Assessment of the effect of a comprehensive chest radiograph deep learning model on radiologist reports and patient outcomes: a real-world observational study. BMJ open 11 (12) (2021)
Jarrel C Y Seah, Jennifer S N Tang, Andy Kitchen, Frank Gaillard, Andrew F Dixon
Chest Radiographs in Congestive Heart Failure: Visualizing Neural Network Learning. Radiology 290 (2) (2018)