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A Knowledge Distillation Ensemble Framework for Predicting Short- and Long-Term Hospitalization Outcomes From Electronic Health Records Data.

Z. Ibrahim, D. Bean, T. Searle, L. Qian, H. Wu, A. Shek, Z. Kraljevic, J. Galloway, S. Norton, J. Teo, and R. Dobson. IEEE J. Biomed. Health Informatics, 26 (1): 423-435 (2022)

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Jens Martin Teodoridis

Adenir Vieira Teodoro

Thomas Teo

Alexander Chih-Yao Teo

George Teodoru

Other publications of authors with the same name

A Knowledge Distillation Ensemble Framework for Predicting Short and Long-term Hospitalisation Outcomes from Electronic Health Records Data.Z. Ibrahim, D. Bean, T. Searle, H. Wu, A. Shek, Z. Kraljevic, J. Galloway, S. Norton, J. Teo, and R. Dobson. CoRR, (2020)Estimating Redundancy in Clinical Text.T. Searle, Z. Ibrahim, J. Teo, and R. Dobson. CoRR, (2021)Framework to generate perfusion map from CT and CTA images in patients with acute ischemic stroke: A longitudinal and cross-sectional study.C. Tangwiriyasakul, P. Borges, S. Moriconi, P. Wright, Y. Mah, J. Teo, P. Nachev, S. Ourselin, and M. Cardoso. CoRR, (2024)Real-time clinician text feeds from electronic health records.J. Teo, V. Dinu, W. Bernal, P. Davidson, V. Oliynyk, C. Breen, R. Barker, and R. Dobson. npj Digit. Medicine, (2021)A Knowledge Distillation Ensemble Framework for Predicting Short- and Long-Term Hospitalization Outcomes From Electronic Health Records Data.Z. Ibrahim, D. Bean, T. Searle, L. Qian, H. Wu, A. Shek, Z. Kraljevic, J. Galloway, S. Norton, J. Teo and 1 other author(s). IEEE J. Biomed. Health Informatics, 26 (1): 423-435 (2022)Transformer-based out-of-distribution detection for clinically safe segmentation.M. Graham, P. Tudosiu, P. Wright, W. Pinaya, J. U.-King-Im, Y. Mah, J. Teo, H. Jäger, D. Werring, P. Nachev and 2 other author(s). MIDL, volume 172 of Proceedings of Machine Learning Research, page 457-476. PMLR, (2022)Unsupervised 3D Out-of-Distribution Detection with Latent Diffusion Models.M. Graham, W. Pinaya, P. Wright, P. Tudosiu, Y. Mah, J. Teo, H. Jäger, D. Werring, P. Nachev, S. Ourselin and 1 other author(s). MICCAI (1), volume 14220 of Lecture Notes in Computer Science, page 446-456. Springer, (2023)Validating Transformers for Redaction of Text from Electronic Health Records in Real-World Healthcare.Z. Kraljevic, A. Shek, J. Yeung, E. Sheldon, H. Shuaib, M. Al-Agil, X. Bai, K. Noor, A. Shah, R. Dobson and 1 other author(s). ICHI, page 544-549. IEEE, (2023)Fast Unsupervised Brain Anomaly Detection and Segmentation with Diffusion Models.W. Pinaya, M. Graham, R. Gray, P. Costa, P. Tudosiu, P. Wright, Y. Mah, A. MacKinnon, J. Teo, H. Jäger and 5 other author(s). MICCAI (8), volume 13438 of Lecture Notes in Computer Science, page 705-714. Springer, (2022)

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Disambiguation of "Teo, James T."

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A Knowledge Distillation Ensemble Framework for Predicting Short- and Long-Term Hospitalization Outcomes From Electronic Health Records Data.

Please choose a person to relate this publication to

Jens Martin Teodoridis

Adenir Vieira Teodoro

Thomas Teo

Alexander Chih-Yao Teo

George Teodoru

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Teo, James T."

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML A Knowledge Distillation Ensemble Framework for Predicting Short- and Long-Term Hospitalization Outcomes From Electronic Health Records Data.

Please choose a person to relate this publication to

Jens Martin Teodoridis

Adenir Vieira Teodoro

Thomas Teo

Alexander Chih-Yao Teo

George Teodoru

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
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Chicago
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A Knowledge Distillation Ensemble Framework for Predicting Short- and Long-Term Hospitalization Outcomes From Electronic Health Records Data.