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- 2023
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Mark
Chem2Side : A Deep Learning Model with Ensemble Augmentation (Conventional + Pix2Pix) for COVID-19 Drug Side-Effects Prediction from Chemical Images
(
- Contribution to journal › Article
- 2022
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Mark
Traveler Biosecurity Behavior during the COVID-19 Pandemic : Effects of Intervention, Resilience, and Sustainable Development Goals
(
- Contribution to journal › Article
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Mark
Reconstruction of stereoscopic CTA events using deep learning with CTLearn
(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
ERA : Enhanced Rational Activations
2022) 17th European Conference on Computer Vision, ECCV 2022 In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 13680 LNCS. p.722-738(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
Towards computational modelling of active response in cyclist falls from in-the-wild footage
(
- Contribution to conference › Paper, not in proceeding
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Mark
Deep learning takes the pain out of back breaking work - Automatic vertebral segmentation and attenuation measurement for osteoporosis
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- Contribution to journal › Article
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Mark
Polyp Segmentation of Colonoscopy Images by Exploring the Uncertain Areas
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- Contribution to journal › Article
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Mark
Freely available artificial intelligence for pelvic lymph node metastases in PSMA PET-CT that performs on par with nuclear medicine physicians
(
- Contribution to journal › Article
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Mark
Long-Short Term Memory Technique for Monthly Rainfall Prediction in Thale Sap Songkhla River Basin, Thailand
(
- Contribution to journal › Article
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Mark
Analysis of a deep learning-based method for generation of SPECT projections based on a large Monte Carlo simulated dataset
(
- Contribution to journal › Article