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- 2024
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Mark
M2SKD : Multi-to-Single Knowledge Distillation of Real-Time Epileptic Seizure Detection for Low-Power Wearable Systems
- Contribution to journal › Article
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Mark
Bicycle and rider pose estimation from multi-camera video footage
(2024) 12th International Cycling Safety Conference, ICSC 2024
- Contribution to conference › Paper, not in proceeding
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Mark
Leveraging Deep Learning for Approaching Automated Pre-Clinical Rodent Models
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
Deep Learning for Breast Cancer Detection in Ultrasound Imaging : Classification, Managing Data Scarcity and Detecting Out-of-Distribution Samples
- Thesis › Licentiate thesis
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Mark
Prediction of Consolidation Tumor Ratio on Planning CT Images of Lung Cancer Patients Treated with Radiotherapy Based on Deep Learning
- Contribution to journal › Article
-
Mark
Making Space for Learning
- Chapter in Book/Report/Conference proceeding › Book chapter
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Mark
The analytical and clinical validity of AI algorithms to score TILs in TNBC : can we use different machine learning models interchangeably?
- Contribution to journal › Article
- 2023
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Mark
Deep learning prediction of quantitative coronary angiography values using myocardial perfusion images with a CZT camera
- Contribution to journal › Article
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Mark
Automated quantification of PET/CT skeletal tumor burden in prostate cancer using artificial intelligence : The PET index
- Contribution to journal › Article
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Mark
Machine learning for early prediction of acute myocardial infarction or death in acute chest pain patients using electrocardiogram and blood tests at presentation
- Contribution to journal › Article
