Computer Vision and Machine Learning
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- 2025
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Mark
Machine learning prediction of tau-PET in Alzheimer's disease using plasma, MRI, and clinical data
- Contribution to journal › Article
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Mark
Leveraging axis-aligned subspaces for high-dimensional Bayesian optimization with group testing
(2025)
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
Predicting intra-field yield variations for winter wheat using remote sensing and Graph Attention Networks
- Contribution to journal › Article
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Mark
Enhancing the Prediction of Lymph Node Metastasis in Early Breast Cancer Using Deep Learning on Routine Full-Breast Mammograms
(2025) In Breast Cancer Research
- Working paper/Preprint › Preprint in preprint archive
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Mark
Towards Zero Bottlenecks for Scaling Autonomous Driving
- Thesis › Doctoral thesis (compilation)
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Mark
NeuroNCAP : Photorealistic Closed-Loop Safety Testing for Autonomous Driving
(2025) 18th European Conference on Computer Vision, ECCV 2024 In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 15088 LNCS. p.161-177
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
Relative Pose from Cylinder Silhouettes
(2025) 17th Asian Conference on Computer Vision, ACCV 2024 In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 15480 LNCS. p.245-261
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
SONNET : Enhancing Time Delay Estimation by Leveraging Simulated Audio
(2025) 27th International Conference on Pattern Recognition, ICPR 2024 In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 15320 LNCS. p.289-303
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
Single-Source Localization as an Eigenvalue Problem
- Contribution to journal › Article
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Mark
Enhancing sparse identification of nonlinear dynamics with Earth-Mover distance and group similarity
- Contribution to journal › Article
