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
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- Contribution to journal › Article
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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
Towards Zero Bottlenecks for Scaling Autonomous Driving
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- 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
Single-Source Localization as an Eigenvalue Problem
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- Contribution to journal › Article
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Breast cancer classification in point-of-care ultrasound imaging—the impact of training data
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- Contribution to journal › Article
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Efficient Two-view Estimation using Richer Geometric Correspondences
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- Thesis › Licentiate thesis
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Enhancing sparse identification of nonlinear dynamics with Earth-Mover distance and group similarity
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- Contribution to journal › Article
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Trustworthiness for Deep Learning Based Breast Cancer Detection Using Point-of-Care Ultrasound Imaging in Low-Resource Settings
2025) 1st MICCAI Meets Africa Workshop, MImA 2024 and 1st MICCAI Student Board Workshop on Empowering Medical Information Computing and Research through Early-Career Expertise, EMERGE 2024, Held in Conjunction with MICCAI 2024 In Communications in Computer and Information Science 2240. p.42-51(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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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