Carlos Riquelme
Publications by Year
Research Areas
Intracranial Aneurysms: Treatment and Complications, Vascular Malformations Diagnosis and Treatment, Cerebrovascular and Carotid Artery Diseases, Domain Adaptation and Few-Shot Learning, Multimodal Machine Learning Applications
Most-Cited Works
- → PaLI: A Jointly-Scaled Multilingual Language-Image Model(2022)194 cited
- → Scaling Vision Transformers to 22 Billion Parameters(2023)118 cited
- → Multimodal Contrastive Learning with LIMoE: the Language-Image Mixture of Experts(2022)72 cited
- → Safety and effectiveness of the Low Profile Visualized Intraluminal Support (LVIS and LVIS Jr) devices in the endovascular treatment of intracranial aneurysms: results of the TRAIL multicenter observational study(2017)61 cited
- → Deep Bayesian Bandits Showdown: An Empirical Comparison of Bayesian Deep\n Networks for Thompson Sampling(2018)46 cited
- → Learning to Merge Tokens in Vision Transformers(2022)24 cited
- → Endovascular management for intracranial ruptured aneurysms in elderly patients: outcome and technical aspects(2005)21 cited
- → Local Anesthesia Without Sedation During Thrombectomy for Anterior Circulation Stroke Is Associated With Worse Outcome(2020)20 cited
- → Which Model to Transfer? Finding the Needle in the Growing Haystack(2022)13 cited
- → Nitrification characteristics and microbial community changes during conversion of freshwater to seawater in down-flow hanging sponge reactor(2024)8 cited