About Karen Sanchez Karen Sanchez Postdoctoral Research Fellow Computer Vision machine learning AI for healthcare deep learning Medical imaging Karen Sanchez is a Postdoctoral Researcher in the IVUL lab at KAUST, specializing in deep learning, machine learning, and artificial intelligence (AI) for healthcare applications. Her research focuses on video understanding, domain adaptation, generative AI, and methods for preserving patient privacy. Articles Related News March 2026 Five IVUL Papers Accepted to CVPR 2026 1 min read · Sun, Mar 1 2026 News CVPR IVUL has five papers accepted to CVPR 2026, which will be held in Denver, Colorado, June 3–7, 2026. The accepted papers are: β-CLIP: Text-Conditioned Contrastive Learning for Multi-Granular Vision-Language Alignment Authors: Fatimah Zohra, Chen Zhao, Hani Itani, Bernard Ghanem Affiliations: KAUST CURE: Curriculum-Guided Multi-Task Training for Reliable Anatomy-Grounded Report Generation Authors: Pablo Messina, Andrés Villa, Juan León Alcázar, Karen Sánchez, Carlos Hinojosa, Denis Parra, Álvaro Soto, Bernard Ghanem Affiliations: KAUST; Pontificia Universidad Católica de Chile EasyV2V: A High
Five IVUL Papers Accepted to CVPR 2026 1 min read · Sun, Mar 1 2026 News CVPR IVUL has five papers accepted to CVPR 2026, which will be held in Denver, Colorado, June 3–7, 2026. The accepted papers are: β-CLIP: Text-Conditioned Contrastive Learning for Multi-Granular Vision-Language Alignment Authors: Fatimah Zohra, Chen Zhao, Hani Itani, Bernard Ghanem Affiliations: KAUST CURE: Curriculum-Guided Multi-Task Training for Reliable Anatomy-Grounded Report Generation Authors: Pablo Messina, Andrés Villa, Juan León Alcázar, Karen Sánchez, Carlos Hinojosa, Denis Parra, Álvaro Soto, Bernard Ghanem Affiliations: KAUST; Pontificia Universidad Católica de Chile EasyV2V: A High
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