Alan Yuille

CLIP-Driven Universal Model for Organ Segmentation and Tumor Detection

2023 · 267 Zit.

AbdomenAtlas: A large-scale, detailed-annotated, & multi-center dataset for efficient transfer learning and open algorithmic benchmarking

2024 · 36 Zit. · Medical Image Analysis

Auto-FedAvg: Learnable Federated Averaging for Multi-Institutional Medical Image Segmentation

2021 · 36 Zit. · arXiv (Cornell University)

Deep Learning in Radiology: Now the Real Work Begins

2017 · 22 Zit. · Journal of the American College of Radiology

AbdomenAtlas-8K: Annotating 8,000 CT Volumes for Multi-Organ Segmentation in Three Weeks

2023 · 17 Zit. · arXiv (Cornell University)

Artificial intelligence and radiologists in pancreatic cancer detection using standard of care CT scans (PANORAMA): an international, paired, non-inferiority, confirmatory, observational study

2025 · 7 Zit. · The Lancet Oncology

Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation?

2024 · 2 Zit. · arXiv (Cornell University)

A Comprehensive Survey of AI Agents in Healthcare

2025 · 1 Zit.

A Comprehensive Survey of Agentic AI in Healthcare

2025 · 0 Zit.

Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation?

2024 · 0 Zit.

Text-Driven Tumor Synthesis

2026 · 0 Zit. · IEEE Transactions on Medical Imaging

Learning Segmentation from Radiology Reports

2025 · 0 Zit. · ArXiv.org