Dianbo Liu
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
LoAdaBoost:Loss-Based AdaBoost Federated Machine Learning on medical Data
2018 · 64 Zit. · arXiv (Cornell University)
LoAdaBoost: loss-based AdaBoost federated machine learning with reduced computational complexity on IID and non-IID intensive care data
2018 · 14 Zit. · arXiv (Cornell University)
High Performance Computing on Flat FHIR Files Created with the New SMART/HL7 Bulk Data Access Standard.
2019 · 12 Zit. · PubMed
Ophthalmological Question Answering and Reasoning Using OpenAI o1 vs Other Large Language Models
2025 · 11 Zit. · JAMA Ophthalmology
Stochastic Channel-Based Federated Learning With Neural Network Pruning for Medical Data Privacy Preservation: Model Development and Experimental Validation
2020 · 9 Zit. · JMIR Formative Research
Using Artificial Neural Network Condensation to Facilitate Adaptation of Machine Learning in Medical Settings by Reducing Computational Burden: Model Design and Evaluation Study
2020 · 8 Zit. · JMIR Formative Research
Can OpenAI o1 Reason Well in Ophthalmology? A 6,990-Question Head-to-Head Evaluation Study
2025 · 2 Zit. · ArXiv.org
Safety challenges of AI in medicine in the era of large language models
2024 · 2 Zit. · arXiv (Cornell University)
BEnchmarking LLMs for Ophthalmology (BELO) for Ophthalmological Knowledge and Reasoning
2025 · 1 Zit. · ArXiv.org
LEME: Open Large Language Models for Ophthalmology with Advanced Reasoning and Clinical Validation
2024 · 1 Zit. · arXiv (Cornell University)
Benchmarking Next-Generation Reasoning-Focused Large Language Models in Ophthalmology: A Head-to-Head Evaluation on 5,888 Items
2025 · 0 Zit. · ArXiv.org
Stochastic Channel-Based Federated Learning With Neural Network Pruning for Medical Data Privacy Preservation: Model Development and Experimental Validation (Preprint)
2019 · 0 Zit.
BEnchmarking Large Language Models for Ophthalmology (BELO): An Expert-Curated Data Set and Evaluation Framework for Knowledge and Reasoning
2025 · 0 Zit. · Ophthalmology Science
CXR-LanIC: Language-Grounded Interpretable Classifier for Chest X-Ray Diagnosis
2025 · 0 Zit. · ArXiv.org