134 citations
- The University of Texas Southwestern Medical CenterUS39 papers
- Advanced Imaging Research (United States)US5 papers
- Stanford UniversityUS4 papers
- Harvard UniversityUS3 papers
- Harvard University PressUS3 papers
- Johns Hopkins UniversityUS3 papers
- Massachusetts General HospitalUS3 papers
- Radiation Oncology AssociatesUS3 papers
- Centre for Biomedical Engineering and PhysicsSE2 papers
- Georgia Institute of TechnologyUS2 papers
- Kennedy Krieger InstituteUS2 papers
- National Institutes of HealthUS2 papers
39 papers
Reviewing Model Collapse and Countermeasures
Xihao Xie, Beichen Hu
Driven by massive amounts of web-scale data, generative AI (GenAI) has achieved remarkable progress, enabling various applications in diverse sectors. The advances of GenAI have ac…
Scale-aware Adaptive Supervised Network with Limited Medical Annotations
Zihan Li, Dandan Shan, Yunxiang Li +2
Medical image segmentation faces critical challenges in semi-supervised learning scenarios due to severe annotation scarcity requiring expert radiological knowledge, significant in…
Quantum Entanglement Control in Two-Spin-1/2 NMR Systems Through Magnetic Fields and Temperature
Fatemeh Khashami, Stefan Glöggler
We investigate quantum entanglement in two-spin-1/2 NMR systems at thermal equilibrium under external magnetic fields. We derive closed-form analytical expressions for the entangle…
MC BTS: simultaneously resolving magnetization transfer effect and relaxation for multiple components
Albert Jang, Hyungseok Jang, Nian Wang +2
We propose a signal acquisition and modeling framework for multi-component tissue quantification that encompasses transmit field inhomogeneity, multi-component relaxation and magne…
Deformable Image Registration for Self-supervised Cardiac Phase Detection in Multi-View Multi-Disease Cardiac Magnetic Resonance Images
Sven Koehler, Sarah Kaye Mueller, Jonathan Kiekenap +6
Cardiovascular magnetic resonance (CMR) is the gold standard for assessing cardiac function, but individual cardiac cycles complicate automatic temporal comparison or sub-phase ana…
Causal Machine Learning for Surgical Interventions
J. Ben Tamo, Nishant S. Chouhan, Micky C. Nnamdi +6
Surgical decision-making is complex and requires understanding causal relationships between patient characteristics, interventions, and outcomes. In high-stakes settings like spina…