216 citations
- New York UniversityUS15 papers
- The University of Texas Southwestern Medical CenterUS9 papers
- Southwestern Medical CenterUS7 papers
- Center for Advanced Imaging Innovation and ResearchUS4 papers
- Athinoula A. Martinos Center for Biomedical ImagingUS3 papers
- Duke UniversityUS3 papers
- German Centre for Cardiovascular ResearchDE3 papers
- Graz University of TechnologyAT3 papers
- Massachusetts General HospitalUS3 papers
- The University of Texas MD Anderson Cancer CenterUS3 papers
- University of UtahUS3 papers
- Arizona State UniversityUS2 papers
36 papers
AUCp: Pseudo-AUC for Inference Model Selection with Unlabeled Validation Data in Abnormality Detection
Md Mahfuzur Rahman Siddiquee, Fazle Rafsani, Jay Shah +4
Abnormality detection is a crucial yet challenging task in medical image analysis. Distinguishing abnormalities from normal data by learning to reconstruct normal-only data allevia…
Optimized Photoemission from Organic Molecules in 2D Layered Halide Perovskites
Muhammad S. Muhammad, Dilruba A. Popy, Hamza Shoukat +12
In recent years, hybrid organic-inorganic metal halides have been at the forefront of materials research. Typically, the functional (e.g., optoelectronic) properties of hybrid hali…
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…
Inductive Learning for Possibilistic Logic Programs Under Stable Models
Hongbo Hu, Yisong Wang, Yi Huang +1
Possibilistic logic programs (poss-programs) under stable models are a major variant of answer set programming (ASP). While its semantics (possibilistic stable models) and properti…
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…
Modality-agnostic, patient-specific digital twins modeling temporally varying digestive motion
Jorge Tapias Gomez, Nishant Nadkarni, Lando S. Bosma +7
Objective: Clinical implementation of deformable image registration (DIR) requires voxel-based spatial accuracy metrics such as manually identified landmarks, which are challenging…