176 citations
- Marquette UniversityUS5 papers
- Artificial Intelligence in Medicine (Canada)CA2 papers
- Baylor College of MedicineUS2 papers
- Cornell UniversityUS2 papers
- Georgia State UniversityUS2 papers
- Harvard UniversityUS2 papers
- Heidelberg UniversityDE2 papers
- Indiana University – Purdue University IndianapolisUS2 papers
- Indiana University School of Medicine2 papers
- Massachusetts General HospitalUS2 papers
- Queen Mary University of LondonGB2 papers
- Stanford UniversityUS2 papers
26 papers
Breast Cancer Classification in Deep Ultraviolet Fluorescence Images Using a Patch-Level Vision Transformer Framework
Pouya Afshin, David Helminiak, Tongtong Lu +5
Breast-conserving surgery (BCS) aims to completely remove malignant lesions while maximizing healthy tissue preservation. Intraoperative margin assessment is essential to achieve a…
Contextual Embedding-based Clustering to Identify Topics for Healthcare Service Improvement
K M Sajjadul Islam, Ravi Teja Karri, Srujan Vegesna +2
Understanding patient feedback is crucial for improving healthcare services, yet analyzing unlabeled short-text feedback presents challenges due to limited data and domain-specific…
Deep learning for automated detection of breast cancer in deep ultraviolet fluorescence images with diffusion probabilistic model
Sepehr Salem Ghahfarokhi, Tyrell To, Julie Jorns +3
Data limitation is a significant challenge in applying deep learning to medical images. Recently, the diffusion probabilistic model (DPM) has shown the potential to generate high-q…
Topological Embedding of Human Brain Networks with Applications to Dynamics of Temporal Lobe Epilepsy
Moo K. Chung, Ji Bi Che, Veena A. Nair +7
We introduce a novel, data-driven topological data analysis (TDA) approach for embedding brain networks into a lower-dimensional space in quantifying the dynamics of temporal lobe…
Dimensional Neuroimaging Endophenotypes: Neurobiological Representations of Disease Heterogeneity Through Machine Learning
Junhao Wen, Mathilde Antoniades, Zhijian Yang +4
Machine learning has been increasingly used to obtain individualized neuroimaging signatures for disease diagnosis, prognosis, and response to treatment in neuropsychiatric and neu…
Rapid Estimation of Left Ventricular Contractility with a Physics-Informed Neural Network Inverse Modeling Approach
Ehsan Naghavi, Haifeng Wang, Lei Fan +4
Physics-based computer models based on numerical solution of the governing equations generally cannot make rapid predictions, which in turn, limits their applications in the clinic…