176 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Marquette UniversityUS6 papers
- Indiana University School of Medicine3 papers
- Queen Mary University of LondonGB3 papers
- The University of SydneyAU3 papers
- University Hospital BonnDE3 papers
- University of MichiganUS3 papers
- University of TorontoCA3 papers
- Aichi Medical UniversityJP2 papers
- Artificial Intelligence in Medicine (Canada)CA2 papers
- Baylor College of MedicineUS2 papers
- Bostwick LaboratoriesUS2 papers
- Cleveland ClinicUS2 papers
4 papers · 1 filter
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…