Publications (19)
Optical Tomographic Imaging for Breast Cancer Detection
Wenxiang Cong, Xavier Intes, Ge Wang
Diffuse optical breast imaging utilizes near-infrared (NIR) light propagation through tissues to assess the optical properties of tissue for the identification of abnormal tissue.…
Compositional amortized inference for large-scale hierarchical Bayesian models
Jonas Arruda, Vikas Pandey, Catherine Sherry +4
Amortized Bayesian inference (ABI) with neural networks has emerged as a powerful simulation-based approach for estimating complex mechanistic models. However, extending ABI to hie…
Video-based Formative and Summative Assessment of Surgical Tasks using Deep Learning
Erim Yanik, Uwe Kruger, Xavier Intes +2
To ensure satisfactory clinical outcomes, surgical skill assessment must be objective, time-efficient, and preferentially automated - none of which is currently achievable. Video-b…
Reconstruction of optical parameters for molecular tomographic imaging
Wenxiang Cong, Xavier Intes, Ge Wang
Optical molecular tomographic imaging is to reconstruct the concentration distribution of photon-molecular probes in a small animal from measured photon fluence rates. The localiza…
Enhancing Fluorescence Lifetime Parameter Estimation Accuracy with Differential Transformer Based Deep Learning Model Incorporating Pixelwise Instrument Response Function
Ismail Erbas, Vikas Pandey, Navid Ibtehaj Nizam +4
Fluorescence Lifetime Imaging (FLI) is a critical molecular imaging modality that provides unique information about the tissue microenvironment, which is invaluable for biomedical…
Deep learning in biomedical optics
Lei Tian, Brady Hunt, Muyinatu A. Lediju Bell +5
This article reviews deep learning applications in biomedical optics with a particular emphasis on image formation. The review is organized by imaging domains within biomedical opt…