Screening colonoscopy is an important clinical application for several 3...
A major challenge in applying deep learning to medical imaging is the pa...
Oblique back-illumination capillaroscopy has recently been introduced as...
While data-driven approaches excel at many image analysis tasks, the
per...
Spatial frequency domain imaging (SFDI) is a powerful technique for mapp...
Medical endoscopy remains a challenging application for simultaneous
loc...
We present a deep learning framework for wide-field, content-aware estim...
We propose the fusion discriminator, a single unified framework for
inco...
Humans make accurate decisions by interpreting complex data from multipl...
We present a deep learning approach for laser speckle reduction ('DeepLS...
Nuclei segmentation is a fundamental task that is critical for various
c...
Monocular depth estimation is an extensively studied computer vision pro...
Deep learning has emerged as a powerful artificial intelligence tool to
...
To realize the full potential of deep learning for medical imaging, larg...
Colorectal cancer is the fourth leading cause of cancer deaths worldwide...