55 citations · 157 across the 9 of their papers we have counts for
5 papers · 1 filter
Out of distribution detection for intra-operative functional imaging
Tim J. Adler, Leonardo Ayala, Lynton Ardizzone +6
Multispectral optical imaging is becoming a key tool in the operating room. Recent research has shown that machine learning algorithms can be used to convert pixel-wise reflectance…
Band selection for oxygenation estimation with multispectral/hyperspectral imaging
Leonardo A. Ayala, Fabian Isensee, Sebastian J. Wirkert +4
Multispectral imaging provides valuable information on tissue composition such as hemoglobin oxygen saturation. However, the real-time application of this technique in intervention…
Survey of Computer Vision and Machine Learning in Gastrointestinal Endoscopy
Anant S. Vemuri
This paper attempts to provide the reader a place to begin studying the application of computer vision and machine learning to gastrointestinal (GI) endoscopy. They have been class…
Hyperspectral Camera Selection for Interventional Health-care
Anant S. Vemuri, Sebastian Wirkert, Lena Maier-Hein
Hyperspectral imaging (HSI) is an emerging modality in health-care applications for disease diagnosis, tissue assessment and image-guided surgery. Tissue reflectances captured by a…
Uncertainty-aware performance assessment of optical imaging modalities with invertible neural networks
Tim J. Adler, Lynton Ardizzone, Anant Vemuri +8
Purpose: Optical imaging is evolving as a key technique for advanced sensing in the operating room. Recent research has shown that machine learning algorithms can be used to addres…