Automated analysis of retinal imaging using machine learning techniques for computer vision

por De Fauw, Jeffrey, Keane, Pearse, Tomasev, Nenad, Visentin, Daniel, van den Driessche, George, Johnson, Mike, Hughes, Cian O, Chu, Carlton, Ledsam, Joseph, Back, Trevor, Peto, Tunde, Rees, Geraint, Montgomery, Hugh, Raine, Rosalind, Ronneberger, Olaf, Cornebise, Julien
Publicado 2017

Validation and Clinical Applicability of Whole-Volume Automated Segmentation of Optical Coherence Tomography in Retinal Disease Using Deep Learning

por Wilson, Marc, Chopra, Reena, Wilson, Megan Z., Cooper, Charlotte, MacWilliams, Patricia, Liu, Yun, Wulczyn, Ellery, Florea, Daniela, Hughes, Cían O., Karthikesalingam, Alan, Khalid, Hagar, Vermeirsch, Sandra, Nicholson, Luke, Keane, Pearse A., Balaskas, Konstantinos, Kelly, Christopher J.
Publicado 2021

A Clinically Applicable Approach to Continuous Prediction of Future Acute Kidney Injury

por Tomašev, Nenad, Glorot, Xavier, Rae, Jack W., Zielinski, Michal, Askham, Harry, Saraiva, Andre, Mottram, Anne, Meyer, Clemens, Ravuri, Suman, Protsyuk, Ivan, Connell, Alistair, Hughes, Cían O., Karthikesalingam, Alan, Cornebise, Julien, Montgomery, Hugh, Rees, Geraint, Laing, Chris, Baker, Clifton R., Peterson, Kelly, Reeves, Ruth, Hassabis, Demis, King, Dominic, Suleyman, Mustafa, Back, Trevor, Nielson, Christopher, Ledsam, Joseph R., Mohamed, Shakir
Publicado 2019

Validation of clinical acceptability of deep-learning-based automated segmentation of organs-at-risk for head-and-neck radiotherapy treatment planning

por Lucido, J. John, DeWees, Todd A., Leavitt, Todd R., Anand, Aman, Beltran, Chris J., Brooke, Mark D., Buroker, Justine R., Foote, Robert L., Foss, Olivia R., Gleason, Angela M., Hodge, Teresa L., Hughes, Cían O., Hunzeker, Ashley E., Laack, Nadia N., Lenz, Tamra K., Livne, Michelle, Morigami, Megumi, Moseley, Douglas J., Undahl, Lisa M., Patel, Yojan, Tryggestad, Erik J., Walker, Megan Z., Zverovitch, Alexei, Patel, Samir H.
Publicado 2023