David Snead
University of Warwick(GB)
Publications by Year
Research Areas
AI in cancer detection, Radiomics and Machine Learning in Medical Imaging, Colorectal Cancer Screening and Detection, Cell Image Analysis Techniques, Sports Performance and Training
Most-Cited Works
- → Locality Sensitive Deep Learning for Detection and Classification of Nuclei in Routine Colon Cancer Histology Images(2016)1,231 cited
- → Gland segmentation in colon histology images: The glas challenge contest(2016)933 cited
- → Analysis of 1-Year Clinical Outcomes in the SIRIUS Trial(2004)515 cited
- → Stent Placement Compared with Balloon Angioplasty for Obstructed Coronary Bypass Grafts(1997)483 cited
- → MILD-Net: Minimal information loss dilated network for gland instance segmentation in colon histology images(2018)330 cited
- → Development and validation of a weakly supervised deep learning framework to predict the status of molecular pathways and key mutations in colorectal cancer from routine histology images: a retrospective study(2021)267 cited