Fayyaz Minhas

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

Mohsin Bilal, Shan E Ahmed Raza, Ayesha Azam et al. · The Lancet Digital Health · 2021 · 277 citations · Full text

Medicine, Oncology, Pathology +17

One model is all you need: Multi-task learning enables simultaneous histology image segmentation and classification

Simon Graham, Quoc Dang Vu, Mostafa Jahanifar et al. · Medical Image Analysis · 2022 · 137 citations · Full text

Computing, Computer Science, Pathology +17

PAIRpred: Partner‐specific prediction of interacting residues from sequence and structure

Fayyaz Minhas, Brian J. Geiss, Asa Ben‐Hur · Proteins Structure Function and Bioinformatics · 2013 · 131 citations · Full text

Life Sciences, Bioinformatics, Molecular Biology +17

Machine learning predicts new anti-CRISPR proteins

Simon Eitzinger, Amina Asif, Kyle E. Watters et al. · Nucleic Acids Research · 2020 · 118 citations · Full text

Life Sciences, Bioinformatics, Biotechnology +13

TIAToolbox as an end-to-end library for advanced tissue image analytics

Johnathan Pocock, Simon Graham, Quoc Dang Vu et al. · Communications Medicine · 2022 · 114 citations · Full text

Computing, Biomedical Informatics, Pathology +14