Fayyaz ul Amir Afsar Minhas
Fayyaz ul Amir Afsar Minhas
University of Warwick
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Cited by
Cited by
RAMClust: a novel feature clustering method enables spectral-matching-based annotation for metabolomics data
CD Broeckling, FA Afsar, S Neumann, A Ben-Hur, JE Prenni
Analytical chemistry 86 (14), 6812-6817, 2014
Detection and localization of myocardial infarction using k-nearest neighbor classifier
M Arif, IA Malagore, FA Afsar
Journal of medical systems 36, 279-289, 2012
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 …
M Bilal, SEA Raza, A Azam, S Graham, M Ilyas, IA Cree, D Snead, ...
The Lancet Digital Health 3 (12), e763-e772, 2021
Fingerprint identification and verification system using minutiae matching
FA Afsar, M Arif, M Hussain
National conference on emerging technologies 2, 141-146, 2004
Robust electrocardiogram (ECG) beat classification using discrete wavelet transform
M Arif
Physiological measurement 29 (5), 555, 2008
Lizard: a large-scale dataset for colonic nuclear instance segmentation and classification
S Graham, M Jahanifar, A Azam, M Nimir, YW Tsang, K Dodd, E Hero, ...
Proceedings of the IEEE/CVF international conference on computer vision, 684-693, 2021
PAIRpred: partner‐specific prediction of interacting residues from sequence and structure
FA Afsar Minhas, BJ Geiss, A Ben‐Hur
Proteins: Structure, Function, and Bioinformatics 82 (7), 1142-1155, 2014
Machine learning predicts new anti-CRISPR proteins
S Eitzinger, A Asif, KE Watters, AT Iavarone, GJ Knott, JA Doudna, ...
Nucleic acids research 48 (9), 4698-4708, 2020
Capturing cellular topology in multi-gigapixel pathology images
W Lu, S Graham, M Bilal, N Rajpoot, F Minhas
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
Automated classification of liver disorders using ultrasound images
FAA Minhas, D Sabih, M Hussain
Journal of medical systems 36, 3163-3172, 2012
SlideGraph+: Whole slide image level graphs to predict HER2 status in breast cancer
W Lu, M Toss, M Dawood, E Rakha, N Rajpoot, F Minhas
Medical Image Analysis 80, 102486, 2022
Conic: Colon nuclei identification and counting challenge 2022
S Graham, M Jahanifar, QD Vu, G Hadjigeorghiou, T Leech, D Snead, ...
arXiv preprint arXiv:2111.14485, 2021
AMAP: Hierarchical multi-label prediction of biologically active and antimicrobial peptides
S Gull, N Shamim, F Minhas
Computers in biology and medicine 107, 172-181, 2019
Automatic detection and localization of myocardial infarction using back propagation neural networks
M Arif, IA Malagore, FA Afsar
2010 4th International Conference on Bioinformatics and Biomedical …, 2010
One model is all you need: multi-task learning enables simultaneous histology image segmentation and classification
S Graham, QD Vu, M Jahanifar, SEA Raza, F Minhas, D Snead, N Rajpoot
Medical Image Analysis 83, 102685, 2023
Detection of ST segment deviation episodes in ECG using KLT with an ensemble neural classifier
FA Afsar, M Arif, J Yang
Physiological measurement 29 (7), 747, 2008
Pruned fuzzy K-nearest neighbor classifier for beat classification
M Arif, MU Akram
Journal of Biomedical Science and Engineering 3 (04), 380, 2010
ISLAND: in-silico proteins binding affinity prediction using sequence information
WA Abbasi, A Yaseen, FU Hassan, S Andleeb, FUAA Minhas
BioData Mining 13, 1-13, 2020
Deep-PHURIE: deep learning based hurricane intensity estimation from infrared satellite imagery
M Dawood, A Asif, FAA Minhas
Neural Computing and Applications 32 (13), 9009-9017, 2020
TIAToolbox as an end-to-end library for advanced tissue image analytics
J Pocock, S Graham, QD Vu, M Jahanifar, S Deshpande, ...
Communications medicine 2 (1), 120, 2022
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