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Amina Asif
Amina Asif
Department of Computer Science, University of Warwick, UK
Verified email at warwick.ac.uk
Title
Cited by
Cited by
Year
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
832020
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
432020
Machine learning with abstention for automated liver disease diagnosis
K Hamid, A Asif, W Abbasi, D Sabih
2017 International Conference on Frontiers of Information Technology (FIT …, 2017
362017
Learning protein binding affinity using privileged information
WA Abbasi, A Asif, A Ben-Hur, FAA Minhas
BMC bioinformatics 19, 1-12, 2018
342018
AcrDB: a database of anti-CRISPR operons in prokaryotes and viruses
L Huang, B Yang, H Yi, A Asif, J Wang, T Lithgow, H Zhang, FAA Minhas, ...
Nucleic Acids Research 49 (D1), D622-D629, 2021
322021
PHURIE: hurricane intensity estimation from infrared satellite imagery using machine learning
A Asif, M Dawood, B Jan, J Khurshid, M DeMaria, FAA Minhas
Neural Computing and Applications 32, 4821-4834, 2020
322020
CaMELS: In silico prediction of calmodulin binding proteins and their binding sites
WA Abbasi, A Asif, S Andleeb, FUAA Minhas
Proteins: Structure, Function, and Bioinformatics 85 (9), 1724-1740, 2017
302017
Training host-pathogen protein–protein interaction predictors
AH Basit, WA Abbasi, A Asif, S Gull, FUAA Minhas
Journal of bioinformatics and computational biology 16 (04), 1850014, 2018
292018
Correlation filters for detection of cellular nuclei in histopathology images
A Ahmad, A Asif, N Rajpoot, M Arif, FAA Minhas
Journal of medical systems 42, 1-8, 2018
162018
An aggregation of aggregation methods in computational pathology
M Bilal, R Jewsbury, R Wang, HM AlGhamdi, A Asif, M Eastwood, ...
Medical Image Analysis, 102885, 2023
152023
Now you see it, now you dont: adversarial vulnerabilities in computational pathology
A Foote, A Asif, A Azam, T Marshall-Cox, N Rajpoot, F Minhas
arXiv preprint arXiv:2106.08153, 2021
142021
An embarrassingly simple approach to neural multiple instance classification
A Asif
Pattern Recognition Letters 128, 474-479, 2019
122019
REET: robustness evaluation and enhancement toolbox for computational pathology
A Foote, A Asif, N Rajpoot, F Minhas
Bioinformatics 38 (12), 3312-3314, 2022
112022
MILAMP: multiple instance prediction of amyloid proteins
F Munir, S Gul, A Asif
IEEE/ACM Transactions on Computational Biology and Bioinformatics 18 (3 …, 2019
112019
Cross-domain knowledge transfer for prediction of chemosensitivity in ovarian cancer patients
A Yaar, A Asif, SEA Raza, N Rajpoot, F Minhas
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
82020
Ten ways to fool the masses with machine learning
F Minhas, A Asif, A Ben-Hur
arXiv preprint arXiv:1901.01686, 2019
82019
Towards launching AI algorithms for cellular pathology into clinical & pharmaceutical orbits
A Asif, K Rajpoot, D Snead, F Minhas, N Rajpoot
arXiv preprint arXiv:2112.09496, 2021
72021
Fayyaz ul Amir Afsar Minhas. 2020
S Eitzinger, A Asif, KE Watters, AT Iavarone, GJ Knott, JA Doudna
Machine learning predicts new anti-CRISPR proteins. Nucleic acids research …, 2020
62020
Unleashing the potential of AI for pathology: challenges and recommendations
A Asif, K Rajpoot, S Graham, D Snead, F Minhas, N Rajpoot
The Journal of Pathology 260 (5), 564-577, 2023
52023
Generalized neural framework for learning with rejection
A Asif
2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020
4*2020
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