F. Minhas

发表

Deep-PHURIE: deep learning based hurricane intensity estimation from infrared satellite imagery

Amina Asif, Fayyaz ul Amir Afsar Minhas, Muhammad Dawood, 2019, Neural Computing and Applications.

Robust electrocardiogram (ECG) beat classification using discrete wavelet transform

F. Minhas, Muhammad Arif, 2008, Physiological measurement.

PHURIE: Hurricane Intensity Estimation from Infrared Satellite

M. DeMaria, Muhammad Dawood, Amina Asif, 2019 .

A Taxonomy of protein binding problems ( Research Exam )

F. Minhas, 2012 .

Novel deep learning algorithm predicts the status of molecular pathways and key mutations in colorectal cancer from routine histology images

N. Rajpoot, I. Cree, S. Raza, 2021, medRxiv.

Machine learning predicts new anti-CRISPR proteins

J. Doudna, G. Knott, A. T. Iavarone, 2020, Nucleic acids research.

ISLAND: In-Silico Prediction of Proteins Binding Affinity Using Sequence Descriptors

Fayyaz ul Amir Afsar Minhas, Wajid Arshad Abbasi, Fahad Ul Hassan, 2017, ArXiv.

βC1, pathogenicity determinant encoded by Cotton leaf curl Multan betasatellite, interacts with calmodulin-like protein 11 (Gh-CML11) in Gossypium hirsutum

Wajid Arshad Abbasi, F. Minhas, I. Amin, 2019, PloS one.

Cross-Domain Knowledge Transfer for Prediction of Chemosensitivity in Ovarian Cancer Patients

Nasir M. Rajpoot, Amina Asif, Shan-e-Ahmed Raza, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Elementary effects analysis of factors controlling COVID-19 infections in computational simulation reveals the importance of social distancing and mask usage pdf

Stephen A. Jarvis, Fayyaz Minhas, Kelvin K.F. Li, 2020, Computers in Biology and Medicine.

Lessons from a breast cell annotation competition series for school pupils

E. Rakha, C. Verrill, I. Miligy, 2022, Scientific Reports.

Visual histological assessment of morphological features reflects the underlying molecular profile in invasive breast cancer: a morphomolecular study

N. Rajpoot, A. Green, E. Rakha, 2020, Histopathology.

SlideGraph+: Whole Slide Image Level Graphs to Predict HER2 Status in Breast Cancer

E. Rakha, M. Toss, Muhammad Dawood, 2022, Medical Image Analysis.

In silico Prediction and Validations of Domains Involved in Gossypium hirsutum SnRK1 Protein Interaction With Cotton Leaf Curl Multan Betasatellite Encoded βC1

F. Minhas, I. Amin, S. Mansoor, 2019, Front. Plant Sci..

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

David B. A. Epstein, S. Raza, F. Minhas, 2022, Communications Medicine.

On the choice of negative examples for prediction of host-pathogen protein interactions

A. Ben-Hur, F. Minhas, Don Neumann, 2022, Frontiers in Bioinformatics.

HemoNet: Predicting hemolytic activity of peptides with integrated feature learning

F. Minhas, I. Amin, Adiba Yaseen, 2021, J. Bioinform. Comput. Biol..

Elementary effects analysis of factors controlling COVID-19 infections in computational simulation reveals the importance of social distancing and mask usage

Stephen A. Jarvis, Fayyaz Minhas, S. Jarvis, 2020, Computers in Biology and Medicine.

SlideGraph+: Whole Slide Image Level Graphs to Predict HER2Status in Breast Cancer pdf

Nasir Rajpoot, Wenqi Lu, Fayyaz Minhas, 2021, Medical Image Anal..

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

N. Rajpoot, I. Cree, S. Raza, 2021, The Lancet. Digital health.

Issues in performance evaluation for host-pathogen protein interaction prediction

Fayyaz ul Amir Afsar Minhas, Wajid Arshad Abbasi, F. Minhas, 2016, J. Bioinform. Comput. Biol..

CaMELS: In silico prediction of calmodulin binding proteins and their binding sites

Amina Asif, Wajid Arshad Abbasi, Saiqa Andleeb, 2017, Proteins.

Multiple instance learning of Calmodulin binding sites

Asa Ben-Hur, Fayyaz ul Amir Afsar Minhas, A. Ben-Hur, 2012, Bioinform..

Amino acid composition predicts prion activity

Asa Ben-Hur, Fayyaz ul Amir Afsar Minhas, Eric D. Ross, 2017, PLoS Comput. Biol..

MILAMP: Multiple Instance Prediction of Amyloid Proteins

Amina Asif, Farzeen Munir, Fayyaz Ul Amir Afsar Minhas, 2019, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

ISLAND: in-silico proteins binding affinity prediction using sequence information

Wajid Arshad Abbasi, Fahad Ul Hassan, Adiba Yaseen, 2020, BioData Mining.

ISLAND: In-Silico Prediction of Proteins Binding Affinity Using Sequence Descriptors pdf

Fayyaz ul Amir Afsar Minhas, Wajid Arshad Abbasi, Fahad Ul Hassan, 2017, ArXiv.

Training large margin host-pathogen protein-protein interaction predictors

Amina Asif, Wajid Arshad Abbasi, Sadaf Gull, 2017, J. Bioinform. Comput. Biol..

AcrDB: a database of anti-CRISPR operons in prokaryotes and viruses

Amina Asif, Trevor Lithgow, Fayyaz Ul Amir Afsar Minhas, 2020, Nucleic Acids Res..

A generalized meta-loss function for distillation and learning using privileged information for classification and regression pdf

Amina Asif, Muhammad Dawood, Fayyaz ul Amir Afsar Minhas, 2018, ICANN.

A Generalized Meta-loss function for regression and classification using privileged information

Amina Asif, Fayyaz ul Amir Afsar Minhas, Muhammad Dawood, 2018, 1811.06885.

Learning protein binding affinity using privileged information

Amina Asif, Asa Ben-Hur, Fayyaz ul Amir Afsar Minhas, 2017, BMC Bioinformatics.

CAF-Map

Amina Asif, Muhammad Arif, Fayyaz ul Amir Afsar Minhas, 2016 .

CAFÉ-Map: Context Aware Feature Mapping for mining high dimensional biomedical data

Muhammad Arif, Fayyaz Ul Amir Afsar Minhas, Amina Asif, 2016, Comput. Biol. Medicine.

ALBRT: Cellular Composition Prediction in Routine Histology Images

Nasir M. Rajpoot, Fayyaz ul Amir Afsar Minhas, Kim Branson, 2021, 2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW).

REET: Robustness Evaluation and Enhancement Toolbox for Computational Pathology

N. Rajpoot, Amina Asif, F. Minhas, 2022, Bioinform..

Towards Launching AI Algorithms for Cellular Pathology into Clinical & Pharmaceutical Orbits pdf

Amina Asif, Nasir Rajpoot, David Snead, 2021, ArXiv.

One Model is All You Need: Multi-Task Learning Enables Simultaneous Histology Image Segmentation and Classification

D. Snead, F. Minhas, N. Rajpoot, 2022, Medical Image Anal..

Semantic annotation for computational pathology: multidisciplinary experience and best practice recommendations pdf

Mohsin Bilal, Abhir Bhalerao, Nasir Rajpoot, 2021, The journal of pathology. Clinical research.

TIAToolbox: An End-to-End Toolbox for Advanced Tissue Image Analytics

David B. A. Epstein, N. Rajpoot, F. Minhas, 2021, bioRxiv.

Lizard: A Large-Scale Dataset for Colonic Nuclear Instance Segmentation and Classification

Nasir M. Rajpoot, Shan-e-Ahmed Raza, David R. J. Snead, 2021, 2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW).

Capturing Cellular Topology in Multi-Gigapixel Pathology Images

Nasir Rajpoot, Wenqi Lu, Fayyaz Minhas, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting

Angelica I. Avilés-Rivero, Josef Lorenz Rumberger, Marcel P. Schilling, 2023, ArXiv.

MOX: A novel global optimization algorithm inspired from Oviposition site selection and egg hatching inhibition in mosquitoes

Muhammad Arif, Fayyaz ul Amir Afsar Minhas, F. Minhas, 2011, Appl. Soft Comput..

Simple non-iterative clustering and CNNs for coarse segmentation of breast cancer whole-slide images

Nasir M. Rajpoot, Fayyaz Minhas, Muhammad Shaban, 2021, Medical Imaging.

Improving COVID-19 Testing Efficiency using Guided Agglomerative Sampling

Nasir Rajpoot, David Snead, Asa Ben-Hur, 2020, bioRxiv.

CoNIC: Colon Nuclei Identification and Counting Challenge 2022 pdf

Nasir Rajpoot, David Snead, Quoc Dang Vu, 2021, ArXiv.

An embarrassingly simple approach to neural multiple instance classification pdf

Amina Asif, Fayyaz ul Amir Afsar Minhas, Amina Asif, 2019, Pattern Recognit. Lett..

Machine Learning with Abstention for Automated Liver Disease Diagnosis

Amina Asif, Fayyaz ul Amir Afsar Minhas, Wajid Arshad Abbasi, 2017, 2017 International Conference on Frontiers of Information Technology (FIT).

AMAP: Hierarchical multi-label prediction of biologically active and antimicrobial peptides

Sadaf Gull, Fayyaz Minhas, Nauman Shamim, 2019, Comput. Biol. Medicine.

Pruned fuzzy K-nearest neighbor classifier for beat classification

Muhammad Arif, Muhammad Usman Akram, Fayyaz-ul-Afsar Amir Minhas, 2010 .

PHURIE: hurricane intensity estimation from infrared satellite imagery using machine learning

Amina Asif, Fayyaz ul Amir Afsar Minhas, Mark DeMaria, 2018, Neural Computing and Applications.

All You Need is Color: Image based Spatial Gene Expression Prediction using Neural Stain Learning pdf

Nasir M. Rajpoot, Fayyaz ul Amir Afsar Minhas, Kim Branson, 2021, PKDD/ECML Workshops.

Deep learning based digital cell profiles for risk stratification of urine cytology images

M. Shaban, N. Rajpoot, Ruqayya Awan, 2021, Cytometry. Part A : the journal of the International Society for Analytical Cytology.

Data-Driven Modelling of Gene Expression States in Breast Cancer and their Prediction from Routine Whole Slide Images

A. Ben-Hur, K. Branson, Muhammad Dawood, 2023, bioRxiv.

Maximum Mean Discrepancy Kernels for Predictive and Prognostic Modeling of Whole Slide Images

Muhammad Dawood, F. Minhas, Piotr Keller, 2023, 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI).

Cancer drug sensitivity prediction from routine histology images

K. Branson, Muhammad Dawood, F. Minhas, 2023, bioRxiv.

Automated Classification of Liver Disorders using Ultrasound Images

Fayyaz ul Amir Afsar Minhas, Mutawarra Hussain, Durre Sabih, 2012, Journal of Medical Systems.

Generalized Neural Framework for Learning with Rejection

Amina Asif, Fayyaz ul Amir Afsar Minhas, Amina Asif, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

Generalized Learning with Rejection for Classification and Regression Problems pdf

Amina Asif, Fayyaz ul Amir Afsar Minhas, Amina Asif, 2019, ArXiv.

pyLEMMINGS: Large Margin Multiple Instance Classification and Ranking for Bioinformatics Applications pdf

Amina Asif, Farzeen Munir, Asa Ben-Hur, 2017, ArXiv.

AI based pre-screening of large bowel cancer via weakly supervised learning of colorectal biopsy histology images

N. Rajpoot, Y. Tsang, S. Raza, 2022, medRxiv.

Insights into performance evaluation of com-pound-protein interaction prediction methods

A. Ben-Hur, F. Minhas, I. Amin, 2022, Bioinformatics.

SAFRON: Stitching Across the Frontier Network for Generating Colorectal Cancer Histology Images

N. Rajpoot, F. Minhas, S. Graham, 2021, Medical Image Anal..

AutoQP: Genetic Programming for Quantum Programming

Fayyaz ul Amir Afsar Minhas, Usama Ahsan, F. Minhas, 2020, 2020 17th International Bhurban Conference on Applied Sciences and Technology (IBCAST).

Learning protein binding affinity using privileged information

Wajid Arshad Abbasi, A. Ben-Hur, Amina Asif, 2018, BMC Bioinform..

Deep and Self-Taught Learning for Protein Accessible Surface Area Prediction

Fayyaz ul Amir Afsar Minhas, Fahad Ul Hassan, F. Minhas, 2017, 2017 International Conference on Frontiers of Information Technology (FIT).

Now You See It, Now You Dont: Adversarial Vulnerabilities in Computational Pathology pdf

Amina Asif, Nasir Rajpoot, Ayesha Azam, 2021, ArXiv.

Real time eye tracking using Kalman extended spatio-temporal context learning

Abdul Jalil, Moongu Jeon, Farzeen Munir, 2017, International Workshop on Pattern Recognition.

L1-regularized neural ranking for risk stratification and its application to prediction of time to distant metastasis in luminal node negative chemotherapy naïve breast cancer patients

N. Rajpoot, E. Rakha, M. Toss, 2021, PKDD/ECML Workshops.

Correlation Filters for Detection of Cellular Nuclei in Histopathology Images

Nasir M. Rajpoot, Muhammad Arif, Asif Ahmad, 2017, Journal of Medical Systems.

SynCLay: Interactive Synthesis of Histology Images from Bespoke Cellular Layouts

Muhammad Dawood, F. Minhas, N. Rajpoot, 2022, ArXiv.

Cross-linking breast tumor transcriptomic states and tissue histology.

Muhammad Dawood, F. Minhas, N. Rajpoot, 2023, Cell reports. Medicine.

PHURIE: hurricane intensity estimation from infrared satellite imagery using machine learning

M. DeMaria, Muhammad Dawood, Amina Asif, 2018, Neural Computing and Applications.

CAFÉ-Map: Context Aware Feature Mapping for mining high dimensional biomedical data

Amina Asif, F. Minhas, Muhammad Arif, 2016, Comput. Biol. Medicine.

Stain-Robust Mitotic Figure Detection for the Mitosis Domain Generalization Challenge pdf

Mohsin Bilal, Nasir Rajpoot, Neda Zamani Tajeddin, 2021, MIDOG/MOOD/Learn2Reg@MICCAI.

Buyer Beware: confounding factors and biases abound when predicting omics-based biomarkers from histological images

Muhammad Dawood, F. Minhas, N. Rajpoot, 2024, bioRxiv.