Fayyaz ul Amir Afsar Minhas

Orcid: 0000-0001-9129-1189

Affiliations:
  • Pakistan Institute of Engineering and Applied Sciences, Islamabad, Pakistan


According to our database1, Fayyaz ul Amir Afsar Minhas authored at least 73 papers between 2009 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
CoNIC Challenge: Pushing the frontiers of nuclear detection, segmentation, classification and counting.
Medical Image Anal., February, 2024

SynCLay: Interactive synthesis of histology images from bespoke cellular layouts.
Medical Image Anal., January, 2024

TIAViz: A Browser-based Visualization Tool for Computational Pathology Models.
CoRR, 2024

Efficient Parameter Optimisation for Quantum Kernel Alignment: A Sub-sampling Approach in Variational Training.
CoRR, 2024

2023
Malignant Mesothelioma subtyping via sampling driven multiple instance prediction on tissue image and cell morphology data.
Artif. Intell. Medicine, September, 2023

One model is all you need: Multi-task learning enables simultaneous histology image segmentation and classification.
Medical Image Anal., 2023

Domain Generalization in Computational Pathology: Survey and Guidelines.
CoRR, 2023

A Fully Automated and Explainable Algorithm for the Prediction of Malignant Transformation in Oral Epithelial Dysplasia.
CoRR, 2023

Synthesis of Annotated Colorectal Cancer Tissue Images from Gland Layout.
CoRR, 2023

CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting.
CoRR, 2023

MesoGraph: Automatic Profiling of Malignant Mesothelioma Subtypes from Histological Images.
CoRR, 2023

Nuclear Segmentation and Classification: On Color & Compression Generalization.
CoRR, 2023

Do Tissue Source Sites Leave Identifiable Signatures in Whole Slide Images Beyond Staining?
Proceedings of the Trustworthy Machine Learning for Healthcare, 2023

Maximum Mean Discrepancy Kernels for Predictive and Prognostic Modeling of Whole Slide Images.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022
AMP<sub>0</sub>: Species-Specific Prediction of Anti-microbial Peptides Using Zero and Few Shot Learning.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022

SlideGraph+: Whole slide image level graphs to predict HER2 status in breast cancer.
Medical Image Anal., 2022

SAFRON: Stitching Across the Frontier Network for Generating Colorectal Cancer Histology Images.
Medical Image Anal., 2022

On the choice of negative examples for prediction of host-pathogen protein interactions.
Frontiers Bioinform., 2022

One Model is All You Need: Multi-Task Learning Enables Simultaneous Histology Image Segmentation and Classification.
CoRR, 2022

Insights into performance evaluation of com-pound-protein interaction prediction methods.
CoRR, 2022

REET: robustness evaluation and enhancement toolbox for computational pathology.
Bioinform., 2022

Nuclear Segmentation and Classification: On Color and Compression Generalization.
Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 2022

Neural Graph Modelling of Whole Slide Images for Survival Ranking.
Proceedings of the Learning on Graphs Conference, 2022

Malignant Mesothelioma Subtyping of Tissue Images via Sampling Driven Multiple Instance Prediction.
Proceedings of the Artificial Intelligence in Medicine, 2022

2021
MILAMP: Multiple Instance Prediction of Amyloid Proteins.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021

AcrDB: a database of anti-CRISPR operons in prokaryotes and viruses.
Nucleic Acids Res., 2021

HemoNet: Predicting hemolytic activity of peptides with integrated feature learning.
J. Bioinform. Comput. Biol., 2021

Towards Launching AI Algorithms for Cellular Pathology into Clinical & Pharmaceutical Orbits.
CoRR, 2021

CoNIC: Colon Nuclei Identification and Counting Challenge 2022.
CoRR, 2021

SlideGraph+: Whole Slide Image Level Graphs to Predict HER2Status in Breast Cancer.
CoRR, 2021

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.
CoRR, 2021

Semantic annotation for computational pathology: Multidisciplinary experience and best practice recommendations.
CoRR, 2021

Now You See It, Now You Dont: Adversarial Vulnerabilities in Computational Pathology.
CoRR, 2021

Elementary effects analysis of factors controlling COVID-19 infections in computational simulation reveals the importance of social distancing and mask usage.
Comput. Biol. Medicine, 2021

L<sub>1</sub>-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.
Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2021

All You Need is Color: Image Based Spatial Gene Expression Prediction Using Neural Stain Learning.
Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2021

Simple non-iterative clustering and CNNs for coarse segmentation of breast cancer whole-slide images.
Proceedings of the Medical Imaging 2021: Digital Pathology, Online, February 15-19, 2021, 2021

Stain-Robust Mitotic Figure Detection for the Mitosis Domain Generalization Challenge.
Proceedings of the Biomedical Image Registration, Domain Generalisation and Out-of-Distribution Analysis - MICCAI 2021 Challenges: MIDOG 2021, MOOD 2021, and Learn2Reg 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021

Lizard: A Large-Scale Dataset for Colonic Nuclear Instance Segmentation and Classification.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

ALBRT: Cellular Composition Prediction in Routine Histology Images.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

A Generalized Meta-loss Function for Distillation Based Learning Using Privileged Information for Classification and Regression.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

2020
Deep-PHURIE: deep learning based hurricane intensity estimation from infrared satellite imagery.
Neural Comput. Appl., 2020

PHURIE: hurricane intensity estimation from infrared satellite imagery using machine learning.
Neural Comput. Appl., 2020

SAFRON: Stitching Across the Frontier for Generating Colorectal Cancer Histology Images.
CoRR, 2020

ISLAND: in-silico proteins binding affinity prediction using sequence information.
BioData Min., 2020

Train Small, Generate Big: Synthesis of Colorectal Cancer Histology Images.
Proceedings of the Simulation and Synthesis in Medical Imaging, 2020

Generalized Neural Framework for Learning with Rejection.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Cross-Domain Knowledge Transfer for Prediction of Chemosensitivity in Ovarian Cancer Patients.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Capturing Cellular Topology in Multi-Gigapixel Pathology Images.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
An embarrassingly simple approach to neural multiple instance classification.
Pattern Recognit. Lett., 2019

Learning Neural Activations.
CoRR, 2019

AMP0: Species-Specific Prediction of Anti-microbial Peptides using Zero and Few Shot Learning.
CoRR, 2019

Generalized Learning with Rejection for Classification and Regression Problems.
CoRR, 2019

Ten ways to fool the masses with machine learning.
CoRR, 2019

AMAP: Hierarchical multi-label prediction of biologically active and antimicrobial peptides.
Comput. Biol. Medicine, 2019

2018
Correlation Filters for Detection of Cellular Nuclei in Histopathology Images.
J. Medical Syst., 2018

Training host-pathogen protein-protein interaction predictors.
J. Bioinform. Comput. Biol., 2018

A generalized meta-loss function for distillation and learning using privileged information for classification and regression.
CoRR, 2018

Learning protein binding affinity using privileged information.
BMC Bioinform., 2018

2017
Amino acid composition predicts prion activity.
PLoS Comput. Biol., 2017

ISLAND: In-Silico Prediction of Proteins Binding Affinity Using Sequence Descriptors.
CoRR, 2017

Training large margin host-pathogen protein-protein interaction predictors.
CoRR, 2017

pyLEMMINGS: Large Margin Multiple Instance Classification and Ranking for Bioinformatics Applications.
CoRR, 2017

Deep and Self-Taught Learning for Protein Accessible Surface Area Prediction.
Proceedings of the 2017 International Conference on Frontiers of Information Technology, 2017

Machine Learning with Abstention for Automated Liver Disease Diagnosis.
Proceedings of the 2017 International Conference on Frontiers of Information Technology, 2017

2016
Issues in performance evaluation for host-pathogen protein interaction prediction.
J. Bioinform. Comput. Biol., 2016

CAFÉ-Map: Context Aware Feature Mapping for mining high dimensional biomedical data.
Comput. Biol. Medicine, 2016

2012
Automated Classification of Liver Disorders using Ultrasound Images.
J. Medical Syst., 2012

Detection and Localization of Myocardial Infarction using K-nearest Neighbor Classifier.
J. Medical Syst., 2012

Multiple instance learning of Calmodulin binding sites.
Bioinform., 2012

2011
MOX: A novel global optimization algorithm inspired from Oviposition site selection and egg hatching inhibition in mosquitoes.
Appl. Soft Comput., 2011

2009
Arrhythmia Beat Classification Using Pruned Fuzzy K-Nearest Neighbor Classifier.
Proceedings of the First International Conference of Soft Computing and Pattern Recognition, 2009

Arif Index for Predicting the Classification Accuracy of Features and Its Application in Heart Beat Classification Problem.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2009


  Loading...