Fayyaz ul Amir Afsar Minhas
Orcid: 0000-0001-9129-1189Affiliations:
- Pakistan Institute of Engineering and Applied Sciences, Islamabad, Pakistan
According to our database1,
Fayyaz ul Amir Afsar Minhas
authored at least 92 papers
between 2009 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
CoNIC Challenge: Pushing the frontiers of nuclear detection, segmentation, classification and counting.
Medical Image Anal., February, 2024
Medical Image Anal., January, 2024
Medical Image Anal., 2024
HistoKernel: Whole Slide Image Level Maximum Mean Discrepancy Kernels for Pan-Cancer Predictive Modelling.
CoRR, 2024
Large Multimodal Model based Standardisation of Pathology Reports with Confidence and their Prognostic Significance.
CoRR, 2024
CoRR, 2024
Efficient Parameter Optimisation for Quantum Kernel Alignment: A Sub-sampling Approach in Variational Training.
CoRR, 2024
A Two-Stage Neural Network Model for Automatic Detection of Skiffs from Satellite Imagery.
Proceedings of the International Joint Conference on Neural Networks, 2024
Physical Structure Representation and Environmental Data Fusion for Cyclone Intensity Prediction.
Proceedings of the IGARSS 2024, 2024
2023
Malignant Mesothelioma subtyping via sampling driven multiple instance prediction on tissue image and cell morphology data.
Artif. Intell. Medicine, September, 2023
Dataset, July, 2023
Dataset, May, 2023
Dataset, March, 2023
Dataset, February, 2023
One model is all you need: Multi-task learning enables simultaneous histology image segmentation and classification.
Medical Image Anal., 2023
A Fully Automated and Explainable Algorithm for the Prediction of Malignant Transformation in Oral Epithelial Dysplasia.
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
CoRR, 2023
Do Tissue Source Sites Leave Identifiable Signatures in Whole Slide Images Beyond Staining?
Proceedings of the Trustworthy Machine Learning for Healthcare, 2023
Proceedings of the Machine Learning in Computational Biology, November 30, 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
Dataset, October, 2022
Dataset, October, 2022
Dataset, July, 2022
Dataset, July, 2022
Dataset, July, 2022
Dataset, July, 2022
Dataset, May, 2022
Dataset, January, 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
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
Bioinform., 2022
Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 2022
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
Dataset, December, 2021
IEEE ACM Trans. Comput. Biol. Bioinform., 2021
Nucleic Acids Res., 2021
J. Bioinform. Comput. Biol., 2021
Towards Launching AI Algorithms for Cellular Pathology into Clinical & Pharmaceutical Orbits.
CoRR, 2021
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
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
BioData Min., 2020
Proceedings of the Simulation and Synthesis in Medical Imaging, 2020
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
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
2019
Pattern Recognit. Lett., 2019
AMP0: Species-Specific Prediction of Anti-microbial Peptides using Zero and Few Shot Learning.
CoRR, 2019
CoRR, 2019
AMAP: Hierarchical multi-label prediction of biologically active and antimicrobial peptides.
Comput. Biol. Medicine, 2019
2018
J. Medical Syst., 2018
J. Bioinform. Comput. Biol., 2018
A generalized meta-loss function for distillation and learning using privileged information for classification and regression.
CoRR, 2018
2017
ISLAND: In-Silico Prediction of Proteins Binding Affinity Using Sequence Descriptors.
CoRR, 2017
CoRR, 2017
pyLEMMINGS: Large Margin Multiple Instance Classification and Ranking for Bioinformatics Applications.
CoRR, 2017
Proceedings of the 2017 International Conference on Frontiers of Information Technology, 2017
Proceedings of the 2017 International Conference on Frontiers of Information Technology, 2017
2016
J. Bioinform. Comput. Biol., 2016
Comput. Biol. Medicine, 2016
2012
J. Medical Syst., 2012
Detection and Localization of Myocardial Infarction using K-nearest Neighbor Classifier.
J. Medical Syst., 2012
2011
MOX: A novel global optimization algorithm inspired from Oviposition site selection and egg hatching inhibition in mosquitoes.
Appl. Soft Comput., 2011
2009
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