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ORCIDFayyaz ul Amir Afsar Minhas
Fayyaz A. Afsar – Fayyaz A. Minhas – Fayyaz Minhas
Person information
- affiliation: Pakistan Institute of Engineering and Applied Sciences, Islamabad, Pakistan
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Journal Articles
- 2024
[j28]Srijay Deshpande
, Muhammad Dawood, Fayyaz Minhas, Nasir M. Rajpoot:
SynCLay: Interactive synthesis of histology images from bespoke cellular layouts. Medical Image Anal. 91: 102995 (2024)- [j27]Simon Graham, Quoc Dang Vu, Mostafa Jahanifar, Martin Weigert, Uwe Schmidt, Wenhua Zhang, Jun Zhang, Sen Yang, Jinxi Xiang, Xiyue Wang, Josef Lorenz Rumberger, Elias Baumann, Peter Hirsch, Lihao Liu, Chenyang Hong, Angelica I. Avilés-Rivero, Ayushi Jain, Heeyoung Ahn, Yiyu Hong, Hussam Azzuni, Min Xu, Mohammad Yaqub, Marie-Claire Blache, Benoît Piégu, Bertrand Vernay, Tim Scherr, Moritz Böhland, Katharina Löffler, Jiachen Li, Weiqin Ying, Chixin Wang, David R. J. Snead, Shan-E-Ahmed Raza, Fayyaz Minhas, Nasir M. Rajpoot:
CoNIC Challenge: Pushing the frontiers of nuclear detection, segmentation, classification and counting. Medical Image Anal. 92: 103047 (2024) - 2023
- [j26]Mark Eastwood, Silviu Tudor Marc, Xiaohong Gao, Heba Sailem, Judith Offman, Emmanouil Karteris, Angeles Montero Fernandez, Danny Jonigk, William Cookson, Miriam Moffatt, Sanjay Popat, Fayyaz Minhas, Jan Lukas Robertus:
Malignant Mesothelioma subtyping via sampling driven multiple instance prediction on tissue image and cell morphology data. Artif. Intell. Medicine 143: 102628 (2023) - [j25]Simon Graham, Quoc Dang Vu, Mostafa Jahanifar, Shan-E-Ahmed Raza, Fayyaz A. Afsar, David R. J. Snead, Nasir M. Rajpoot:
One model is all you need: Multi-task learning enables simultaneous histology image segmentation and classification. Medical Image Anal. 83: 102685 (2023) - 2022
- [j24]Alex Foote, Amina Asif, Nasir M. Rajpoot, Fayyaz A. Minhas:
REET: robustness evaluation and enhancement toolbox for computational pathology. Bioinform. 38(12): 3312-3314 (2022) - [j23]Don Neumann, Soumyadip Roy, Fayyaz ul Amir Afsar Minhas, Asa Ben-Hur:
On the choice of negative examples for prediction of host-pathogen protein interactions. Frontiers Bioinform. 2 (2022) - [j22]Srijay Deshpande, Fayyaz A. Minhas, Simon Graham, Nasir M. Rajpoot:
SAFRON: Stitching Across the Frontier Network for Generating Colorectal Cancer Histology Images. Medical Image Anal. 77: 102337 (2022) - [j21]Wenqi Lu, Michael Toss, Muhammad Dawood, Emad Rakha, Nasir M. Rajpoot, Fayyaz A. Minhas:
SlideGraph+: Whole slide image level graphs to predict HER2 status in breast cancer. Medical Image Anal. 80: 102486 (2022) - [j20]Sadaf Gull, Fayyaz A. Minhas:
AMP0: Species-Specific Prediction of Anti-microbial Peptides Using Zero and Few Shot Learning. IEEE ACM Trans. Comput. Biol. Bioinform. 19(1): 275-283 (2022) - 2021
- [j19]Kelvin K. F. Li, Stephen A. Jarvis, Fayyaz A. Minhas:
Elementary effects analysis of factors controlling COVID-19 infections in computational simulation reveals the importance of social distancing and mask usage. Comput. Biol. Medicine 134: 104369 (2021) - [j18]Adiba Yaseen, Sadaf Gull, Naeem Akhtar, Imran Amin, Fayyaz A. Minhas:
HemoNet: Predicting hemolytic activity of peptides with integrated feature learning. J. Bioinform. Comput. Biol. 19(5): 2150021:1-2150021:20 (2021) - [j17]Le Huang, Bowen Yang, Haidong Yi, Amina Asif, Jiawei Wang, Trevor Lithgow, Han Zhang, Fayyaz ul Amir Afsar Minhas, Yanbin Yin:
AcrDB: a database of anti-CRISPR operons in prokaryotes and viruses. Nucleic Acids Res. 49(Database-Issue): D622-D629 (2021) - [j16]Farzeen Munir, Sadaf Gull, Amina Asif, Fayyaz ul Amir Afsar Minhas:
MILAMP: Multiple Instance Prediction of Amyloid Proteins. IEEE ACM Trans. Comput. Biol. Bioinform. 18(3): 1142-1150 (2021) - 2020
- [j15]Wajid Arshad Abbasi, Adiba Yaseen, Fahad Ul Hassan, Saiqa Andleeb, Fayyaz ul Amir Afsar Minhas:
ISLAND: in-silico proteins binding affinity prediction using sequence information. BioData Min. 13(1): 20 (2020) - [j14]Amina Asif, Muhammad Dawood, Bismillah Jan, Javaid Khurshid, Mark DeMaria, Fayyaz ul Amir Afsar Minhas:
PHURIE: hurricane intensity estimation from infrared satellite imagery using machine learning. Neural Comput. Appl. 32(9): 4821-4834 (2020) - [j13]Muhammad Dawood, Amina Asif, Fayyaz ul Amir Afsar Minhas:
Deep-PHURIE: deep learning based hurricane intensity estimation from infrared satellite imagery. Neural Comput. Appl. 32(13): 9009-9017 (2020) - 2019
- [j12]Sadaf Gull, Nauman Shamim, Fayyaz ul Amir Afsar Minhas:
AMAP: Hierarchical multi-label prediction of biologically active and antimicrobial peptides. Comput. Biol. Medicine 107: 172-181 (2019) - [j11]Amina Asif, Fayyaz ul Amir Afsar Minhas:
An embarrassingly simple approach to neural multiple instance classification. Pattern Recognit. Lett. 128: 474-479 (2019) - 2018
- [j10]Wajid Arshad Abbasi, Amina Asif, Asa Ben-Hur, Fayyaz ul Amir Afsar Minhas:
Learning protein binding affinity using privileged information. BMC Bioinform. 19(1): 425:1-425:12 (2018) - [j9]Abdul Hannan Basit, Wajid Arshad Abbasi, Amina Asif, Sadaf Gull, Fayyaz ul Amir Afsar Minhas:
Training host-pathogen protein-protein interaction predictors. J. Bioinform. Comput. Biol. 16(4): 1850014:1-1850014:18 (2018) - [j8]Asif Ahmad, Amina Asif, Nasir M. Rajpoot, Muhammad Arif, Fayyaz ul Amir Afsar Minhas:
Correlation Filters for Detection of Cellular Nuclei in Histopathology Images. J. Medical Syst. 42(1): 7:1-7:8 (2018) - 2017
- [j7]Fayyaz ul Amir Afsar Minhas, Eric D. Ross, Asa Ben-Hur:
Amino acid composition predicts prion activity. PLoS Comput. Biol. 13(4) (2017) - 2016
- [j6]Fayyaz ul Amir Afsar Minhas, Amina Asif, Muhammad Arif:
CAFÉ-Map: Context Aware Feature Mapping for mining high dimensional biomedical data. Comput. Biol. Medicine 79: 68-79 (2016) - [j5]Wajid Arshad Abbasi, Fayyaz ul Amir Afsar Minhas:
Issues in performance evaluation for host-pathogen protein interaction prediction. J. Bioinform. Comput. Biol. 14(3): 1650011:1-1650011:17 (2016) - 2012
- [j4]Fayyaz ul Amir Afsar Minhas, Asa Ben-Hur:
Multiple instance learning of Calmodulin binding sites. Bioinform. 28(18): 416-422 (2012) - [j3]Muhammad Arif, Ijaz A. Malagore, Fayyaz A. Afsar:
Detection and Localization of Myocardial Infarction using K-nearest Neighbor Classifier. J. Medical Syst. 36(1): 279-289 (2012) - [j2]Fayyaz ul Amir Afsar Minhas, Durre Sabih, Mutawarra Hussain:
Automated Classification of Liver Disorders using Ultrasound Images. J. Medical Syst. 36(5): 3163-3172 (2012) - 2011
- [j1]Fayyaz ul Amir Afsar Minhas, Muhammad Arif:
MOX: A novel global optimization algorithm inspired from Oviposition site selection and egg hatching inhibition in mosquitoes. Appl. Soft Comput. 11(8): 4614-4625 (2011)
Conference and Workshop Papers
- 2023
- [c21]Piotr Keller, Muhammad Dawood, Fayyaz ul Amir Afsar Minhas:
Maximum Mean Discrepancy Kernels for Predictive and Prognostic Modeling of Whole Slide Images. ISBI 2023: 1-5 - [c20]Ethar Alzaid, Muhammad Dawood, Fayyaz Minhas:
A Transductive Approach to Survival Ranking for Cancer Risk Stratification. MLCB 2023: 101-109 - [c19]Piotr Keller, Muhammad Dawood, Fayyaz ul Amir Afsar Minhas:
Do Tissue Source Sites Leave Identifiable Signatures in Whole Slide Images Beyond Staining? TML4H 2023: 1-10 - 2022
- [c18]Mark Eastwood, Silviu Tudor Marc, Xiaohong Gao, Heba Sailem, Judith Offman, Emmanouil Karteris, Angeles Montero Fernandez, Danny Jonigk, William Cookson, Miriam Moffatt, Sanjay Popat, Fayyaz A. Minhas, Jan Lukas Robertus:
Malignant Mesothelioma Subtyping of Tissue Images via Sampling Driven Multiple Instance Prediction. AIME 2022: 263-272 - [c17]Callum Christopher Mackenzie, Muhammad Dawood, Simon Graham, Mark Eastwood, Fayyaz ul Amir Afsar Minhas:
Neural Graph Modelling of Whole Slide Images for Survival Ranking. LoG 2022: 48 - [c16]Quoc Dang Vu, Robert Jewsbury, Simon Graham, Mostafa Jahanifar, Shan-E-Ahmed Raza, Fayyaz Minhas, Abhir Bhalerao, Nasir M. Rajpoot:
Nuclear Segmentation and Classification: On Color and Compression Generalization. MLMI@MICCAI 2022: 249-258 - 2021
- [c15]Amina Asif, Muhammad Dawood, Fayyaz ul Amir Afsar Minhas:
A Generalized Meta-loss Function for Distillation Based Learning Using Privileged Information for Classification and Regression. ICANN (3) 2021: 534-545 - [c14]Muhammad Dawood, Kim Branson, Nasir M. Rajpoot, Fayyaz ul Amir Afsar Minhas:
ALBRT: Cellular Composition Prediction in Routine Histology Images. ICCVW 2021: 664-673 - [c13]Simon Graham, Mostafa Jahanifar, Ayesha Azam, Mohammed Nimir, Yee-Wah Tsang, Katherine Dodd, Emily Hero, Harvir Sahota, Atisha Tank, Ksenija Benes, Noorul Wahab, Fayyaz A. Minhas, Shan-E-Ahmed Raza, Hesham Eldaly, Kishore Gopalakrishnan, David R. J. Snead, Nasir M. Rajpoot:
Lizard: A Large-Scale Dataset for Colonic Nuclear Instance Segmentation and Classification. ICCVW 2021: 684-693 - [c12]Mostafa Jahanifar, Adam J. Shephard, Neda Zamanitajeddin, Raja Muhammad Saad Bashir, Mohsin Bilal, Syed Ali Khurram, Fayyaz A. Minhas, Nasir M. Rajpoot:
Stain-Robust Mitotic Figure Detection for the Mitosis Domain Generalization Challenge. MIDOG/MOOD/Learn2Reg@MICCAI 2021: 48-52 - [c11]Rawan Albusayli, J. Dinny Graham, Nirmala Pathmanathan, Muhammad Shaban, Fayyaz Minhas, Jane E. Armes, Nasir M. Rajpoot:
Simple non-iterative clustering and CNNs for coarse segmentation of breast cancer whole-slide images. Medical Imaging: Digital Pathology 2021 - [c10]Fayyaz A. Minhas, Michael S. Toss, Noor ul Wahab, Emad Rakha, Nasir M. Rajpoot:
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. PKDD/ECML Workshops (2) 2021: 390-400 - [c9]Muhammad Dawood, Kim Branson, Nasir M. Rajpoot, Fayyaz ul Amir Afsar Minhas:
All You Need is Color: Image Based Spatial Gene Expression Prediction Using Neural Stain Learning. PKDD/ECML Workshops (2) 2021: 437-450 - 2020
- [c8]Wenqi Lu, Simon Graham, Mohsin Bilal, Nasir M. Rajpoot, Fayyaz A. Minhas:
Capturing Cellular Topology in Multi-Gigapixel Pathology Images. CVPR Workshops 2020: 1049-1058 - [c7]Asfand Yaar, Amina Asif, Shan E Ahmed Raza, Nasir M. Rajpoot, Fayyaz A. Minhas:
Cross-Domain Knowledge Transfer for Prediction of Chemosensitivity in Ovarian Cancer Patients. CVPR Workshops 2020: 4020-4025 - [c6]Amina Asif, Fayyaz ul Amir Afsar Minhas:
Generalized Neural Framework for Learning with Rejection. IJCNN 2020: 1-8 - [c5]Srijay Deshpande, Fayyaz A. Minhas, Nasir M. Rajpoot:
Train Small, Generate Big: Synthesis of Colorectal Cancer Histology Images. SASHIMI@MICCAI 2020: 164-173 - 2017
- [c4]Fahad Ul Hassan, Fayyaz ul Amir Afsar Minhas:
Deep and Self-Taught Learning for Protein Accessible Surface Area Prediction. FIT 2017: 264-269 - [c3]Kanza Hamid, Amina Asif, Wajid Arshad Abbasi, Durre Sabih, Fayyaz ul Amir Afsar Minhas:
Machine Learning with Abstention for Automated Liver Disease Diagnosis. FIT 2017: 356-361 - 2009
- [c2]Muhammad Arif, Fayyaz A. Afsar, Muhammad Usman Akram, Adnan Fida:
Arif Index for Predicting the Classification Accuracy of Features and Its Application in Heart Beat Classification Problem. PAKDD 2009: 491-498 - [c1]Muhammad Arif, Muhammad Usman Akram, Fayyaz A. Afsar:
Arrhythmia Beat Classification Using Pruned Fuzzy K-Nearest Neighbor Classifier. SoCPaR 2009: 37-42
Editorship
- 2021
- [e1]Manfredo Atzori, Nikolay Burlutskiy, Francesco Ciompi, Zhang Li, Fayyaz A. Minhas, Henning Müller, Tingying Peng, Nasir M. Rajpoot, Ben Torben-Nielsen, Jeroen van der Laak, Mitko Veta, Yinyin Yuan, Inti Zlobec:
MICCAI Workshop on Computational Pathology, COMPAY@MICCAI 2021, 27 September 2021, Virtual Event. Proceedings of Machine Learning Research 156, PMLR 2021 [contents]
Informal and Other Publications
- 2024
- [i34]Mustafa Emre Sahin, Benjamin C. B. Symons, Pushpak Pati, Fayyaz Minhas, Declan Millar, Maria Gabrani, Jan Lukas Robertus, Stefano Mensa:
Efficient Parameter Optimisation for Quantum Kernel Alignment: A Sub-sampling Approach in Variational Training. CoRR abs/2401.02879 (2024) - [i33]Mark Eastwood, John Pocock, Mostafa Jahanifar, Adam Shephard, Skiros Habib, Ethar Alzaid, Abdullah Alsalemi, Jan Lukas Robertus, Nasir M. Rajpoot, Shan E Ahmed Raza, Fayyaz Minhas:
TIAViz: A Browser-based Visualization Tool for Computational Pathology Models. CoRR abs/2402.09990 (2024) - 2023
- [i32]Quoc Dang Vu, Robert Jewsbury, Simon Graham, Mostafa Jahanifar, Shan E Ahmed Raza, Fayyaz Minhas, Abhir Bhalerao, Nasir M. Rajpoot:
Nuclear Segmentation and Classification: On Color & Compression Generalization. CoRR abs/2301.03418 (2023) - [i31]Piotr Keller, Muhammad Dawood, Fayyaz ul Amir Afsar Minhas:
Maximum Mean Discrepancy Kernels for Predictive and Prognostic Modeling of Whole Slide Images. CoRR abs/2301.09624 (2023) - [i30]Mark Eastwood, Heba Sailem, Silviu Tudor Marc, Xiaohong Gao, Judith Offman, Emmanouil Karteris, Angeles Montero Fernandez, Danny Jonigk, William Cookson, Miriam Moffatt, Sanjay Popat, Fayyaz ul Amir Afsar Minhas, Jan Lukas Robertus:
MesoGraph: Automatic Profiling of Malignant Mesothelioma Subtypes from Histological Images. CoRR abs/2302.12653 (2023) - [i29]Simon Graham, Quoc Dang Vu, Mostafa Jahanifar, Martin Weigert, Uwe Schmidt, Wenhua Zhang, Jun Zhang, Sen Yang, Jinxi Xiang, Xiyue Wang, Josef Lorenz Rumberger, Elias Baumann, Peter Hirsch, Lihao Liu, Chenyang Hong, Angelica I. Avilés-Rivero, Ayushi Jain, Heeyoung Ahn, Yiyu Hong, Hussam Azzuni, Min Xu, Mohammad Yaqub, Marie-Claire Blache, Benoît Piégu, Bertrand Vernay, Tim Scherr, Moritz Böhland, Katharina Löffler, Jiachen Li, Weiqin Ying, Chixin Wang, Dagmar Kainmueller, Carola-Bibiane Schönlieb, Shuolin Liu, Dhairya Talsania, Yughender Meda, Prakash Mishra, Muhammad Ridzuan, Oliver Neumann, Marcel P. Schilling, Markus Reischl, Ralf Mikut, Banban Huang, Hsiang-Chin Chien, Ching-Ping Wang, Chia-Yen Lee, Hong-Kun Lin, Zaiyi Liu, Xipeng Pan, Chu Han, Jijun Cheng, Muhammad Dawood, Srijay Deshpande, Raja Muhammad Saad Bashir, Adam Shephard, Pedro Costa, João D. Nunes, Aurélio Campilho, Jaime S. Cardoso, Hrishikesh P. S, Densen Puthussery, Devika R. G, Jiji C V, Ye Zhang, Zijie Fang, Zhifan Lin, Yongbing Zhang, Chunhui Lin, Liukun Zhang, Lijian Mao, Min Wu, Thi Tuong Vi Vo, Soo-Hyung Kim, Taebum Lee, Satoshi Kondo, Satoshi Kasai, Pranay Dumbhare, Vedant Phuse, Yash Dubey, Ankush Jamthikar, Trinh Thi Le Vuong, Jin Tae Kwak, Dorsa Ziaei, Hyun Jung, Tianyi Miao, David R. J. Snead, Shan-E-Ahmed Raza, Fayyaz Minhas, Nasir M. Rajpoot:
CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting. CoRR abs/2303.06274 (2023) - [i28]Srijay Deshpande, Fayyaz Minhas, Nasir M. Rajpoot:
Synthesis of Annotated Colorectal Cancer Tissue Images from Gland Layout. CoRR abs/2305.05006 (2023) - [i27]Adam J. Shephard, Raja Muhammad Saad Bashir, Hanya Mahmood, Mostafa Jahanifar, Fayyaz Minhas, Shan E Ahmed Raza, Kris D. McCombe, Stephanie G. Craig, Jacqueline A. James, Jill Brooks, Paul Nankivell, Hisham Mehanna, Syed Ali Khurram, Nasir M. Rajpoot:
A Fully Automated and Explainable Algorithm for the Prediction of Malignant Transformation in Oral Epithelial Dysplasia. CoRR abs/2307.03757 (2023) - [i26]Mostafa Jahanifar, Manahil Raza, Kesi Xu, Trinh Thi Le Vuong, Robert Jewsbury, Adam Shephard, Neda Zamanitajeddin, Jin Tae Kwak, Shan E Ahmed Raza, Fayyaz Minhas, Nasir M. Rajpoot:
Domain Generalization in Computational Pathology: Survey and Guidelines. CoRR abs/2310.19656 (2023) - 2022
- [i25]Alex Foote, Amina Asif, Nasir M. Rajpoot, Fayyaz A. Minhas:
REET: Robustness Evaluation and Enhancement Toolbox for Computational Pathology. CoRR abs/2201.12311 (2022) - [i24]Adiba Yaseen, Imran Amin, Naeem Akhter, Asa Ben-Hur, Fayyaz A. Minhas:
Insights into performance evaluation of com-pound-protein interaction prediction methods. CoRR abs/2202.00001 (2022) - [i23]Simon Graham, Quoc Dang Vu, Mostafa Jahanifar, Fayyaz A. Minhas, David R. J. Snead, Nasir M. Rajpoot:
One Model is All You Need: Multi-Task Learning Enables Simultaneous Histology Image Segmentation and Classification. CoRR abs/2203.00077 (2022) - [i22]Srijay Deshpande, Muhammad Dawood, Fayyaz A. Minhas, Nasir M. Rajpoot:
SynCLay: Interactive Synthesis of Histology Images from Bespoke Cellular Layouts. CoRR abs/2212.13780 (2022) - 2021
- [i21]Alex Foote, Amina Asif, Ayesha Azam, Tim Marshall-Cox, Nasir M. Rajpoot, Fayyaz A. Minhas:
Now You See It, Now You Dont: Adversarial Vulnerabilities in Computational Pathology. CoRR abs/2106.08153 (2021) - [i20]Noor ul Wahab, Islam M. Miligy, Katherine Dodd, Harvir Sahota, Michael Toss, Wenqi Lu, Mostafa Jahanifar, Mohsin Bilal, Simon Graham, Young Park, Giorgos Hadjigeorghiou, Abhir Bhalerao, Ayat Lashen, Asmaa Ibrahim, Ayaka Katayama, Henry O. Ebili, Matthew Parkin, Tom Sorell, Shan E Ahmed Raza, Emily Hero, Hesham Eldaly, Yee-Wah Tsang, Kishore Gopalakrishnan, David R. J. Snead, Emad Rakha, Nasir M. Rajpoot, Fayyaz A. Minhas:
Semantic annotation for computational pathology: Multidisciplinary experience and best practice recommendations. CoRR abs/2106.13689 (2021) - [i19]Fayyaz A. Minhas, Michael S. Toss, Noor ul Wahab, Emad Rakha, Nasir M. Rajpoot:
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 abs/2108.10365 (2021) - [i18]Muhammad Dawood, Kim Branson, Nasir M. Rajpoot, Fayyaz ul Amir Afsar Minhas:
All You Need is Color: Image based Spatial Gene Expression Prediction using Neural Stain Learning. CoRR abs/2108.10446 (2021) - [i17]Simon Graham, Mostafa Jahanifar, Ayesha Azam, Mohammed Nimir, Yee-Wah Tsang, Katherine Dodd, Emily Hero, Harvir Sahota, Atisha Tank, Ksenija Benes, Noorul Wahab, Fayyaz A. Minhas, Shan-E-Ahmed Raza, Hesham Eldaly, Kishore Gopalakrishnan, David R. J. Snead, Nasir M. Rajpoot:
Lizard: A Large-Scale Dataset for Colonic Nuclear Instance Segmentation and Classification. CoRR abs/2108.11195 (2021) - [i16]Mostafa Jahanifar, Adam J. Shephard, Neda Zamani Tajeddin, Raja Muhammad Saad Bashir, Mohsin Bilal, Syed Ali Khurram, Fayyaz A. Minhas, Nasir M. Rajpoot:
Stain-Robust Mitotic Figure Detection for the Mitosis Domain Generalization Challenge. CoRR abs/2109.00853 (2021) - [i15]Wenqi Lu, Michael Toss, Emad Rakha, Nasir M. Rajpoot, Fayyaz A. Minhas:
SlideGraph+: Whole Slide Image Level Graphs to Predict HER2Status in Breast Cancer. CoRR abs/2110.06042 (2021) - [i14]Simon Graham, Mostafa Jahanifar, Quoc Dang Vu, Giorgos Hadjigeorghiou, Thomas Leech, David R. J. Snead, Shan E Ahmed Raza, Fayyaz A. Minhas, Nasir M. Rajpoot:
CoNIC: Colon Nuclei Identification and Counting Challenge 2022. CoRR abs/2111.14485 (2021) - [i13]Amina Asif, Kashif Rajpoot, David R. J. Snead, Fayyaz A. Minhas, Nasir M. Rajpoot:
Towards Launching AI Algorithms for Cellular Pathology into Clinical & Pharmaceutical Orbits. CoRR abs/2112.09496 (2021) - 2020
- [i12]Srijay Deshpande, Fayyaz A. Minhas, Simon Graham, Nasir M. Rajpoot:
SAFRON: Stitching Across the Frontier for Generating Colorectal Cancer Histology Images. CoRR abs/2008.04526 (2020) - [i11]Kelvin K. F. Li, Stephen A. Jarvis, Fayyaz A. Minhas:
Elementary Effects Analysis of factors controlling COVID-19 infections in computational simulation reveals the importance of Social Distancing and Mask Usage. CoRR abs/2011.11381 (2020) - 2019
- [i10]Fayyaz ul Amir Afsar Minhas, Amina Asif, Asa Ben-Hur:
Ten ways to fool the masses with machine learning. CoRR abs/1901.01686 (2019) - [i9]Amina Asif, Fayyaz ul Amir Afsar Minhas:
An embarrassingly simple approach to neural multiple instance classification. CoRR abs/1905.01947 (2019) - [i8]Amina Asif, Fayyaz ul Amir Afsar Minhas:
Generalized Learning with Rejection for Classification and Regression Problems. CoRR abs/1911.00896 (2019) - [i7]Sadaf Gull, Fayyaz ul Amir Afsar Minhas:
AMP0: Species-Specific Prediction of Anti-microbial Peptides using Zero and Few Shot Learning. CoRR abs/1911.06106 (2019) - [i6]Fayyaz ul Amir Afsar Minhas, Amina Asif:
Learning Neural Activations. CoRR abs/1912.12187 (2019) - 2018
- [i5]Kanza Hamid, Amina Asif, Wajid Arshad Abbasi, Durre Sabih, Fayyaz ul Amir Afsar Minhas:
Machine Learning with Abstention for Automated Liver Disease Diagnosis. CoRR abs/1811.04463 (2018) - [i4]Amina Asif, Muhammad Dawood, Fayyaz ul Amir Afsar Minhas:
A generalized meta-loss function for distillation and learning using privileged information for classification and regression. CoRR abs/1811.06885 (2018) - 2017
- [i3]Amina Asif, Wajid Arshad Abbasi, Farzeen Munir, Asa Ben-Hur, Fayyaz ul Amir Afsar Minhas:
pyLEMMINGS: Large Margin Multiple Instance Classification and Ranking for Bioinformatics Applications. CoRR abs/1711.04913 (2017) - [i2]Abdul Hannan Basit, Wajid Arshad Abbasi, Amina Asif, Fayyaz ul Amir Afsar Minhas:
Training large margin host-pathogen protein-protein interaction predictors. CoRR abs/1711.07886 (2017) - [i1]Wajid Arshad Abbasi, Fahad Ul Hassan, Adiba Yaseen, Fayyaz ul Amir Afsar Minhas:
ISLAND: In-Silico Prediction of Proteins Binding Affinity Using Sequence Descriptors. CoRR abs/1711.10540 (2017)
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