My publications on Google Scholar.
Here is the link to my ORCID profile.
Doudna, Jennifer A., Gavin Knott, Fayyaz-ul-Amir Afsar Minhas, Simon Eitzinger, and Kyle E. Watters. Modulators of Cas9 Polypeptide Activity and Methods of Use Thereof, issued June 3, 2021. https://patentscope.wipo.int/search/en/detail.jsf?docId=WO2021108442.
Corey Broeckling, Jessica Prenni, Asa Ben-Hur, and Fayyaz Minhas, RAMClust: Clustering of Mass Spectrometry Features for Identification. U.S. Provisional Patent Application. 2012.
Srijay Deshpande, Violeta Kovacheva, Fayyaz Minhas, and Nasir Rajpoot, "Generative models for synthesis of colorectal cancer histology images" in BIOMEDICAL IMAGE SYNTHESIS AND SIMULATIONS: Methods and Applications. S.l.: ELSEVIER ACADEMIC PRESS, 2022.
Muhammad Arif, Fayyaz Minhas, M.U. Akram, and A. Fida, Arif Index for Predicting the Classification Accuracy of Features and its Application in Heart Beat Classification Problem, Advances in Knowledge Discovery and Data Mining, Ed. Thanaruk Theeramunkong, Boonserm Kijsirkul, Tu-Bao Ho, PAKDD2009 Proceedings, LNAI 5476, pp. 491-498, Springer-Verlag Berlin Heidelberg, 2009. (Online), (Download draft)
This is a listing of the preprint versions of my work.
Eastwood, Mark, John Pocock, Mostafa Jahanifar, Adam Shephard, Skiros Habib, Ethar Alzaid, Abdullah Alsalemi, et al. “TIAViz: A Browser-Based Visualization Tool for Computational Pathology Models.” arXiv, February 15, 2024. http://arxiv.org/abs/2402.09990.
Sahin, M. Emre, Benjamin C. B. Symons, Pushpak Pati, Fayyaz Minhas, Declan Millar, Maria Gabrani, Jan Lukas Robertus, and Stefano Mensa. “Efficient Parameter Optimisation for Quantum Kernel Alignment: A Sub-Sampling Approach in Variational Training.” arXiv, January 5, 2024. https://doi.org/10.48550/arXiv.2401.02879.
Dawood, Muhammad, Mark Eastwood, Mostafa Jahanifar, Lawrence Young, Asa Ben-Hur, Kim Branson, Louise Jones, Nasir Rajpoot, and Fayyaz ul Amir Afsar Minhas. “Data-Driven Modelling of Gene Expression States in Breast Cancer and Their Prediction from Routine Whole Slide Images.” bioRxiv, April 16, 2023. https://doi.org/10.1101/2023.04.14.536756.
Shephard, Adam J., Raja Muhammad Saad Bashir, Hanya Mahmood, Mostafa Jahanifar, Fayyaz Minhas, Shan E. Ahmed Raza, Kris D. McCombe, et al. “A Fully Automated and Explainable Algorithm for the Prediction of Malignant Transformation in Oral Epithelial Dysplasia.” arXiv, July 6, 2023. https://doi.org/10.48550/arXiv.2307.03757.
Graham, Simon, Fayyaz Minhas, Mohsin Bilal, Mahmoud Ali, Yee Wah Tsang, Mark Eastwood, Noorul Wahab, et al. “Screening of Normal Endoscopic Large Bowel Biopsies with Artificial Intelligence: A Retrospective Study.” medRxiv, October 17, 2022. https://doi.org/10.1101/2022.10.17.22279804.
Bilal, Mohsin, Yee Wah Tsang, Mahmoud Ali, Simon Graham, Emily Hero, Noorul Wahab, Katherine Dodd, et al. “AI Based Pre-Screening of Large Bowel Cancer via Weakly Supervised Learning of Colorectal Biopsy Histology Images.” medRxiv, February 28, 2022. https://doi.org/10.1101/2022.02.28.22271565.
Asif, Amina, Kashif Rajpoot, David Snead, Fayyaz Minhas, and Nasir Rajpoot. “Towards Launching AI Algorithms for Cellular Pathology into Clinical & Pharmaceutical Orbits.” ArXiv:2112.09496 [Cs, Eess], December 17, 2021. http://arxiv.org/abs/2112.09496.
Graham, Simon, Mostafa Jahanifar, Quoc Dang Vu, Giorgos Hadjigeorghiou, Thomas Leech, David Snead, Shan E. Ahmed Raza, Fayyaz Minhas, and Nasir Rajpoot. “CoNIC: Colon Nuclei Identification and Counting Challenge 2022.” ArXiv:2111.14485 [Cs], November 29, 2021. http://arxiv.org/abs/2111.14485.
Jahanifar, Mostafa, Adam Shephard, Neda Zamani Tajeddin, R. M. Saad Bashir, Mohsin Bilal, Syed Ali Khurram, Fayyaz Minhas, and Nasir Rajpoot. “Stain-Robust Mitotic Figure Detection for the Mitosis Domain Generalization Challenge.” ArXiv:2109.00853 [Cs], September 29, 2021. http://arxiv.org/abs/2109.00853.
Foote, Alex, Amina Asif, Ayesha Azam, Nasir Rajpoot, and Fayyaz Minhas. “Now You See It, Now You Dont: Adversarial Vulnerabilities in Computational Pathology.” ArXiv:2106.08153 [Cs, Eess], June 14, 2021. http://arxiv.org/abs/2106.08153.
Minhas, Fayyaz, Dimitris Grammatopoulos, Lawrence Young, Imran Amin, David Snead, Neil Anderson, Asa Ben-Hur, and Nasir Rajpoot. “Improving COVID-19 Testing Efficiency Using Guided Agglomerative Sampling.” BioRxiv, April 14, 2020, 2020.04.13.039792. https://doi.org/10.1101/2020.04.13.039792. URL: https://www.biorxiv.org/content/10.1101/2020.04.13.039792v1
Minhas, Fayyaz ul Amir Afsar, and Amina Asif. “Learning Neural Activations.” ArXiv:1912.12187 [Cs, Stat], December 27, 2019. http://arxiv.org/abs/1912.12187.
Fayyaz Minhas, Amina Asif, Asa Ben-Hur. “Ten ways to fool the masses with machine learning.” arXiv:1901.01686, January 7, 2019. (Paper)
Asif, Amina, Wajid Arshad Abbasi, Farzeen Munir, Asa Ben-Hur, and Fayyaz ul Amir Afsar Minhas. “pyLEMMINGS: Large Margin Multiple Instance Classification and Ranking for Bioinformatics Applications.” arXiv:1711.04913 [Cs, Stat], November 13, 2017. (Paper)
Basit, Abdul Hannan, Wajid Arshad Abbasi, Amina Asif, and Fayyaz Ul Amir Afsar Minhas. “Training Large Margin Host-Pathogen Protein-Protein Interaction Predictors.” arXiv:1711.07886 [Cs, Q-Bio, Stat], November 21, 2017. (Paper)
Graham, Simon, Quoc Dang Vu, Mostafa Jahanifar, Martin Weigert, Uwe Schmidt, Wenhua Zhang, Jun Zhang, et al. “CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting.” Medical Image Analysis 92 (February 1, 2024): 103047. https://doi.org/10.1016/j.media.2023.103047.
Jahanifar, Mostafa, Adam Shephard, Neda Zamani Tajadin, Simon Graham, Shan E. Ahmed Raza, Fayyaz Minhas, and Nasir Rajpoot. “Mitosis Detection, Fast and Slow: Robust and Efficient Detection of Mitotic Figures.” Medical Image Analysis, 2024, 103132. URL: https://www.sciencedirect.com/science/article/pii/S1361841524000574
Ibrahim, Asmaa, Mostafa Jahanifar, Noorul Wahab, Michael S. Toss, Shorouk Makhlouf, Nehal Atallah, Ayat G. Lashen, Ayaka Katayama, Simon Graham, and Mohsin Bilal. “Artificial Intelligence-Based Mitosis Scoring in Breast Cancer: Clinical Application.” Modern Pathology 37, no. 3 (2024): 100416. URL: https://www.sciencedirect.com/science/article/pii/S0893395223003216
Jahangir, Chowdhury Arif, David B Page, Glenn Broeckx, Claudia A Gonzalez, Caoimbhe Burke, Clodagh Murphy, Jorge S Reis‐Filho,.., Fayyaz Minhas, ... et al. , Arman Rahman “Image‐based Multiplex Immune Profiling of Cancer Tissues: Translational Implications. A Report of the International Immuno‐oncology Biomarker Working Group on Breast Cancer.” The Journal of Pathology 262, no. 3 (March 2024): 271–88. https://doi.org/10.1002/path.6238.
Dawood, Muhammad, Quoc Dang Vu, Lawrence S. Young, Kim Branson, Louise Jones, Nasir Rajpoot, and Fayyaz ul Amir Afsar Minhas. “Cancer Drug Sensitivity Prediction from Routine Histology Images.” Npj Precision Oncology 8, no. 1 (January 6, 2024): 1–13. https://doi.org/10.1038/s41698-023-00491-9.
Lu, Wenqi, Ayat G Lashen, Noorul Wahab, Islam M Miligy, Mostafa Jahanifar, Michael Toss, Simon Graham, Mohsin Bilal, Abhir Bhalerao, Nehal M Atallah, Shorouk Makhlouf, Asmaa Y Ibrahim, David Snead, Fayyaz Minhas, Shan E Ahmed Raza, Emad Rakha, Nasir Rajpoot “AI‐based Intra‐tumor Heterogeneity Score of Ki67 Expression as a Prognostic Marker for Early‐stage ER+/HER2− Breast Cancer.” The Journal of Pathology: Clinical Research 10, no. 1 (January 2024): e346. https://doi.org/10.1002/cjp2.346.
Deshpande, Srijay, Muhammad Dawood, Fayyaz Minhas, and Nasir Rajpoot. “SynCLay: Interactive Synthesis of Histology Images from Bespoke Cellular Layouts.” Medical Image Analysis 91 (2024): 102995. URL: https://www.sciencedirect.com/science/article/pii/S1361841523002554
Pocock, Johnathan, Shan E Ahmed Raza, Fayyaz Minhas, and Nasir Rajpoot. “WSIC: A Python Package and Command-Line Interface for Fast Whole Slide Image Conversion.” Bioinformatics Advances 3, no. 1 (January 1, 2023): vbad122. https://doi.org/10.1093/bioadv/vbad122.
Eastwood, Mark, Heba Sailem, Silviu Tudor Marc, Xiaohong Gao, Judith Offman, Emmanouil Karteris, Angeles Montero Fernandez, et al, Fayyaz Minhas (Joint last author). “MesoGraph: Automatic Profiling of Mesothelioma Subtypes from Histological Images.” Cell Reports Medicine 0, no. 0 (October 9, 2023). https://doi.org/10.1016/j.xcrm.2023.101226.
Albusayli, Rawan, J Dinny Graham, Nirmala Pathmanathan, Muhammad Shaban, Shan E Ahmed Raza, Fayyaz Minhas, Jane E Armes, and Nasir Rajpoot. “Artificial Intelligence‐based Digital Scores of Stromal Tumour‐infiltrating Lymphocytes and Tumour‐associated Stroma Predict Disease‐specific Survival in Triple‐negative Breast Cancer.” The Journal of Pathology 260, no. 1 (May 2023): 32–42. https://doi.org/10.1002/path.6061.
Wahab, Noorul, Michael Toss, Islam M. Miligy, Mostafa Jahanifar, Nehal M. Atallah, Wenqi Lu, Simon Graham, ..., Fayyaz Minhas, ..., et al., Nasir Rajpoot, “AI-Enabled Routine H&E Image Based Prognostic Marker for Early-Stage Luminal Breast Cancer.” Npj Precision Oncology 7, no. 1 (November 15, 2023): 1–13. https://doi.org/10.1038/s41698-023-00472-y.
Thagaard, Jeppe, Glenn Broeckx, David B Page, Chowdhury Arif Jahangir, Sara Verbandt, Zuzana Kos, Rajarsi Gupta,.., Fayyaz Minhas, ... et al., Elisabeth Specht Stovgaard “Pitfalls in Machine Learning-Based Assessment of Tumor-Infiltrating Lymphocytes in Breast Cancer: A Report of the International Immuno-Oncology Biomarker Working Group on Breast Cancer.” The Journal of Pathology 260, no. 5 (2023): 498–513. https://doi.org/10.1002/path.6155.
Asif, Amina, Kashif Rajpoot, Simon Graham, David Snead, Fayyaz Minhas, and Nasir Rajpoot. “Unleashing the Potential of AI for Pathology: Challenges and Recommendations.” The Journal of Pathology 260, no. 5 (2023): 564–77. https://doi.org/10.1002/path.6168.
Page, David B, Glenn Broeckx, ..., Fayyaz Minhas, ... , et al., Elisabeth Specht Stovgaard, “Spatial Analyses of Immune Cell Infiltration in Cancer: Current Methods and Future Directions. A Report of the International Immuno-Oncology Biomarker Working Group on Breast Cancer.” The Journal of Pathology 260, no. 5 (2023): 514–32. https://doi.org/10.1002/path.6165.
Mohsin Bilal, Yee Wah Tsang, Mahmoud Ali, Simon Graham, Emily Hero, Noorul Wahab, Katherine Dodd, Harvir Sahota, Shaobin Wu, Wenqi Lu, Mostafa Jahanifar, Andrew Robinson, Ayesha Azam, Ksenija Benes, Mohammed Nimir, Katherine Hewitt, Abhir Bhalerao, Hesham Eldaly, Shan E Ahmed Raza, Kishore Gopalakrishnan, Fayyaz Minhas, David Snead, Nasir Rajpoot, “Development and Validation of Artificial Intelligence-Based Prescreening of Large-Bowel Biopsies Taken in the UK and Portugal: A Retrospective Cohort Study.” The Lancet Digital Health 5, no. 11 (November 1, 2023): e786–97. https://doi.org/10.1016/S2589-7500(23)00148-6.
Evans, Harriet, Emily Hero, Fayyaz Minhas, Noorul Wahab, Katherine Dodd, Harvir Sahota, Ratnadeep Ganguly, et al. “Standardized Clinical Annotation of Digital Histopathology Slides at the Point of Diagnosis.” Modern Pathology, August 4, 2023, 100297. https://doi.org/10.1016/j.modpat.2023.100297.
Dawood, Muhammad, Mark Eastwood, Mostafa Jahanifar, Lawrence Young, Asa Ben-Hur, Kim Branson, Louise Jones, Nasir Rajpoot, and Fayyaz ul Amir Afsar Minhas. “Cross-Linking Breast Tumor Transcriptomic States and Tissue Histology.” Cell Reports Medicine 4, no. 12 (December 19, 2023). https://doi.org/10.1016/j.xcrm.2023.101313.
Shorouk Makhlouf, Noorul Wahab, Michael Toss, Asmaa Ibrahim, Ayat G Lashen, Nehal M Atallah, Suzan Ghannam, Mostafa Jahanifar, Wenqi Lu, Simon Graham, Nigel P Mongan, Mohsin Bilal, Abhir Bhalerao, David Snead, Fayyaz Minhas, Shan E Ahmed Raza, Nasir Rajpoot, Emad Rakha. “Evaluation of Tumour Infiltrating Lymphocytes in Luminal Breast Cancer Using Artificial Intelligence.” British Journal of Cancer, September 30, 2023, 1–12. https://doi.org/10.1038/s41416-023-02451-3.
Eastwood, Mark, Silviu Tudor Marc, Xiaohong Gao, Heba Sailem, Judith Offman, Emmanouil Karteris, Angeles Montero Fernandez, et al. “Malignant Mesothelioma Subtyping via Sampling Driven Multiple Instance Prediction on Tissue Image and Cell Morphology Data.” Artificial Intelligence in Medicine 143 (September 1, 2023): 102628. https://doi.org/10.1016/j.artmed.2023.102628.
Atallah, Nehal M., Noorul Wahab, Michael S. Toss, Shorouk Makhlouf, Asmaa Y. Ibrahim, Ayat G. Lashen, Suzan Ghannam, et al. “Deciphering the Morphology of Tumor-Stromal Features in Invasive Breast Cancer Using Artificial Intelligence.” Modern Pathology 36, no. 10 (October 1, 2023): 100254. https://doi.org/10.1016/j.modpat.2023.100254.
Graham, Simon, Fayyaz Minhas, Mohsin Bilal, Mahmoud Ali, Yee Wah Tsang, Mark Eastwood, Noorul Wahab, et al. “Screening of Normal Endoscopic Large Bowel Biopsies with Interpretable Graph Learning: A Retrospective Study.” Gut, May 12, 2023. https://doi.org/10.1136/gutjnl-2023-329512.
Albusayli, Rawan, J. Dinny Graham, Nirmala Pathmanathan, Muhammad Shaban, Shan E. Ahmed Raza, Fayyaz Minhas, Jane E. Armes, and Nasir Rajpoot. “Artificial Intelligence-Based Digital Scores of Stromal Tumour-Infiltrating Lymphocytes and Tumour-Associated Stroma Predict Disease-Specific Survival in Triple-Negative Breast Cancer.” The Journal of Pathology 260, no. 1 (May 2023): 32–42. https://doi.org/10.1002/path.6061.
Ibrahim, Asmaa, Michael S. Toss, Shorouk Makhlouf, Islam M. Miligy, Fayyaz Minhas, and Emad A. Rakha. “Improving Mitotic Cell Counting Accuracy and Efficiency Using Phosphohistone-H3 (PHH3) Antibody Counterstained with Haematoxylin and Eosin as Part of Breast Cancer Grading.” Histopathology 82, no. 3 (February 2023): 393–406. https://doi.org/10.1111/his.14837.
Graham, Simon, Quoc Dang Vu, Mostafa Jahanifar, Shan E Ahmed Raza, Fayyaz Minhas, David Snead, and Nasir Rajpoot. “One Model Is All You Need: Multi-Task Learning Enables Simultaneous Histology Image Segmentation and Classification.” Medical Image Analysis 83 (January 1, 2023): 102685. https://doi.org/10.1016/j.media.2022.102685.
Yaseen, Adiba, Imran Amin, Naeem Akhter, Asa Ben-Hur, and Fayyaz Minhas. “Insights into Performance Evaluation of Compound–Protein Interaction Prediction Methods.” Bioinformatics 38, no. 2 (September 1, 2022): ii75–81. https://doi.org/10.1093/bioinformatics/btac496.
Ali, Mahmoud, Harriet Evans, Peter Whitney, Fayyaz Minhas (joint last author), and David R. J. Snead. “Using Systemised Nomenclature of Medicine (SNOMED) Codes to Select Digital Pathology Whole Slide Images for Long-Term Archiving.” Journal of Clinical Pathology, September 15, 2022. https://doi.org/10.1136/jcp-2022-208483.
M. Eastwood, S. Tudor Marc, X. Gao, H. Sailem, J. Offman, A. Montero Fernandez, D. Jonigk, W. Cookson, M. Moffat, S. Popat, J.L. Robertus, F. Minhas. “EP07.03-005 MesoGraph: Graph Neural Networks for Weakly Supervised Cellular Profiling in the Subtyping of Malignant Mesothelioma Images.” Journal of Thoracic Oncology 17, no. 9 (September 1, 2022): S331–32. https://doi.org/10.1016/j.jtho.2022.07.570. (abstract submission).
Lu, Wenqi, Michael Toss, Muhammad Dawood, Emad Rakha, Nasir Rajpoot, and Fayyaz Minhas. “SlideGraph+: Whole Slide Image Level Graphs to Predict HER2 Status in Breast Cancer.” Medical Image Analysis, May 25, 2022, 102486. https://doi.org/10.1016/j.media.2022.102486.
Foote, A., A. Asif, N. Rajpoot and Fayyaz Minhas “REET: Robustness Evaluation and Enhancement Toolbox for Computational Pathology.” Bioinformatics, 2022, btac315. https://doi.org/10.1093/bioinformatics/btac315. (preprint: http://arxiv.org/abs/2201.12311. )
Wenqi Lu, Islam M Miligy, Fayyaz Minhas, Young Saeng Park, David R J Snead, Emad A Rakha, Clare Verrill, Nasir Rajpoot “Lessons from a Breast Cell Annotation Competition Series for School Pupils.” Scientific Reports, 2022. https://ora.ox.ac.uk/objects/uuid:9e34d4e6-c677-4380-9403-759808b349aa.
Deshpande, Srijay, Fayyaz Minhas, Simon Graham, and Nasir Rajpoot. “SAFRON: Stitching Across the Frontier Network for Generating Colorectal Cancer Histology Images.” Medical Image Analysis 77 (April 1, 2022): 102337. https://doi.org/10.1016/j.media.2021.102337.
Wahab, Noorul, Islam M Miligy, Katherine Dodd, Harvir Sahota, Michael Toss, Wenqi Lu, Mostafa Jahanifar, et al., Fayyaz Minhas “Semantic Annotation for Computational Pathology: Multidisciplinary Experience and Best Practice Recommendations.” The Journal of Pathology: Clinical Research, January 11, 2022. https://doi.org/10.1002/cjp2.256.
Bilal, Mohsin, Shan E Ahmed Raza, Ayesha Azam, Simon Graham, Mohammad Ilyas, Ian A Cree, David Snead, Fayyaz Minhas, and Nasir M Rajpoot. “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.” The Lancet Digital Health, October 19, 2021. https://doi.org/10.1016/S2589-7500(21)00180-1.
Yaseen, Adiba, Sadaf Gull, Naeem Akhtar, Imran Amin, and Fayyaz Minhas. “HemoNet: Predicting Hemolytic Activity of Peptides with Integrated Feature Learning.” Journal of Bioinformatics and Computational Biology, August 5, 2021, 2150021. https://doi.org/10.1142/S0219720021500219.
Li, Kelvin K. F., Stephen A. Jarvis, and Fayyaz Minhas. “Elementary Effects Analysis of Factors Controlling COVID-19 Infections in Computational Simulation Reveals the Importance of Social Distancing and Mask Usage.” Computers in Biology and Medicine, April 3, 2021, 104369. https://doi.org/10.1016/j.compbiomed.2021.104369.(Preprint: ArXiv:2011.11381 [Physics], November 19, 2020. http://arxiv.org/abs/2011.11381.)
Huang, Le, Bowen Yang, Haidong Yi, Amina Asif, Jiawei Wang, Trevor Lithgow, Han Zhang, Fayyaz ul Amir Afsar Minhas, and Yanbin Yin. “AcrDB: A Database of Anti-CRISPR Operons in Prokaryotes and Viruses.” Nucleic Acids Research 49, no. D1 (January 8, 2021): D622–29. https://doi.org/10.1093/nar/gkaa857.
Awan, Ruqayya, Ksenija Benes, Ayesha Azam, Tzu-Hsi Song, Muhammad Shaban, Clare Verrill, Yee Wah Tsang, David Snead, Fayyaz Minhas, and Nasir Rajpoot. “Deep Learning Based Digital Cell Profiles for Risk Stratification of Urine Cytology Images.” Cytometry Part A n/a, URL: https://doi.org/10.1002/cyto.a.24313.
Abbasi, Wajid Arshad, Adiba Yaseen, Fahad Ul Hassan, Saiqa Andleeb, and Fayyaz Ul Amir Afsar Minhas. “ISLAND: In-Silico Proteins Binding Affinity Prediction Using Sequence Information.” BioData Mining 13, no. 1 (November 25, 2020): 20. https://doi.org/10.1186/s13040-020-00231-w. (Paper)
Rakha, Emad A., Mansour Alsaleem, Khloud A. ElSharawy, Michael S. Toss, Sara Raafat, Raluca Mihai, Fayyaz A. Minhas, et al. “Visual Histological Assessment of Morphological Features Reflects the Underlying Molecular Profile in Invasive Breast Cancer: A Morphomolecular Study.” Histopathology 77, no. 4 (2020): 631–45. https://doi.org/10.1111/his.14199.
Gull, Sadaf, and Fayyaz Minhas. “AMP0: Species-Specific Prediction of Anti-Microbial Peptides Using Zero and Few Shot Learning.” in EEE/ACM Transactions on Computational Biology and Bioinformatics, DOI: https://doi.org/10.1109/TCBB.2020.2999399, Preprint: http://arxiv.org/abs/1911.06106, 2020.
Eitzinger, Simon, Amina Asif, Kyle E. Watters, Anthony T. Iavarone, Gavin J. Knott, Jennifer A. Doudna, and Fayyaz ul Amir Afsar Minhas. “Machine Learning Predicts New Anti-CRISPR Proteins.” Nucleic Acids Research. April 16, 2020. https://doi.org/10.1093/nar/gkaa219 (software).
Kamal, Hira, Fayyaz-ul-Amir Afsar Minhas, Diwaker Tripathi, Wajid Arshad Abbasi, Muhammad Hamza, Roma Mustafa, Muhammad Zuhaib Khan, Shahid Mansoor, Hanu R. Pappu, and Imran Amin. “ΒC1, Pathogenicity Determinant Encoded by Cotton Leaf Curl Multan Betasatellite, Interacts with Calmodulin-like Protein 11 (Gh-CML11) in Gossypium Hirsutum.” PLOS ONE 14, no. 12 (December 3, 2019): e0225876. https://doi.org/10.1371/journal.pone.0225876.
An embarrassingly simple approach to neural multiple instance classification, A. Asif and Fayyaz Minhas in Pattern Recognition Letters, Volume 128, Pages 474-479, 1 December 2019. (paper, preprint).
MILAMP: Multiple Instance Prediction of Amyloid Proteins, F. Munir, S. Gull, A. Asif and Fayyaz Minhas, in IEEE/ACM Transactions on Computational Biology and Bioinformatics, DOI: 10.1109/TCBB.2019.2936846, August 2019 (paper).
Deep-PHURIE: Deep Learning based Hurricane Intensity Estimation from Infrared Satellite Imagery, M. Dawood, A. Asif and Fayyaz Minhas, in Neural Computing and Applications. pp. DOI: 10.1007/s00521-019-04410-7, July 2019. (software) (paper)
AMAP: Hierarchical multi-label prediction of biologically active and antimicrobial peptides, Sadaf Gull, Nauman Shamim and Fayyaz ul Amir Afsar Minhas, Computers in biology and medicine 107 (2019): 172-181. (Paper)(software)
In Silico Prediction and Validations of Domains Involved in Gossypium hirsutum SnRK1 Protein Interaction with Cotton leaf curl Multan betasatellite encoded βC1, Kamal, Hira, Fayyaz ul Amir Afsar Minhas, Muhammad Farooq, Diwaker Tripathi, Muhammad Hamza, Roma Mustafa, Muhammad Zuhaib Khan, Shahid Mansoor, Hanu R. Pappu, and Imran Amin, in Frontiers in Plant Science 10 (2019): 656. (Paper)
Learning protein binding affinity using privileged information, Wajid Abbasi, Amina Asif, Asa Ben-Hur and Fayyaz ul Amir Afsar Minhas, BMC Bioinformatics (2018) doi: 10.1186/s12859-018-2448-z. (Paper)(software)
PHURIE: Hurricane Intensity Estimation from Infrared Satellite Imagery using Machine Learning, Amina Asif, Muhammad Dawood, Bismillah Jan, Javaid Khurshid, Mark DeMaria, and Fayyaz ul Amir Afsar Minhas, in Neural Computing and Applications, DOI: http://dx.doi.org/10.1007/s00521-018-3874-6, 2018. (Paper)(software)
Training host-pathogen protein–protein interaction predictors , Abdul Hannan Basit, Wajid Arshad Abbasi, Amina Asif, Sadaf Gull and Fayyaz ul Amir Afsar Minhas, in Journal of Bioinformatics and Computational Biology, Vol. 16, No. 04, 1850014 (2018). (Paper)(software)
"Correlation Filters for Detection of Cellular Nuclei in Histopathology Images", Asif Ahmed, Amina Asif, M. Arif, Nasir Rajpoor and Fayyaz ul Amir Afsar Minhas, in Journal of medical systems, 2017. (Paper)(software)
CaMELS: In silico Prediction of Calmodulin Binding Proteins and their Binding Sites, Wajid Abbasi, Amina Asif, Saiqa Andleeb, and Fayyaz ul Amir Afsar Minhas, in Proteins: Structure, Function and Bioinformatics, 2017. (Paper)(software)
Amino Acid Composition Predicts Prion Activity, Fayyaz ul Amir Afsar Minhas, Eric D. Ross and Asa Ben-Hur, PLoS Computational Biology, 13(4): e1005465. http://dx.doi.org/10.1371/journal.pcbi.1005465, 2017. (Paper)(software)(software on github)
CAFÉ-Map: Context Aware Feature Mapping for mining high dimensional biomedical data, Fayyaz ul Amir Afsar Minhas et al., in Computers in Biology and Medicine, vol. 79, pp. 68-79, Oct. 2016. (Paper)(software)
Issues In Performance Evaluation for Host-Pathogen Protein Interaction Prediction, Wajid A. Abbasi and Fayyaz Minhas, in Journal of Bioinformatics and Computational Biology, vol. 14, no. 3, 1650011, January 2016. (more details) (more details (on github))
RAMClust: A Novel Feature Clustering Method Enables Spectral-Matching Based Annotation for Metabolomics Data., Corey D. Broeckling, Fayyaz Minhas, Steffen Neumann, Asa Ben-Hur, and Jessica E. Prenni in Analytical Chemistry, vol. 86, no. 14, pp 6812-6817, June 2014. (Online), (Download draft)
PAIRpred: Partner-specific prediction of interacting residues from sequence and structure, Fayyaz Minhas, Brian Geiss and Asa Ben-Hur in Proteins: Structure, Function and Bioinformatics, vol. 82, no. 7, pp. 1142-1155, 2014 (Published Online: 2013). (Online), (Download draft)
Multiple instance learning of Calmodulin binding sites, Fayyaz Minhas and Asa Ben-Hur. Bioinformatics (2012) 28(18): i416-i422 (special ECCB 2012 issue). (Paper), (Download draft), (Application webserver)
Automated Classification of Liver Disorders using Ultrasound Images, Fayyaz Minhas, Durr-e-Sabih, Mutawarra Hussain, in Journal of Medical Systems, vol. 34, no. 5, pp. 3163-3172, 2012 (Online), (Download draft)
MOX: A Novel Global Optimization Algorithm Inspired from Oviposition Site Selection and Egg Hatching Inhibition in Mosquitoes, Fayyaz Minhas and M. Arif in Journal of Applied Soft Computing, vol. 11, no. 8, pp. 4614-4625, 2011 (Paper), (Download draft), (Matlab Code)
Detection and Localization of Myocardial Infarction using K-Nearest Neighbor Classifier M. Arif, I.A. Malagore, Fayyaz .A. Afsar, Journal of Medical Systems, DOI 10.1007/s10916-010-9474-3, 2010. (Online)
Pruned Fuzzy K-nearest neighbor Classifier for Beat Classification, M. Arif, M. Usman Akram, Fayyaz Minhas, in Journal of Biomedical Science and Engineering (JBISE), vol. 2010, no. 3, pp. 380-389, 2010. (Online)
Robust Electrocardiogram (ECG) beat classification using Discrete Wavelet Transform, Fayyaz Minhas and M. Arif, in Physiological Measurement, 29 (2008), pp. 1-16, 2008. (Online)
Detection of ST Segment Deviation Episodes in the ECG using KLT with an Ensemble Neural Classifier, Fayyaz Minhas and M. Arif, in Physiological Measurement 29 (2008), pp. 747-760, 2008. (Online)
Dawood, Muhammad, Piotr Keller, and Fayyaz ul Amir Afsar Minhas. “Do Tissue Source Sites Leave Identifiable Signatures in Whole Slide Images beyond Staining?,” in proc. ICLR 2023 Workshop on Trustworthy Machine Learning for Healthcare, May 2023. https://openreview.net/forum?id=flfJ1OwD-FD.
Keller, Piotr, Muhammad Dawood, and Fayyaz ul Amir Afsar Minhas. “Maximum Mean Discrepancy Kernels for Predictive and Prognostic Modeling of Whole Slide Images.” in proc. IEEE - ISBI 2023 International Symposium on Biomedical Imaging (ISBI), Columbia, April 2023. https://doi.org/10.48550/arXiv.2301.09624.
Mackenzie, Callum Christopher, Muhammad Dawood, Simon Graham, Mark Eastwood, and Fayyaz ul Amir Afsar Minhas. “Neural Graph Modelling of Whole Slide Images for Survival Ranking.” In Proceedings of the First Learning on Graphs Conference, 48:1-48:10. PMLR, 2022. https://proceedings.mlr.press/v198/mackenzie22a.html.
Vu, Quoc Dang, Robert Jewsbury, Simon Graham, Mostafa Jahanifar, Shan E. Ahmed Raza, Fayyaz Minhas, Abhir Bhalerao, and Nasir Rajpoot. “Nuclear Segmentation and Classification: On Color and Compression Generalization.” In Machine Learning in Medical Imaging, edited by Chunfeng Lian, Xiaohuan Cao, Islem Rekik, Xuanang Xu, and Zhiming Cui, 249–58. Lecture Notes in Computer Science. Cham: Springer Nature Switzerland, 2022. https://doi.org/10.1007/978-3-031-21014-3_26.
Yaseen, Adiba, Imran Amin, Naeem Akhter, Asa Ben-Hur, and Fayyaz Minhas. “Insights into Performance Evaluation of Compound-Protein Interaction Prediction Methods.” in proc. 21st European Conference on Computational Biology (ECCB), Barcelona, Spain, 12-21 September, 2022. (Preprint: http://arxiv.org/abs/2202.00001).
Wright, George, Fayyaz ul Amir Afsar Minhas, Slawomir Michniewski, and Eleanor Jameson. “Machine Learning to Hunt for Phage Proteins to Catch Klebsiella,” in proc. Machine Learning in Drug Discovery (MLDD) Workshop, in Tenth International Conference on Learning Representations (Virtual), April 29, 2022. https://openreview.net/forum?id=WjqRD8uRkXt.
Mark Eastwood, Silviu Tudor Marc, Xiaohong Gao, Heba Sailem, Judith Offman, Emmanouil Karteris, Angeles Montero Fernandez, Danny Jonigk, William Cookson, Miriam Moffatt, Sanjay Popat, Jan Lukas Robertus and Fayyaz Minhas, "Malignant Mesothelioma Subtyping of Tissue Images via Sampling Driven Multiple Instance Prediction." in proc. 20th International Conference on Artificial Intelligence in Medicine, Halifax, Canada, 14-17th June 2022 (https://aime22.aimedicine.info/) pp. 263–72. Lecture Notes in Computer Science. Cham: Springer International Publishing, 2022. https://doi.org/10.1007/978-3-031-09342-5_25.
Mahmoud Ali, Fayyaz Minhas, Peter Whitney, David Snead, "Digital pathology archiving based on SNOMED codes", poster presentation in Digital Pathology Congress 2021 (best poster award).
Simon Graham, Mostafa Jahanifar, Ayesha Azam, Mohammed Nimir, Yee-Wah Tsang, Katherine Dodd, Emily Hero, Harvir Sahota, Atisha Tank, Ksenija Benes, Noorul Wahab, Fayyaz Minhas, Shan E. Ahmed Raza, Hesham El Daly, Kishore Gopalakrishnan, David Snead, and Nasir M. Rajpoot, “Lizard: A Large-Scale Dataset for Colonic Nuclear Instance Segmentation and Classification,” in proc. IEEE/CVF International Conference on Computer Vision (ICCV) Workshop workshop on Computational Challenges in Digital Pathology (CDpath), pp. 684–93, 2021. https://openaccess.thecvf.com/content/ICCV2021W/CDPath/html/Graham_Lizard_A_Large-Scale_Dataset_for_Colonic_Nuclear_Instance_Segmentation_and_ICCVW_2021_paper.html.
Srijay Deshpande, Fayyaz Minhas, and Nasir M. Rajpoot, "Synthesis of Colon Cancer Tissue Images from Glandular Structure Layout", poster in Medical Imaging meets NeurIPS workshop (MedNeurips), Dec 14, 2021. Link: https://nips.cc/Conferences/2021/ScheduleMultitrack?event=21830#collapse36823
Dawood, Muhammad, Kim Branson, Nasir M. Rajpoot, and Fayyaz ul Amir Afsar Minhas. “All You Need Is Color: Image Based Spatial Gene Expression Prediction Using Neural Stain Learning.” In proc. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD, PharML 2021: Applications of Machine Learning in Pharma and Healthcare), 13th - 17th September 2021, Machine Learning and Principles and Practice of Knowledge Discovery in Databases, pp. 437–50. Communications in Computer and Information Science. Cham: Springer International Publishing, 2021. https://doi.org/10.1007/978-3-030-93733-1_32. (preprint: http://arxiv.org/abs/2108.10446. )
Minhas, Fayyaz, Michael S. Toss, Noor ul Wahab, Emad Rakha, and 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 Na\"ive Breast Cancer Patients.” in proc. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD, PharML 2021: Applications of Machine Learning in Pharma and Healthcare worksop), pp. 390-400, 13th - 17th September 2021, ArXiv:2108.10365 [Cs, Stat], 2021. DOI: https://doi.org/10.1007/978-3-030-93733-1_27 (Preprint: http://arxiv.org/abs/2108.10365.)
Dawood, Muhammad, Kim Branson, Nasir M. Rajpoot, and Fayyaz ul Amir Afsar Minhas. “ALBRT: Cellular Composition Prediction in Routine Histology Images.” In International Conference on Computer Vision (ICCV-Computational Challenges in Digital Pathology (CDPath) Workshop) Oct. 11-17, 2021 ArXiv:2108.08306 [Eess, q-Bio], 2021. http://arxiv.org/abs/2108.08306.
Asif, Amina, Muhammad Dawood, and Fayyaz ul Amir Afsar Minhas. “A Generalized Meta-Loss Function for Regression and Classification Using Privileged Information.” in proc. 30th International Conference on Artificial Neural Networks (ICANN European Neural Network Society) , Sept. 14-17, 2021. (preprint: ArXiv:1811.06885 [Cs, Stat], March 25, 2019. http://arxiv.org/abs/1811.06885.)
Albusayli, Rawan, Dinny Graham, Nirmala Pathmanathan, Muhammad Shaban, Fayyaz Minhas, Jane E. Armes, and Nasir M. Rajpoot. “Simple Non-Iterative Clustering and CNNs for Coarse Segmentation of Breast Cancer Whole-Slide Images.” In Medical Imaging 2021: Digital Pathology, 11603:116030I. International Society for Optics and Photonics, 2021. https://doi.org/10.1117/12.2581978.
Deshpande, Srijay, Fayyaz Minhas, and Nasir Rajpoot. “Train Small, Generate Big: Synthesis of Colorectal Cancer Histology Images.” In Simulation and Synthesis in Medical Imaging, edited by Ninon Burgos, David Svoboda, Jelmer M. Wolterink, and Can Zhao, 164–73. Lecture Notes in Computer Science. Cham: Springer International Publishing, 2020. https://doi.org/10.1007/978-3-030-59520-3_17. (in Simulation and Synthesis in Medical Imaging (SASHIMI) Workshop, 23rd International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), October 4, 2020, Peru.)
W. Lu, S. Graham, M. Bilal, N. Rajpoot and Fayyaz Minhas, "Capturing Cellular Topology in Multi-Gigapixel Pathology Images", in proc., IEEE Conference on Computer Vision and Pattern Recognition (Deep Learning for Geometric Computing Workshop and Challenge), June 16-18, 2020. Seattle, Washington, USA (link).
A Yaar, A. Asif, S. Raza, N. Rajpoot and Fayyaz Minhas, "Cross-Domain Knowledge Transfer for Prediction of Chemosensitivity in Ovarian Cancer Patients", in proc., IEEE Conference on Computer Vision and Pattern Recognition (Visual Learning with Limited Labels Workshop), June 16-18, 2020, Seattle, Washington, USA (link).
A Asif and Fayyaz Minhas, "Generalized Neural Framework for Learning with Rejection" in proc. International Joint Conference on Neural Networks (IJCNN), IEEE World Congress on Computational Intelligence, July 19-24, 2020, Glasgow, Scotland. (preprint: http://arxiv.org/abs/1911.00896.)
Ahsan, Usama, and Fayyaz Minhas. “AutoQP: Genetic Programming for Quantum Programming.” In 2020 17th International Bhurban Conference on Applied Sciences and Technology (IBCAST), 378–82, 2020. https://doi.org/10.1109/IBCAST47879.2020.9044554.
Kanza Hamid, Amina Asif, Wajid Abbasi, Durre Sabih and Fayyaz Minhas, Machine learning with abstention for automated liver disease diagnosis, in proc. 15th International Conference on Frontiers of Information Technology (FIT 2017), December 18-20, 2017, Islamabad, Pakistan.(Paper)
Fahad Hassan and Fayyaz Minhas, Deep and self-taught learning for protein accessible surface area prediction, in proc. 15th International Conference on Frontiers of Information Technology (FIT 2017), December 18-20, 2017, Islamabad, Pakistan. (Paper)
Protein Binding Affinity Prediction Using Support Vector Regression and Interfacial Features, Adiba Yaseen, Wajid A. Abbasi and Fayyaz Minhas in proc. 14th IEEE International Bhurban Conference on Applied Sciences and Technology (IBCAST), Islamabad, Pakistan, 9-13 Jan. 2017.(Paper)
Real Time Eye Tracking using Kalman Extended Spatio-Temporal Context Learning, by Farzeen Munir, Fayyaz Minhas, Abdul Jalil and Moongu Jeon in proc. International conference on Pattern Recognition (http://icopr.org/), May 1-2, Singapore. (Paper)
In Silico Prediction of Calmodulin Interactions, by Wajid Abbasi and Fayyaz Minhas, in proc. 3rd National Computational Science Conference (NCSC 2015), Institute of Space Technology, Islamabad, Pakistan (presentation only).
A new novelty detector for finding abnormal beats in ECG recordings, Fayyaz Minhas, in proc. International conference on Integrative Biology summit, Las Vegas, NV, USA, August 5-7, 2013. (Online Abstract)(biorxiv preprint.)
Multiple instance learning of Calmodulin binding sites, Fayyaz Minhas and Asa Ben-Hur, in proc. 11th European Conference on Computational Biology (ECCB), Basel, Switzerland, 9-12 September 2012. (Online, conference acceptance: 48 out of 348). (Paper) (Application webserver)
Performance Comparisons of Classifiers for Medical Image Segmentation with Transform and Moment based features, Asim Imdad, A. Jalil and Fayyaz Minhas, in proc. 8th International Bhurban Conference on Applied Science & Technology, Islamabad, Pakistan, Jan 2011.
Prediction of Acute Hypotension Episodes in Pakistan Taking Pressor Medication using Modeling of Arterial Blood Pressure, Fayyaz Minhas, in proc. International Conference on Bioinformatics and Biomedical Engineering, Chengdu, China, June 2010. (Online)
Automatic Detection and Localization of Myocardial Infarction using Back Propagation Neural Networks, Muhammad Arif, Ijaz Ahmed Malagore and Fayyaz Minhas, in proc. International Conference on Bioinformatics and Biomedical Engineering, Chengdu, China, June 2010 (Online).
Wavelet Transform Based Automatic Speaker Recognition, S. Malik and Fayyaz Minhas, in proc. International Multitopic Conference (INMIC), Islamabad, Pakistan, December 2010. (Online)
Arrhythmia Beat Classification using Pruned Fuzzy K-Nearest Neighbor Classifier, M. Arif, M. Usman Akram and Fayyaz Minhas, in proc. 2009 International Conference of Soft Computing and Pattern Recognition, Malacca, Malaysia, 04-07 December 2010. (Online) .
A Comparison of Baseline Removal Algorithms for Electrocardiogram (ECG) based Automated Diagnosis of Coronary Heart Disease, Fayyaz Minhas, M. S. Riaz and M. Arif, in proc. 3rd International Conference on Bioinformatics & Biomedical Engineering (iCBBE-2009), Beijing, PR of China, June 11-13, 2009. (Online)
Arif Index for Predicting the Classification Accuracy of Features and its Application in Heart Beat Classification Problem, M. Arif, Fayyaz Minhas , M. U. Akram, A. Fida, in proc. 13th Pacific-Asia Conference on Knowledge Discovery and Data Mining, 2009 (PAKDD09). (Online)
A Pruned Fuzzy k-Nearest Neighbor Classifier with Application to Electrocardiogram based Cardiac Arrhythmia Recognition, Fayyaz Minhas, M. U. Akram, M. Arif, J. Khurshid, in proc. Intl. Multi-topic Conference (INMIC) 2008, Karachi, Pakistan, December 23-24, 2008. (Online)
Person Identification based on Palm & Hand Geometry, Qaiser N. Ashraf and Fayyaz Minhas, presented at Doctoral Symposium on Computer Science, Lahore, Pakistan, August 9-10, 2008. (Download)
Robust Classification of ECG Beats using Discrete Wavelet Transform & Principal Component Analysis, Fayyaz Minhas, and M. Arif, in proc. 2nd International Conference on Bioinformatics & Biomedical Engineering (iCBBE-2008), Shanghai, PR of China, May 16-18, 2008. (Online)
Detection of ST Segment Deviation Episodes in the ECG using KLT with an Ensemble Neural Classifier, Fayyaz Minhas, and M. Arif, in proc. IEEE International Conference on Emerging Technologies (ICET) 2007, Rawalpindi, Pakistan, 2007. (Online)
QRS Detection & Delineation for ECG Based Robust Clinical Decision Support System Design, Fayyaz Minhas, and M. Arif, in proc. National Research Conference 2007, Lahore, Pakistan, 2007 (Online).
Genetic Algorithm Based Path Planning and Optimization for Autonomous Mobile Robots with Morphological Preprocessing, Fayyaz Minhas, M. Arif, and M. Hussain, in proc. IEEE International Multitopic Conference (INMIC) 2006, Karachi, Pakistan, 2006. (Online)
An Effective Approach to Fingerprint Segmentation using Fisher Basis, Fayyaz Minhas, M. Arif and M. Hussain, in proc. IEEE International Multitopic Conference (INMIC) 2005, Karachi, Pakistan, 2005. (Online)
Wavelet Transform Based Global Features for Online Signature Recognition, Fayyaz Minhas, U. Farrukh and M. Arif, in proc. IEEE International Multitopic Conference (INMIC) 2005, Karachi, Pakistan, 2005 (Online).
Development of a Minutiae Based Fingerprint Identification System, Fayyaz Minhas, M. Arif and M. Hussain, in proc. International Science Conference, Muzzaffarabad, Pakistan, Oct. 2004.
Fingerprint Identification and Verification using Minutiae Matching, Fayyaz Minhas, M. Arif and M. Hussain, in proc. National Conference on Emerging Technologies, Karachi, Pakistan, 2004. (Download)
Fingerprint Based Person Identification and Verification for Commercial Applications, Fayyaz Minhas, M. Arif, M. Hussain, in proc. IEEE International Multitopic Conference (INMIC) 2004, Lahore, Pakistan, 2004. (Online)
The Machine Learning Revolution in Medical Informatics and Computational Biology, Fayyaz Minhas at 2nd Interdisciplinary Statistical Data Analysis Workshop, Swat Institute of Nuclear Medicine, Oncology & Radiotherapy (SINOR), August 21-23, 2017. (Download)
Learning Machine Learning for the Future, Fayyaz Minhas at Department of Electrical Engineering, Islamic International University, Islambad, Pakistan (April 20, 2016). (Download)
Computational Tools in Proteomics & Interactomics, Fayyaz Minhas in Workshop on the use of Bioinformatics in High throughput sequencing, Genomics, Transcriptomics and Proteomics, National Institute of Biotechnology and Genetic Engineering (NIBGE) Faisalabad, Pakistan March 31, 2015. (Download)
PAIRpred: Partner-Specific Prediction Of Interacting Residues In Protein Complexes, Fayyaz Minhas, Brian Geiss and Asa Ben-Hur, oral and poster presentation in 11th Annual Rocky Mountain Bioinformatics Conference, 2013, Aspen, Colorado USA.
PAIRpred: Partner-Specific Prediction Of Interacting Residues In Protein Complexes, Fayyaz Minhas, Brian Geiss and Asa Ben-Hur, poster presentation in Structural Bioinformatics and Computational Biophysics (3DSIG), July 19-20, 2013, Berlin, Germany. (Download)
PAIRpred: Prediction of partner-specific interacting residues from sequence and structure, Fayyaz Minhas, Brian Geiss and Asa Ben-Hur, oral presentation in Seventh International Workshop on Machine Learning in Systems Biology (MLSB13), July 19-20, 2013, Berlin, Germany. (Abstract)
RAMClust: an unsupervised feature clustering method for non-targeted metabolomics datasets, Corey Broeckling, Fayyaz Minhas, Asa Ben-Hur, Jessica Prenni, oral presentation in 61st American Society for Mass Spectrometry (ASMS) Conference, June 9 - 13, 2013, Minneapolis, USA.
Tutorial on fingerprint based person identification, Fayyaz Minhas, presented in International Symposium on Biometrics & Security Technologies (ISBAST 2008) at Bahria University, Islamabad, Pakistan, April 23, 2008.
Fayyaz Minhas, Large-margin methods for partner-specific prediction of protein interfaces, Ph.D. dissertation, Dept. of Computer Science, Colorado State University, Fort Collins, Colorado, USA, 2014. (Online)
Fayyaz Minhas, A taxonomy of protein binding problems, Research exam report, Department of Computer Science, Colorado State University, Fort Collins, Colorado, USA, 2012. (Online)
Fayyaz Minhas, Open Heart: ECG Based Cardiac Disease Analysis and Diagnosis System, MS (System Engineering) thesis, Pakistan Institute of Engineering and Applied Sciences, Islamabad, Pakistan, 2007. (Online)
Fayyaz Minhas, Automatic Fingerprint Identification and Verification, BS (Computer and Information Sciences) thesis, Pakistan Institute of Engineering and Applied Sciences, Islamabad, Pakistan, 2005. (Online)