Fayyaz A. Minhas

Publication Activity (10 Years)

Years Active: 2020-2022
Publications (10 Years): 27

Top Topics

Image Segmentation

Bayes Classifier

Knowledge Transfer

Top Venues

Medical Image Anal.

Publications

Srijay Deshpande, Muhammad Dawood, Fayyaz A. Minhas, Nasir M. Rajpoot
SynCLay: Interactive Synthesis of Histology Images from Bespoke Cellular Layouts. CoRR (2022)
Sadaf Gull, Fayyaz A. Minhas
: Species-Specific Prediction of Anti-microbial Peptides Using Zero and Few Shot Learning. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (1) (2022)
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 (2022)
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 (2022)
Alex Foote, Amina Asif, Nasir M. Rajpoot, Fayyaz A. Minhas
REET: robustness evaluation and enhancement toolbox for computational pathology. Bioinform. 38 (12) (2022)
Alex Foote, Amina Asif, Nasir M. Rajpoot, Fayyaz A. Minhas
REET: Robustness Evaluation and Enhancement Toolbox for Computational Pathology. CoRR (2022)
Adiba Yaseen, Imran Amin, Naeem Akhter, Asa Ben-Hur, Fayyaz A. Minhas
Insights into performance evaluation of com-pound-protein interaction prediction methods. CoRR (2022)
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)
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 (2022)
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 (2021)
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 (2021)
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 (2021)
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 (2021)
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 (2021)
Mostafa Jahanifar, Adam Shepard, 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)
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)
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 (2021)
Fayyaz A. Minhas, Michael S. Toss, Noor ul Wahab, Emad Rakha, Nasir M. Rajpoot
-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)
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 (2021)
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) (2021)
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 (2021)
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 (2021)
Srijay Deshpande, Fayyaz A. Minhas, Simon Graham, Nasir M. Rajpoot
SAFRON: Stitching Across the Frontier for Generating Colorectal Cancer Histology Images. CoRR (2020)
Wenqi Lu, Simon Graham, Mohsin Bilal, Nasir M. Rajpoot, Fayyaz A. Minhas
Capturing Cellular Topology in Multi-Gigapixel Pathology Images. CVPR Workshops (2020)
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)
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 (2020)
Srijay Deshpande, Fayyaz A. Minhas, Nasir M. Rajpoot
Train Small, Generate Big: Synthesis of Colorectal Cancer Histology Images. SASHIMI@MICCAI (2020)