Cellular Segmentation and Composition in Routine Histology Images using Deep Learning. - Muhammad Dawood; Raja Muhammad Saad Bashir; Srijay Deshpande; Manahil Raza; Adam J. Shephard (CoRR, 2022)

Mimicking a Pathologist: Dual Attention Model for Scoring of Gigapixel Histology Images. - Manahil Raza; Ruqayya Awan; Raja Muhammad Saad Bashir; Talha Qaiser; Nasir M. Rajpoot (CoRR, 2023)

A Novel Approach to Linking Histology Images with DNA Methylation. - Manahil Raza; Muhammad Dawood; Talha Qaiser; Nasir M. Rajpoot (ECCV Workshops (16), 2024)

Dual attention model with reinforcement learning for classification of histology whole-slide images. - Manahil Raza; Ruqayya Awan; Raja Muhammad Saad Bashir; Talha Qaiser; Nasir M. Rajpoot (Comput. Medical Imaging Graph., 2024)

Stain-Invariant Representation for Tissue Classification in Histology Images. - Manahil Raza; Raja Muhammad Saad Bashir; Talha Qaiser; Nasir M. Rajpoot (CoRR, 2024)

Foundation Models in Computational Pathology: A Review of Challenges, Opportunities, and Impact. - Mohsin Bilal; Aadam; Manahil Raza; Youssef N. Altherwy; Anas Alsuhaibani; Abdulrahman Alabduljabbar; Fahdah Almarshad; Paul Golding; Nasir M. Rajpoot (CoRR, 2025)

Domain Generalization in Computational Pathology: Survey and Guidelines. - 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 (ACM Comput. Surv., 2025)