Ruqayya Awan - RankMe

17 papers Misc 1Journal 12Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	From Traditional to Deep Learning Approaches in Whole Slide Image Registration: A Methodological Review. CoRR Behnaz Elhaminia, Abdullah Alsalemi, Esha Nasir, Mostafa Jahanifar, Ruqayya Awan, Lawrence Young, Nasir M. Rajpoot, Fayyaz Minhas, Shan E Ahmed Raza
2025	J	`jnl`	INSIGHT: Spatially resolved survival modelling from routine histology crosslinked with molecular profiling reveals prognostic epithelial-immune axes in stage II/III colorectal cancer. CoRR Piotr Keller, Mark Eastwood, Zedong Hu, Aimée Selten, Ruqayya Awan, Gertjan Rasschaert, Sara Verbandt, Vlad Popovici, Hubert Piessevaux, Hayley T. Morris, Petros Tsantoulis, Thomas Alexander McKee, André D'Hoore, Cédric Schraepen, Xavier Sagaert, Gert De Hertogh, Sabine Tejpar, Fayyaz Minhas
2024	J	`jnl`	Dual attention model with reinforcement learning for classification of histology whole-slide images. Comput. Medical Imaging Graph. Manahil Raza, Ruqayya Awan, Raja Muhammad Saad Bashir, Talha Qaiser, Nasir M. Rajpoot
2023	J	`jnl`	Deep feature based cross-slide registration. Comput. Medical Imaging Graph. Ruqayya Awan, Shan E Ahmed Raza, Johannes Lotz, Nick Weiss, Nasir M. Rajpoot
2023	J	`jnl`	Mimicking a Pathologist: Dual Attention Model for Scoring of Gigapixel Histology Images. CoRR Manahil Raza, Ruqayya Awan, Raja Muhammad Saad Bashir, Talha Qaiser, Nasir M. Rajpoot
2022	J	`jnl`	Deep Feature based Cross-slide Registration. CoRR Ruqayya Awan, Shan-E-Ahmed Raza, Johannes Lotz, Nick Weiss, Nasir M. Rajpoot
2022	J	`jnl`	Deep Learning based Prediction of MSI in Colorectal Cancer via Prediction of the Status of MMR Markers. CoRR Ruqayya Awan, Mohammed Nimir, Shan E Ahmed Raza, Johannes Lotz, David R. J. Snead, Andrew Robison, Nasir M. Rajpoot
2022	—	`—`	Deep learning based frameworks for patient selection. Ruqayya Awan
2020	J	`jnl`	Context-Aware Convolutional Neural Network for Grading of Colorectal Cancer Histology Images. IEEE Trans. Medical Imaging Muhammad Shaban, Ruqayya Awan, Muhammad Moazam Fraz, Ayesha Azam, Yee-Wah Tsang, David R. J. Snead, Nasir M. Rajpoot
2020	J	`jnl`	Glandular structure-guided classification of microscopic colorectal images using deep learning. Comput. Electr. Eng. Ruqayya Awan, Somaya Al-Máadeed, Rafif Al-Saady, Ahmed Bouridane
2019	J	`jnl`	Context-Aware Convolutional Neural Network for Grading of Colorectal Cancer Histology Images. CoRR Muhammad Shaban, Ruqayya Awan, Muhammad Moazam Fraz, Ayesha Azam, David R. J. Snead, Nasir M. Rajpoot
2018	—	`conf`	Context-Aware Learning Using Transferable Features for Classification of Breast Cancer Histology Images. ICIAR Ruqayya Awan, Navid Alemi Koohbanani, Muhammad Shaban, Anna Lisowska, Nasir M. Rajpoot
2018	J	`jnl`	Context-Aware Learning using Transferable Features for Classification of Breast Cancer Histology Images. CoRR Ruqayya Awan, Navid Alemi Koohbanani, Muhammad Shaban, Anna Lisowska, Nasir M. Rajpoot
2018	—	`conf`	Deep Autoencoder Features for Registration of Histology Images. MIUA Ruqayya Awan, Nasir M. Rajpoot
2016	—	`conf`	How divided is a cell? Eigenphase nuclei for classification of mitotic phase in cancer histology images. BHI Ruqayya Awan, Nada A. Aloraidi, Uvais Qidwai, Nasir M. Rajpoot
2015	J	`jnl`	Spatial and spatio-temporal feature extraction from 4D echocardiography images. Comput. Biol. Medicine Ruqayya Awan, Kashif Rajpoot
2014	Misc	`conf`	Investigation of 3D and 4D Feature Extraction from Echocardiography Images Using Local Phase Based Method. FIT Ruqayya Awan, Kashif Rajpoot