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Shan E Ahmed Raza
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- affiliation: University of Warwick, Department of Computer Science
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Books and Theses
- 2014
- [b1]Shan-E-Ahmed Raza:
Multi-variate image analysis for detection of biomedical anomalies. University of Warwick, Coventry, UK, 2014
Journal Articles
- 2024
- [j17]Raja Muhammad Saad Bashir, Talha Qaiser, Shan E Ahmed Raza
, Nasir M. Rajpoot
:
Consistency regularisation in varying contexts and feature perturbations for semi-supervised semantic segmentation of histology images. Medical Image Anal. 91: 102997 (2024) - [j16]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) - [j15]Mostafa Jahanifar
, Adam Shephard
, Neda Zamanitajeddin
, Simon Graham, Shan E Ahmed Raza
, Fayyaz Minhas, Nasir M. Rajpoot
:
Mitosis detection, fast and slow: Robust and efficient detection of mitotic figures. Medical Image Anal. 94: 103132 (2024) - [j14]Yiping Jiao
, Jeroen van der Laak
, Shadi Albarqouni
, Zhang Li
, Tao Tan
, Abhir Bhalerao
, Shenghua Cheng
, Jiabo Ma
, John Pocock
, Josien P. W. Pluim, Navid Alemi Koohbanani
, Raja Muhammad Saad Bashir
, Shan-E-Ahmed Raza
, Sibo Liu
, Simon Graham
, Suzanne C. Wetstein
, Syed Ali Khurram
, Xiuli Liu, Nasir M. Rajpoot
, Mitko Veta
, Francesco Ciompi
:
LYSTO: The Lymphocyte Assessment Hackathon and Benchmark Dataset. IEEE J. Biomed. Health Informatics 28(3): 1161-1172 (2024) - 2023
- [j13]Najah M. Alsubaie
, Shan-E-Ahmed Raza, David R. J. Snead, Nasir M. Rajpoot:
Growth Pattern Fingerprinting for Automatic Analysis of Lung Adenocarcinoma Overall Survival. IEEE Access 11: 23335-23346 (2023) - [j12]Ruqayya Awan
, Shan E Ahmed Raza, Johannes Lotz
, Nick Weiss
, Nasir M. Rajpoot:
Deep feature based cross-slide registration. Comput. Medical Imaging Graph. 104: 102162 (2023) - [j11]Gozde N. Gunesli, Mohsin Bilal, Shan-E-Ahmed Raza, Nasir M. Rajpoot:
A Federated Learning Approach to Tumor Detection in Colon Histology Images. J. Medical Syst. 47(1): 99 (2023) - [j10]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) - [j9]Quoc Dang Vu
, Kashif Rajpoot, Shan-E-Ahmed Raza
, Nasir M. Rajpoot:
Handcrafted Histological Transformer (H2T): Unsupervised representation of whole slide images. Medical Image Anal. 85: 102743 (2023) - 2021
- [j8]Ruchika Verma
, Neeraj Kumar
, Abhijeet Patil, Nikhil Cherian Kurian, Swapnil Rane
, Simon Graham
, Quoc Dang Vu, Mieke Zwager
, Shan-E-Ahmed Raza
, Nasir M. Rajpoot, Xiyi Wu, Huai Chen, Yijie Huang, Lisheng Wang
, Hyun Jung, G. Thomas Brown, Yanling Liu, Shuolin Liu, Seyed Alireza Fatemi Jahromi, Ali Asghar Khani, Ehsan Montahaei, Mahdieh Soleymani Baghshah, Hamid Behroozi, Pavel Semkin, Alexandr Rassadin, Prasad Dutande, Romil Lodaya, Ujjwal Baid, Bhakti Baheti, Sanjay N. Talbar
, Amirreza Mahbod
, Rupert Ecker, Isabella Ellinger
, Zhipeng Luo, Bin Dong, Zhengyu Xu, Yuehan Yao, Shuai Lv, Ming Feng, Kele Xu
, Hasib Zunair, Abdessamad Ben Hamza, Steven M. Smiley, Tang-Kai Yin, Qi-Rui Fang, Shikhar Srivastava, Dwarikanath Mahapatra, Lubomira Trnavska, Hanyun Zhang
, Priya Lakshmi Narayanan, Justin Law, Yinyin Yuan
, Abhiroop Tejomay, Aditya Mitkari, Dinesh Koka, Vikas Ramachandra, Lata Kini, Amit Sethi:
MoNuSAC2020: A Multi-Organ Nuclei Segmentation and Classification Challenge. IEEE Trans. Medical Imaging 40(12): 3413-3423 (2021) - 2019
- [j7]Shan E Ahmed Raza
, Linda Cheung, Muhammad Shaban, Simon Graham
, David B. A. Epstein
, Stella Pelengaris, Michael Khan
, Nasir M. Rajpoot
:
Micro-Net: A unified model for segmentation of various objects in microscopy images. Medical Image Anal. 52: 160-173 (2019) - [j6]Simon Graham
, Quoc Dang Vu
, Shan E Ahmed Raza
, Ayesha Azam, Yee-Wah Tsang, Jin Tae Kwak
, Nasir M. Rajpoot
:
Hover-Net: Simultaneous segmentation and classification of nuclei in multi-tissue histology images. Medical Image Anal. 58 (2019) - 2017
- [j5]Guannan Li, Shan-E-Ahmed Raza
, Nasir M. Rajpoot
:
Multi-resolution cell orientation congruence descriptors for epithelium segmentation in endometrial histology images. Medical Image Anal. 37: 91-100 (2017) - 2016
- [j4]Shan-E-Ahmed Raza
, Daniel Langenkämper
, Korsuk Sirinukunwattana
, David B. A. Epstein, Tim W. Nattkemper
, Nasir M. Rajpoot
:
Robust normalization protocols for multiplexed fluorescence bioimage analysis. BioData Min. 9: 11 (2016) - [j3]Korsuk Sirinukunwattana
, Shan E Ahmed Raza
, Yee-Wah Tsang, David R. J. Snead, Ian A. Cree, Nasir M. Rajpoot
:
Locality Sensitive Deep Learning for Detection and Classification of Nuclei in Routine Colon Cancer Histology Images. IEEE Trans. Medical Imaging 35(5): 1196-1206 (2016) - 2015
- [j2]Shan-E-Ahmed Raza
, Victor Sanchez, Gillian Prince, John P. Clarkson
, Nasir M. Rajpoot
:
Registration of thermal and visible light images of diseased plants using silhouette extraction in the wavelet domain. Pattern Recognit. 48(7): 2119-2128 (2015) - 2014
- [j1]Adnan Mujahid Khan, Shan-E-Ahmed Raza
, Michael Khan
, Nasir M. Rajpoot
:
Cell phenotyping in multi-tag fluorescent bioimages. Neurocomputing 134: 254-261 (2014)
Conference and Workshop Papers
- 2024
- [c22]Adith Jeyasangar, Abdullah Alsalemi
, Shan E Ahmed Raza
:
Nuclei-Location Based Point Set Registration of Multi-stained Whole Slide Images. MIUA (1) 2024: 372-386 - 2022
- [c21]Xiaoxi Pan, Hanyun Zhang, Anca-Ioana Grapa, Khalid AbdulJabbar, Shan-E-Ahmed Raza, Ho Kwan Alvin Cheung, Takahiro Karasaki, John Le Quesne, David A. Moore, Charles Swanton, Yinyin Yuan:
Cross-Stream Interactions: Segmentation of Lung Adenocarcinoma Growth Patterns. CMMCA@MICCAI 2022: 78-90 - [c20]Gozde N. Gunesli, Robert Jewsbury, Shan-E-Ahmed Raza, Nasir M. Rajpoot:
Morph-Net: End-to-End Prediction of Nuclear Morphological Features from Histology Images. MOVI@MICCAI 2022: 136-144 - [c19]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 - [c18]Raja Muhammad Saad Bashir
, Muhammad Shaban
, Shan E Ahmed Raza
, Syed Ali Khurram
, Nasir M. Rajpoot
:
A Novel Framework for Coarse-Grained Semantic Segmentation of Whole-Slide Images. MIUA 2022: 425-439 - 2021
- [c17]Hammam M. AlGhamdia, Navid Alemi Koohbanani, Nasir M. Rajpoot, Shan E Ahmed Raza:
A Novel Cell Map Representation for Weakly Supervised Prediction of ER & PR Status from H&E WSIs. COMPAY@MICCAI 2021: 10-19 - [c16]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 - 2020
- [c15]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 - [c14]Raja Muhammad Saad Bashir, Talha Qaiser, Shan-E-Ahmed Raza, Nasir M. Rajpoot
:
HydraMix-Net: A Deep Multi-task Semi-supervised Learning Approach for Cell Detection and Classification. iMIMIC/MIL3ID/LABELS@MICCAI 2020: 164-171 - [c13]Raja Muhammad Saad Bashir, Hanya Mahmood
, Muhammad Shaban, Shan-E-Ahmed Raza, Muhammad Moazam Fraz
, Syed Ali Khurram, Nasir M. Rajpoot:
Automated grade classification of oral epithelial dysplasia using morphometric analysis of histology images. Medical Imaging: Digital Pathology 2020: 1132011 - 2019
- [c12]Shan E Ahmed Raza
, Khalid AbdulJabbar, Mariam Jamal-Hanjani, Selvaraju Veeriah, John Le Quesne, Charles Swanton, Yinyin Yuan
:
Deconvolving Convolutional Neural Network for Cell Detection. ISBI 2019: 891-894 - 2018
- [c11]Najah M. Alsubaie, Korsuk Sirinukunwattana, Shan E Ahmed Raza
, David R. J. Snead, Nasir M. Rajpoot
:
A bottom-up approach for tumour differentiation in whole slide images of lung adenocarcinoma. Medical Imaging: Digital Pathology 2018: 105810E - 2017
- [c10]Shan-E-Ahmed Raza
, Linda Cheung, David B. A. Epstein, Stella Pelengaris, Michael Khan, Nasir M. Rajpoot
:
MIMO-Net: A multi-input multi-output convolutional neural network for cell segmentation in fluorescence microscopy images. ISBI 2017: 337-340 - [c9]Shan E Ahmed Raza
, Linda Cheung, David B. A. Epstein, Stella Pelengaris, Michael Khan, Nasir M. Rajpoot
:
MIMONet: Gland Segmentation Using Multi-Input-Multi-Output Convolutional Neural Network. MIUA 2017: 698-706 - 2016
- [c8]Najah M. Alsubaie, Shan-E-Ahmed Raza, Nasir M. Rajpoot
:
Stain deconvolution of histology images via independent component analysis in the wavelet domain. ISBI 2016: 803-806 - [c7]Muhammad Nasim Kashif, Shan E Ahmed Raza, Korsuk Sirinukunwattana, Muhammad Arif, Nasir M. Rajpoot
:
Handcrafted features with convolutional neural networks for detection of tumor cells in histology images. ISBI 2016: 1029-1032 - 2015
- [c6]Korsuk Sirinukunwattana, Shan E Ahmed Raza
, Yee-Wah Tsang, David R. J. Snead, Ian A. Cree, Nasir M. Rajpoot
:
A Spatially Constrained Deep Learning Framework for Detection of Epithelial Tumor Nuclei in Cancer Histology Images. Patch-MI@MICCAI 2015: 154-162 - [c5]Guannan Li, Shan E Ahmed Raza
, Nasir M. Rajpoot
:
A Novel Cell Orientation Congruence Descriptor for Superpixel Based Epithelium Segmentation in Endometrial Histology Images. Patch-MI@MICCAI 2015: 172-179 - [c4]Shan-E-Ahmed Raza
, M. Qaisar Marjan, Muhammad Arif, Farhana Butt, Faisal Sultan, Nasir M. Rajpoot
:
Anisotropic tubular filtering for automatic detection of acid-fast bacilli in Ziehl-Neelsen stained sputum smear samples. Medical Imaging: Digital Pathology 2015: 942005 - [c3]Shan-E-Ahmed Raza, Nasir M. Rajpoot:
Cell Nuclei Segmentation in Variable Intensity Fluorescence Microscopy Images. MIUA 2015: 28-33 - [c2]Najah M. Alsubaie, Nicholas Trahearn, Shan-E-Ahmed Raza, Nasir M. Rajpoot:
A Discriminative Framework for Stain Deconvolution of Histopathology Images in the Maxwellian Space. MIUA 2015: 132-137 - 2012
- [c1]Adnan Mujahid Khan, Ahmad Humayun, Shan-E-Ahmed Raza, Michael Khan, Nasir M. Rajpoot
:
A Novel Paradigm for Mining Cell Phenotypes in Multi-tag Bioimages Using a Locality Preserving Nonlinear Embedding. ICONIP (4) 2012: 575-583
Informal and Other Publications
- 2024
- [i28]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) - [i27]Quoc Dang Vu, Caroline Fong, Anderley Gordon, Tom Lund, Tatiany L. Silveira, Daniel Rodrigues, Katharina von Loga, Shan E Ahmed Raza, David Cunningham, Nasir M. Rajpoot:
An AI based Digital Score of Tumour-Immune Microenvironment Predicts Benefit to Maintenance Immunotherapy in Advanced Oesophagogastric Adenocarcinoma. CoRR abs/2402.19296 (2024) - [i26]Adith Jeyasangar, Abdullah Alsalemi, Shan E Ahmed Raza:
Nuclei-Location Based Point Set Registration of Multi-Stained Whole Slide Images. CoRR abs/2404.17041 (2024) - [i25]Abdullah Alsalemi, Anza Shakeel, Mollie Clark, Syed Ali Khurram, Shan E Ahmed Raza:
An Attention Based Pipeline for Identifying Pre-Cancer Lesions in Head and Neck Clinical Images. CoRR abs/2405.01937 (2024) - 2023
- [i24]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) - [i23]Yiping Jiao, Jeroen van der Laak, Shadi Albarqouni, Zhang Li, Tao Tan, Abhir Bhalerao, Jiabo Ma, Jiamei Sun, Johnathon Pocock, Josien P. W. Pluim, Navid Alemi Koohbanani, Raja Muhammad Saad Bashir, Shan E Ahmed Raza, Sibo Liu, Simon Graham, Suzanne C. Wetstein, Syed Ali Khurram, Thomas Watson, Nasir M. Rajpoot, Mitko Veta, Francesco Ciompi:
LYSTO: The Lymphocyte Assessment Hackathon and Benchmark Dataset. CoRR abs/2301.06304 (2023) - [i22]Raja Muhammad Saad Bashir, Talha Qaiser, Shan E Ahmed Raza, Nasir M. Rajpoot:
Consistency Regularisation in Varying Contexts and Feature Perturbations for Semi-Supervised Semantic Segmentation of Histology Images. CoRR abs/2301.13141 (2023) - [i21]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) - [i20]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) - [i19]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) - [i18]Adam J. Shephard, Hanya Mahmood
, Shan E Ahmed Raza, Anna Luíza Damaceno Araújo, Alan Roger Santos-Silva, Marcio Ajudarte Lopes, Pablo Agustin Vargas, Kris D. McCombe, Stephanie G. Craig, Jacqueline A. James, Jill Brooks, Paul Nankivell, Hisham Mehanna
, Syed Ali Khurram, Nasir M. Rajpoot:
Transformer-based Model for Oral Epithelial Dysplasia Segmentation. CoRR abs/2311.05452 (2023) - [i17]Adam J. Shephard, Mostafa Jahanifar, Ruoyu Wang, Muhammad Dawood, Simon Graham, Kastytis Sidlauskas, Syed Ali Khurram, Nasir M. Rajpoot, Shan E Ahmed Raza:
An Automated Pipeline for Tumour-Infiltrating Lymphocyte Scoring in Breast Cancer. CoRR abs/2311.06185 (2023) - [i16]Arwa Al-Rubaian, Gozde N. Gunesli, Wajd A. Althakfi, Ayesha Azam, Nasir M. Rajpoot, Shan E Ahmed Raza:
Cell Maps Representation For Lung Adenocarcinoma Growth Patterns Classification In Whole Slide Images. CoRR abs/2311.15847 (2023) - 2022
- [i15]Quoc Dang Vu, Kashif Rajpoot, Shan E Ahmed Raza, Nasir M. Rajpoot:
Handcrafted Histological Transformer (H2T): Unsupervised Representation of Whole Slide Images. CoRR abs/2202.07001 (2022) - [i14]Ruqayya Awan, Shan-E-Ahmed Raza, Johannes Lotz, Nick Weiss, Nasir M. Rajpoot:
Deep Feature based Cross-slide Registration. CoRR abs/2202.09971 (2022) - [i13]Ruqayya Awan, Mohammed Nimir, Shan E Ahmed Raza, Johannes Lotz, David R. J. Snead, Andrew Robison, Nasir M. Rajpoot:
Deep Learning based Prediction of MSI in Colorectal Cancer via Prediction of the Status of MMR Markers. CoRR abs/2203.00449 (2022) - [i12]Adam J. Shephard
, Mostafa Jahanifar, Ruoyu Wang, Muhammad Dawood, Simon Graham, Kastytis Sidlauskas, Syed Ali Khurram, Nasir M. Rajpoot, Shan E Ahmed Raza:
TIAger: Tumor-Infiltrating Lymphocyte Scoring in Breast Cancer for the TiGER Challenge. CoRR abs/2206.11943 (2022) - [i11]Mostafa Jahanifar, Adam J. Shephard
, Neda Zamanitajeddin, Shan E Ahmed Raza, Nasir M. Rajpoot:
Stain-Robust Mitotic Figure Detection for MIDOG 2022 Challenge. CoRR abs/2208.12587 (2022) - 2021
- [i10]Muhammad Shaban, Shan E Ahmed Raza, Mariam Hassan, Arif Jamshed, Sajid Mushtaq, Asif Loya, Nikolaos Batis
, Jill Brooks, Paul Nankivell
, Neil Sharma, Max Robinson, Hisham Mehanna
, Syed Ali Khurram, Nasir M. Rajpoot:
A digital score of tumour-associated stroma infiltrating lymphocytes predicts survival in head and neck squamous cell carcinoma. CoRR abs/2104.12862 (2021) - [i9]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) - [i8]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) - [i7]Gozde N. Gunesli, Mohsin Bilal, Shan E Ahmed Raza, Nasir M. Rajpoot:
FedDropoutAvg: Generalizable federated learning for histopathology image classification. CoRR abs/2111.13230 (2021) - [i6]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) - 2020
- [i5]Raja Muhammad Saad Bashir, Talha Qaiser, Shan E Ahmed Raza, Nasir M. Rajpoot:
HydraMix-Net: A Deep Multi-task Semi-supervised Learning Approach for Cell Detection and Classification. CoRR abs/2008.04753 (2020) - 2018
- [i4]Shan-E-Ahmed Raza, Linda Cheung, Muhammad Shaban, Simon Graham, David B. A. Epstein, Stella Pelengaris, Michael Khan, Nasir M. Rajpoot:
Micro-Net: A unified model for segmentation of various objects in microscopy images. CoRR abs/1804.08145 (2018) - [i3]Shan E Ahmed Raza, Khalid AbdulJabbar, Mariam Jamal-Hanjani, Selvaraju Veeriah, John Le Quesne, Charles Swanton, Yinyin Yuan:
Deconvolving convolution neural network for cell detection. CoRR abs/1806.06970 (2018) - [i2]Priya Lakshmi Narayanan, Shan E Ahmed Raza, Andrew Dodson, Barry Gusterson, Mitchell Dowsett, Yinyin Yuan:
DeepSDCS: Dissecting cancer proliferation heterogeneity in Ki67 digital whole slide images. CoRR abs/1806.10850 (2018) - [i1]Simon Graham, Quoc Dang Vu, Shan E Ahmed Raza, Jin Tae Kwak, Nasir M. Rajpoot:
XY Network for Nuclear Segmentation in Multi-Tissue Histology Images. CoRR abs/1812.06499 (2018)
Coauthor Index
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