Shan-e-Ahmed Raza

ORCID

Publication Activity (10 Years)

Years Active: 2012-2023
Publications (10 Years): 17

Top Venues

CoRR

ISBI

Medical Imaging: Digital Pathology

Medical Image Anal.

University of Warwick, Coventry, UK (PHD)

Education History

University of Warwick, Coventry, UK

PHD

Publications

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 (2023)
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 (2023)
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)
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)
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)
Ruqayya Awan, Shan-e-Ahmed Raza, Johannes Lotz, Nick Weiss, Nasir M. Rajpoot
Deep Feature based Cross-slide Registration. CoRR (2022)
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)
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) (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)
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)
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)
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 (2018)
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)
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 (2017)
Najah Alsubaie, Shan-e-Ahmed Raza, Nasir M. Rajpoot
Stain deconvolution of histology images via independent component analysis in the wavelet domain. ISBI (2016)
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)
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 (2016)
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)
Shan-e-Ahmed Raza, Nasir M. Rajpoot
Cell Nuclei Segmentation in Variable Intensity Fluorescence Microscopy Images. MIUA (2015)
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) (2015)
Najah 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)
Adnan Mujahid Khan, Shan-e-Ahmed Raza, Michael Khan, Nasir M. Rajpoot
Cell phenotyping in multi-tag fluorescent bioimages. Neurocomputing 134 (2014)
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)

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Publication Activity (10 Years)

Top Topics

Top Venues

Shan-e-Ahmed Raza