Shan-E-Ahmed Raza

31 papers Journal 17Unranked 13

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	CORE - A Cell-Level Coarse-to-Fine Image Registration Engine for Multi-stain Image Alignment. CoRR Esha Sadia Nasir, Behnaz Elhaminia, Mark Eastwood, Catherine King, Owen Cain, Lorraine Harper, Paul Moss, Dimitrios Chanouzas, David R. J. Snead, Nasir M. Rajpoot, Adam J. Shephard, Shan-E-Ahmed Raza
2025	—	`conf`	Deep Learning Based Segmentation of Blood Vessels from H&E Stained Oesophageal Adenocarcinoma Whole-Slide Images. ISBI Jiaqi Lv, Stefan S. Antonowicz, Shan-E-Ahmed Raza
2025	J	`jnl`	MitoDetect++: A Domain-Robust Pipeline for Mitosis Detection and Atypical Subtyping. CoRR Esha Sadia Nasir, Jiaqi Lv, Mostafa Jahanifar, Shan-E-Ahmed Raza
2024	J	`jnl`	CoNIC Challenge: Pushing the frontiers of nuclear detection, segmentation, classification and counting. Medical Image Anal. 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
2024	J	`jnl`	LYSTO: The Lymphocyte Assessment Hackathon and Benchmark Dataset. IEEE J. Biomed. Health Informatics 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
2023	J	`jnl`	A Federated Learning Approach to Tumor Detection in Colon Histology Images. J. Medical Syst. Gozde Nur Gunesli, Mohsin Bilal, Shan-E-Ahmed Raza, Nasir M. Rajpoot
2023	J	`jnl`	CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting. CoRR 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
2023	J	`jnl`	Growth Pattern Fingerprinting for Automatic Analysis of Lung Adenocarcinoma Overall Survival. IEEE Access Najah Alsubaie, Shan-E-Ahmed Raza, David R. J. Snead, Nasir M. Rajpoot
2023	J	`jnl`	Handcrafted Histological Transformer (H2T): Unsupervised representation of whole slide images. Medical Image Anal. Quoc Dang Vu, Kashif Rajpoot, Shan-E-Ahmed Raza, Nasir M. Rajpoot
2023	J	`jnl`	One model is all you need: Multi-task learning enables simultaneous histology image segmentation and classification. Medical Image Anal. Simon Graham, Quoc Dang Vu, Mostafa Jahanifar, Shan-E-Ahmed Raza, Fayyaz A. Afsar, David R. J. Snead, Nasir M. Rajpoot
2022	—	`conf`	Cross-Stream Interactions: Segmentation of Lung Adenocarcinoma Growth Patterns. CMMCA@MICCAI 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
2022	J	`jnl`	Deep Feature based Cross-slide Registration. CoRR Ruqayya Awan, Shan-E-Ahmed Raza, Johannes Lotz, Nick Weiss, Nasir M. Rajpoot
2022	—	`conf`	Morph-Net: End-to-End Prediction of Nuclear Morphological Features from Histology Images. MOVI@MICCAI Gozde Nur Gunesli, Robert Jewsbury, Shan-E-Ahmed Raza, Nasir M. Rajpoot
2022	—	`conf`	Nuclear Segmentation and Classification: On Color and Compression Generalization. MLMI@MICCAI Quoc Dang Vu, Robert Jewsbury, Simon Graham, Mostafa Jahanifar, Shan-E-Ahmed Raza, Fayyaz Minhas, Abhir Bhalerao, Nasir M. Rajpoot
2021	—	`conf`	Lizard: A Large-Scale Dataset for Colonic Nuclear Instance Segmentation and Classification. ICCVW 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
2021	J	`jnl`	Lizard: A Large-Scale Dataset for Colonic Nuclear Instance Segmentation and Classification. CoRR 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
2021	J	`jnl`	MoNuSAC2020: A Multi-Organ Nuclei Segmentation and Classification Challenge. IEEE Trans. Medical Imaging 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
2020	—	`conf`	Automated grade classification of oral epithelial dysplasia using morphometric analysis of histology images. Digital Pathology Raja Muhammad Saad Bashir, Hanya Mahmood, Muhammad Shaban, Shan-E-Ahmed Raza, Muhammad Moazam Fraz, Syed Ali Khurram, Nasir M. Rajpoot
2020	—	`conf`	HydraMix-Net: A Deep Multi-task Semi-supervised Learning Approach for Cell Detection and Classification. iMIMIC/MIL3ID/LABELS@MICCAI Raja Muhammad Saad Bashir, Talha Qaiser, Shan-E-Ahmed Raza, Nasir M. Rajpoot
2018	J	`jnl`	Micro-Net: A unified model for segmentation of various objects in microscopy images. CoRR Shan-E-Ahmed Raza, Linda Cheung, Muhammad Shaban, Simon Graham, David B. A. Epstein, Stella Pelengaris, Michael Khan, Nasir M. Rajpoot
2017	—	`conf`	MIMO-Net: A multi-input multi-output convolutional neural network for cell segmentation in fluorescence microscopy images. ISBI Shan-E-Ahmed Raza, Linda Cheung, David B. A. Epstein, Stella Pelengaris, Michael Khan, Nasir M. Rajpoot
2017	J	`jnl`	Multi-resolution cell orientation congruence descriptors for epithelium segmentation in endometrial histology images. Medical Image Anal. Guannan Li, Shan-E-Ahmed Raza, Nasir M. Rajpoot
2016	J	`jnl`	Robust normalization protocols for multiplexed fluorescence bioimage analysis. BioData Min. Shan-E-Ahmed Raza, Daniel Langenkämper, Korsuk Sirinukunwattana, David B. A. Epstein, Tim W. Nattkemper, Nasir M. Rajpoot
2016	—	`conf`	Stain deconvolution of histology images via independent component analysis in the wavelet domain. ISBI Najah Alsubaie, Shan-E-Ahmed Raza, Nasir M. Rajpoot
2015	—	`conf`	A Discriminative Framework for Stain Deconvolution of Histopathology Images in the Maxwellian Space. MIUA Najah Alsubaie, Nicholas Trahearn, Shan-E-Ahmed Raza, Nasir M. Rajpoot
2015	—	`conf`	Anisotropic tubular filtering for automatic detection of acid-fast bacilli in Ziehl-Neelsen stained sputum smear samples. Digital Pathology Shan-E-Ahmed Raza, M. Qaisar Marjan, Muhammad Arif, Farhana Butt, Faisal Sultan, Nasir M. Rajpoot
2015	—	`conf`	Cell Nuclei Segmentation in Variable Intensity Fluorescence Microscopy Images. MIUA Shan-E-Ahmed Raza, Nasir M. Rajpoot
2015	J	`jnl`	Registration of thermal and visible light images of diseased plants using silhouette extraction in the wavelet domain. Pattern Recognit. Shan-E-Ahmed Raza, Victor Sanchez, Gillian Prince, John P. Clarkson, Nasir M. Rajpoot
2014	J	`jnl`	Cell phenotyping in multi-tag fluorescent bioimages. Neurocomputing Adnan Mujahid Khan, Shan-E-Ahmed Raza, Michael Khan, Nasir M. Rajpoot
2014	—	`—`	Multi-variate image analysis for detection of biomedical anomalies. Shan-E-Ahmed Raza
2012	—	`conf`	A Novel Paradigm for Mining Cell Phenotypes in Multi-tag Bioimages Using a Locality Preserving Nonlinear Embedding. ICONIP (4) Adnan Mujahid Khan, Ahmad Humayun, Shan-E-Ahmed Raza, Michael Khan, Nasir M. Rajpoot