Nasir M. Rajpoot

271 papers A* 2A 6B 9C 1Journal 167Unranked 83

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Accurate continual nuclei detection by deciphering unlabeled images and renewing class knowledge. Expert Syst. Appl. Yating Guo, Jinhao Chen, Zhao Chen, Qingguo Wang, Yuan Li, Nasir M. Rajpoot
2026	J	`jnl`	Potential Role of Agentic Artificial Intelligence in Toxicologic Pathology. CoRR Nasir M. Rajpoot, Richard Haworth, Xavier Palazzi, Alok Sharma, Manu Sebastian, Stephen Cahalan, Dinesh S. Bangari, Radhakrishna Sura, James Hartke, Marco Tecilla, Krishna Yekkala, Simon Graham, Quoc Dang Vu, David R. J. Snead, Mostafa Jahanifar, Adnan Mujahid Khan, Erio Barale-Thomas
2026	J	`jnl`	ShapeSpaceExplorer: Analysis of morphological transitions in migrating cells using similarity-based shape space mapping. PLoS Comput. Biol. Samuel D. R. Jefferyes, Roswitha Gostner, Laura Cooper, Mohammed M. Abdelsamea, Elly Straube, Nasir M. Rajpoot, David B. A. Epstein, Anne Straube
2025	J	`jnl`	A Deep Learning Framework for Thyroid Nodule Segmentation and Malignancy Classification from Ultrasound Images. CoRR Omar Abdelrazik, Mohamed Elsayed, Noorul Wahab, Nasir M. Rajpoot, Adam Shephard
2025	J	`jnl`	A Novel Approach to Linking Histology Images with DNA Methylation. CoRR Manahil Raza, Muhammad Dawood, Talha Qaiser, Nasir M. Rajpoot
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	J	`jnl`	CellOMaps: A Compact Representation for Robust Classification of Lung Adenocarcinoma Growth Patterns. CoRR Arwa Al-Rubaian, Gozde Nur Gunesli, Wajd A. Althakfi, Ayesha Azam, David R. J. Snead, Nasir M. Rajpoot, Shan E Ahmed Raza
2025	J	`jnl`	CellOMaps: A compact representation for robust classification of lung adenocarcinoma growth patterns. Comput. Biol. Medicine Arwa Al-Rubaian, Gozde Nur Gunesli, Wajd A. Althakfi, Ayesha Azam, David R. J. Snead, Nasir M. Rajpoot, Shan E Ahmed Raza
2025	J	`jnl`	Classification of COVID-19 via Homology of CT-SCAN. Comput. Biol. Medicine Sohail Iqbal, Hafiz Fareed Ahmed, Talha Qaiser, Muhammad Imran Qureshi, Nasir M. Rajpoot
2025	J	`jnl`	Domain Generalization in Computational Pathology: Survey and Guidelines. ACM Comput. Surv. 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
2025	J	`jnl`	Foundation Models in Computational Pathology: A Review of Challenges, Opportunities, and Impact. CoRR Mohsin Bilal, Aadam, Manahil Raza, Youssef N. Altherwy, Anas Alsuhaibani, Abdulrahman Alabduljabbar, Fahdah Almarshad, Paul Golding, Nasir M. Rajpoot
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`	MPath: Multimodal Pathology Report Generation from Whole Slide Images. CoRR Noorul Wahab, Nasir M. Rajpoot
2025	J	`jnl`	Multimodal Oncology Agent for IDH1 Mutation Prediction in Low-Grade Glioma. CoRR Hafsa Akebli, Adam Shephard, Vincenzo Della Mea, Nasir M. Rajpoot
2025	J	`jnl`	PS3: A Multimodal Transformer Integrating Pathology Reports with Histology Images and Biological Pathways for Cancer Survival Prediction. CoRR Manahil Raza, Ayesha Azam, Talha Qaiser, Nasir M. Rajpoot
2025	J	`jnl`	Synergy vs. Noise: Performance-Guided Multimodal Fusion For Biochemical Recurrence-Free Survival in Prostate Cancer. CoRR Seth Alain Chang, Muhammad Mueez Amjad, Noorul Wahab, Ethar Alzaid, Nasir M. Rajpoot, Adam Shephard
2025	J	`jnl`	Tissue Aware Nuclei Detection and Classification Model for Histopathology Images. CoRR Kesi Xu, Eleni Chiou, Ali Varamesh, Laura Acqualagna, Nasir M. Rajpoot
2024	—	`conf`	A Novel Approach to Linking Histology Images with DNA Methylation. ECCV Workshops (16) Manahil Raza, Muhammad Dawood, Talha Qaiser, Nasir M. Rajpoot
2024	J	`jnl`	An AI based Digital Score of Tumour-Immune Microenvironment Predicts Benefit to Maintenance Immunotherapy in Advanced Oesophagogastric Adenocarcinoma. CoRR 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
2024	—	`conf`	An Automated Pipeline for Tumour-Infiltrating Lymphocyte Scoring in Breast Cancer. ISBI Adam J. Shephard, Mostafa Jahanifar, Ruoyu Wang, Muhammad Dawood, Simon Graham, Kastytis Sidlauskas, Syed Ali Khurram, Nasir M. Rajpoot, Shan E Ahmed Raza
2024	J	`jnl`	Benchmarking Domain Generalization Algorithms in Computational Pathology. CoRR Neda Zamanitajeddin, Mostafa Jahanifar, Kesi Xu, Fouzia Siraj, Nasir M. Rajpoot
2024	—	`conf`	Cell Maps Representation for Lung Adenocarcinoma Growth Patterns Classification in Whole Slide Images. ISBI Arwa Al-Rubaian, Gozde Nur Gunesli, Wajd A. Althakfi, Ayesha Azam, Nasir M. Rajpoot, 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`	Consistency regularisation in varying contexts and feature perturbations for semi-supervised semantic segmentation of histology images. Medical Image Anal. Raja Muhammad Saad Bashir, Talha Qaiser, Shan E Ahmed Raza, Nasir M. Rajpoot
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
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
2024	J	`jnl`	Mitosis detection, fast and slow: Robust and efficient detection of mitotic figures. Medical Image Anal. Mostafa Jahanifar, Adam Shephard, Neda Zamanitajeddin, Simon Graham, Shan E Ahmed Raza, Fayyaz Minhas, Nasir M. Rajpoot
2024	J	`jnl`	On generalisability of segment anything model for nuclear instance segmentation in histology images. CoRR Kesi Xu, Lea Goetz, Nasir M. Rajpoot
2024	J	`jnl`	Ouroboros: cross-linking protein expression perturbations and cancer histology imaging with generative-predictive modeling. Bioinform. Srijay Deshpande, Sokratia Georgaka, Michael Haley, Robert Sellers, James Minshull, Jayakrupakar Nallala, Martin Fergie, Nicholas Stone, Nasir M. Rajpoot, Syed Murtuza Baker, Mudassar Iqbal, Kevin Couper, Federico Roncaroli, Fayyaz Minhas
2024	J	`jnl`	Social network analysis of cell networks improves deep learning for prediction of molecular pathways and key mutations in colorectal cancer. Medical Image Anal. Neda Zamanitajeddin, Mostafa Jahanifar, Mohsin Bilal, Mark Eastwood, Nasir M. Rajpoot
2024	J	`jnl`	Stain-Invariant Representation for Tissue Classification in Histology Images. CoRR Manahil Raza, Raja Muhammad Saad Bashir, Talha Qaiser, Nasir M. Rajpoot
2024	J	`jnl`	StainFuser: Controlling Diffusion for Faster Neural Style Transfer in Multi-Gigapixel Histology Images. CoRR Robert Jewsbury, Ruoyu Wang, Abhir Bhalerao, Nasir M. Rajpoot, Quoc Dang Vu
2024	J	`jnl`	SynCLay: Interactive synthesis of histology images from bespoke cellular layouts. Medical Image Anal. Srijay Deshpande, Muhammad Dawood, Fayyaz Minhas, Nasir M. Rajpoot
2024	J	`jnl`	TIAViz: A Browser-based Visualization Tool for Computational Pathology Models. CoRR 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
2024	J	`jnl`	Unsupervised mutual transformer learning for multi-gigapixel Whole Slide Image classification. Medical Image Anal. Sajid Javed, Arif Mahmood, Talha Qaiser, Naoufel Werghi, Nasir M. Rajpoot
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`	A Fully Automated and Explainable Algorithm for the Prediction of Malignant Transformation in Oral Epithelial Dysplasia. CoRR 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
2023	—	`conf`	Accurate segmentation of nuclear instances using a double-stage neural network. Digital and Computational Pathology Kesi Xu, Mostafa Jahanifar, Simon Graham, Nasir M. Rajpoot
2023	J	`jnl`	An Automated Pipeline for Tumour-Infiltrating Lymphocyte Scoring in Breast Cancer. CoRR Adam J. Shephard, Mostafa Jahanifar, Ruoyu Wang, Muhammad Dawood, Simon Graham, Kastytis Sidlauskas, Syed Ali Khurram, Nasir M. Rajpoot, Shan E Ahmed Raza
2023	J	`jnl`	An aggregation of aggregation methods in computational pathology. Medical Image Anal. Mohsin Bilal, Robert Jewsbury, Ruoyu Wang, Hammam M. AlGhamdi, Amina Asif, Mark Eastwood, Nasir M. Rajpoot
2023	J	`jnl`	Cell Maps Representation For Lung Adenocarcinoma Growth Patterns Classification In Whole Slide Images. CoRR Arwa Al-Rubaian, Gozde Nur Gunesli, Wajd A. Althakfi, Ayesha Azam, Nasir M. Rajpoot, Shan E Ahmed Raza
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`	Consistency Regularisation in Varying Contexts and Feature Perturbations for Semi-Supervised Semantic Segmentation of Histology Images. CoRR Raja Muhammad Saad Bashir, Talha Qaiser, Shan E Ahmed Raza, 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`	Domain Generalization in Computational Pathology: Survey and Guidelines. CoRR 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
2023	—	`conf`	Embedding Space Augmentation for Weakly Supervised Learning in Whole-Slide Images. ISBI Imaad Zaffar, Guillaume Jaume, Nasir M. Rajpoot, Faisal Mahmood
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`	LYSTO: The Lymphocyte Assessment Hackathon and Benchmark Dataset. CoRR 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
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
2023	J	`jnl`	Nuclear Segmentation and Classification: On Color & Compression Generalization. CoRR Quoc Dang Vu, Robert Jewsbury, Simon Graham, Mostafa Jahanifar, Shan E Ahmed Raza, Fayyaz Minhas, Abhir Bhalerao, 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
2023	J	`jnl`	Synthesis of Annotated Colorectal Cancer Tissue Images from Gland Layout. CoRR Srijay Deshpande, Fayyaz Minhas, Nasir M. Rajpoot
2023	J	`jnl`	Transformer-based Model for Oral Epithelial Dysplasia Segmentation. CoRR 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
2023	J	`jnl`	Understanding metric-related pitfalls in image analysis validation. CoRR Annika Reinke, Minu Tizabi, Michael Baumgartner, Matthias Eisenmann, Doreen Heckmann-Nötzel, A. Emre Kavur, Tim Rädsch, Carole H. Sudre, Laura Ación, Michela Antonelli, Tal Arbel, Spyridon Bakas, Arriel Benis, Matthew B. Blaschko, Florian Büttner, M. Jorge Cardoso, Veronika Cheplygina, Jianxu Chen, Evangelia Christodoulou, Beth A. Cimini, Gary S. Collins, Keyvan Farahani, Luciana Ferrer, Adrian Galdran, Bram van Ginneken, Ben Glocker, Patrick Godau, Robert Haase, Daniel A. Hashimoto, Michael M. Hoffman, Merel Huisman, Fabian Isensee, Pierre Jannin, Charles E. Kahn, Dagmar Kainmueller, Bernhard Kainz, Alexandros Karargyris, Alan Karthikesalingam, Hannes Kenngott, Jens Kleesiek, Florian Kofler, Thijs Kooi, Annette Kopp-Schneider, Michal Kozubek, Anna Kreshuk, Tahsin M. Kurç, Bennett A. Landman, Geert Litjens, Amin Madani, Klaus H. Maier-Hein, Anne L. Martel, Peter Mattson, Erik Meijering, Bjoern H. Menze, Karel G. M. Moons, Henning Müller, Brennan Nichyporuk, Felix Nickel, Jens Petersen, Susanne M. Rafelski, Nasir M. Rajpoot, Mauricio Reyes, Michael A. Riegler, Nicola Rieke, Julio Saez-Rodriguez, Clara I. Sánchez, Shravya Shetty, Maarten van Smeden, Ronald M. Summers, Abdel A. Taha, Aleksei Tiulpin, Sotirios A. Tsaftaris, Ben Van Calster, Gaël Varoquaux, Manuel Wiesenfarth, Ziv R. Yaniv, Paul F. Jäger, Lena Maier-Hein
2023	J	`jnl`	Unsupervised Mutual Transformer Learning for Multi-Gigapixel Whole Slide Image Classification. CoRR Sajid Javed, Arif Mahmood, Talha Qaiser, Naoufel Werghi, Nasir M. Rajpoot
2023	A*	`conf`	Why is the Winner the Best? CVPR Matthias Eisenmann, Annika Reinke, Vivienn Weru, Minu Dietlinde Tizabi, Fabian Isensee, Tim J. Adler, Sharib Ali, Vincent Andrearczyk, Marc Aubreville, Ujjwal Baid, Spyridon Bakas, Niranjan Balu, Sophia Bano, Jorge Bernal, Sebastian Bodenstedt, Alessandro Casella, Veronika Cheplygina, Marie Daum, Marleen de Bruijne, Adrien Depeursinge, Reuben Dorent, Jan Egger, David G. Ellis, Sandy Engelhardt, Melanie Ganz, Noha M. Ghatwary, Gabriel Girard, Patrick Godau, Anubha Gupta, Lasse Hansen, Kanako Harada, Mattias P. Heinrich, Nicholas Heller, Alessa Hering, Arnaud Huaulmé, Pierre Jannin, A. Emre Kavur, Oldrich Kodym, Michal Kozubek, Jianning Li, Hongwei Bran Li, Jun Ma, Carlos Martín-Isla, Bjoern H. Menze, J. Alison Noble, Valentin Oreiller, Nicolas Padoy, Sarthak Pati, Kelly Payette, Tim Rädsch, Jonathan Rafael-Patino, Vivek Singh Bawa, Stefanie Speidel, Carole H. Sudre, Kimberlin M. H. van Wijnen, Martin Wagner, D. Wei, Amine Yamlahi, Moi Hoon Yap, C. Yuan, Maximilian Zenk, A. Zia, David Zimmerer, Dogu Baran Aydogan, Binod Bhattarai, Louise Bloch, Raphael Brüngel, J. Cho, C. Choi, Q. Dou, Ivan Ezhov, Christoph M. Friedrich, C. Fuller, Rebati Raman Gaire, Adrian Galdran, Álvaro García-Faura, Maria Grammatikopoulou, S. Hong, Mostafa Jahanifar, I. Jang, Abdolrahim Kadkhodamohammadi, I. Kang, Florian Kofler, S. Kondo, Hugo Jaco Kuijf, M. Li, M. Luu, Tomaz Martincic, Pedro Morais, Mohamed A. Naser, Bruno Oliveira, David Owen, S. Pang, J. Park, S. Park, Szymon Plotka, Élodie Puybareau, Nasir M. Rajpoot, K. Ryu, Numan Saeed, Adam Shephard, Pengcheng Shi, Dejan Stepec, Ronast Subedi, Guillaume Tochon, Helena R. Torres, Hélène Urien, João L. Vilaça, Kareem A. Wahid, H. Wang, J. Wang, L. Wang, X. Wang, Benedikt Wiestler, Marek Wodzinski, F. Xia, J. Xie, Z. Xiong, Sen Yang, Y. Yang, Zixuan Zhao, Klaus H. Maier-Hein, Paul F. Jäger, Annette Kopp-Schneider, Lena Maier-Hein
2022	—	`conf`	A Neural Architecture Search Based Framework for Segmentation of Epithelium, Nuclei and Oral Epithelial Dysplasia Grading. MIUA Neda Azarmehr, Adam J. Shephard, Hanya Mahmood, Nasir M. Rajpoot, Syed Ali Khurram
2022	—	`conf`	A Novel Framework for Coarse-Grained Semantic Segmentation of Whole-Slide Images. MIUA Raja Muhammad Saad Bashir, Muhammad Shaban, Shan E Ahmed Raza, Syed Ali Khurram, Nasir M. Rajpoot
2022	J	`jnl`	An Aggregation of Aggregation Methods in Computational Pathology. CoRR Mohsin Bilal, Robert Jewsbury, Ruoyu Wang, Hammam M. AlGhamdi, Amina Asif, Mark Eastwood, 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	J	`jnl`	Embedding Space Augmentation for Weakly Supervised Learning in Whole-Slide Images. CoRR Imaad Zaffar, Guillaume Jaume, Nasir M. Rajpoot, Faisal Mahmood
2022	J	`jnl`	Handcrafted Histological Transformer (H2T): Unsupervised Representation of Whole Slide Images. CoRR Quoc Dang Vu, Kashif Rajpoot, Shan E Ahmed Raza, Nasir M. Rajpoot
2022	—	`conf`	IMPaSh: A Novel Domain-Shift Resistant Representation for Colorectal Cancer Tissue Classification. ECCV Workshops (3) Trinh Thi Le Vuong, Quoc Dang Vu, Mostafa Jahanifar, Simon Graham, Jin Tae Kwak, Nasir M. Rajpoot
2022	J	`jnl`	IMPaSh: A Novel Domain-shift Resistant Representation for Colorectal Cancer Tissue Classification. CoRR Trinh Thi Le Vuong, Quoc Dang Vu, Mostafa Jahanifar, Simon Graham, Jin Tae Kwak, Nasir M. Rajpoot
2022	J	`jnl`	Metrics reloaded: Pitfalls and recommendations for image analysis validation. CoRR Lena Maier-Hein, Annika Reinke, Evangelia Christodoulou, Ben Glocker, Patrick Godau, Fabian Isensee, Jens Kleesiek, Michal Kozubek, Mauricio Reyes, Michael A. Riegler, Manuel Wiesenfarth, Michael Baumgartner, Matthias Eisenmann, Doreen Heckmann-Nötzel, A. Emre Kavur, Tim Rädsch, Minu Dietlinde Tizabi, Laura Ación, Michela Antonelli, Tal Arbel, Spyridon Bakas, Peter Bankhead, Arriel Benis, M. Jorge Cardoso, Veronika Cheplygina, Beth A. Cimini, Gary S. Collins, Keyvan Farahani, Bram van Ginneken, Daniel A. Hashimoto, Michael M. Hoffman, Merel Huisman, Pierre Jannin, Charles E. Kahn, Alexandros Karargyris, Alan Karthikesalingam, Hannes Kenngott, Annette Kopp-Schneider, Anna Kreshuk, Tahsin M. Kurç, Bennett A. Landman, Geert Litjens, Amin Madani, Klaus H. Maier-Hein, Anne L. Martel, Peter Mattson, Erik Meijering, Bjoern H. Menze, David Moher, Karel G. M. Moons, Henning Müller, Felix Nickel, Brennan Nichyporuk, Jens Petersen, Nasir M. Rajpoot, Nicola Rieke, Julio Saez-Rodriguez, Clarisa Sánchez Gutiérrez, Shravya Shetty, Maarten van Smeden, Carole H. Sudre, Ronald M. Summers, Abdel A. Taha, Sotirios A. Tsaftaris, Ben Van Calster, Gaël Varoquaux, Paul F. Jäger
2022	J	`jnl`	Mitosis domain generalization in histopathology images - The MIDOG challenge. CoRR Marc Aubreville, Nikolas Stathonikos, Christof A. Bertram, Robert Klopfleisch, Natalie D. ter Hoeve, Francesco Ciompi, Frauke Wilm, Christian Marzahl, Taryn A. Donovan, Andreas K. Maier, Jack Breen, Nishant Ravikumar, Youjin Chung, Jinah Park, Ramin Nateghi, Fattaneh Pourakpour, Rutger H. J. Fick, Saima Ben Hadj, Mostafa Jahanifar, Nasir M. Rajpoot, Jakob Dexl, Thomas Wittenberg, Satoshi Kondo, Maxime W. Lafarge, Viktor H. Koelzer, Jingtang Liang, Yubo Wang, Xi Long, Jingxin Liu, Salar Razavi, April Khademi, Sen Yang, Xiyue Wang, Mitko Veta, Katharina Breininger
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	J	`jnl`	Multi-Scale Attention-based Multiple Instance Learning for Classification of Multi-Gigapixel Histology Images. CoRR Made Satria Wibawa, Kwok-Wai Lo, Lawrence Young, Nasir M. Rajpoot
2022	—	`conf`	Multi-scale Attention-Based Multiple Instance Learning for Classification of Multi-gigapixel Histology Images. ECCV Workshops (7) Made Satria Wibawa, Kwok-Wai Lo, Lawrence Young, 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
2022	J	`jnl`	Nucleus classification in histology images using message passing network. Medical Image Anal. Taimur Hassan, Sajid Javed, Arif Mahmood, Talha Qaiser, Naoufel Werghi, Nasir M. Rajpoot
2022	J	`jnl`	On Smart Gaze Based Annotation of Histopathology Images for Training of Deep Convolutional Neural Networks. IEEE J. Biomed. Health Informatics Komal Mariam, Osama Mohammed Afzal, Wajahat Hussain, Muhammad Umar Javed, Amber Kiyani, Nasir M. Rajpoot, Syed Ali Khurram, Hassan Aqeel Khan
2022	J	`jnl`	On Smart Gaze based Annotation of Histopathology Images for Training of Deep Convolutional Neural Networks. CoRR Komal Mariam, Osama Mohammed Afzal, Wajahat Hussain, Muhammad Umar Javed, Amber Kiyani, Nasir M. Rajpoot, Syed Ali Khurram, Hassan Aqeel Khan
2022	J	`jnl`	One Model is All You Need: Multi-Task Learning Enables Simultaneous Histology Image Segmentation and Classification. CoRR Simon Graham, Quoc Dang Vu, Mostafa Jahanifar, Fayyaz A. Minhas, David R. J. Snead, Nasir M. Rajpoot
2022	J	`jnl`	REET: Robustness Evaluation and Enhancement Toolbox for Computational Pathology. CoRR Alex Foote, Amina Asif, Nasir M. Rajpoot, Fayyaz A. Minhas
2022	J	`jnl`	REET: robustness evaluation and enhancement toolbox for computational pathology. Bioinform. Alex Foote, Amina Asif, Nasir M. Rajpoot, Fayyaz A. Minhas
2022	J	`jnl`	Rank the triplets: A ranking-based multiple instance learning framework for detecting HPV infection in head and neck cancers using routine H&E images. CoRR Ruoyu Wang, Syed Ali Khurram, Amina Asif, Lawrence Young, Nasir M. Rajpoot
2022	J	`jnl`	SAFRON: Stitching Across the Frontier Network for Generating Colorectal Cancer Histology Images. Medical Image Anal. Srijay Deshpande, Fayyaz A. Minhas, Simon Graham, Nasir M. Rajpoot
2022	J	`jnl`	SlideGraph+: Whole slide image level graphs to predict HER2 status in breast cancer. Medical Image Anal. Wenqi Lu, Michael Toss, Muhammad Dawood, Emad Rakha, Nasir M. Rajpoot, Fayyaz A. Minhas
2022	J	`jnl`	Stain-Robust Mitotic Figure Detection for MIDOG 2022 Challenge. CoRR Mostafa Jahanifar, Adam J. Shephard, Neda Zamanitajeddin, Shan E Ahmed Raza, Nasir M. Rajpoot
2022	J	`jnl`	SynCLay: Interactive Synthesis of Histology Images from Bespoke Cellular Layouts. CoRR Srijay Deshpande, Muhammad Dawood, Fayyaz A. Minhas, Nasir M. Rajpoot
2022	J	`jnl`	TIAger: Tumor-Infiltrating Lymphocyte Scoring in Breast Cancer for the TiGER Challenge. CoRR Adam J. Shephard, Mostafa Jahanifar, Ruoyu Wang, Muhammad Dawood, Simon Graham, Kastytis Sidlauskas, Syed Ali Khurram, Nasir M. Rajpoot, Shan E Ahmed Raza
2021	—	`conf`	A Novel Cell Map Representation for Weakly Supervised Prediction of ER & PR Status from H&E WSIs. COMPAY@MICCAI Hammam M. AlGhamdia, Navid Alemi Koohbanani, Nasir M. Rajpoot, Shan E Ahmed Raza
2021	—	`conf`	A QuadTree Image Representation for Computational Pathology. ICCVW Robert Jewsbury, Abhir Bhalerao, Nasir M. Rajpoot
2021	J	`jnl`	A QuadTree Image Representation for Computational Pathology. CoRR Robert Jewsbury, Abhir Bhalerao, Nasir M. Rajpoot
2021	J	`jnl`	A digital score of tumour-associated stroma infiltrating lymphocytes predicts survival in head and neck squamous cell carcinoma. CoRR 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
2021	—	`conf`	ALBRT: Cellular Composition Prediction in Routine Histology Images. ICCVW Muhammad Dawood, Kim Branson, Nasir M. Rajpoot, Fayyaz ul Amir Afsar Minhas
2021	—	`conf`	All You Need is Color: Image Based Spatial Gene Expression Prediction Using Neural Stain Learning. PKDD/ECML Workshops (2) Muhammad Dawood, Kim Branson, Nasir M. Rajpoot, Fayyaz ul Amir Afsar Minhas
2021	J	`jnl`	All You Need is Color: Image based Spatial Gene Expression Prediction using Neural Stain Learning. CoRR Muhammad Dawood, Kim Branson, Nasir M. Rajpoot, Fayyaz ul Amir Afsar Minhas
2021	—	`conf`	Cells are Actors: Social Network Analysis with Classical ML for SOTA Histology Image Classification. MICCAI (8) Neda Zamanitajeddin, Mostafa Jahanifar, Nasir M. Rajpoot
2021	J	`jnl`	Cells are Actors: Social Network Analysis with Classical ML for SOTA Histology Image Classification. CoRR Neda Zamanitajeddin, Mostafa Jahanifar, Nasir M. Rajpoot
2021	J	`jnl`	Classification of COVID-19 via Homology of CT-SCAN. CoRR Sohail Iqbal, Hafiz Fareed Ahmed, Talha Qaiser, Muhammad Imran Qureshi, Nasir M. Rajpoot
2021	J	`jnl`	CoNIC: Colon Nuclei Identification and Counting Challenge 2022. CoRR 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
2021	J	`jnl`	Deep Multi-Resolution Dictionary Learning for Histopathology Image Analysis. CoRR Nima Hatami, Mohsin Bilal, Nasir M. Rajpoot
2021	J	`jnl`	Dense-CaptionNet: a Sentence Generation Architecture for Fine-grained Description of Image Semantics. Cogn. Comput. Imran Khurram, M. M. Fraz, Muhammad Shahzad, Nasir M. Rajpoot
2021	J	`jnl`	Editorial Computational Pathology. IEEE J. Biomed. Health Informatics Francesco Ciompi, Mitko Veta, Jeroen van der Laak, Nasir M. Rajpoot
2021	J	`jnl`	FedDropoutAvg: Generalizable federated learning for histopathology image classification. CoRR Gozde Nur Gunesli, Mohsin Bilal, Shan E Ahmed Raza, Nasir M. Rajpoot
2021	—	`conf`	L PKDD/ECML Workshops (2) Fayyaz A. Minhas, Michael S. Toss, Noor ul Wahab, Emad Rakha, Nasir M. Rajpoot
2021	J	`jnl`	L1-regularized neural ranking for risk stratification and its application to prediction of time to distant metastasis in luminal node negative chemotherapy naïve breast cancer patients. CoRR Fayyaz A. Minhas, Michael S. Toss, Noor ul Wahab, Emad Rakha, 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	—	`ed.`	MICCAI Workshop on Computational Pathology, COMPAY@MICCAI 2021, 27 September 2021, Virtual Event COMPAY@MICCAI Manfredo Atzori, Nikolay Burlutskiy, Francesco Ciompi, Zhang Li, Fayyaz A. Minhas, Henning Müller, Tingying Peng, Nasir M. Rajpoot, Ben Torben-Nielsen, Jeroen van der Laak, Mitko Veta, Yinyin Yuan, Inti Zlobec
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
2021	A*	`conf`	Multiple Instance Captioning: Learning Representations From Histopathology Textbooks and Articles. CVPR Jevgenij Gamper, Nasir M. Rajpoot
2021	J	`jnl`	Multiple Instance Captioning: Learning Representations from Histopathology Textbooks and Articles. CoRR Jevgenij Gamper, Nasir M. Rajpoot
2021	J	`jnl`	Now You See It, Now You Dont: Adversarial Vulnerabilities in Computational Pathology. CoRR Alex Foote, Amina Asif, Ayesha Azam, Tim Marshall-Cox, Nasir M. Rajpoot, Fayyaz A. Minhas
2021	—	`conf`	Robust Interactive Semantic Segmentation of Pathology Images with Minimal User Input. ICCVW Mostafa Jahanifar, Neda Zamani Tajeddin, Navid Alemi Koohbanani, Nasir M. Rajpoot
2021	J	`jnl`	Robust Interactive Semantic Segmentation of Pathology Images with Minimal User Input. CoRR Mostafa Jahanifar, Neda Zamani Tajeddin, Navid Alemi Koohbanani, Nasir M. Rajpoot
2021	J	`jnl`	Self-Path: Self-Supervision for Classification of Pathology Images With Limited Annotations. IEEE Trans. Medical Imaging Navid Alemi Koohbanani, Balagopal Unnikrishnan, Syed Ali Khurram, Pavitra Krishnaswamy, Nasir M. Rajpoot
2021	J	`jnl`	Semantic annotation for computational pathology: Multidisciplinary experience and best practice recommendations. CoRR 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
2021	—	`conf`	Simple non-iterative clustering and CNNs for coarse segmentation of breast cancer whole-slide images. Digital Pathology Rawan Albusayli, J. Dinny Graham, Nirmala Pathmanathan, Muhammad Shaban, Fayyaz Minhas, Jane E. Armes, Nasir M. Rajpoot
2021	—	`conf`	Simultaneous Nuclear Instance and Layer Segmentation in Oral Epithelial Dysplasia. ICCVW Adam J. Shephard, Simon Graham, Raja Muhammad Saad Bashir, Mostafa Jahanifar, Hanya Mahmood, Syed Ali Khurram, Nasir M. Rajpoot
2021	J	`jnl`	Simultaneous Nuclear Instance and Layer Segmentation in Oral Epithelial Dysplasia. CoRR Adam J. Shephard, Simon Graham, Raja Muhammad Saad Bashir, Mostafa Jahanifar, Hanya Mahmood, Syed Ali Khurram, Nasir M. Rajpoot
2021	J	`jnl`	SlideGraph+: Whole Slide Image Level Graphs to Predict HER2Status in Breast Cancer. CoRR Wenqi Lu, Michael Toss, Emad Rakha, Nasir M. Rajpoot, Fayyaz A. Minhas
2021	J	`jnl`	Spatially Constrained Context-Aware Hierarchical Deep Correlation Filters for Nucleus Detection in Histology Images. Medical Image Anal. Sajid Javed, Arif Mahmood, Jorge Dias, Naoufel Werghi, Nasir M. Rajpoot
2021	—	`conf`	Stain-Robust Mitotic Figure Detection for the Mitosis Domain Generalization Challenge. MIDOG/MOOD/Learn2Reg@MICCAI Mostafa Jahanifar, Adam J. Shephard, Neda Zamanitajeddin, Raja Muhammad Saad Bashir, Mohsin Bilal, Syed Ali Khurram, Fayyaz A. Minhas, Nasir M. Rajpoot
2021	J	`jnl`	Stain-Robust Mitotic Figure Detection for the Mitosis Domain Generalization Challenge. CoRR Mostafa Jahanifar, Adam J. Shephard, Neda Zamani Tajeddin, Raja Muhammad Saad Bashir, Mohsin Bilal, Syed Ali Khurram, Fayyaz A. Minhas, Nasir M. Rajpoot
2021	J	`jnl`	Towards Launching AI Algorithms for Cellular Pathology into Clinical & Pharmaceutical Orbits. CoRR Amina Asif, Kashif Rajpoot, David R. J. Snead, Fayyaz A. Minhas, Nasir M. Rajpoot
2021	J	`jnl`	Tumour Nuclear Morphometrics Predict Survival in Lung Adenocarcinoma. IEEE Access Najah M. Alsubaie, David R. J. Snead, Nasir M. Rajpoot
2020	J	`jnl`	A Multi-Organ Nucleus Segmentation Challenge. IEEE Trans. Medical Imaging Neeraj Kumar, Ruchika Verma, Deepak Anand, Yanning Zhou, Omer Fahri Onder, Efstratios Tsougenis, Hao Chen, Pheng-Ann Heng, Jiahui Li, Zhiqiang Hu, Yunzhi Wang, Navid Alemi Koohbanani, Mostafa Jahanifar, Neda Zamani Tajeddin, Ali Gooya, Nasir M. Rajpoot, Xuhua Ren, Sihang Zhou, Qian Wang, Dinggang Shen, Cheng-Kun Yang, Chi-Hung Weng, Wei-Hsiang Yu, Chao-Yuan Yeh, Shuang Yang, Shuoyu Xu, Pak-Hei Yeung, Peng Sun, Amirreza Mahbod, Gerald Schaefer, Isabella Ellinger, Rupert Ecker, Örjan Smedby, Chunliang Wang, Benjamin Chidester, That-Vinh Ton, Minh-Triet Tran, Jian Ma, Minh N. Do, Simon Graham, Quoc Dang Vu, Jin Tae Kwak, Akshaykumar Gunda, Raviteja Chunduri, Corey Hu, Xiaoyang Zhou, Dariush Lotfi, Reza Safdari, Antanas Kascenas, Alison O'Neil, Dennis Eschweiler, Johannes Stegmaier, Yanping Cui, Baocai Yin, Kailin Chen, Xinmei Tian, Philipp Grüning, Erhardt Barth, Elad Arbel, Itay Remer, Amir Ben-Dor, Ekaterina Sirazitdinova, Matthias Kohl, Stefan Braunewell, Yuexiang Li, Xinpeng Xie, Linlin Shen, Jun Ma, Krishanu Das Baksi, Mohammad Azam Khan, Jaegul Choo, Adrián Colomer, Valery Naranjo, Linmin Pei, Khan M. Iftekharuddin, Kaushiki Roy, Debotosh Bhattacharjee, Aníbal Pedraza, Maria Gloria Bueno, Sabarinathan Devanathan, Saravanan Radhakrishnan, Praveen Koduganty, Zihan Wu, Guanyu Cai, Xiaojie Liu, Yuqin Wang, 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`	Capturing Cellular Topology in Multi-Gigapixel Pathology Images. CVPR Workshops Wenqi Lu, Simon Graham, Mohsin Bilal, Nasir M. Rajpoot, Fayyaz A. Minhas
2020	J	`jnl`	Cellular community detection for tissue phenotyping in colorectal cancer histology images. Medical Image Anal. Sajid Javed, Arif Mahmood, Muhammad Moazam Fraz, Navid Alemi Koohbanani, Ksenija Benes, Yee-Wah Tsang, Katherine Hewitt, David B. A. Epstein, David R. J. Snead, Nasir M. Rajpoot
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	—	`conf`	Cross-Domain Knowledge Transfer for Prediction of Chemosensitivity in Ovarian Cancer Patients. CVPR Workshops Asfand Yaar, Amina Asif, Shan E Ahmed Raza, Nasir M. Rajpoot, Fayyaz A. Minhas
2020	J	`jnl`	Dense Steerable Filter CNNs for Exploiting Rotational Symmetry in Histology Images. CoRR Simon Graham, David B. A. Epstein, Nasir M. Rajpoot
2020	J	`jnl`	Dense Steerable Filter CNNs for Exploiting Rotational Symmetry in Histology Images. IEEE Trans. Medical Imaging Simon Graham, David B. A. Epstein, Nasir M. Rajpoot
2020	J	`jnl`	FABnet: feature attention-based network for simultaneous segmentation of microvessels and nerves in routine histology images of oral cancer. Neural Comput. Appl. M. M. Fraz, Syed Ali Khurram, Simon Graham, Muhammad Shaban, Mariam Hassan, Asif Loya, 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
2020	J	`jnl`	HydraMix-Net: A Deep Multi-task Semi-supervised Learning Approach for Cell Detection and Classification. CoRR Raja Muhammad Saad Bashir, Talha Qaiser, Shan E Ahmed Raza, Nasir M. Rajpoot
2020	J	`jnl`	Meta-SVDD: Probabilistic Meta-Learning for One-Class Classification in Cancer Histology Images. CoRR Jevgenij Gamper, Brandon Chan, Yee-Wah Tsang, David R. J. Snead, Nasir M. Rajpoot
2020	J	`jnl`	Multi-Task Learning in Histo-pathology for Widely Generalizable Model. CoRR Jevgenij Gamper, Navid Alemi Koohbanani, Nasir M. Rajpoot
2020	J	`jnl`	Multiplex Cellular Communities in Multi-Gigapixel Colorectal Cancer Histology Images for Tissue Phenotyping. IEEE Trans. Image Process. Sajid Javed, Arif Mahmood, Naoufel Werghi, Ksenija Benes, Nasir M. Rajpoot
2020	J	`jnl`	NuClick: A Deep Learning Framework for Interactive Segmentation of Microscopy Images. CoRR Navid Alemi Koohbanani, Mostafa Jahanifar, Neda Zamani Tajadin, Nasir M. Rajpoot
2020	J	`jnl`	NuClick: A deep learning framework for interactive segmentation of microscopic images. Medical Image Anal. Navid Alemi Koohbanani, Mostafa Jahanifar, Neda Zamani Tajadin, Nasir M. Rajpoot
2020	J	`jnl`	PanNuke Dataset Extension, Insights and Baselines. CoRR Jevgenij Gamper, Navid Alemi Koohbanani, Simon Graham, Mostafa Jahanifar, Syed Ali Khurram, Ayesha Azam, Katherine Hewitt, Nasir M. Rajpoot
2020	J	`jnl`	SAFRON: Stitching Across the Frontier for Generating Colorectal Cancer Histology Images. CoRR Srijay Deshpande, Fayyaz A. Minhas, Simon Graham, Nasir M. Rajpoot
2020	J	`jnl`	Self-Path: Self-supervision for Classification of Pathology Images with Limited Annotations. CoRR Navid Alemi Koohbanani, Balagopal Unnikrishnan, Syed Ali Khurram, Pavitra Krishnaswamy, Nasir M. Rajpoot
2020	—	`conf`	Train Small, Generate Big: Synthesis of Colorectal Cancer Histology Images. SASHIMI@MICCAI Srijay Deshpande, Fayyaz A. Minhas, Nasir M. Rajpoot
2019	J	`jnl`	An information fusion framework for person localization via body pose in spectator crowds. Inf. Fusion Muhammad Shaban, Arif Mahmood, Somaya Ali Al-Máadeed, Nasir M. Rajpoot
2019	—	`conf`	CGC-Net: Cell Graph Convolutional Network for Grading of Colorectal Cancer Histology Images. ICCV Workshops Yanning Zhou, Simon Graham, Navid Alemi Koohbanani, Muhammad Shaban, Pheng-Ann Heng, Nasir M. Rajpoot
2019	J	`jnl`	CGC-Net: Cell Graph Convolutional Network for Grading of Colorectal Cancer Histology Images. CoRR Yanning Zhou, Simon Graham, Navid Alemi Koohbanani, Muhammad Shaban, Pheng-Ann Heng, Nasir M. Rajpoot
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
2019	—	`conf`	Deep Multiresolution Cellular Communities for Semantic Segmentation of Multi-Gigapixel Histology Images. ICCV Workshops Sajid Javed, Arif Mahmood, Naoufel Werghi, Nasir M. Rajpoot
2019	—	`conf`	Digital Tumor-Collagen Proximity Signature Predicts Survival in Diffuse Large B-Cell Lymphoma. ECDP Talha Qaiser, Matthew Pugh, Sandra Margielewska, Robert Hollows, Paul Murray, Nasir M. Rajpoot
2019	J	`jnl`	Fast ScanNet: Fast and Dense Analysis of Multi-Gigapixel Whole-Slide Images for Cancer Metastasis Detection. IEEE Trans. Medical Imaging Huangjing Lin, Hao Chen, Simon Graham, Qi Dou, Nasir M. Rajpoot, Pheng-Ann Heng
2019	J	`jnl`	Fast and accurate tumor segmentation of histology images using persistent homology and deep convolutional features. Medical Image Anal. Talha Qaiser, Yee-Wah Tsang, Daiki Taniyama, Naoya Sakamoto, Kazuaki Nakane, David B. A. Epstein, Nasir M. Rajpoot
2019	J	`jnl`	Hover-Net: Simultaneous segmentation and classification of nuclei in multi-tissue histology images. Medical Image Anal. Simon Graham, Quoc Dang Vu, Shan E Ahmed Raza, Ayesha Azam, Yee-Wah Tsang, Jin Tae Kwak, Nasir M. Rajpoot
2019	J	`jnl`	Learning Where to See: A Novel Attention Model for Automated Immunohistochemical Scoring. CoRR Talha Qaiser, Nasir M. Rajpoot
2019	J	`jnl`	Learning Where to See: A Novel Attention Model for Automated Immunohistochemical Scoring. IEEE Trans. Medical Imaging Talha Qaiser, Nasir M. Rajpoot
2019	J	`jnl`	MILD-Net: Minimal information loss dilated network for gland instance segmentation in colon histology images. Medical Image Anal. Simon Graham, Hao Chen, Jevgenij Gamper, Qi Dou, Pheng-Ann Heng, David R. J. Snead, Yee-Wah Tsang, Nasir M. Rajpoot
2019	J	`jnl`	Micro-Net: A unified model for segmentation of various objects in microscopy images. Medical Image Anal. Shan E Ahmed Raza, Linda Cheung, Muhammad Shaban, Simon Graham, David B. A. Epstein, Stella Pelengaris, Michael Khan, Nasir M. Rajpoot
2019	J	`jnl`	NuClick: From Clicks in the Nuclei to Nuclear Boundaries. CoRR Mostafa Jahanifar, Navid Alemi Koohbanani, Nasir M. Rajpoot
2019	—	`conf`	Nuclear Instance Segmentation Using a Proposal-Free Spatially Aware Deep Learning Framework. MICCAI (1) Navid Alemi Koohbanani, Mostafa Jahanifar, Ali Gooya, Nasir M. Rajpoot
2019	—	`conf`	PanNuke: An Open Pan-Cancer Histology Dataset for Nuclei Instance Segmentation and Classification. ECDP Jevgenij Gamper, Navid Alemi Koohbanani, Ksenija Benet, Ali Khuram, Nasir M. Rajpoot
2019	—	`conf`	Rota-Net: Rotation Equivariant Network for Simultaneous Gland and Lumen Segmentation in Colon Histology Images. ECDP Simon Graham, David B. A. Epstein, Nasir M. Rajpoot
2019	J	`jnl`	Simultaneous Cell Detection and Classification in Bone Marrow Histology Images. IEEE J. Biomed. Health Informatics Tzu-Hsi Song, Victor Sanchez, Hesham EIDaly, Nasir M. Rajpoot
2018	—	`conf`	A Multi-resolution Deep Learning Framework for Lung Adenocarcinoma Growth Pattern Classification. MIUA Najah Alsubaie, Muhammad Shaban, David R. J. Snead, Syed Ali Khurram, Nasir M. Rajpoot
2018	—	`conf`	A bottom-up approach for tumour differentiation in whole slide images of lung adenocarcinoma. Digital Pathology Najah Alsubaie, Korsuk Sirinukunwattana, Shan E Ahmed Raza, David R. J. Snead, Nasir M. Rajpoot
2018	—	`conf`	Cellular Community Detection for Tissue Phenotyping in Histology Images. COMPAY/OMIA@MICCAI Sajid Javed, Muhammad Moazam Fraz, David B. A. Epstein, David R. J. Snead, Nasir M. Rajpoot
2018	—	`conf`	Classification of lung cancer histology images using patch-level summary statistics. Digital Pathology Simon Graham, Muhammad Shaban, Talha Qaiser, Syed Ali Khurram, Nasir M. Rajpoot
2018	—	`conf`	Composition Loss for Counting, Density Map Estimation and Localization in Dense Crowds. ECCV (2) Haroon Idrees, Muhmmad Tayyab, Kishan Athrey, Dong Zhang, Somaya Al-Máadeed, Nasir M. Rajpoot, Mubarak Shah
2018	J	`jnl`	Composition Loss for Counting, Density Map Estimation and Localization in Dense Crowds. CoRR Haroon Idrees, Muhmmad Tayyab, Kishan Athrey, Dong Zhang, Somaya Al-Máadeed, Nasir M. Rajpoot, Mubarak Shah
2018	—	`ed.`	Computational Pathology and Ophthalmic Medical Image Analysis - First International Workshop, COMPAY 2018, and 5th International Workshop, OMIA 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16-20, 2018, Proceedings COMPAY/OMIA@MICCAI Danail Stoyanov, Zeike Taylor, Francesco Ciompi, Yanwu Xu, Anne L. Martel, Lena Maier-Hein, Nasir M. Rajpoot, Jeroen van der Laak, Mitko Veta, Stephen J. McKenna, David R. J. Snead, Emanuele Trucco, Mona Kathryn Garvin, Xinjian Chen, Hrvoje Bogunovic
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	J	`jnl`	Correlation Filters for Detection of Cellular Nuclei in Histopathology Images. J. Medical Syst. Asif Ahmad, Amina Asif, Nasir M. Rajpoot, Muhammad Arif, Fayyaz ul Amir Afsar Minhas
2018	—	`conf`	Deep Autoencoder Features for Registration of Histology Images. MIUA Ruqayya Awan, Nasir M. Rajpoot
2018	J	`jnl`	Fast and Accurate Tumor Segmentation of Histology Images using Persistent Homology and Deep Convolutional Features. CoRR Talha Qaiser, Yee-Wah Tsang, Daiki Taniyama, Naoya Sakamoto, Kazuaki Nakane, David B. A. Epstein, Nasir M. Rajpoot
2018	J	`jnl`	Is the winner really the best? A critical analysis of common research practice in biomedical image analysis competitions. CoRR Lena Maier-Hein, Matthias Eisenmann, Annika Reinke, Sinan Onogur, Marko Stankovic, Patrick Scholz, Tal Arbel, Hrvoje Bogunovic, Andrew P. Bradley, Aaron Carass, Carolin Feldmann, Alejandro F. Frangi, Peter M. Full, Bram van Ginneken, Allan Hanbury, Katrin Honauer, Michal Kozubek, Bennett A. Landman, Keno März, Oskar Maier, Klaus H. Maier-Hein, Bjoern H. Menze, Henning Müller, Peter F. Neher, Wiro J. Niessen, Nasir M. Rajpoot, Gregory C. Sharp, Korsuk Sirinukunwattana, Stefanie Speidel, Christian Stock, Danail Stoyanov, Abdel Aziz Taha, Fons van der Sommen, Ching-Wei Wang, Marc-André Weber, Guoyan Zheng, Pierre Jannin, Annette Kopp-Schneider
2018	J	`jnl`	Leveraging Transfer Learning for Segmenting Lesions and their Attributes in Dermoscopy Images. CoRR Navid Alemi Koohbanani, Mostafa Jahanifar, Neda Zamani Tajeddin, Ali Gooya, Nasir M. Rajpoot
2018	—	`conf`	Leveraging Unlabeled Whole-Slide-Images for Mitosis Detection. COMPAY/OMIA@MICCAI Saad Ullah Akram, Talha Qaiser, Simon Graham, Juho Kannala, Janne Heikkilä, Nasir M. Rajpoot
2018	J	`jnl`	Leveraging Unlabeled Whole-Slide-Images for Mitosis Detection. CoRR Saad Ullah Akram, Talha Qaiser, Simon Graham, Juho Kannala, Janne Heikkilä, Nasir M. Rajpoot
2018	J	`jnl`	MILD-Net: Minimal Information Loss Dilated Network for Gland Instance Segmentation in Colon Histology Images. CoRR Simon Graham, Hao Chen, Qi Dou, Pheng-Ann Heng, Nasir M. Rajpoot
2018	J	`jnl`	Methods for Segmentation and Classification of Digital Microscopy Tissue Images. CoRR Quoc Dang Vu, Simon Graham, Minh Nguyen Nhat To, Muhammad Shaban, Talha Qaiser, Navid Alemi Koohbanani, Syed Ali Khurram, Tahsin M. Kurç, Keyvan Farahani, Tianhao Zhao, Rajarsi R. Gupta, Jin Tae Kwak, Nasir M. Rajpoot, Joel H. Saltz
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
2018	J	`jnl`	Novel digital tissue phenotypic signatures of distant metastasis in colorectal cancer. CoRR Korsuk Sirinukunwattana, David R. J. Snead, David B. A. Epstein, Zia Aftab, Imaad Mujeeb, Yee-Wah Tsang, Ian A. Cree, Nasir M. Rajpoot
2018	—	`conf`	Nuclei Detection Using Mixture Density Networks. MLMI@MICCAI Navid Alemi Koohbanani, Mostafa Jahanifar, Ali Gooya, Nasir M. Rajpoot
2018	J	`jnl`	Nuclei Detection Using Mixture Density Networks. CoRR Navid Alemi Koohbanani, Mostafa Jahanifar, Ali Gooya, Nasir M. Rajpoot
2018	J	`jnl`	Predicting breast tumor proliferation from whole-slide images: the TUPAC16 challenge. CoRR Mitko Veta, Yujing J. Heng, Nikolas Stathonikos, Babak Ehteshami Bejnordi, Francisco Beca, Thomas Wollmann, Karl Rohr, Manan A. Shah, Dayong Wang, Mikaël Rousson, Martin Hedlund, David Tellez, Francesco Ciompi, Erwan Zerhouni, David Lanyi, Matheus Palhares Viana, Vassili Kovalev, Vitali Liauchuk, Hady Ahmady Phoulady, Talha Qaiser, Simon Graham, Nasir M. Rajpoot, Erik Sjöblom, Jesper Molin, Kyunghyun Paeng, Sangheum Hwang, Sunggyun Park, Zhipeng Jia, Eric I-Chao Chang, Yan Xu, Andrew H. Beck, Paul J. van Diest, Josien P. W. Pluim
2018	—	`conf`	SAMS-NET: Stain-aware multi-scale network for instance-based nuclei segmentation in histology images. ISBI Simon Graham, Nasir M. Rajpoot
2018	—	`conf`	Significance of Hyperparameter Optimization for Metastasis Detection in Breast Histology Images. COMPAY/OMIA@MICCAI Navid Alemi Koohbanani, Talha Qaiser, Muhammad Shaban, Jevgenij Gamper, Nasir M. Rajpoot
2018	—	`conf`	Uncertainty Driven Pooling Network for Microvessel Segmentation in Routine Histology Images. COMPAY/OMIA@MICCAI M. M. Fraz, Muhammad Shaban, Simon Graham, Syed Ali Khurram, Nasir M. Rajpoot
2018	J	`jnl`	XY Network for Nuclear Segmentation in Multi-Tissue Histology Images. CoRR Simon Graham, Quoc Dang Vu, Shan E Ahmed Raza, Jin Tae Kwak, Nasir M. Rajpoot
2017	J	`jnl`	Conceptual data sampling for breast cancer histology image classification. Comput. Biol. Medicine Eman Rezk, Zainab Awan, Fahad Islam, Ali Jaoua, Somaya Al-Máadeed, Nan Zhang, Gautam Das, Nasir M. Rajpoot
2017	J	`jnl`	Dual-Channel Active Contour Model for Megakaryocytic Cell Segmentation in Bone Marrow Trephine Histology Images. IEEE Trans. Biomed. Eng. Tzu-Hsi Song, Victor Sanchez, Hesham EIDaly, Nasir M. Rajpoot
2017	J	`jnl`	Gland segmentation in colon histology images: The glas challenge contest. Medical Image Anal. Korsuk Sirinukunwattana, Josien P. W. Pluim, Hao Chen, Xiaojuan Qi, Pheng-Ann Heng, Yun Bo Guo, Li Yang Wang, Bogdan J. Matuszewski, Elia Bruni, Urko Sanchez, Anton Böhm, Olaf Ronneberger, Bassem Ben Cheikh, Daniel Racoceanu, Philipp Kainz, Michael Pfeiffer, Martin Urschler, David R. J. Snead, Nasir M. Rajpoot
2017	J	`jnl`	Her2 Challenge Contest: A Detailed Assessment of Automated Her2 Scoring Algorithms in Whole Slide Images of Breast Cancer Tissues. CoRR Talha Qaiser, Abhik Mukherjee, Chaitanya Reddy Pb, Sai Dileep Munugoti, Vamsi Tallam, Tomi Pitkäaho, Taina Lehtimäki, Thomas J. Naughton, Matt Berseth, Aníbal Pedraza, Ramakrishnan Mukundan, Matthew Smith, Abhir Bhalerao, Erik Rodner, Marcel Simon, Joachim Denzler, Chao-Hui Huang, Gloria Bueno, David R. J. Snead, Ian O. Ellis, Mohammad Ilyas, Nasir M. Rajpoot
2017	—	`conf`	Hybrid deep autoencoder with Curvature Gaussian for detection of various types of cells in bone marrow trephine biopsy images. ISBI Tzu-Hsi Song, Victor Sanchez, Hesham EIDaly, 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	—	`conf`	MIMONet: Gland Segmentation Using Multi-Input-Multi-Output Convolutional Neural Network. MIUA 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
2017	J	`jnl`	Representation-Aggregation Networks for Segmentation of Multi-Gigapixel Histology Images. CoRR Abhinav Agarwalla, Muhammad Shaban, Nasir M. Rajpoot
2017	—	`conf`	Simultaneous Cell Detection and Classification with an Asymmetric Deep Autoencoder in Bone Marrow Histology Images. MIUA Tzu-Hsi Song, Victor Sanchez, Hesham EIDaly, Nasir M. Rajpoot
2017	—	`conf`	Tumor Segmentation in Whole Slide Images Using Persistent Homology and Deep Convolutional Features. MIUA Talha Qaiser, Yee-Wah Tsang, David B. A. Epstein, Nasir M. Rajpoot
2017	J	`jnl`	Using Geodesic Space Density Gradients for Network Community Detection. IEEE Trans. Knowl. Data Eng. Arif Mahmood, Michael Small, Somaya Ali Al-Máadeed, Nasir M. Rajpoot
2016	J	`jnl`	A model of the spatial tumour heterogeneity in colorectal adenocarcinoma tissue. BMC Bioinform. Violeta N. Kovacheva, David R. J. Snead, Nasir M. Rajpoot
2016	J	`jnl`	Gland Segmentation in Colon Histology Images: The GlaS Challenge Contest. CoRR Korsuk Sirinukunwattana, Josien P. W. Pluim, Hao Chen, Xiaojuan Qi, Pheng-Ann Heng, Yun Bo Guo, Li Yang Wang, Bogdan J. Matuszewski, Elia Bruni, Urko Sanchez, Anton Böhm, Olaf Ronneberger, Bassem Ben Cheikh, Daniel Racoceanu, Philipp Kainz, Michael Pfeiffer, Martin Urschler, David R. J. Snead, Nasir M. Rajpoot
2016	—	`conf`	Handcrafted features with convolutional neural networks for detection of tumor cells in histology images. ISBI Muhammad Nasim Kashif, Shan E Ahmed Raza, Korsuk Sirinukunwattana, Muhammad Arif, 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
2016	J	`jnl`	Locality Sensitive Deep Learning for Detection and Classification of Nuclei in Routine Colon Cancer Histology Images. IEEE Trans. Medical Imaging Korsuk Sirinukunwattana, Shan E Ahmed Raza, Yee-Wah Tsang, David R. J. Snead, Ian A. Cree, Nasir M. Rajpoot
2016	—	`conf`	Persistent Homology for Fast Tumor Segmentation in Whole Slide Histology Images. MIUA Talha Qaiser, Korsuk Sirinukunwattana, Kazuaki Nakane, Yee-Wah Tsang, David B. A. Epstein, 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
2016	J	`jnl`	Subcellular protein expression models for microsatellite instability in colorectal adenocarcinoma tissue images. BMC Bioinform. Violeta N. Kovacheva, 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	J	`jnl`	A Global Covariance Descriptor for Nuclear Atypia Scoring in Breast Histopathology Images. IEEE J. Biomed. Health Informatics Adnan Mujahid Khan, Korsuk Sirinukunwattana, Nasir M. Rajpoot
2015	—	`conf`	A Novel Cell Orientation Congruence Descriptor for Superpixel Based Epithelium Segmentation in Endometrial Histology Images. Patch-MI@MICCAI Guannan Li, Shan E Ahmed Raza, Nasir M. Rajpoot
2015	—	`conf`	A Spatially Constrained Deep Learning Framework for Detection of Epithelial Tumor Nuclei in Cancer Histology Images. Patch-MI@MICCAI Korsuk Sirinukunwattana, Shan E Ahmed Raza, Yee-Wah Tsang, David R. J. Snead, Ian A. Cree, Nasir M. Rajpoot
2015	J	`jnl`	A Stochastic Polygons Model for Glandular Structures in Colon Histology Images. IEEE Trans. Medical Imaging Korsuk Sirinukunwattana, David R. J. Snead, Nasir M. Rajpoot
2015	—	`conf`	A circumscribing active contour model for delineation of nuclei and membranes of megakaryocytes in bone marrow trephine biopsy images. Digital Pathology Tzu-Hsi Song, Victor Sanchez, Hesham EIDaly, Nasir M. Rajpoot
2015	—	`conf`	A model of the spatial microenvironment of the colonic crypt. ISBI Violeta N. Kovacheva, David R. J. Snead, Nasir M. Rajpoot
2015	—	`conf`	A novel texture descriptor for detection of glandular structures in colon histology images. Digital Pathology Korsuk Sirinukunwattana, David R. J. Snead, Nasir M. Rajpoot
2015	—	`conf`	A random polygons model of glandular structures in colon histology images. ISBI Korsuk Sirinukunwattana, David R. J. Snead, 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	J	`jnl`	Assessment of algorithms for mitosis detection in breast cancer histopathology images. Medical Image Anal. Mitko Veta, Paul J. van Diest, Stefan M. Willems, Haibo Wang, Anant Madabhushi, Angel Cruz-Roa, Fabio A. González, Anders Boesen Lindbo Larsen, Jacob S. Vestergaard, Anders B. Dahl, Dan C. Ciresan, Jürgen Schmidhuber, Alessandro Giusti, Luca Maria Gambardella, Faik Boray Tek, Thomas Walter, Ching-Wei Wang, Satoshi Kondo, Bogdan J. Matuszewski, Frédéric Precioso, Violet Snell, Josef Kittler, Teófilo Emídio de Campos, Adnan Mujahid Khan, Nasir M. Rajpoot, Evdokia Arkoumani, Miangela M. Lacle, Max A. Viergever, Josien P. W. Pluim
2015	—	`conf`	Cell Nuclei Segmentation in Variable Intensity Fluorescence Microscopy Images. MIUA Shan-E-Ahmed Raza, Nasir M. Rajpoot
2015	J	`jnl`	Cell words: Modelling the visual appearance of cells in histopathology images. Comput. Medical Imaging Graph. Korsuk Sirinukunwattana, Adnan Mujahid Khan, Nasir M. Rajpoot
2015	J	`jnl`	Localisation of luminal epithelium edge in digital histopathology images of IHC stained slides of endometrial biopsies. Comput. Medical Imaging Graph. Guannan Li, Victor Sanchez, Gnyaneshwari Patel, Siobhan Quenby, Nasir M. Rajpoot
2015	—	`conf`	Multi-class stain separation using independent component analysis. Digital Pathology Nicholas Trahearn, David R. J. Snead, Ian A. Cree, 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	—	`conf`	A Bayesian framework for cell-level protein network analysis for multivariate proteomics image data. Digital Pathology Violeta N. Kovacheva, Korsuk Sirinukunwattana, Nasir M. Rajpoot
2014	J	`jnl`	A Nonlinear Mapping Approach to Stain Normalization in Digital Histopathology Images Using Image-Specific Color Deconvolution. IEEE Trans. Biomed. Eng. Adnan Mujahid Khan, Nasir M. Rajpoot, Darren Treanor, Derek R. Magee
2014	—	`conf`	A fast method for approximate registration of whole-slide images of serial sections using local curvature. Digital Pathology Nicholas Trahearn, David B. A. Epstein, David R. J. Snead, Ian A. Cree, Nasir M. Rajpoot
2014	J	`jnl`	Assessment of algorithms for mitosis detection in breast cancer histopathology images. CoRR Mitko Veta, Paul J. van Diest, Stefan M. Willems, Haibo Wang, Anant Madabhushi, Angel Cruz-Roa, Fabio A. González, Anders Boesen Lindbo Larsen, Jacob S. Vestergaard, Anders B. Dahl, Dan C. Ciresan, Jürgen Schmidhuber, Alessandro Giusti, Luca Maria Gambardella, Faik Boray Tek, Thomas Walter, Ching-Wei Wang, Satoshi Kondo, Bogdan J. Matuszewski, Frédéric Precioso, Violet Snell, Josef Kittler, Teófilo Emídio de Campos, Adnan Mujahid Khan, Nasir M. Rajpoot, Evdokia Arkoumani, Miangela M. Lacle, Max A. Viergever, Josien P. W. Pluim
2014	J	`jnl`	Cell phenotyping in multi-tag fluorescent bioimages. Neurocomputing Adnan Mujahid Khan, Shan-E-Ahmed Raza, Michael Khan, Nasir M. Rajpoot
2014	J	`jnl`	DiSWOP: a novel measure for cell-level protein network analysis in localized proteomics image data. Bioinform. Violeta N. Kovacheva, Adnan Mujahid Khan, Michael Khan, David B. A. Epstein, Nasir M. Rajpoot
2014	—	`conf`	Geodesic Geometric Mean of Regional Covariance Descriptors as an Image-Level Descriptor for Nuclear Atypia Grading in Breast Histology Images. MLMI Adnan Mujahid Khan, Korsuk Sirinukunwattana, Nasir M. Rajpoot
2014	—	`conf`	On generating cell exemplars for detection of mitotic cells in breast cancer histopathology images. EMBC Nada A. Aloraidi, Korsuk Sirinukunwattana, Adnan Mujahid Khan, Nasir M. Rajpoot
2013	—	`conf`	A novel framework for exploratory analysis of highly variable morphology of migrating epithelial cells. EMBC Samuel D. R. Jefferyes, David B. A. Epstein, Anne Straube, Nasir M. Rajpoot
2012	B	`conf`	A Gamma-Gaussian mixture model for detection of mitotic cells in breast cancer histopathology images. ICPR Adnan Mujahid Khan, Hesham El-Daly, Nasir M. Rajpoot
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
2012	J	`jnl`	A multiresolution framework for local similarity based image denoising. Pattern Recognit. Nasir M. Rajpoot, Irfan T. Butt
2012	—	`conf`	Automated Segmentation and Tracking of Dynamic Focal Adhesions in Time-Lapse Fluorescence Microscopy. ICONIP (1) Guannan Li, Nasir M. Rajpoot
2012	J	`jnl`	Spatiotemporal maps of CaMKII in dendritic spines. J. Comput. Neurosci. Shahid Khan, Thomas S. Reese, Nasir M. Rajpoot, Ayisha Shabbir
2012	J	`jnl`	Special issue on microscopy image analysis for biomedical applications. Mach. Vis. Appl. Stephen J. McKenna, Derek R. Magee, Nasir M. Rajpoot
2011	J	`jnl`	BioIMAX: A Web 2.0 approach for easy exploratory and collaborative access to multivariate bioimage data. BMC Bioinform. Christian Loyek, Nasir M. Rajpoot, Michael Khan, Tim W. Nattkemper
2011	J	`jnl`	Hybrid Diversification Operator-Based Evolutionary Approach Towards Tomographic Image Reconstruction. IEEE Trans. Image Process. Shahzad Ahmad Qureshi, Sikander M. Mirza, Nasir M. Rajpoot, Muhammad Arif
2010	—	`conf`	Pattern Recognition in Histopathological Images: An ICPR 2010 Contest. ICPR Contests Metin N. Gurcan, Anant Madabhushi, Nasir M. Rajpoot
2010	J	`jnl`	Special Issue on New Advances in Video-Based Gait Analysis and Applications: Challenges and Solutions. IEEE Trans. Syst. Man Cybern. Part B Liang Wang, Guoying Zhao, Nasir M. Rajpoot, Mark S. Nixon
2009	B	`conf`	Multilateral filtering: A novel framework for generic similarity-based image denoising. ICIP Irfan T. Butt, Nasir M. Rajpoot
2009	—	`conf`	Texture Based Classification of Hyperspecrtal Colon Biopsy Samples Using CLBP. ISBI Khalid Masood, Nasir M. Rajpoot
2009	A	`conf`	VillageFinder: Segmentation of Nucleated Villages in Satellite Imagery. BMVC Kashif Murtaza, Sohaib Khan, Nasir M. Rajpoot
2008	—	`conf`	Adaptive Discriminant Wavelet Packet Transform and Local Binary Patterns for Meningioma Subtype Classification. MICCAI (2) Hammad Qureshi, Olcay Sertel, Nasir M. Rajpoot, Roland Wilson, Metin N. Gurcan
2008	C	`conf`	Discrete Wavelet Diffusion for Image Denoising. ICISP Kashif Rajpoot, Nasir M. Rajpoot, J. Alison Noble
2008	—	`conf`	Estimation of Dense, Non-rigid Motion Fields from a Multi-camera Array Using a Hierarchical Mixture Model. AMDO Adam Bowen, Andrew Mullins, Roland Wilson, Nasir M. Rajpoot
2008	—	`conf`	Flexible synapse detection in fluorescence micrographs by modeling human expert grading. ISBI Julia Herold, Manuela Friedenberger, Marcus Bode, Nasir M. Rajpoot, Walter Schubert, Tim W. Nattkemper
2007	A	`conf`	Bayesian Surface Estimation from Multiple Cameras Using a Prior Based on the Visual Hull and its Application to Image Based Rendering. BMVC Adam Bowen, Andrew Mullins, Roland Wilson, Nasir M. Rajpoot
2007	A	`ed.`	Proceedings of the British Machine Vision Conference 2007, University of Warwick, UK, September 10-13, 2007 BMVC Nasir M. Rajpoot, Abhir H. Bhalerao
2007	—	`conf`	Surface Estimation and Tracking using Sequential MCMC Methods for Video Based Rendering. ICIP (2) Adam Bowen, Andrew Mullins, Roland Wilson, Nasir M. Rajpoot
2007	A	`conf`	Unsupervised Learning of Shape Manifolds. BMVC Nasir M. Rajpoot, Muhammad Arif, Abhir Bhalerao
2006	B	`conf`	Texture Classification with Ants. ICIP Arshad Hussain, Nasir M. Rajpoot, Kashif Rajpoot
2005	A	`conf`	Estimating Planar Patches for Light Field Reconstruction. BMVC Andrew Mullins, Adam Bowen, Roland Wilson, Nasir M. Rajpoot
2005	—	`conf`	Image denoising using multiscale directional cosine bases. ICIP (3) Zhen Yao, Nasir M. Rajpoot
2005	—	`conf`	Light Field Reconstruction Using a Planar Patch Model. SCIA Adam Bowen, Andrew Mullins, Roland G. Wilson, Nasir M. Rajpoot
2004	B	`conf`	Adaptive wavelet restoration of noisy video sequences. ICIP Nasir M. Rajpoot, Zhen Yao, Roland G. Wilson
2004	B	`conf`	Model Based Optimal Bit Allocation. Data Compression Conference Nasir M. Rajpoot
2004	B	`conf`	Radon/ridgelet signature for image authentication. ICIP Zhen Yao, Nasir M. Rajpoot
2004	—	`conf`	SVM Optimization for Hyperspectral Colon Tissue Cell Classification. MICCAI (2) Kashif Rajpoot, Nasir M. Rajpoot
2003	J	`jnl`	Adaptive wavelet packet basis selection for zerotree image coding. IEEE Trans. Image Process. Nasir M. Rajpoot, Roland G. Wilson, François G. Meyer, Ronald R. Coifman
2003	A	`conf`	Discriminant Feature Selection for Texture Classification. BMVC Abhir H. Bhalerao, Nasir M. Rajpoot
2003	B	`conf`	Stack-Run Adaptive Wavelet Image Coding. DCC A. Majid Awan, Nasir M. Rajpoot, S. Afaq Husain
2002	B	`conf`	Less Redundant Codes for Variable Size Dictionaries. DCC Zhen Yao, Nasir M. Rajpoot
2001	—	`conf`	A new basis selection paradigm for wavelet packet image coding. ICIP (3) Nasir M. Rajpoot, François G. Meyer, Roland G. Wilson, Ronald R. Coifman
2001	—	`—`	Adaptive wavelet image compression. Nasir M. Rajpoot
2001	J	`jnl`	The Effect of Flexible Parsing for Dynamic Dictionary-Based Data Compression. ACM J. Exp. Algorithmics Yossi Matias, Nasir M. Rajpoot, Süleyman Cenk Sahinalp
1999	—	`conf`	On Zerotree Quantization for Embedded Wavelet Packet Image Coding. ICIP (2) Nasir M. Rajpoot, François G. Meyer, Roland G. Wilson, Ronald R. Coifman
1999	B	`conf`	The Effect of Flexible Parsing for Dynamic Dictionary Based Data Compression. Data Compression Conference Yossi Matias, Nasir M. Rajpoot, Süleyman Cenk Sahinalp
1998	—	`conf`	Implementation and Experimental Evaluation of Flexible Parsing for Dynamic Dictionary Based Data Compression. WAE Yossi Matias, Nasir M. Rajpoot, Süleyman Cenk Sahinalp