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ORCIDNasir M. Rajpoot
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- affiliation: University of Warwick, Department of Computer Science
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2020 – today
- 2024
[j67]Manahil Raza
, Ruqayya Awan, Raja Muhammad Saad Bashir, Talha Qaiser, Nasir M. Rajpoot:
Dual attention model with reinforcement learning for classification of histology whole-slide images. Comput. Medical Imaging Graph. 118: 102466 (2024)- [j66]Srijay Deshpande, Muhammad Dawood, Fayyaz Minhas, Nasir M. Rajpoot:
SynCLay: Interactive synthesis of histology images from bespoke cellular layouts. Medical Image Anal. 91: 102995 (2024) - [j65]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) - [j64]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) - [j63]Neda Zamanitajeddin, Mostafa Jahanifar, Mohsin Bilal, Mark Eastwood, Nasir M. Rajpoot:
Social network analysis of cell networks improves deep learning for prediction of molecular pathways and key mutations in colorectal cancer. Medical Image Anal. 93: 103071 (2024) - [j62]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) - [j61]Sajid Javed, Arif Mahmood, Talha Qaiser, Naoufel Werghi, Nasir M. Rajpoot:
Unsupervised mutual transformer learning for multi-gigapixel Whole Slide Image classification. Medical Image Anal. 96: 103203 (2024) - [j60]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) - [c99]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. ISBI 2024: 1-5 - [c98]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. ISBI 2024: 1-5 - [i81]Kesi Xu, Lea Goetz, Nasir M. Rajpoot:
On generalisability of segment anything model for nuclear instance segmentation in histology images. CoRR abs/2401.14248 (2024) - [i80]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) - [i79]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) - [i78]Robert Jewsbury, Ruoyu Wang, Abhir Bhalerao, Nasir M. Rajpoot, Quoc Dang Vu:
StainFuser: Controlling Diffusion for Faster Neural Style Transfer in Multi-Gigapixel Histology Images. CoRR abs/2403.09302 (2024) - [i77]Neda Zamanitajeddin, Mostafa Jahanifar, Kesi Xu, Fouzia Siraj, Nasir M. Rajpoot:
Benchmarking Domain Generalization Algorithms in Computational Pathology. CoRR abs/2409.17063 (2024) - 2023
- [j59]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) - [j58]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) - [j57]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) - [j56]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) - [j55]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) - [j54]Mohsin Bilal, Robert Jewsbury, Ruoyu Wang, Hammam M. AlGhamdi, Amina Asif, Mark Eastwood, Nasir M. Rajpoot:
An aggregation of aggregation methods in computational pathology. Medical Image Anal. 88: 102885 (2023) - [c97]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, Z. Zhao, Klaus H. Maier-Hein, Paul F. Jäger, Annette Kopp-Schneider, Lena Maier-Hein:
Why is the Winner the Best? CVPR 2023: 19955-19966 - [c96]Imaad Zaffar, Guillaume Jaume, Nasir M. Rajpoot, Faisal Mahmood:
Embedding Space Augmentation for Weakly Supervised Learning in Whole-Slide Images. ISBI 2023: 1-4 - [c95]Kesi Xu, Mostafa Jahanifar, Simon Graham, Nasir M. Rajpoot:
Accurate segmentation of nuclear instances using a double-stage neural network. Digital and Computational Pathology 2023 - [d13]John Pocock, Simon Graham, Quoc Dang Vu, Mostafa Jahanifar, Srijay Deshpande, Giorgos Hadjigeorghiou, Adam Shephard, Raja Muhammad Saad Bashir, Mohsin Bilal, Wenqi Lu, David B. A. Epstein, Fayyaz Minhas, Nasir M. Rajpoot, Shan E Ahmed Raza:
TIAToolbox as an end-to-end library for advanced tissue image analytics. Version v1.3.2. Zenodo, 2023 [all versions]
- [d12]John Pocock, Simon Graham, Quoc Dang Vu, Mostafa Jahanifar, Srijay Deshpande, Giorgos Hadjigeorghiou, Adam Shephard, Raja Muhammad Saad Bashir, Mohsin Bilal, Wenqi Lu, David B. A. Epstein, Fayyaz Minhas, Nasir M. Rajpoot, Shan E Ahmed Raza:
TIAToolbox as an end-to-end library for advanced tissue image analytics. Version v1.3.3. Zenodo, 2023 [all versions] - [d11]John Pocock, Simon Graham, Quoc Dang Vu, Mostafa Jahanifar, Srijay Deshpande, Giorgos Hadjigeorghiou, Adam Shephard, Raja Muhammad Saad Bashir, Mohsin Bilal, Wenqi Lu, David B. A. Epstein, Fayyaz Minhas, Nasir M. Rajpoot, Shan E Ahmed Raza:
TIAToolbox as an end-to-end library for advanced tissue image analytics. Version v1.4.0. Zenodo, 2023 [all versions] - [d10]John Pocock, Simon Graham, Quoc Dang Vu, Mostafa Jahanifar, Srijay Deshpande, Giorgos Hadjigeorghiou, Adam Shephard, Raja Muhammad Saad Bashir, Mohsin Bilal, Wenqi Lu, David B. A. Epstein, Fayyaz Minhas, Nasir M. Rajpoot, Shan E Ahmed Raza:
TIAToolbox as an end-to-end library for advanced tissue image analytics. Version v1.4.1. Zenodo, 2023 [all versions] - [i76]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) - [i75]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) - [i74]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) - [i73]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:
Understanding metric-related pitfalls in image analysis validation. CoRR abs/2302.01790 (2023) - [i72]Manahil Raza, Ruqayya Awan, Raja Muhammad Saad Bashir, Talha Qaiser, Nasir M. Rajpoot:
Mimicking a Pathologist: Dual Attention Model for Scoring of Gigapixel Histology Images. CoRR abs/2302.09682 (2023) - [i71]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) - [i70]Sajid Javed, Arif Mahmood, Talha Qaiser, Naoufel Werghi, Nasir M. Rajpoot:
Unsupervised Mutual Transformer Learning for Multi-Gigapixel Whole Slide Image Classification. CoRR abs/2305.02032 (2023) - [i69]Srijay Deshpande, Fayyaz Minhas, Nasir M. Rajpoot:
Synthesis of Annotated Colorectal Cancer Tissue Images from Gland Layout. CoRR abs/2305.05006 (2023) - [i68]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) - [i67]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) - [i66]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) - [i65]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) - [i64]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
- [j53]Alex Foote, Amina Asif, Nasir M. Rajpoot, Fayyaz A. Minhas:
REET: robustness evaluation and enhancement toolbox for computational pathology. Bioinform. 38(12): 3312-3314 (2022) - [j52]Srijay Deshpande, Fayyaz A. Minhas, Simon Graham, Nasir M. Rajpoot:
SAFRON: Stitching Across the Frontier Network for Generating Colorectal Cancer Histology Images. Medical Image Anal. 77: 102337 (2022) - [j51]Taimur Hassan, Sajid Javed, Arif Mahmood, Talha Qaiser, Naoufel Werghi, Nasir M. Rajpoot:
Nucleus classification in histology images using message passing network. Medical Image Anal. 79: 102480 (2022) - [j50]Wenqi Lu, Michael Toss, Muhammad Dawood, Emad Rakha, Nasir M. Rajpoot, Fayyaz A. Minhas:
SlideGraph+: Whole slide image level graphs to predict HER2 status in breast cancer. Medical Image Anal. 80: 102486 (2022) - [j49]Komal Mariam, Osama Mohammed Afzal, Wajahat Hussain, Muhammad Umar Javed, Amber Kiyani, Nasir M. Rajpoot, Syed Ali Khurram, Hassan Aqeel Khan:
On Smart Gaze Based Annotation of Histopathology Images for Training of Deep Convolutional Neural Networks. IEEE J. Biomed. Health Informatics 26(7): 3025-3036 (2022) - [c94]Trinh Thi Le Vuong, Quoc Dang Vu, Mostafa Jahanifar, Simon Graham, Jin Tae Kwak, Nasir M. Rajpoot:
IMPaSh: A Novel Domain-Shift Resistant Representation for Colorectal Cancer Tissue Classification. ECCV Workshops (3) 2022: 543-555 - [c93]Made Satria Wibawa, Kwok-Wai Lo, Lawrence Young, Nasir M. Rajpoot:
Multi-scale Attention-Based Multiple Instance Learning for Classification of Multi-gigapixel Histology Images. ECCV Workshops (7) 2022: 635-647 - [c92]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 - [c91]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 - [c90]Neda Azarmehr, Adam J. Shephard, Hanya Mahmood, Nasir M. Rajpoot, Syed Ali Khurram:
A Neural Architecture Search Based Framework for Segmentation of Epithelium, Nuclei and Oral Epithelial Dysplasia Grading. MIUA 2022: 357-370 - [c89]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 - [d9]John Pocock, Simon Graham, Quoc Dang Vu, Mostafa Jahanifar, Srijay Deshpande, Giorgos Hadjigeorghiou, Adam Shephard, Raja Muhammad Saad Bashir, Mohsin Bilal, Wenqi Lu, David B. A. Epstein, Fayyaz Minhas, Nasir M. Rajpoot, Shan E Ahmed Raza:
TIAToolbox: An End-to-End Toolbox for Advanced Tissue Image Analytics. Version 1.0.1. Zenodo, 2022 [all versions] - [d8]John Pocock, Simon Graham, Quoc Dang Vu, Mostafa Jahanifar, Srijay Deshpande, Giorgos Hadjigeorghiou, Adam Shephard, Raja Muhammad Saad Bashir, Mohsin Bilal, Wenqi Lu, David B. A. Epstein, Fayyaz Minhas, Nasir M. Rajpoot, Shan E Ahmed Raza:
TIAToolbox: An End-to-End Toolbox for Advanced Tissue Image Analytics. Version 1.1.0. Zenodo, 2022 [all versions] - [d7]John Pocock, Simon Graham, Quoc Dang Vu, Mostafa Jahanifar, Srijay Deshpande, Giorgos Hadjigeorghiou, Adam Shephard, Raja Muhammad Saad Bashir, Mohsin Bilal, Wenqi Lu, David B. A. Epstein, Fayyaz Minhas, Nasir M. Rajpoot, Shan E Ahmed Raza:
TIAToolbox: An End-to-End Toolbox for Advanced Tissue Image Analytics. Version 1.2.0. Zenodo, 2022 [all versions] - [d6]John Pocock, Simon Graham, Quoc Dang Vu, Mostafa Jahanifar, Srijay Deshpande, Giorgos Hadjigeorghiou, Adam Shephard, Raja Muhammad Saad Bashir, Mohsin Bilal, Wenqi Lu, David B. A. Epstein, Fayyaz Minhas, Nasir M. Rajpoot, Shan E Ahmed Raza:
TIAToolbox: An End-to-End Toolbox for Advanced Tissue Image Analytics. Version 1.2.0. Zenodo, 2022 [all versions] - [d5]John Pocock, Simon Graham, Quoc Dang Vu, Mostafa Jahanifar, Srijay Deshpande, Giorgos Hadjigeorghiou, Adam Shephard, Raja Muhammad Saad Bashir, Mohsin Bilal, Wenqi Lu, David B. A. Epstein, Fayyaz Minhas, Nasir M. Rajpoot, Shan E Ahmed Raza:
TIAToolbox: An End-to-End Toolbox for Advanced Tissue Image Analytics. Version 1.2.0. Zenodo, 2022 [all versions] - [d4]John Pocock, Simon Graham, Quoc Dang Vu, Mostafa Jahanifar, Srijay Deshpande, Giorgos Hadjigeorghiou, Adam Shephard, Raja Muhammad Saad Bashir, Mohsin Bilal, Wenqi Lu, David B. A. Epstein, Fayyaz Minhas, Nasir M. Rajpoot, Shan E Ahmed Raza:
TIAToolbox: An End-to-End Toolbox for Advanced Tissue Image Analytics. Version 1.2.1. Zenodo, 2022 [all versions] - [d3]John Pocock, Simon Graham, Quoc Dang Vu, Mostafa Jahanifar, Srijay Deshpande, Giorgos Hadjigeorghiou, Adam Shephard, Raja Muhammad Saad Bashir, Mohsin Bilal, Wenqi Lu, David B. A. Epstein, Fayyaz Minhas, Nasir M. Rajpoot, Shan E Ahmed Raza:
TIAToolbox as an end-to-end library for advanced tissue image analytics. Version 1.3.0. Zenodo, 2022 [all versions] - [d2]John Pocock, Simon Graham, Quoc Dang Vu, Mostafa Jahanifar, Srijay Deshpande, Giorgos Hadjigeorghiou, Adam Shephard, Raja Muhammad Saad Bashir, Mohsin Bilal, Wenqi Lu, David B. A. Epstein, Fayyaz Minhas, Nasir M. Rajpoot, Shan E Ahmed Raza:
TIAToolbox as an end-to-end library for advanced tissue image analytics. Version 1.3.1. Zenodo, 2022 [all versions] - [i63]Alex Foote, Amina Asif, Nasir M. Rajpoot, Fayyaz A. Minhas:
REET: Robustness Evaluation and Enhancement Toolbox for Computational Pathology. CoRR abs/2201.12311 (2022) - [i62]Komal Mariam, Osama Mohammed Afzal, Wajahat Hussain, Muhammad Umar Javed, Amber Kiyani, Nasir M. Rajpoot, Syed Ali Khurram, Hassan Aqeel Khan:
On Smart Gaze based Annotation of Histopathology Images for Training of Deep Convolutional Neural Networks. CoRR abs/2202.02764 (2022) - [i61]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) - [i60]Ruqayya Awan, Shan-E-Ahmed Raza, Johannes Lotz, Nick Weiss, Nasir M. Rajpoot:
Deep Feature based Cross-slide Registration. CoRR abs/2202.09971 (2022) - [i59]Simon Graham, Quoc Dang Vu, Mostafa Jahanifar, Fayyaz A. Minhas, David R. J. Snead, Nasir M. Rajpoot:
One Model is All You Need: Multi-Task Learning Enables Simultaneous Histology Image Segmentation and Classification. CoRR abs/2203.00077 (2022) - [i58]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) - [i57]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:
Mitosis domain generalization in histopathology images - The MIDOG challenge. CoRR abs/2204.03742 (2022) - [i56]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:
Metrics reloaded: Pitfalls and recommendations for image analysis validation. CoRR abs/2206.01653 (2022) - [i55]Ruoyu Wang, Syed Ali Khurram, Amina Asif, Lawrence Young, Nasir M. Rajpoot:
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 abs/2206.08275 (2022) - [i54]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) - [i53]Trinh Thi Le Vuong, Quoc Dang Vu, Mostafa Jahanifar, Simon Graham, Jin Tae Kwak, Nasir M. Rajpoot:
IMPaSh: A Novel Domain-shift Resistant Representation for Colorectal Cancer Tissue Classification. CoRR abs/2208.11052 (2022) - [i52]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) - [i51]Made Satria Wibawa, Kwok-Wai Lo, Lawrence Young, Nasir M. Rajpoot:
Multi-Scale Attention-based Multiple Instance Learning for Classification of Multi-Gigapixel Histology Images. CoRR abs/2209.03041 (2022) - [i50]Imaad Zaffar, Guillaume Jaume, Nasir M. Rajpoot, Faisal Mahmood:
Embedding Space Augmentation for Weakly Supervised Learning in Whole-Slide Images. CoRR abs/2210.17013 (2022) - [i49]Mohsin Bilal, Robert Jewsbury, Ruoyu Wang, Hammam M. AlGhamdi, Amina Asif, Mark Eastwood, Nasir M. Rajpoot:
An Aggregation of Aggregation Methods in Computational Pathology. CoRR abs/2211.01256 (2022) - [i48]Srijay Deshpande, Muhammad Dawood, Fayyaz A. Minhas, Nasir M. Rajpoot:
SynCLay: Interactive Synthesis of Histology Images from Bespoke Cellular Layouts. CoRR abs/2212.13780 (2022) - 2021
- [j48]Najah M. Alsubaie, David R. J. Snead, Nasir M. Rajpoot:
Tumour Nuclear Morphometrics Predict Survival in Lung Adenocarcinoma. IEEE Access 9: 12322-12331 (2021) - [j47]Imran Khurram, M. M. Fraz, Muhammad Shahzad, Nasir M. Rajpoot:
Dense-CaptionNet: a Sentence Generation Architecture for Fine-grained Description of Image Semantics. Cogn. Comput. 13(3): 595-611 (2021) - [j46]Sajid Javed, Arif Mahmood, Jorge Dias, Naoufel Werghi, Nasir M. Rajpoot:
Spatially Constrained Context-Aware Hierarchical Deep Correlation Filters for Nucleus Detection in Histology Images. Medical Image Anal. 72: 102104 (2021) - [j45]Francesco Ciompi, Mitko Veta, Jeroen van der Laak, Nasir M. Rajpoot:
Editorial Computational Pathology. IEEE J. Biomed. Health Informatics 25(2): 303-306 (2021) - [j44]Navid Alemi Koohbanani, Balagopal Unnikrishnan, Syed Ali Khurram, Pavitra Krishnaswamy, Nasir M. Rajpoot:
Self-Path: Self-Supervision for Classification of Pathology Images With Limited Annotations. IEEE Trans. Medical Imaging 40(10): 2845-2856 (2021) - [j43]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) - [c88]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 - [c87]Jevgenij Gamper, Nasir M. Rajpoot:
Multiple Instance Captioning: Learning Representations From Histopathology Textbooks and Articles. CVPR 2021: 16549-16559 - [c86]Adam J. Shephard, Simon Graham, Raja Muhammad Saad Bashir, Mostafa Jahanifar, Hanya Mahmood, Syed Ali Khurram, Nasir M. Rajpoot:
Simultaneous Nuclear Instance and Layer Segmentation in Oral Epithelial Dysplasia. ICCVW 2021: 552-561 - [c85]Robert Jewsbury, Abhir Bhalerao, Nasir M. Rajpoot:
A QuadTree Image Representation for Computational Pathology. ICCVW 2021: 648-656 - [c84]Muhammad Dawood, Kim Branson, Nasir M. Rajpoot, Fayyaz ul Amir Afsar Minhas:
ALBRT: Cellular Composition Prediction in Routine Histology Images. ICCVW 2021: 664-673 - [c83]Mostafa Jahanifar, Neda Zamani Tajeddin, Navid Alemi Koohbanani, Nasir M. Rajpoot:
Robust Interactive Semantic Segmentation of Pathology Images with Minimal User Input. ICCVW 2021: 674-683 - [c82]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 - [c81]Mostafa Jahanifar, Adam J. Shephard, Neda Zamanitajeddin, Raja Muhammad Saad Bashir, Mohsin Bilal, Syed Ali Khurram, Fayyaz A. Minhas, Nasir M. Rajpoot:
Stain-Robust Mitotic Figure Detection for the Mitosis Domain Generalization Challenge. MIDOG/MOOD/Learn2Reg@MICCAI 2021: 48-52 - [c80]Neda Zamanitajeddin, Mostafa Jahanifar, Nasir M. Rajpoot:
Cells are Actors: Social Network Analysis with Classical ML for SOTA Histology Image Classification. MICCAI (8) 2021: 288-298 - [c79]Rawan Albusayli, J. Dinny Graham, Nirmala Pathmanathan, Muhammad Shaban, Fayyaz Minhas, Jane E. Armes, Nasir M. Rajpoot:
Simple non-iterative clustering and CNNs for coarse segmentation of breast cancer whole-slide images. Digital Pathology 2021 - [c78]Fayyaz A. Minhas, Michael S. Toss, Noor ul Wahab, Emad Rakha, Nasir M. Rajpoot:
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. PKDD/ECML Workshops (2) 2021: 390-400 - [c77]Muhammad Dawood, Kim Branson, Nasir M. Rajpoot, Fayyaz ul Amir Afsar Minhas:
All You Need is Color: Image Based Spatial Gene Expression Prediction Using Neural Stain Learning. PKDD/ECML Workshops (2) 2021: 437-450 - [e3]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:
MICCAI Workshop on Computational Pathology, COMPAY@MICCAI 2021, 27 September 2021, Virtual Event. Proceedings of Machine Learning Research 156, PMLR 2021 [contents] - [d1]John Pocock, Simon Graham, Quoc Dang Vu, Mostafa Jahanifar, Srijay Deshpande, Giorgos Hadjigeorghiou, Adam Shephard, Raja Muhammad Saad Bashir, Mohsin Bilal, Wenqi Lu, David B. A. Epstein, Fayyaz Minhas, Nasir M. Rajpoot, Shan E Ahmed Raza:
TIAToolbox: An End-to-End Toolbox for Advanced Tissue Image Analytics. Version 1.0.0. Zenodo, 2021 [all versions] - [i47]Sohail Iqbal, H. Fareed Ahmed, Talha Qaiser, Muhammad Imran Qureshi, Nasir M. Rajpoot:
Classification of COVID-19 via Homology of CT-SCAN. CoRR abs/2102.10593 (2021) - [i46]Jevgenij Gamper, Nasir M. Rajpoot:
Multiple Instance Captioning: Learning Representations from Histopathology Textbooks and Articles. CoRR abs/2103.05121 (2021) - [i45]Nima Hatami, Mohsin Bilal, Nasir M. Rajpoot:
Deep Multi-Resolution Dictionary Learning for Histopathology Image Analysis. CoRR abs/2104.00669 (2021) - [i44]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) - [i43]Alex Foote, Amina Asif, Ayesha Azam, Tim Marshall-Cox, Nasir M. Rajpoot, Fayyaz A. Minhas:
Now You See It, Now You Dont: Adversarial Vulnerabilities in Computational Pathology. CoRR abs/2106.08153 (2021) - [i42]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) - [i41]Neda Zamanitajeddin, Mostafa Jahanifar, Nasir M. Rajpoot:
Cells are Actors: Social Network Analysis with Classical ML for SOTA Histology Image Classification. CoRR abs/2106.15299 (2021) - [i40]Fayyaz A. Minhas, Michael S. Toss, Noor ul Wahab, Emad Rakha, Nasir M. Rajpoot:
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 abs/2108.10365 (2021) - [i39]Muhammad Dawood, Kim Branson, Nasir M. Rajpoot, Fayyaz ul Amir Afsar Minhas:
All You Need is Color: Image based Spatial Gene Expression Prediction using Neural Stain Learning. CoRR abs/2108.10446 (2021) - [i38]Robert Jewsbury, Abhir Bhalerao, Nasir M. Rajpoot:
A QuadTree Image Representation for Computational Pathology. CoRR abs/2108.10873 (2021) - [i37]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) - [i36]Mostafa Jahanifar, Neda Zamani Tajeddin, Navid Alemi Koohbanani, Nasir M. Rajpoot:
Robust Interactive Semantic Segmentation of Pathology Images with Minimal User Input. CoRR abs/2108.13368 (2021) - [i35]Adam J. Shephard, Simon Graham, Raja Muhammad Saad Bashir, Mostafa Jahanifar, Hanya Mahmood, Syed Ali Khurram, Nasir M. Rajpoot:
Simultaneous Nuclear Instance and Layer Segmentation in Oral Epithelial Dysplasia. CoRR abs/2108.13904 (2021) - [i34]Mostafa Jahanifar, Adam J. Shephard, Neda Zamani Tajeddin, Raja Muhammad Saad Bashir, Mohsin Bilal, Syed Ali Khurram, Fayyaz A. Minhas, Nasir M. Rajpoot:
Stain-Robust Mitotic Figure Detection for the Mitosis Domain Generalization Challenge. CoRR abs/2109.00853 (2021) - [i33]Wenqi Lu, Michael Toss, Emad Rakha, Nasir M. Rajpoot, Fayyaz A. Minhas:
SlideGraph+: Whole Slide Image Level Graphs to Predict HER2Status in Breast Cancer. CoRR abs/2110.06042 (2021) - [i32]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) - [i31]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) - [i30]Amina Asif, Kashif Rajpoot, David R. J. Snead, Fayyaz A. Minhas, Nasir M. Rajpoot:
Towards Launching AI Algorithms for Cellular Pathology into Clinical & Pharmaceutical Orbits. CoRR abs/2112.09496 (2021) - 2020
- [j42]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:
Cellular community detection for tissue phenotyping in colorectal cancer histology images. Medical Image Anal. 63: 101696 (2020) - [j41]Navid Alemi Koohbanani, Mostafa Jahanifar, Neda Zamani Tajadin, Nasir M. Rajpoot:
NuClick: A deep learning framework for interactive segmentation of microscopic images. Medical Image Anal. 65: 101771 (2020) - [j40]M. M. Fraz, Syed Ali Khurram, Simon Graham, Muhammad Shaban, Mariam Hassan, Asif Loya, Nasir M. Rajpoot:
FABnet: feature attention-based network for simultaneous segmentation of microvessels and nerves in routine histology images of oral cancer. Neural Comput. Appl. 32(14): 9915-9928 (2020) - [j39]Sajid Javed, Arif Mahmood, Naoufel Werghi, Ksenija Benes, Nasir M. Rajpoot:
Multiplex Cellular Communities in Multi-Gigapixel Colorectal Cancer Histology Images for Tissue Phenotyping. IEEE Trans. Image Process. 29: 9204-9219 (2020) - [j38]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:
A Multi-Organ Nucleus Segmentation Challenge. IEEE Trans. Medical Imaging 39(5): 1380-1391 (2020) - [j37]Muhammad Shaban, Ruqayya Awan, Muhammad Moazam Fraz, Ayesha Azam, Yee-Wah Tsang, David R. J. Snead, Nasir M. Rajpoot:
Context-Aware Convolutional Neural Network for Grading of Colorectal Cancer Histology Images. IEEE Trans. Medical Imaging 39(7): 2395-2405 (2020) - [j36]Simon Graham, David B. A. Epstein, Nasir M. Rajpoot:
Dense Steerable Filter CNNs for Exploiting Rotational Symmetry in Histology Images. IEEE Trans. Medical Imaging 39(12): 4124-4136 (2020) - [c76]Wenqi Lu, Simon Graham, Mohsin Bilal, Nasir M. Rajpoot, Fayyaz A. Minhas:
Capturing Cellular Topology in Multi-Gigapixel Pathology Images. CVPR Workshops 2020: 1049-1058 - [c75]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 - [c74]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 - [c73]Srijay Deshpande, Fayyaz A. Minhas, Nasir M. Rajpoot:
Train Small, Generate Big: Synthesis of Colorectal Cancer Histology Images. SASHIMI@MICCAI 2020: 164-173 - [c72]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. Digital Pathology 2020: 1132011 - [i29]Jevgenij Gamper, Brandon Chan, Yee-Wah Tsang, David R. J. Snead, Nasir M. Rajpoot:
Meta-SVDD: Probabilistic Meta-Learning for One-Class Classification in Cancer Histology Images. CoRR abs/2003.03109 (2020) - [i28]Jevgenij Gamper, Navid Alemi Koohbanani, Simon Graham, Mostafa Jahanifar, Syed Ali Khurram, Ayesha Azam, Katherine Hewitt, Nasir M. Rajpoot:
PanNuke Dataset Extension, Insights and Baselines. CoRR abs/2003.10778 (2020) - [i27]Simon Graham, David B. A. Epstein, Nasir M. Rajpoot:
Dense Steerable Filter CNNs for Exploiting Rotational Symmetry in Histology Images. CoRR abs/2004.03037 (2020) - [i26]Jevgenij Gamper, Navid Alemi Koohbanani, Nasir M. Rajpoot:
Multi-Task Learning in Histo-pathology for Widely Generalizable Model. CoRR abs/2005.08645 (2020) - [i25]Navid Alemi Koohbanani, Mostafa Jahanifar, Neda Zamani Tajadin, Nasir M. Rajpoot:
NuClick: A Deep Learning Framework for Interactive Segmentation of Microscopy Images. CoRR abs/2005.14511 (2020) - [i24]Srijay Deshpande, Fayyaz A. Minhas, Simon Graham, Nasir M. Rajpoot:
SAFRON: Stitching Across the Frontier for Generating Colorectal Cancer Histology Images. CoRR abs/2008.04526 (2020) - [i23]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) - [i22]Navid Alemi Koohbanani, Balagopal Unnikrishnan, Syed Ali Khurram, Pavitra Krishnaswamy, Nasir M. Rajpoot:
Self-Path: Self-supervision for Classification of Pathology Images with Limited Annotations. CoRR abs/2008.05571 (2020)
2010 – 2019
- 2019
- [j35]Muhammad Shaban, Arif Mahmood, Somaya Ali Al-Máadeed, Nasir M. Rajpoot:
An information fusion framework for person localization via body pose in spectator crowds. Inf. Fusion 51: 178-188 (2019) - [j34]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) - [j33]Simon Graham, Hao Chen, Jevgenij Gamper, Qi Dou, Pheng-Ann Heng, David R. J. Snead, Yee-Wah Tsang, Nasir M. Rajpoot:
MILD-Net: Minimal information loss dilated network for gland instance segmentation in colon histology images. Medical Image Anal. 52: 199-211 (2019) - [j32]Talha Qaiser, Yee-Wah Tsang, Daiki Taniyama, Naoya Sakamoto, Kazuaki Nakane, David B. A. Epstein, Nasir M. Rajpoot:
Fast and accurate tumor segmentation of histology images using persistent homology and deep convolutional features. Medical Image Anal. 55: 1-14 (2019) - [j31]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) - [j30]Tzu-Hsi Song, Victor Sanchez, Hesham EIDaly, Nasir M. Rajpoot:
Simultaneous Cell Detection and Classification in Bone Marrow Histology Images. IEEE J. Biomed. Health Informatics 23(4): 1469-1476 (2019) - [j29]Huangjing Lin, Hao Chen, Simon Graham, Qi Dou, Nasir M. Rajpoot, Pheng-Ann Heng:
Fast ScanNet: Fast and Dense Analysis of Multi-Gigapixel Whole-Slide Images for Cancer Metastasis Detection. IEEE Trans. Medical Imaging 38(8): 1948-1958 (2019) - [j28]Talha Qaiser, Nasir M. Rajpoot:
Learning Where to See: A Novel Attention Model for Automated Immunohistochemical Scoring. IEEE Trans. Medical Imaging 38(11): 2620-2631 (2019) - [c71]Jevgenij Gamper, Navid Alemi Koohbanani, Ksenija Benet, Ali Khuram, Nasir M. Rajpoot:
PanNuke: An Open Pan-Cancer Histology Dataset for Nuclei Instance Segmentation and Classification. ECDP 2019: 11-19 - [c70]Simon Graham, David B. A. Epstein, Nasir M. Rajpoot:
Rota-Net: Rotation Equivariant Network for Simultaneous Gland and Lumen Segmentation in Colon Histology Images. ECDP 2019: 109-116 - [c69]Talha Qaiser, Matthew Pugh, Sandra Margielewska, Robert Hollows, Paul Murray, Nasir M. Rajpoot:
Digital Tumor-Collagen Proximity Signature Predicts Survival in Diffuse Large B-Cell Lymphoma. ECDP 2019: 163-171 - [c68]Sajid Javed, Arif Mahmood, Naoufel Werghi, Nasir M. Rajpoot:
Deep Multiresolution Cellular Communities for Semantic Segmentation of Multi-Gigapixel Histology Images. ICCV Workshops 2019: 342-351 - [c67]Yanning Zhou, Simon Graham, Navid Alemi Koohbanani, Muhammad Shaban, Pheng-Ann Heng, Nasir M. Rajpoot:
CGC-Net: Cell Graph Convolutional Network for Grading of Colorectal Cancer Histology Images. ICCV Workshops 2019: 388-398 - [c66]Navid Alemi Koohbanani, Mostafa Jahanifar, Ali Gooya, Nasir M. Rajpoot:
Nuclear Instance Segmentation Using a Proposal-Free Spatially Aware Deep Learning Framework. MICCAI (1) 2019: 622-630 - [i21]Talha Qaiser, Nasir M. Rajpoot:
Learning Where to See: A Novel Attention Model for Automated Immunohistochemical Scoring. CoRR abs/1903.10762 (2019) - [i20]Muhammad Shaban, Ruqayya Awan, Muhammad Moazam Fraz, Ayesha Azam, David R. J. Snead, Nasir M. Rajpoot:
Context-Aware Convolutional Neural Network for Grading of Colorectal Cancer Histology Images. CoRR abs/1907.09478 (2019) - [i19]Yanning Zhou, Simon Graham, Navid Alemi Koohbanani, Muhammad Shaban, Pheng-Ann Heng, Nasir M. Rajpoot:
CGC-Net: Cell Graph Convolutional Network for Grading of Colorectal Cancer Histology Images. CoRR abs/1909.01068 (2019) - [i18]Mostafa Jahanifar, Navid Alemi Koohbanani, Nasir M. Rajpoot:
NuClick: From Clicks in the Nuclei to Nuclear Boundaries. CoRR abs/1909.03253 (2019) - 2018
- [j27]Asif Ahmad, Amina Asif, Nasir M. Rajpoot, Muhammad Arif, Fayyaz ul Amir Afsar Minhas:
Correlation Filters for Detection of Cellular Nuclei in Histopathology Images. J. Medical Syst. 42(1): 7:1-7:8 (2018) - [c65]Haroon Idrees, Muhmmad Tayyab, Kishan Athrey, Dong Zhang, Somaya Al-Máadeed, Nasir M. Rajpoot, Mubarak Shah:
Composition Loss for Counting, Density Map Estimation and Localization in Dense Crowds. ECCV (2) 2018: 544-559 - [c64]Ruqayya Awan, Navid Alemi Koohbanani, Muhammad Shaban, Anna Lisowska, Nasir M. Rajpoot:
Context-Aware Learning Using Transferable Features for Classification of Breast Cancer Histology Images. ICIAR 2018: 788-795 - [c63]Simon Graham, Nasir M. Rajpoot:
SAMS-NET: Stain-aware multi-scale network for instance-based nuclei segmentation in histology images. ISBI 2018: 590-594 - [c62]Saad Ullah Akram, Talha Qaiser, Simon Graham, Juho Kannala, Janne Heikkilä, Nasir M. Rajpoot:
Leveraging Unlabeled Whole-Slide-Images for Mitosis Detection. COMPAY/OMIA@MICCAI 2018: 69-77 - [c61]Sajid Javed, Muhammad Moazam Fraz, David B. A. Epstein, David R. J. Snead, Nasir M. Rajpoot:
Cellular Community Detection for Tissue Phenotyping in Histology Images. COMPAY/OMIA@MICCAI 2018: 120-129 - [c60]Navid Alemi Koohbanani, Talha Qaiser, Muhammad Shaban, Jevgenij Gamper, Nasir M. Rajpoot:
Significance of Hyperparameter Optimization for Metastasis Detection in Breast Histology Images. COMPAY/OMIA@MICCAI 2018: 139-147 - [c59]M. M. Fraz, Muhammad Shaban, Simon Graham, Syed Ali Khurram, Nasir M. Rajpoot:
Uncertainty Driven Pooling Network for Microvessel Segmentation in Routine Histology Images. COMPAY/OMIA@MICCAI 2018: 156-164 - [c58]Navid Alemi Koohbanani, Mostafa Jahanifar, Ali Gooya, Nasir M. Rajpoot:
Nuclei Detection Using Mixture Density Networks. MLMI@MICCAI 2018: 241-248 - [c57]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. Digital Pathology 2018: 105810E - [c56]Simon Graham, Muhammad Shaban, Talha Qaiser, Syed Ali Khurram, Nasir M. Rajpoot:
Classification of lung cancer histology images using patch-level summary statistics. Digital Pathology 2018: 1058119 - [c55]Najah M. Alsubaie, Muhammad Shaban, David R. J. Snead, Syed Ali Khurram, Nasir M. Rajpoot:
A Multi-resolution Deep Learning Framework for Lung Adenocarcinoma Growth Pattern Classification. MIUA 2018: 3-11 - [c54]Ruqayya Awan, Nasir M. Rajpoot:
Deep Autoencoder Features for Registration of Histology Images. MIUA 2018: 371-378 - [e2]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:
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. Lecture Notes in Computer Science 11039, Springer 2018, ISBN 978-3-030-00948-9 [contents] - [i17]Korsuk Sirinukunwattana, David R. J. Snead, David B. A. Epstein, Zia Aftab, Imaad Mujeeb, Yee-Wah Tsang, Ian A. Cree, Nasir M. Rajpoot:
Novel digital tissue phenotypic signatures of distant metastasis in colorectal cancer. CoRR abs/1801.07451 (2018) - [i16]Ruqayya Awan, Navid Alemi Koohbanani, Muhammad Shaban, Anna Lisowska, Nasir M. Rajpoot:
Context-Aware Learning using Transferable Features for Classification of Breast Cancer Histology Images. CoRR abs/1803.00386 (2018) - [i15]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) - [i14]Talha Qaiser, Yee-Wah Tsang, Daiki Taniyama, Naoya Sakamoto, Kazuaki Nakane, David B. A. Epstein, Nasir M. Rajpoot:
Fast and Accurate Tumor Segmentation of Histology Images using Persistent Homology and Deep Convolutional Features. CoRR abs/1805.03699 (2018) - [i13]Simon Graham, Hao Chen, Qi Dou, Pheng-Ann Heng, Nasir M. Rajpoot:
MILD-Net: Minimal Information Loss Dilated Network for Gland Instance Segmentation in Colon Histology Images. CoRR abs/1806.01963 (2018) - [i12]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:
Is the winner really the best? A critical analysis of common research practice in biomedical image analysis competitions. CoRR abs/1806.02051 (2018) - [i11]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:
Predicting breast tumor proliferation from whole-slide images: the TUPAC16 challenge. CoRR abs/1807.08284 (2018) - [i10]Saad Ullah Akram, Talha Qaiser, Simon Graham, Juho Kannala, Janne Heikkilä, Nasir M. Rajpoot:
Leveraging Unlabeled Whole-Slide-Images for Mitosis Detection. CoRR abs/1807.11677 (2018) - [i9]Haroon Idrees, Muhmmad Tayyab, Kishan Athrey, Dong Zhang, Somaya Al-Máadeed, Nasir M. Rajpoot, Mubarak Shah:
Composition Loss for Counting, Density Map Estimation and Localization in Dense Crowds. CoRR abs/1808.01050 (2018) - [i8]Navid Alemi Koohbanani, Mostafa Jahanifar, Ali Gooya, Nasir M. Rajpoot:
Nuclei Detection Using Mixture Density Networks. CoRR abs/1808.08279 (2018) - [i7]Navid Alemi Koohbanani, Mostafa Jahanifar, Neda Zamani Tajeddin, Ali Gooya, Nasir M. Rajpoot:
Leveraging Transfer Learning for Segmenting Lesions and their Attributes in Dermoscopy Images. CoRR abs/1809.10243 (2018) - [i6]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:
Methods for Segmentation and Classification of Digital Microscopy Tissue Images. CoRR abs/1810.13230 (2018) - [i5]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) - 2017
- [j26]Eman Rezk, Zainab Awan, Fahad Islam, Ali Jaoua, Somaya Al-Máadeed, Nan Zhang, Gautam Das, Nasir M. Rajpoot:
Conceptual data sampling for breast cancer histology image classification. Comput. Biol. Medicine 89: 59-67 (2017) - [j25]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:
Gland segmentation in colon histology images: The glas challenge contest. Medical Image Anal. 35: 489-502 (2017) - [j24]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) - [j23]Tzu-Hsi Song, Victor Sanchez, Hesham EIDaly, Nasir M. Rajpoot:
Dual-Channel Active Contour Model for Megakaryocytic Cell Segmentation in Bone Marrow Trephine Histology Images. IEEE Trans. Biomed. Eng. 64(12): 2913-2923 (2017) - [j22]Arif Mahmood, Michael Small, Somaya Ali Al-Máadeed, Nasir M. Rajpoot:
Using Geodesic Space Density Gradients for Network Community Detection. IEEE Trans. Knowl. Data Eng. 29(4): 921-935 (2017) - [c53]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 - [c52]Tzu-Hsi Song, Victor Sanchez, Hesham EIDaly, Nasir M. Rajpoot:
Hybrid deep autoencoder with Curvature Gaussian for detection of various types of cells in bone marrow trephine biopsy images. ISBI 2017: 1040-1043 - [c51]Talha Qaiser, Yee-Wah Tsang, David B. A. Epstein, Nasir M. Rajpoot:
Tumor Segmentation in Whole Slide Images Using Persistent Homology and Deep Convolutional Features. MIUA 2017: 320-329 - [c50]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 - [c49]Tzu-Hsi Song, Victor Sanchez, Hesham EIDaly, Nasir M. Rajpoot:
Simultaneous Cell Detection and Classification with an Asymmetric Deep Autoencoder in Bone Marrow Histology Images. MIUA 2017: 829-838 - [i4]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:
Her2 Challenge Contest: A Detailed Assessment of Automated Her2 Scoring Algorithms in Whole Slide Images of Breast Cancer Tissues. CoRR abs/1705.08369 (2017) - [i3]Abhinav Agarwalla, Muhammad Shaban, Nasir M. Rajpoot:
Representation-Aggregation Networks for Segmentation of Multi-Gigapixel Histology Images. CoRR abs/1707.08814 (2017) - 2016
- [j21]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) - [j20]Violeta N. Kovacheva, David R. J. Snead, Nasir M. Rajpoot:
A model of the spatial tumour heterogeneity in colorectal adenocarcinoma tissue. BMC Bioinform. 17: 255 (2016) - [j19]Violeta N. Kovacheva, Nasir M. Rajpoot:
Subcellular protein expression models for microsatellite instability in colorectal adenocarcinoma tissue images. BMC Bioinform. 17: 430 (2016) - [j18]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) - [c48]Ruqayya Awan, Nada A. Aloraidi, Uvais Qidwai, Nasir M. Rajpoot:
How divided is a cell? Eigenphase nuclei for classification of mitotic phase in cancer histology images. BHI 2016: 70-73 - [c47]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 - [c46]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 - [c45]Talha Qaiser, Korsuk Sirinukunwattana, Kazuaki Nakane, Yee-Wah Tsang, David B. A. Epstein, Nasir M. Rajpoot:
Persistent Homology for Fast Tumor Segmentation in Whole Slide Histology Images. MIUA 2016: 119-124 - [i2]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:
Gland Segmentation in Colon Histology Images: The GlaS Challenge Contest. CoRR abs/1603.00275 (2016) - 2015
- [j17]Korsuk Sirinukunwattana, Adnan Mujahid Khan, Nasir M. Rajpoot:
Cell words: Modelling the visual appearance of cells in histopathology images. Comput. Medical Imaging Graph. 42: 16-24 (2015) - [j16]Guannan Li, Victor Sanchez, Gnyaneshwari Patel, Siobhan Quenby, Nasir M. Rajpoot:
Localisation of luminal epithelium edge in digital histopathology images of IHC stained slides of endometrial biopsies. Comput. Medical Imaging Graph. 42: 56-64 (2015) - [j15]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:
Assessment of algorithms for mitosis detection in breast cancer histopathology images. Medical Image Anal. 20(1): 237-248 (2015) - [j14]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) - [j13]Adnan Mujahid Khan, Korsuk Sirinukunwattana, Nasir M. Rajpoot:
A Global Covariance Descriptor for Nuclear Atypia Scoring in Breast Histopathology Images. IEEE J. Biomed. Health Informatics 19(5): 1637-1647 (2015) - [j12]Korsuk Sirinukunwattana, David R. J. Snead, Nasir M. Rajpoot:
A Stochastic Polygons Model for Glandular Structures in Colon Histology Images. IEEE Trans. Medical Imaging 34(11): 2366-2378 (2015) - [c44]Violeta N. Kovacheva, David R. J. Snead, Nasir M. Rajpoot:
A model of the spatial microenvironment of the colonic crypt. ISBI 2015: 172-176 - [c43]Korsuk Sirinukunwattana, David R. J. Snead, Nasir M. Rajpoot:
A random polygons model of glandular structures in colon histology images. ISBI 2015: 1526-1529 - [c42]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 - [c41]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 - [c40]Korsuk Sirinukunwattana, David R. J. Snead, Nasir M. Rajpoot:
A novel texture descriptor for detection of glandular structures in colon histology images. Digital Pathology 2015: 94200S - [c39]Tzu-Hsi Song, Victor Sanchez, Hesham EIDaly, Nasir M. Rajpoot:
A circumscribing active contour model for delineation of nuclei and membranes of megakaryocytes in bone marrow trephine biopsy images. Digital Pathology 2015: 94200T - [c38]Nicholas Trahearn, David R. J. Snead, Ian A. Cree, Nasir M. Rajpoot:
Multi-class stain separation using independent component analysis. Digital Pathology 2015: 94200J - [c37]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. Digital Pathology 2015: 942005 - [c36]Shan-E-Ahmed Raza, Nasir M. Rajpoot:
Cell Nuclei Segmentation in Variable Intensity Fluorescence Microscopy Images. MIUA 2015: 28-33 - [c35]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 - 2014
- [j11]Violeta N. Kovacheva, Adnan Mujahid Khan, Michael Khan, David B. A. Epstein, Nasir M. Rajpoot:
DiSWOP: a novel measure for cell-level protein network analysis in localized proteomics image data. Bioinform. 30(3): 420-427 (2014) - [j10]Adnan Mujahid Khan, Shan-E-Ahmed Raza, Michael Khan, Nasir M. Rajpoot:
Cell phenotyping in multi-tag fluorescent bioimages. Neurocomputing 134: 254-261 (2014) - [j9]Adnan Mujahid Khan, Nasir M. Rajpoot, Darren Treanor, Derek R. Magee:
A Nonlinear Mapping Approach to Stain Normalization in Digital Histopathology Images Using Image-Specific Color Deconvolution. IEEE Trans. Biomed. Eng. 61(6): 1729-1738 (2014) - [c34]Nada A. Aloraidi, Korsuk Sirinukunwattana, Adnan Mujahid Khan, Nasir M. Rajpoot:
On generating cell exemplars for detection of mitotic cells in breast cancer histopathology images. EMBC 2014: 3370-3373 - [c33]Adnan Mujahid Khan, Korsuk Sirinukunwattana, Nasir M. Rajpoot:
Geodesic Geometric Mean of Regional Covariance Descriptors as an Image-Level Descriptor for Nuclear Atypia Grading in Breast Histology Images. MLMI 2014: 101-108 - [c32]Nicholas Trahearn, David B. A. Epstein, David R. J. Snead, Ian A. Cree, Nasir M. Rajpoot:
A fast method for approximate registration of whole-slide images of serial sections using local curvature. Digital Pathology 2014: 90410E - [c31]Violeta N. Kovacheva, Korsuk Sirinukunwattana, Nasir M. Rajpoot:
A Bayesian framework for cell-level protein network analysis for multivariate proteomics image data. Digital Pathology 2014: 904110 - [i1]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:
Assessment of algorithms for mitosis detection in breast cancer histopathology images. CoRR abs/1411.5825 (2014) - 2013
- [c30]Samuel D. R. Jefferyes, David B. A. Epstein, Anne Straube, Nasir M. Rajpoot:
A novel framework for exploratory analysis of highly variable morphology of migrating epithelial cells. EMBC 2013: 3463-3466 - 2012
- [j8]Shahid Khan, Thomas S. Reese, Nasir M. Rajpoot, Ayisha Shabbir:
Spatiotemporal maps of CaMKII in dendritic spines. J. Comput. Neurosci. 33(1): 123-139 (2012) - [j7]Stephen J. McKenna, Derek R. Magee, Nasir M. Rajpoot:
Special issue on microscopy image analysis for biomedical applications. Mach. Vis. Appl. 23(4): 603-605 (2012) - [j6]Nasir M. Rajpoot, Irfan T. Butt:
A multiresolution framework for local similarity based image denoising. Pattern Recognit. 45(8): 2938-2951 (2012) - [c29]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 - [c28]Guannan Li, Nasir M. Rajpoot:
Automated Segmentation and Tracking of Dynamic Focal Adhesions in Time-Lapse Fluorescence Microscopy. ICONIP (1) 2012: 648-655 - [c27]Adnan Mujahid Khan, Hesham El-Daly, Nasir M. Rajpoot:
A Gamma-Gaussian mixture model for detection of mitotic cells in breast cancer histopathology images. ICPR 2012: 149-152 - 2011
- [j5]Christian Loyek, Nasir M. Rajpoot, Michael Khan, Tim W. Nattkemper:
BioIMAX: A Web 2.0 approach for easy exploratory and collaborative access to multivariate bioimage data. BMC Bioinform. 12: 297 (2011) - [j4]Shahzad Ahmad Qureshi, Sikander M. Mirza, Nasir M. Rajpoot, Muhammad Arif:
Hybrid Diversification Operator-Based Evolutionary Approach Towards Tomographic Image Reconstruction. IEEE Trans. Image Process. 20(7): 1977-1990 (2011) - 2010
- [j3]Liang Wang, Guoying Zhao, Nasir M. Rajpoot, Mark S. Nixon:
Special Issue on New Advances in Video-Based Gait Analysis and Applications: Challenges and Solutions. IEEE Trans. Syst. Man Cybern. Part B 40(4): 982-985 (2010) - [c26]Metin N. Gurcan, Anant Madabhushi, Nasir M. Rajpoot:
Pattern Recognition in Histopathological Images: An ICPR 2010 Contest. ICPR Contests 2010: 226-234
2000 – 2009
- 2009
- [c25]Kashif Murtaza, Sohaib Khan, Nasir M. Rajpoot:
VillageFinder: Segmentation of Nucleated Villages in Satellite Imagery. BMVC 2009: 1-11 - [c24]Irfan T. Butt, Nasir M. Rajpoot:
Multilateral filtering: A novel framework for generic similarity-based image denoising. ICIP 2009: 2981-2984 - [c23]Khalid Masood, Nasir M. Rajpoot:
Texture Based Classification of Hyperspecrtal Colon Biopsy Samples Using CLBP. ISBI 2009: 1011-1014 - 2008
- [c22]Adam Bowen, Andrew Mullins, Roland Wilson, Nasir M. Rajpoot:
Estimation of Dense, Non-rigid Motion Fields from a Multi-camera Array Using a Hierarchical Mixture Model. AMDO 2008: 11-21 - [c21]Kashif Rajpoot, Nasir M. Rajpoot, J. Alison Noble:
Discrete Wavelet Diffusion for Image Denoising. ICISP 2008: 20-28 - [c20]Julia Herold, Manuela Friedenberger, Marcus Bode, Nasir M. Rajpoot, Walter Schubert, Tim W. Nattkemper:
Flexible synapse detection in fluorescence micrographs by modeling human expert grading. ISBI 2008: 1347-1350 - [c19]Hammad Qureshi, Olcay Sertel, Nasir M. Rajpoot, Roland Wilson, Metin N. Gurcan:
Adaptive Discriminant Wavelet Packet Transform and Local Binary Patterns for Meningioma Subtype Classification. MICCAI (2) 2008: 196-204 - 2007
- [c18]Adam Bowen, Andrew Mullins, Roland Wilson, Nasir M. Rajpoot:
Bayesian Surface Estimation from Multiple Cameras Using a Prior Based on the Visual Hull and its Application to Image Based Rendering. BMVC 2007: 1-8 - [c17]Nasir M. Rajpoot, Muhammad Arif, Abhir Bhalerao:
Unsupervised Learning of Shape Manifolds. BMVC 2007: 1-10 - [c16]Adam Bowen, Andrew Mullins, Roland Wilson, Nasir M. Rajpoot:
Surface Estimation and Tracking using Sequential MCMC Methods for Video Based Rendering. ICIP (2) 2007: 561-564 - [e1]Nasir M. Rajpoot, Abhir H. Bhalerao:
Proceedings of the British Machine Vision Conference 2007, University of Warwick, UK, September 10-13, 2007. British Machine Vision Association 2007, ISBN 1-901725-34-0 [contents] - 2006
- [c15]Arshad Hussain, Nasir M. Rajpoot, Kashif Rajpoot:
Texture Classification with Ants. ICIP 2006: 3013-3016 - 2005
- [c14]Andrew Mullins, Adam Bowen, Roland Wilson, Nasir M. Rajpoot:
Estimating Planar Patches for Light Field Reconstruction. BMVC 2005 - [c13]Zhen Yao, Nasir M. Rajpoot:
Image denoising using multiscale directional cosine bases. ICIP (3) 2005: 313-316 - [c12]Adam Bowen, Andrew Mullins, Roland G. Wilson, Nasir M. Rajpoot:
Light Field Reconstruction Using a Planar Patch Model. SCIA 2005: 85-94 - 2004
- [c11]Nasir M. Rajpoot:
Model Based Optimal Bit Allocation. Data Compression Conference 2004: 558 - [c10]Zhen Yao, Nasir M. Rajpoot:
Radon/ridgelet signature for image authentication. ICIP 2004: 43-46 - [c9]Nasir M. Rajpoot, Zhen Yao, Roland G. Wilson:
Adaptive wavelet restoration of noisy video sequences. ICIP 2004: 957-960 - [c8]Kashif Rajpoot, Nasir M. Rajpoot:
SVM Optimization for Hyperspectral Colon Tissue Cell Classification. MICCAI (2) 2004: 829 - 2003
- [j2]Nasir M. Rajpoot, Roland G. Wilson, François G. Meyer, Ronald R. Coifman:
Adaptive wavelet packet basis selection for zerotree image coding. IEEE Trans. Image Process. 12(12): 1460-1472 (2003) - [c7]Abhir H. Bhalerao, Nasir M. Rajpoot:
Discriminant Feature Selection for Texture Classification. BMVC 2003: 1-10 - [c6]A. Majid Awan, Nasir M. Rajpoot, S. Afaq Husain:
Stack-Run Adaptive Wavelet Image Coding. DCC 2003: 414 - 2002
- [c5]Zhen Yao, Nasir M. Rajpoot:
Less Redundant Codes for Variable Size Dictionaries. DCC 2002: 481 - 2001
- [b1]Nasir M. Rajpoot:
Adaptive wavelet image compression. University of Warwick, Coventry, UK, 2001 - [j1]Yossi Matias, Nasir M. Rajpoot, Süleyman Cenk Sahinalp:
The Effect of Flexible Parsing for Dynamic Dictionary-Based Data Compression. ACM J. Exp. Algorithmics 6: 10 (2001) - [c4]Nasir M. Rajpoot, François G. Meyer, Roland G. Wilson, Ronald R. Coifman:
A new basis selection paradigm for wavelet packet image coding. ICIP (3) 2001: 816-819
1990 – 1999
- 1999
- [c3]Yossi Matias, Nasir M. Rajpoot, Süleyman Cenk Sahinalp:
The Effect of Flexible Parsing for Dynamic Dictionary Based Data Compression. Data Compression Conference 1999: 238-246 - [c2]Nasir M. Rajpoot, François G. Meyer, Roland G. Wilson, Ronald R. Coifman:
On Zerotree Quantization for Embedded Wavelet Packet Image Coding. ICIP (2) 1999: 283-287 - 1998
- [c1]Yossi Matias, Nasir M. Rajpoot, Süleyman Cenk Sahinalp:
Implementation and Experimental Evaluation of Flexible Parsing for Dynamic Dictionary Based Data Compression. WAE 1998: 49-61
Coauthor Index
Abhir Bhalerao
aka: Abhir H. Bhalerao
aka: Abhir H. Bhalerao
[j64] [j62] [j60] [c98] [j56] [c95] [d13] [d12] [d11] [d10] [i76] [i75] [i71] [i65] [j52] [c94] [c91] [d9] [d8] [d7] [d6] [d5] [d4] [d3] [d2] [i59] [i54] [i53] [j43] [c86] [c82] [d1] [i42] [i37] [i35] [i31] [j40] [j38] [j36] [c76] [i28] [i27] [i24] [j34] [j33] [j31] [j29] [c70] [c67] [i19] [c63] [c62] [c59] [c56] [i15] [i13] [i11] [i10] [i6] [i5]
[j64] [j63] [j62] [c98] [i80] [i77] [j56] [c97] [c95] [d13] [d12] [d11] [d10] [i76] [i71] [i68] [i67] [i65] [c94] [c91] [d9] [d8] [d7] [d6] [d5] [d4] [d3] [d2] [i59] [i57] [i54] [i53] [i52] [c86] [c83] [c82] [c81] [c80] [d1] [i42] [i41] [i37] [i36] [i35] [i34] [i31] [j41] [j38] [i28] [i25] [c66] [i18] [c58] [i8] [i7]
Shan E Ahmed Raza
aka: Shan-E-Ahmed Raza
aka: Shan-E-Ahmed Raza
[j65] [j64] [j62] [j60] [c99] [c98] [i80] [i79] [j59] [j58] [j57] [j56] [j55] [d13] [d12] [d11] [d10] [i76] [i75] [i74] [i71] [i68] [i67] [i66] [i65] [i64] [c92] [c91] [c89] [d9] [d8] [d7] [d6] [d5] [d4] [d3] [d2] [i61] [i60] [i58] [i54] [i52] [j43] [c88] [c82] [d1] [i44] [i42] [i37] [i32] [i31] [c75] [c74] [c72] [i23] [j34] [j31] [c57] [i15] [i5] [j24] [c53] [c50] [j21] [j18] [c47] [c46] [j14] [c42] [c41] [c37] [c36] [c35] [j10] [c29]
Adam J. Shephard
aka: Adam Shephard
aka: Adam Shephard
Neda Zamani Tajeddin
aka: Neda Zamanitajeddin
aka: Neda Zamanitajeddin
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