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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
- 2023
[j57]Najah 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)- [j56]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) - [j55]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) - [j54]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) - [i71]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) - [i70]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) - [i69]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) - [i68]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) - [i67]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) - [i66]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) - [i65]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) - [i64]Srijay Deshpande, Fayyaz Minhas, Nasir M. Rajpoot:
Synthesis of Annotated Colorectal Cancer Tissue Images from Gland Layout. CoRR abs/2305.05006 (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) - [c93]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 - [c92]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 - [c91]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 - [c90]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 - [c89]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 - [c88]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 - [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 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) - [c87]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 - [c86]Jevgenij Gamper, Nasir M. Rajpoot:
Multiple Instance Captioning: Learning Representations From Histopathology Textbooks and Articles. CVPR 2021: 16549-16559 - [c85]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 - [c84]Robert Jewsbury, Abhir Bhalerao, Nasir M. Rajpoot:
A QuadTree Image Representation for Computational Pathology. ICCVW 2021: 648-656 - [c83]Muhammad Dawood, Kim Branson, Nasir M. Rajpoot, Fayyaz ul Amir Afsar Minhas:
ALBRT: Cellular Composition Prediction in Routine Histology Images. ICCVW 2021: 664-673 - [c82]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 - [c81]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 - [c80]Mostafa Jahanifar, Adam J. Shepard, 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 - [c79]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 - [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] - [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. Medical Imaging: 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]