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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
- 2022
[j49]Srijay Deshpande
, Fayyaz Minhas, Simon Graham, Nasir M. Rajpoot:
SAFRON: Stitching Across the Frontier Network for Generating Colorectal Cancer Histology Images. Medical Image Anal. 77: 102337 (2022)- [i54]Alex Foote, Amina Asif, Nasir M. Rajpoot, Fayyaz A. Minhas:
REET: Robustness Evaluation and Enhancement Toolbox for Computational Pathology. CoRR abs/2201.12311 (2022) - [i53]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) - [i52]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) - [i51]Ruqayya Awan, Shan-e-Ahmed Raza, Johannes Lotz, Nick Weiss, Nasir M. Rajpoot:
Deep Feature based Cross-slide Registration. CoRR abs/2202.09971 (2022) - [i50]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) - [i49]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) - [i48]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) - 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) - [c86]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 - [c85]Jevgenij Gamper, Nasir M. Rajpoot:
Multiple Instance Captioning: Learning Representations From Histopathology Textbooks and Articles. CVPR 2021: 16549-16559 - [c84]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 - [c83]Robert Jewsbury, Abhir Bhalerao, Nasir M. Rajpoot:
A QuadTree Image Representation for Computational Pathology. ICCVW 2021: 648-656 - [c82]Muhammad Dawood, Kim Branson, Nasir M. Rajpoot, Fayyaz ul Amir Afsar Minhas:
ALBRT: Cellular Composition Prediction in Routine Histology Images. ICCVW 2021: 664-673 - [c81]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 - [c80]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 - [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 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]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 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. Medical Imaging: 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. Medical Imaging: Digital Pathology 2018: 1058119 - [c55]Najah 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, Xin Jan 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]