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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
- 2021
[j44]Najah Alsubaie
, David R. J. Snead, Nasir M. Rajpoot:
Tumour Nuclear Morphometrics Predict Survival in Lung Adenocarcinoma. IEEE Access 9: 12322-12331 (2021)- [j43]Francesco Ciompi, Mitko Veta, Jeroen van der Laak, Nasir M. Rajpoot:
Editorial Computational Pathology. IEEE J. Biomed. Health Informatics 25(2): 303-306 (2021) - [i32]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) - [i31]Jevgenij Gamper, Nasir M. Rajpoot:
Multiple Instance Captioning: Learning Representations from Histopathology Textbooks and Articles. CoRR abs/2103.05121 (2021) - [i30]Nima Hatami, Mohsin Bilal, Nasir M. Rajpoot:
Deep Multi-Resolution Dictionary Learning for Histopathology Image Analysis. CoRR abs/2104.00669 (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, M. Hassan, A. 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]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 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 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, F. 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. Medical Imaging: 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. Medical Imaging: 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. Medical Imaging: 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. Medical Imaging: 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 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,