| HoVer-Net: Simultaneous Segmentation and Classification of Nuclei in Multi-Tissue Histology Images S Graham, QD Vu, SEA Raza, A Azam, YW Tsang, JT Kwak, N Rajpoot arXiv preprint arXiv:1812.06499, 2018 | 1607 | 2018 |
| A multi-organ nucleus segmentation challenge N Kumar, R Verma, D Anand, Y Zhou, OF Onder, E Tsougenis, H Chen, ... IEEE transactions on medical imaging 39 (5), 1380-1391, 2019 | 618 | 2019 |
| MILD-Net: Minimal Information Loss Dilated Network for Gland Instance Segmentation in Colon Histology Images S Graham, H Chen, J Gamper, Q Dou, PA Heng, D Snead, YW Tsang, ... Medical Image Analysis 52, 199-211, 2018 | 412 | 2018 |
| Methods for segmentation and classification of digital microscopy tissue images QD Vu, S Graham, T Kurc, MNN To, M Shaban, T Qaiser, NA Koohbanani, ... Frontiers in bioengineering and biotechnology 7, 53, 2019 | 394 | 2019 |
| Predicting breast tumor proliferation from whole-slide images: the TUPAC16 challenge M Veta, YJ Heng, N Stathonikos, BE Bejnordi, F Beca, T Wollmann, ... Medical image analysis 54, 111-121, 2019 | 384 | 2019 |
| Pannuke dataset extension, insights and baselines J Gamper, NA Koohbanani, K Benes, S Graham, M Jahanifar, ... arXiv preprint arXiv:2003.10778, 2020 | 327 | 2020 |
| Micro-Net: A unified model for segmentation of various objects in microscopy images SEA Raza, L Cheung, M Shaban, S Graham, D Epstein, S Pelengaris, ... Medical image analysis 52, 160-173, 2019 | 312 | 2019 |
| Development and validation of a weakly supervised deep learning framework to predict the status of molecular pathways and key mutations in colorectal cancer from routine … M Bilal, SEA Raza, A Azam, S Graham, M Ilyas, IA Cree, D Snead, ... The Lancet Digital Health 3 (12), e763-e772, 2021 | 284 | 2021 |
| Cgc-net: Cell graph convolutional network for grading of colorectal cancer histology images Y Zhou, S Graham, N Alemi Koohbanani, M Shaban, PA Heng, N Rajpoot Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 270 | 2019 |
| MoNuSAC2020: A multi-organ nuclei segmentation and classification challenge R Verma, N Kumar, A Patil, NC Kurian, S Rane, S Graham, QD Vu, ... IEEE Transactions on Medical Imaging 40 (12), 3413-3423, 2021 | 249 | 2021 |
| Lizard: a large-scale dataset for colonic nuclear instance segmentation and classification S Graham, M Jahanifar, A Azam, M Nimir, YW Tsang, K Dodd, E Hero, ... Proceedings of the IEEE/CVF international conference on computer vision, 684-693, 2021 | 222 | 2021 |
| One model is all you need: multi-task learning enables simultaneous histology image segmentation and classification S Graham, QD Vu, M Jahanifar, SEA Raza, F Minhas, D Snead, N Rajpoot Medical Image Analysis 83, 102685, 2023 | 157 | 2023 |
| CoNIC Challenge: Pushing the frontiers of nuclear detection, segmentation, classification and counting S Graham, QD Vu, M Jahanifar, M Weigert, U Schmidt, W Zhang, J Zhang, ... Medical image analysis 92, 103047, 2024 | 151* | 2024 |
| Fast scannet: Fast and dense analysis of multi-gigapixel whole-slide images for cancer metastasis detection H Lin, H Chen, S Graham, Q Dou, N Rajpoot, PA Heng IEEE transactions on medical imaging 38 (8), 1948-1958, 2019 | 130 | 2019 |
| TIAToolbox as an end-to-end library for advanced tissue image analytics J Pocock, S Graham, QD Vu, M Jahanifar, S Deshpande, ... Communications medicine 2 (1), 120, 2022 | 126 | 2022 |
| Dense steerable filter cnns for exploiting rotational symmetry in histology images S Graham, D Epstein, N Rajpoot IEEE Transactions on Medical Imaging 39 (12), 4124-4136, 2020 | 113 | 2020 |
| DigestPath: A benchmark dataset with challenge review for the pathological detection and segmentation of digestive-system Q Da, X Huang, Z Li, Y Zuo, C Zhang, J Liu, W Chen, J Li, D Xu, Z Hu, H Yi, ... Medical image analysis 80, 102485, 2022 | 106 | 2022 |
| Capturing cellular topology in multi-gigapixel pathology images W Lu, S Graham, M Bilal, N Rajpoot, F Minhas Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 95 | 2020 |
| Classification of lung cancer histology images using patch-level summary statistics S Graham, M Shaban, T Qaiser, NA Koohbanani, SA Khurram, N Rajpoot Medical Imaging 2018: Digital Pathology 10581, 327-334, 2018 | 73 | 2018 |
| FABnet: feature attention-based network for simultaneous segmentation of microvessels and nerves in routine histology images of oral cancer MM Fraz, SA Khurram, S Graham, M Shaban, M Hassan, A Loya, ... Neural Computing and Applications 32 (14), 9915-9928, 2020 | 70 | 2020 |
Nasir M. RajpootTissue Image Analytics (TIA) Centre, University of WarwickVerified email at warwick.ac.uk
