| 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 | 97 | 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 | 86 | 2018 |
| 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 | 76 | 2018 |
| 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 | 51 | 2019 |
| 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 | 50 | 2019 |
| 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 | 44 | 2019 |
| 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 | 25 | 2019 |
| SAMS-NET: Stain-aware multi-scale network for instance-based nuclei segmentation in histology images S Graham, NM Rajpoot 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018 …, 2018 | 23 | 2018 |
| 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 | 22 | 2019 |
| 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, 1058119, 2018 | 16 | 2018 |
| Leveraging unlabeled whole-slide-images for mitosis detection SU Akram, T Qaiser, S Graham, J Kannala, J Heikkilä, N Rajpoot Computational Pathology and Ophthalmic Medical Image Analysis, 69-77, 2018 | 14 | 2018 |
| Pannuke dataset extension, insights and baselines J Gamper, NA Koohbanani, K Benes, S Graham, M Jahanifar, ... arXiv preprint arXiv:2003.10778, 2020 | 12 | 2020 |
| 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 | 9 | 2020 |
| 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, 1-14, 2019 | 8 | 2019 |
| Rota-net: Rotation equivariant network for simultaneous gland and lumen segmentation in colon histology images S Graham, D Epstein, N Rajpoot European Congress on Digital Pathology, 109-116, 2019 | 8 | 2019 |
| Uncertainty driven pooling network for microvessel segmentation in routine histology images MM Fraz, M Shaban, S Graham, SA Khurram, NM Rajpoot Computational pathology and ophthalmic medical image analysis, 156-164, 2018 | 4 | 2018 |
| 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 | 2 | 2020 |
| Novel deep learning algorithm predicts the status of molecular pathways and key mutations in colorectal cancer from routine histology images M Bilal, SEA Raza, A Azam, S Graham, M Ilyas, IA Cree, D Snead, ... medRxiv, 2021 | 1 | 2021 |
Nasir M. RajpootDirector, Tissue Image Analytics (TIA) Centre, University of WarwickVerified email at warwick.ac.uk
