| Diagnostic assessment of deep learning algorithms for detection of lymph node metastases in women with breast cancer BE Bejnordi, M Veta, PJ Van Diest, B Van Ginneken, N Karssemeijer, ... Jama 318 (22), 2199-2210, 2017 | 3387 | 2017 |
| Histopathological image analysis: A review MN Gurcan, LE Boucheron, A Can, A Madabhushi, NM Rajpoot, B Yener IEEE reviews in biomedical engineering 2, 147-171, 2009 | 2417 | 2009 |
| Locality sensitive deep learning for detection and classification of nuclei in routine colon cancer histology images K Sirinukunwattana, SEA Raza, YW Tsang, DRJ Snead, IA Cree, ... IEEE transactions on medical imaging 35 (5), 1196-1206, 2016 | 1394 | 2016 |
| 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 Medical Image Analysis 58, 101563, 2019 | 1190 | 2019 |
| Gland segmentation in colon histology images: The GlaS challenge contest K Sirinukunwattana, JPW Pluim, H Chen, X Qi, PA Heng, YB Guo, ... Medical Image Analysis 35, 489-502, 2017 | 903 | 2017 |
| Composition loss for counting, density map estimation and localization in dense crowds H Idrees, M Tayyab, K Athrey, D Zhang, S Al-Maadeed, N Rajpoot, ... Proceedings of the European Conference on Computer Vision (ECCV), 532-546, 2018 | 896 | 2018 |
| A Non-Linear Mapping Approach to Stain Normalisation in Digital Histopathology Images using Image-Specific Colour Deconvolution AM Khan, N Rajpoot, D Treanor, D Magee IEEE Transactions on Biomedical Engineering, xx-xx, 2014 | 616 | 2014 |
| Assessment of algorithms for mitosis detection in breast cancer histopathology images M Veta, PJ van Diest, SM Willems, H Wang, A Madabhushi, A Cruz-Roa, ... Medical image analysis 20 (1), 237-248, 2015 | 522 | 2015 |
| 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 | 491 | 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, 2019 | 356 | 2019 |
| Why rankings of biomedical image analysis competitions should be interpreted with care L Maier-Hein, M Eisenmann, A Reinke, S Onogur, M Stankovic, P Scholz, ... Nature communications 9 (1), 5217, 2018 | 345 | 2018 |
| 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 | 325 | 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, 433738, 2019 | 321 | 2019 |
| A Stochastic Polygons Model for Glandular Structures in Colon Histology Images K Sirinukunwattana, D Snead, N Rajpoot IEEE Transactions on Medical Imaging, 2015 | 283 | 2015 |
| 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 | 270 | 2019 |
| Validation of digital pathology imaging for primary histopathological diagnosis DRJ Snead, YW Tsang, A Meskiri, PK Kimani, R Crossman, NM Rajpoot, ... Histopathology 68 (7), 1063-1072, 2016 | 267 | 2016 |
| PanNuke: an open pan-cancer histology dataset for nuclei instance segmentation and classification J Gamper, N Alemi Koohbanani, K Benet, A Khuram, N Rajpoot Digital Pathology: 15th European Congress, ECDP 2019, Warwick, UK, April 10 …, 2019 | 257 | 2019 |
| Automatic detection of diseased tomato plants using thermal and stereo visible light images SA Raza, G Prince, JP Clarkson, NM Rajpoot Plos One 10 (4), 1-20, 2015 | 243 | 2015 |
| 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 | 237* | 2021 |
| Pannuke dataset extension, insights and baselines J Gamper, NA Koohbanani, K Benes, S Graham, M Jahanifar, ... arXiv preprint arXiv:2003.10778, 2020 | 234 | 2020 |
Shan E Ahmed RazaAssociate Professor, University of Warwick UK確認したメール アドレス: warwick.ac.uk
