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Nasir M. Rajpoot
Nasir M. Rajpoot
Director, Tissue Image Analytics (TIA) Centre, University of Warwick
Bestätigte E-Mail-Adresse bei warwick.ac.uk - Startseite
Titel
Zitiert von
Zitiert von
Jahr
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
18872017
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
17552009
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
9562016
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
4582018
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
4572014
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
4312017
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
4232015
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
3102019
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
1892016
A Stochastic Polygons Model for Glandular Structures in Colon Histology Images
K Sirinukunwattana, D Snead, N Rajpoot
IEEE Transactions on Medical Imaging, 2015
1872015
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), 1-13, 2018
1732018
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
1702019
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
1632019
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
1462015
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
1402019
A gamma-gaussian mixture model for detection of mitotic cells in breast cancer histopathology images
AM Khan, H El-Daly, NM Rajpoot
Proceedings of the 21st International Conference on Pattern Recognition …, 2012
1312012
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, 53, 2019
1292019
Artificial intelligence in digital pathology: a roadmap to routine use in clinical practice
R Colling, H Pitman, K Oien, N Rajpoot, P Macklin, ...
The Journal of pathology 249 (2), 143-150, 2019
1212019
Texture based classification of hyperspectral colon biopsy samples using CLBP
K Masood, N Rajpoot
2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro …, 2009
115*2009
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
1142019
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