| An automated pattern recognition system for classifying indirect immunofluorescence images of HEp-2 cells and specimens S Manivannan, W Li, S Akbar, R Wang, J Zhang, SJ McKenna Pattern Recognition 51, 12-26, 2016 | 100 | 2016 |
| Gland segmentation in colon histology images using hand-crafted features and convolutional neural networks W Li, S Manivannan, S Akbar, J Zhang, E Trucco, SJ McKenna 2016 IEEE 13th international symposium on biomedical imaging (ISBI), 1405-1408, 2016 | 84 | 2016 |
| HEp-2 cell classification using multi-resolution local patterns and ensemble SVMs S Manivannan, W Li, S Akbar, R Wang, J Zhang, SJ McKenna 2014 1st Workshop on Pattern Recognition Techniques for Indirect …, 2014 | 56 | 2014 |
| Automated and manual quantification of tumour cellularity in digital slides for tumour burden assessment S Akbar, M Peikari, S Salama, AY Panah, S Nofech-Mozes, AL Martel Scientific reports 9 (1), 14099, 2019 | 51 | 2019 |
| Comparing computer-generated and pathologist-generated tumour segmentations for immunohistochemical scoring of breast tissue microarrays S Akbar, LB Jordan, CA Purdie, AM Thompson, SJ McKenna British Journal of Cancer 113 (7), 1075-1080, 2015 | 46 | 2015 |
| Transitioning between convolutional and fully connected layers in neural networks S Akbar, M Peikari, S Salama, S Nofech-Mozes, A Martel Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical …, 2017 | 31 | 2017 |
| Spie-aapm-nci breastpathq challenge: an image analysis challenge for quantitative tumor cellularity assessment in breast cancer histology images following neoadjuvant treatment N Petrick, S Akbar, KH Cha, S Nofech-Mozes, B Sahiner, MA Gavrielides, ... Journal of Medical Imaging 8 (3), 034501-034501, 2021 | 25 | 2021 |
| Assessment of residual breast cancer cellularity after neoadjuvant chemotherapy using digital pathology [data set] AL Martel, S Nofech-Mozes, S Salama, S Akbar, M Peikari The Cancer Imaging Archive, 2019 | 23 | 2019 |
| Immunohistochemical analysis of breast tissue microarray images using contextual classifiers SJ McKenna, T Amaral, S Akbar, L Jordan, A Thompson Journal of pathology informatics 4 (2), 13, 2013 | 23 | 2013 |
| Hep-2 specimen classification using multi-resolution local patterns and SVM S Manivannan, W Li, S Akbar, R Wang, J Zhang, SJ McKenna 2014 1st Workshop on Pattern Recognition Techniques for Indirect …, 2014 | 20 | 2014 |
| Automated segmentation of DCIS in whole slide images N Seth, S Akbar, S Nofech-Mozes, S Salama, AL Martel Digital Pathology: 15th European Congress, ECDP 2019, Warwick, UK, April 10 …, 2019 | 19 | 2019 |
| The transition module: a method for preventing overfitting in convolutional neural networks S Akbar, M Peikari, S Salama, S Nofech-Mozes, AL Martel Computer Methods in Biomechanics and Biomedical Engineering: Imaging …, 2019 | 16 | 2019 |
| Tumor localization in tissue microarrays using rotation invariant superpixel pyramids S Akbar, L Jordan, AM Thompson, SJ McKenna 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI), 1292-1295, 2015 | 16 | 2015 |
| Determining tumor cellularity in digital slides using resnet S Akbar, M Peikari, S Salama, S Nofech-Mozes, AL Martel Medical Imaging 2018: Digital Pathology 10581, 233-239, 2018 | 13 | 2018 |
| Spin-context segmentation of breast tissue microarray images S Akbar, SJ McKenna, T Amaral, L Jordan, A Thompson Ann BMVA 2013, 1-11, 2013 | 9 | 2013 |
| End-to-End Non–Small-Cell Lung Cancer Prognostication Using Deep Learning Applied to Pretreatment Computed Tomography FS Torres, S Akbar, S Raman, K Yasufuku, C Schmidt, A Hosny, ... JCO Clinical Cancer Informatics 5, 1141-1150, 2021 | 8 | 2021 |
| Cluster-based learning from weakly labeled bags in digital pathology S Akbar, AL Martel arXiv preprint arXiv:1812.00884, 2018 | 7 | 2018 |
| Local structure prediction for gland segmentation S Manivannan, W Li, S Akbar, J Zhang, E Trucco, SJ McKenna 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), 799-802, 2016 | 6 | 2016 |
| Tumour segmentation in breast tissue microarray images using spin-context S Akbar, T Amaral, SJ McKenna, A Thompson, L Jordan Proc. Medical Image Understanding and Analysis (MIUA), Swansea: British …, 2012 | 6 | 2012 |
| Automated imaging-based prognostication (IPRO) for stage I non-small cell lung cancer using deep learning applied to computed tomography. FS Torres, S Akbar, S Raman, K Yasufuku, TJ Hannessy, ... Journal of Clinical Oncology 40 (16_suppl), e20575-e20575, 2022 | 4 | 2022 |
Stephen McKennaProfessor, University of Dundee在 computing.dundee.ac.uk 的电子邮件经过验证
