| 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 | 77 | 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 | 63 | 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 | 47 | 2014 |
| 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 | 34 | 2015 |
| 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), 1-9, 2019 | 21 | 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 (Suppl), 2013 | 21 | 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 | 19 | 2014 |
| 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 | 16 | 2017 |
| 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 | 14 | 2015 |
| Automated segmentation of DCIS in whole slide images N Seth, S Akbar, S Nofech-Mozes, S Salama, AL Martel European Congress on Digital Pathology, 67-74, 2019 | 9 | 2019 |
| 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 | 9 | 2019 |
| 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, 105810U, 2018 | 7 | 2018 |
| 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 | 6 | 2019 |
| 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, 25-30, 2012 | 6 | 2012 |
| Spin-context segmentation of breast tissue microarray images S Akbar, SJ McKenna, T Amaral, L Jordan, A Thompson Ann BMVA 2013, 1-11, 2013 | 5 | 2013 |
| Cluster-based learning from weakly labeled bags in digital pathology S Akbar, AL Martel arXiv preprint arXiv:1812.00884, 2018 | 4 | 2018 |
| 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, 2021 | 2 | 2021 |
| The influence of presentation upon examination marks S Akbar | 1 | 2010 |
| Automated imaging-based stratification of early-stage lung cancer patients prior to receiving surgical resection using deep learning applied to CTs. FS Torres, S Akbar, S Raman, K Yasufuku, F Baldauf-Lenschen, ... Journal of Clinical Oncology 39 (15_suppl), 1552-1552, 2021 | | 2021 |
Stephen McKennaProfessor, University of DundeeVerified email at computing.dundee.ac.uk
