Shazia Akbar
Shazia Akbar
Sunnybrook Research Institute, University of Toronto, Vector Institute
Verified email at sunnybrook.ca - Homepage
Title
Cited by
Cited by
Year
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
772016
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
632016
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
472014
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
342015
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
212019
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
212013
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
192014
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
162017
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
142015
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
92019
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
92019
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
72018
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
62019
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
62016
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
62012
Spin-context segmentation of breast tissue microarray images
S Akbar, SJ McKenna, T Amaral, L Jordan, A Thompson
Ann BMVA 2013, 1-11, 2013
52013
Cluster-based learning from weakly labeled bags in digital pathology
S Akbar, AL Martel
arXiv preprint arXiv:1812.00884, 2018
42018
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
22021
The influence of presentation upon examination marks
S Akbar
12010
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
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