HEp-2 Cell Classification Using Multi-resolution Local Patterns and Ensemble SVMs. - Siyamalan Manivannan; Wenqi Li 001; Shazia Akbar; Ruixuan Wang; Jianguo Zhang 001; Stephen J. McKenna (I3A@ICPR, 2014)

HEp-2 Specimen Classification Using Multi-resolution Local Patterns and SVM. - Siyamalan Manivannan; Wenqi Li 001; Shazia Akbar; Ruixuan Wang; Jianguo Zhang 001; Stephen J. McKenna (I3A@ICPR, 2014)

Tumor localization in tissue microarrays using rotation invariant superpixel pyramids. - Shazia Akbar; Lee Jordan; Alastair M. Thompson; Stephen J. McKenna (ISBI, 2015)

Gland segmentation in colon histology images using hand-crafted features and convolutional neural networks. - Wenqi Li 001; Siyamalan Manivannan; Shazia Akbar; Jianguo Zhang 001; Emanuele Trucco; Stephen J. McKenna (ISBI, 2016)

Local structure prediction for gland segmentation. - Siyamalan Manivannan; Wenqi Li 001; Shazia Akbar; Jianguo Zhang 001; Emanuele Trucco; Stephen J. McKenna (ISBI, 2016)

An automated pattern recognition system for classifying indirect immunofluorescence images of HEp-2 cells and specimens. - Siyamalan Manivannan; Wenqi Li 001; Shazia Akbar; Ruixuan Wang; Jianguo Zhang 001; Stephen J. McKenna (Pattern Recognit., 2016)

Transitioning Between Convolutional and Fully Connected Layers in Neural Networks. - Shazia Akbar; Mohammad Peikari; Sherine Salama; Sharon Nofech-Mozes; Anne L. Martel (DLMIA/ML-CDS@MICCAI, 2017)

Determining tumor cellularity in digital slides using ResNet. - Shazia Akbar; Mohammad Peikari; Sherine Salama; Sharon Nofech-Mozes; Anne L. Martel (Digital Pathology, 2018)

Cluster-Based Learning from Weakly Labeled Bags in Digital Pathology. - Shazia Akbar; Anne L. Martel (CoRR, 2018)

Automated Segmentation of DCIS in Whole Slide Images. - Nikhil Seth; Shazia Akbar; Sharon Nofech-Mozes; Sherine Salama; Anne L. Martel (ECDP, 2019)

The transition module: a method for preventing overfitting in convolutional neural networks. - Shazia Akbar; Mohammad Peikari; Sherine Salama; Sharon Nofech-Mozes; Anne L. Martel (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2019)