Shazia Akbar

428 total citations
20 papers, 269 citations indexed

About

Shazia Akbar is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition. According to data from OpenAlex, Shazia Akbar has authored 20 papers receiving a total of 269 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 8 papers in Radiology, Nuclear Medicine and Imaging and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Shazia Akbar's work include AI in cancer detection (12 papers), Radiomics and Machine Learning in Medical Imaging (8 papers) and Medical Image Segmentation Techniques (4 papers). Shazia Akbar is often cited by papers focused on AI in cancer detection (12 papers), Radiomics and Machine Learning in Medical Imaging (8 papers) and Medical Image Segmentation Techniques (4 papers). Shazia Akbar collaborates with scholars based in United Kingdom, Canada and United States. Shazia Akbar's co-authors include S.J. McKenna, Siyamalan Manivannan, Wenqi Li, Jianguo Zhang, Ruixuan Wang, Anne L. Martel, Sharon Nofech‐Mozes, Lee B. Jordan, Sherine Salama and Emanuele Trucco and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

Shazia Akbar

18 papers receiving 264 citations

Peers

Countries citing papers authored by Shazia Akbar

Since Specialization

Citations

This map shows the geographic impact of Shazia Akbar's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Shazia Akbar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shazia Akbar more than expected).

Fields of papers citing papers by Shazia Akbar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shazia Akbar. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Shazia Akbar. The network helps show where Shazia Akbar may publish in the future.

Co-authorship network of co-authors of Shazia Akbar

This figure shows the co-authorship network connecting the top 25 collaborators of Shazia Akbar. A scholar is included among the top collaborators of Shazia Akbar based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shazia Akbar. Shazia Akbar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Exploring the Variability in Antibacterial Testing of Resin Dental Composites among Investigators: A Narrative Review 2023 ·SHILAP Revista de lepidopterología ·(unknown), (unknown), (unknown), Shazia Akbar, (unknown), Naresh Kumar, Muhammad Sohail Zafar, Laura Murcia, Ricardo Elías Oñate Sánchez	0
2	Automated imaging-based prognostication (IPRO) for stage I non-small cell lung cancer using deep learning applied to computed tomography. 2022 ·Journal of Clinical Oncology ·Felipe Soares Torres, Shazia Akbar, Srinivas Raman, Kazuhiro Yasufuku, (unknown), (unknown), Natasha B. Leighl	3
3	Demographic Spectrum of Oral Squamous Cell Carcinoma in Public Health Care Facility in Karachi Pakistan 2022 ·(unknown), Shazia Akbar, (unknown), (unknown), (unknown)	0
4	End-to-End Non–Small-Cell Lung Cancer Prognostication Using Deep Learning Applied to Pretreatment Computed Tomography 2021 ·JCO Clinical Cancer Informatics ·Felipe Soares Torres, Shazia Akbar, Srinivas Raman, Kazuhiro Yasufuku, (unknown), Ahmed Hosny, (unknown), Natasha B. Leighl	7
5	Automated imaging-based stratification of early-stage lung cancer patients prior to receiving surgical resection using deep learning applied to CTs. 2021 ·Journal of Clinical Oncology ·Felipe Soares Torres, Shazia Akbar, Srinivas Raman, Kazuhiro Yasufuku, (unknown), Natasha B. Leighl	1
6	SPIE-AAPM-NCI BreastPathQ challenge: an image analysis challenge for quantitative tumor cellularity assessment in breast cancer histology images following neoadjuvant treatment 2021 ·Journal of Medical Imaging ·Nicholas Petrick, Shazia Akbar, H. Kenny, Sharon Nofech‐Mozes, Berkman Sahiner, Marios A. Gavrielides, Jayashree Kalpathy–Cramer, Karen Drukker, Anne L. Martel, (unknown)	19
7	Automated and Manual Quantification of Tumour Cellularity in Digital Slides for Tumour Burden Assessment 2019 ·Scientific Reports ·Shazia Akbar, Mohammad Peikari, Sherine Salama, (unknown), Sharon Nofech‐Mozes, Anne L. Martel	36
8	Determining tumor cellularity in digital slides using ResNet 2018 ·Shazia Akbar, Anne L. Martel, Mohammad Peikari, Sherine Salama, Sharon Nofech‐Mozes	5
9	The transition module: a method for preventing overfitting in convolutional neural networks 2018 ·Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization ·Shazia Akbar, (unknown), Sherine Salama, Sharon Nofech‐Mozes, Anne L. Martel	12
10	Local structure prediction for gland segmentation 2016 ·Discovery Research Portal (University of Dundee) ·Siyamalan Manivannan, Wenqi Li, Shazia Akbar, Jianguo Zhang, Emanuele Trucco, S.J. McKenna	4
11	Gland segmentation in colon histology images using hand-crafted features and convolutional neural networks 2016 ·Discovery Research Portal (University of Dundee) ·Wenqi Li, Siyamalan Manivannan, Shazia Akbar, Jianguo Zhang, Emanuele Trucco, S.J. McKenna	42
12	Comparing computer-generated and pathologist-generated tumour segmentations for immunohistochemical scoring of breast tissue microarrays 2015 ·British Journal of Cancer ·Shazia Akbar, Lee B. Jordan, Colin A. Purdie, Alastair M. Thompson, S.J. McKenna	27
13	An automated pattern recognition system for classifying indirect immunofluorescence images of HEp-2 cells and specimens 2015 ·Pattern Recognition ·Siyamalan Manivannan, Wenqi Li, Shazia Akbar, Ruixuan Wang, Jianguo Zhang, S.J. McKenna	60
14	Tumor localization in tissue microarrays using rotation invariant superpixel pyramids 2015 ·Discovery Research Portal (University of Dundee) ·Shazia Akbar, Lee B. Jordan, Alastair M. Thompson, S.J. McKenna	5
15	Status of Secretor and Non-Secretor with Respect to ABO Blood Group System in Young Population in Karachi-Pakistan 2014 ·Journal of the Medical Sciences (Berkala Ilmu Kedokteran) ·(unknown), Haroon Ahmad, Tauseef Ahmad, Tanveer Hussain, Shazia Akbar, (unknown), Shahana Urooj Kazmi	3
16	HEp-2 Specimen Classification Using Multi-resolution Local Patterns and SVM 2014 ·Discovery Research Portal (University of Dundee) ·Siyamalan Manivannan, Wenqi Li, Shazia Akbar, Ruixuan Wang, Jianguo Zhang, S.J. McKenna	6
17	HEp-2 Cell Classification Using Multi-resolution Local Patterns and Ensemble SVMs 2014 ·Discovery Research Portal (University of Dundee) ·Siyamalan Manivannan, Wenqi Li, Shazia Akbar, Ruixuan Wang, Jianguo Zhang, S.J. McKenna	18
18	Immunohistochemical analysis of breast tissue microarray images using contextual classifiers 2013 ·Journal of Pathology Informatics ·S.J. McKenna, (unknown), Shazia Akbar, Lee B. Jordan, Alastair Thompson	16
19	Spin-context Segmentation of Breast Tissue Microarray Images 2013 ·Discovery Research Portal (University of Dundee) ·Shazia Akbar, S.J. McKenna, Teresa Amaral, Lee B. Jordan, Alastair Thompson	1
20	Tumour segmentation in breast tissue microarray images using spin-context 2012 ·Discovery Research Portal (University of Dundee) ·Shazia Akbar, (unknown), S.J. McKenna, Alastair Thompson, Lee B. Jordan	4

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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