Azam Hamidinekoo

According to our database, Azam Hamidinekoo authored at least 14 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Interpretable histopathology-based prediction of disease relevant features in Inflammatory Bowel Disease biopsies using weakly-supervised deep learning.

Ricardo Mokhtari, Azam Hamidinekoo, Daniel James Sutton, Arthur Lewis, Bastian Angermann, Ulf Gehrmann, Pål Lundin, Hibret Adissu, Junmei Cairns, Jessica Neisen, Emon Khan, Daniel Marks, Nia Khachapuridze, Talha Qaiser, Nikolay Burlutskiy

Proceedings of the Medical Imaging with Deep Learning, 2023

2022

Automated Dcis Identification From Multiplex Immunohistochemistry Using Generative Adversarial Networks.

Faranak Sobhani, Azam Hamidinekoo, Allison H. Hall, Lorraine M. King, Jeffrey R. Marks, Carlo C. Maley, Hugo M. Horlings, Eun-Sil Shelley Hwang, Yinyin Yuan

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

2021

Automated Quantification Of Blood Microvessels In Hematoxylin And Eosin Whole Slide Images.

Azam Hamidinekoo, Anna Kelsey, Nicholas Trahearn, Joanna Selfe, Janet Shipley, Yinyin Yuan

Proceedings of the MICCAI Workshop on Computational Pathology, 2021

2020

Investigating the Performance of Generative Adversarial Networks for Prostate Tissue Detection and Segmentation.

Ufuk Cem Birbiri, Azam Hamidinekoo, Amélie Grall, Paul Malcolm, Reyer Zwiggelaar

J. Imaging, 2020

Glioma Classification Using Multimodal Radiology and Histology Data.

Azam Hamidinekoo, Tomasz Pieciak, Maryam Afzali, Otar Akanyeti, Yinyin Yuan

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2020

2019

Using a Conditional Generative Adversarial Network (cGAN) for Prostate Segmentation.

Amélie Grall, Azam Hamidinekoo, Paul Malcolm, Reyer Zwiggelaar

Proceedings of the Medical Image Understanding and Analysis - 23rd Conference, 2019

2018

Deep learning in mammography and breast histology, an overview and future trends.

Azam Hamidinekoo, Erika R. E. Denton, Andrik Rampun, Kate Honnor, Reyer Zwiggelaar

Medical Image Anal., 2018

Mammographic mass classification using filter response patches.

Zobia Suhail, Azam Hamidinekoo, Reyer Zwiggelaar

IET Comput. Vis., 2018

Comparing the performance of various deep networks for binary classification of breast tumours.

Azam Hamidinekoo, Zobia Suhail, Erika R. E. Denton, Reyer Zwiggelaar

Proceedings of the 14th International Workshop on Breast Imaging, 2018

Distributed Rough Set Based Feature Selection Approach to Analyse Deep and Hand-crafted Features for Mammography Mass Classification.

Azam Hamidinekoo, Zaineb Chelly Dagdia, Zobia Suhail, Reyer Zwiggelaar

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017

A Texton-Based Approach for the Classification of Benign and Malignant Masses in Mammograms.

Zobia Suhail, Azam Hamidinekoo, Erika R. E. Denton, Reyer Zwiggelaar

Proceedings of the Medical Image Understanding and Analysis - 21st Annual Conference, 2017

Investigating the Effect of Various Augmentations on the Input Data Fed to a Convolutional Neural Network for the Task of Mammographic Mass Classification.

Azam Hamidinekoo, Zobia Suhail, Talha Qaiser, Reyer Zwiggelaar

Proceedings of the Medical Image Understanding and Analysis - 21st Annual Conference, 2017

Stain Colour Normalisation to Improve Mitosis Detection on Breast Histology Images.

Azam Hamidinekoo, Reyer Zwiggelaar

Proceedings of the Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support, 2017

2014

Manifold learning based registration algorithms applied to multimodal images.

Mohammad Farid Azampour, Aboozar Ghaffari, Azam Hamidinekoo, Emad Fatemizadeh

Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014