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

[BibT_eX]

[DOI]

Ricardo Mokhtari

Azam Hamidinekoo

Proceedings of the Medical Imaging with Deep Learning, 2023

2022

Automated Dcis Identification From Multiplex Immunohistochemistry Using Generative Adversarial Networks.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the MICCAI Workshop on Computational Pathology, 2021

2020

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

[BibT_eX]

[DOI]

J. Imaging, 2020

Glioma Classification Using Multimodal Radiology and Histology Data.

[BibT_eX]

[DOI]

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

2019

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

[BibT_eX]

[DOI]

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

2018

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

[BibT_eX]

[DOI]

Medical Image Anal., 2018

Mammographic mass classification using filter response patches.

[BibT_eX]

[DOI]

Zobia Suhail

Azam Hamidinekoo

Reyer Zwiggelaar

IET Comput. Vis., 2018

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

Azam Hamidinekoo

Reyer Zwiggelaar