Azam Hamidinekoo

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 16

Top Topics

Binary Classification

Laplacian Eigenmaps

Prostate Segmentation

Top Venues

BrainLes@MICCAI (2)

Publications

Irina Zhang, Jim Denholm, Azam Hamidinekoo, Oskar Ålund, Christopher Bagnall, Joana Palés Huix, Michal Sulikowski, Ortensia Vito, Arthur Lewis, Robert Unwin, Magnus Söderberg, Nikolay Burlutskiy, Talha Qaiser
Utilizing Weak-to-Strong Consistency for Semi-Supervised Glomeruli Segmentation. CoRR (2024)
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
Interpretable histopathology-based prediction of disease relevant features in Inflammatory Bowel Disease biopsies using weakly-supervised deep learning. MIDL (2023)
Ricardo Mokhtari, Azam Hamidinekoo, Daniel Sutton, Arthur Lewis, Bastian Angermann, Ulf Gehrmann, Pal Lundin, Hibret Adissu, Junmei Cairns, Jessica Neisen, Emon Khan, Daniel Marks, Nia Khachapuridze, Talha Qaiser, Nikolay Burlutskiy
Interpretable histopathology-based prediction of disease relevant features in Inflammatory Bowel Disease biopsies using weakly-supervised deep learning. CoRR (2023)
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
Automated Dcis Identification From Multiplex Immunohistochemistry Using Generative Adversarial Networks. ISBI (2022)
Azam Hamidinekoo, Anna Kelsey, Nicholas Trahearn, Joanna Selfe, Janet Shipley, Yinyin Yuan
Automated Quantification Of Blood Microvessels In Hematoxylin And Eosin Whole Slide Images. COMPAY@MICCAI (2021)
Azam Hamidinekoo, Tomasz Pieciak, Maryam Afzali, Otar Akanyeti, Yinyin Yuan
Glioma Classification Using Multimodal Radiology and Histology Data. CoRR (2020)
Azam Hamidinekoo, Tomasz Pieciak, Maryam Afzali, Otar Akanyeti, Yinyin Yuan
Glioma Classification Using Multimodal Radiology and Histology Data. BrainLes@MICCAI (2) (2020)
Ufuk Cem Birbiri, Azam Hamidinekoo, Amélie Grall, Paul Malcolm, Reyer Zwiggelaar
Investigating the Performance of Generative Adversarial Networks for Prostate Tissue Detection and Segmentation. J. Imaging 6 (9) (2020)
Amélie Grall, Azam Hamidinekoo, Paul Malcolm, Reyer Zwiggelaar
Using a Conditional Generative Adversarial Network (cGAN) for Prostate Segmentation. MIUA (2019)
Azam Hamidinekoo, Zaineb Chelly Dagdia, Zobia Suhail, Reyer Zwiggelaar
Distributed Rough Set Based Feature Selection Approach to Analyse Deep and Hand-crafted Features for Mammography Mass Classification. IEEE BigData (2018)
Azam Hamidinekoo, Erika R. E. Denton, Andrik Rampun, Kate Honnor, Reyer Zwiggelaar
Deep learning in mammography and breast histology, an overview and future trends. Medical Image Anal. 47 (2018)
Azam Hamidinekoo, Zobia Suhail, Erika R. E. Denton, Reyer Zwiggelaar
Comparing the performance of various deep networks for binary classification of breast tumours. IWBI (2018)
Zobia Suhail, Azam Hamidinekoo, Reyer Zwiggelaar
Mammographic mass classification using filter response patches. IET Comput. Vis. 12 (8) (2018)
Azam Hamidinekoo, Zobia Suhail, Talha Qaiser, Reyer Zwiggelaar
Investigating the Effect of Various Augmentations on the Input Data Fed to a Convolutional Neural Network for the Task of Mammographic Mass Classification. MIUA (2017)
Azam Hamidinekoo, Reyer Zwiggelaar
Stain Colour Normalisation to Improve Mitosis Detection on Breast Histology Images. DLMIA/ML-CDS@MICCAI (2017)
Zobia Suhail, Azam Hamidinekoo, Erika R. E. Denton, Reyer Zwiggelaar
A Texton-Based Approach for the Classification of Benign and Malignant Masses in Mammograms. MIUA (2017)
Mohammad Farid Azampour, Aboozar Ghaffari, Azam Hamidinekoo, Emad Fatemizadeh
Manifold learning based registration algorithms applied to multimodal images. EMBC (2014)