Azam Hamidinekoo

17 papers Journal 6Unranked 11

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Utilizing Weak-to-Strong Consistency for Semi-Supervised Glomeruli Segmentation. CoRR 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
2023	—	`conf`	Interpretable histopathology-based prediction of disease relevant features in Inflammatory Bowel Disease biopsies using weakly-supervised deep learning. MIDL 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
2023	J	`jnl`	Interpretable histopathology-based prediction of disease relevant features in Inflammatory Bowel Disease biopsies using weakly-supervised deep learning. CoRR 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
2022	—	`conf`	Automated Dcis Identification From Multiplex Immunohistochemistry Using Generative Adversarial Networks. ISBI 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
2021	—	`conf`	Automated Quantification Of Blood Microvessels In Hematoxylin And Eosin Whole Slide Images. COMPAY@MICCAI Azam Hamidinekoo, Anna Kelsey, Nicholas Trahearn, Joanna Selfe, Janet Shipley, Yinyin Yuan
2020	—	`conf`	Glioma Classification Using Multimodal Radiology and Histology Data. BrainLes@MICCAI (2) Azam Hamidinekoo, Tomasz Pieciak, Maryam Afzali, Otar Akanyeti, Yinyin Yuan
2020	J	`jnl`	Glioma Classification Using Multimodal Radiology and Histology Data. CoRR Azam Hamidinekoo, Tomasz Pieciak, Maryam Afzali, Otar Akanyeti, Yinyin Yuan
2020	J	`jnl`	Investigating the Performance of Generative Adversarial Networks for Prostate Tissue Detection and Segmentation. J. Imaging Ufuk Cem Birbiri, Azam Hamidinekoo, Amélie Grall, Paul Malcolm, Reyer Zwiggelaar
2019	—	`conf`	Using a Conditional Generative Adversarial Network (cGAN) for Prostate Segmentation. MIUA Amélie Grall, Azam Hamidinekoo, Paul Malcolm, Reyer Zwiggelaar
2018	—	`conf`	Comparing the performance of various deep networks for binary classification of breast tumours. IWBI Azam Hamidinekoo, Zobia Suhail, Erika R. E. Denton, Reyer Zwiggelaar
2018	J	`jnl`	Deep learning in mammography and breast histology, an overview and future trends. Medical Image Anal. Azam Hamidinekoo, Erika R. E. Denton, Andrik Rampun, Kate Honnor, Reyer Zwiggelaar
2018	—	`conf`	Distributed Rough Set Based Feature Selection Approach to Analyse Deep and Hand-crafted Features for Mammography Mass Classification. IEEE BigData Azam Hamidinekoo, Zaineb Chelly Dagdia, Zobia Suhail, Reyer Zwiggelaar
2018	J	`jnl`	Mammographic mass classification using filter response patches. IET Comput. Vis. Zobia Suhail, Azam Hamidinekoo, Reyer Zwiggelaar
2017	—	`conf`	A Texton-Based Approach for the Classification of Benign and Malignant Masses in Mammograms. MIUA Zobia Suhail, Azam Hamidinekoo, Erika R. E. Denton, Reyer Zwiggelaar
2017	—	`conf`	Investigating the Effect of Various Augmentations on the Input Data Fed to a Convolutional Neural Network for the Task of Mammographic Mass Classification. MIUA Azam Hamidinekoo, Zobia Suhail, Talha Qaiser, Reyer Zwiggelaar
2017	—	`conf`	Stain Colour Normalisation to Improve Mitosis Detection on Breast Histology Images. DLMIA/ML-CDS@MICCAI Azam Hamidinekoo, Reyer Zwiggelaar
2014	—	`conf`	Manifold learning based registration algorithms applied to multimodal images. EMBC Mohammad Farid Azampour, Aboozar Ghaffari, Azam Hamidinekoo, Emad Fatemizadeh