Deep Learning in Mammography and Breast Histology, an Overview and Future Trends A Hamidinekoo, E Denton, A Rampun, K Honnor, R Zwiggelaar Medical Image Analysis 47, 45 – 67, 2018 | 318 | 2018 |
Artificial intelligence and digital pathology: Opportunities and implications for immuno-oncology F Sobhani, R Robinson, A Hamidinekoo, I Roxanis, N Somaiah, Y Yuan Biochimica et Biophysica Acta (BBA)-Reviews on Cancer 1875 (2), 188520, 2021 | 36 | 2021 |
Investigating the effect of various augmentations on the input data fed to a convolutional neural network for the task of mammographic mass classification A Hamidinekoo, Z Suhail, T Qaiser, R Zwiggelaar Medical Image Understanding and Analysis: 21st Annual Conference, MIUA 2017 …, 2017 | 22 | 2017 |
DeepPod: a convolutional neural network based quantification of fruit number in Arabidopsis A Hamidinekoo, GA Garzón-Martínez, M Ghahremani, FMK Corke, ... GigaScience 9 (3), giaa012, 2020 | 17 | 2020 |
Investigating the performance of generative adversarial networks for prostate tissue detection and segmentation U Cem Birbiri, A Hamidinekoo, A Grall, P Malcolm, R Zwiggelaar Journal of imaging 6 (9), 83, 2020 | 13 | 2020 |
Glioma classification using multimodal radiology and histology data A Hamidinekoo, T Pieciak, M Afzali, O Akanyeti, Y Yuan International MICCAI Brainlesion Workshop, 508-518, 2020 | 10 | 2020 |
Comparing the performance of various deep networks for binary classification of breast tumours A Hamidinekoo, Z Suhail, E Denton, R Zwiggelaar 14th International Workshop on Breast Imaging (IWBI 2018) 10718, 36-43, 2018 | 10 | 2018 |
Using a conditional Generative Adversarial Network (cGAN) for Prostate Segmentation A Grall, A Hamidinekoo, P Malcolm, R Zwiggelaar 23rd Conference on Medical Image Understanding and Analysis, 2019 | 9 | 2019 |
Distributed rough set based feature selection approach to analyse deep and hand-crafted features for mammography mass classification A Hamidinekoo, ZC Dagdia, Z Suhail, R Zwiggelaar 2018 IEEE International Conference on Big Data (Big Data), 2423-2432, 2018 | 9 | 2018 |
Automated Mammogram Analysis with a Deep Learning Pipeline A Hamidinekoo, E Denton, R Zwiggelaar Medical Imaging with Deep Learning (MIDL), Extended Abstracts, 2019 | 8 | 2019 |
Spatial interplay of tissue hypoxia and T-cell regulation in ductal carcinoma in situ F Sobhani, S Muralidhar, A Hamidinekoo, AH Hall, LM King, JR Marks, ... Npj Breast Cancer 8 (1), 105, 2022 | 6 | 2022 |
Stain colour normalisation to improve mitosis detection on breast histology images A Hamidinekoo, R Zwiggelaar Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical …, 2017 | 6 | 2017 |
Manifold learning based registration algorithms applied to multimodal images MF Azampour, A Ghaffari, A Hamidinekoo, E Fatemizadeh Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual …, 2014 | 6 | 2014 |
Interpretable histopathology-based prediction of disease relevant features in Inflammatory Bowel Disease biopsies using weakly-supervised deep learning R Mokhtari, A Hamidinekoo, D Sutton, A Lewis, B Angermann, ... arXiv preprint arXiv:2303.12095, 2023 | 5 | 2023 |
Mammographic mass classification using filter response patches Z Suhail, A Hamidinekoo, R Zwiggelaar IET Computer Vision 12 (8), 1060-1066, 2018 | 5 | 2018 |
Automatic gait analysis during steady and unsteady walking using a smartphone A Sher, D Langford, E Dogger, D Monaghan, LI Lunn, M Schroeder, ... Authorea Preprints, 2023 | 4 | 2023 |
Resolving to super resolution multi-dimensional diffusion imaging (Super-MUDI) V Nath, M Pizzolato, M Palombo, N Gyori, KG Schilling, CH Hansen, Y Qi, ... ISMRM & SMRT Annual Meeting, 2021 | 3 | 2021 |
A texton-based approach for the classification of benign and malignant masses in mammograms Z Suhail, A Hamidinekoo, ERE Denton, R Zwiggelaar Medical Image Understanding and Analysis: 21st Annual Conference, MIUA 2017 …, 2017 | 3 | 2017 |
Optimal temporal resolution for decoding of visual stimuli in inferior temporal cortex A Babolhavaeji, S Karimi, A Ghaffari, A Hamidinekoo, B Vosoughi-Vahdat 2014 21th Iranian Conference on Biomedical Engineering (ICBME), 109-112, 2014 | 3 | 2014 |
Automated dcis identification from multiplex immunohistochemistry using generative adversarial networks F Sobhani, A Hamidinekoo, AH Hall, L King, JR Marks, C Maley, ... 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI), 1-5, 2022 | 2 | 2022 |