A. Hamidinekoo

发表

Can We Predict Histological Images Using Mammograms ?

E. Denton, R. Zwiggelaar, A. Hamidinekoo, 2019 .

Automatic gait analysis during steady and unsteady walking using a smartphone

R. Zwiggelaar, F. Villagra, M. Arkesteijn, 2021 .

Spatial interplay of tissue hypoxia and T-cell regulation in ductal carcinoma in situ

H. Horlings, Lorraine M. King, C. Maley, 2022, npj Breast Cancer.

Artificial intelligence and digital pathology: Opportunities and implications for immuno-oncology

Yinyin Yuan, N. Somaiah, I. Roxanis, 2021, Biochimica et biophysica acta. Reviews on cancer.

DeepPod: a convolutional neural network based quantification of fruit number in Arabidopsis

Morteza Ghahremani, Reyer Zwiggelaar, Gina A. Garzón-Martínez, 2020, GigaScience.

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

Reyer Zwiggelaar, Zaineb Chelly Dagdia, Azam Hamidinekoo, 2018, 2018 IEEE International Conference on Big Data (Big Data).

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

Reyer Zwiggelaar, Erika R. E. Denton, Andrik Rampun, 2018, Medical Image Anal..

Optimal temporal resolution for decoding of visual stimuli in inferior temporal cortex

A. Ghaffari, S. Karimi, A. Babolhavaeji, 2014, 2014 21th Iranian Conference on Biomedical Engineering (ICBME).

Mammographic mass classification using filter response patches

Reyer Zwiggelaar, Azam Hamidinekoo, Zobia Suhail, 2018, IET Comput. Vis..

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

Reyer Zwiggelaar, Azam Hamidinekoo, Zobia Suhail, 2017, MIUA.

Automated Mammogram Analysis with a Deep Learning Pipeline

Reyer Zwiggelaar, Erika R. E. Denton, Azam Hamidinekoo, 2019, 1907.11953.

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

Talha Qaiser, J. Cairns, U. Gehrmann, 2023, MIDL.

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

Yinyin Yuan, A. Kelsey, J. Shipley, 2021, COMPAY@MICCAI.

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

Reyer Zwiggelaar, Erika R. E. Denton, Azam Hamidinekoo, 2018, Other Conferences.

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

Reyer Zwiggelaar, Paul Malcolm, Azam Hamidinekoo, 2019, MIUA.