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P277 Predicting disease relevant features in Crohn’s Disease and Ulcerative Colitis from Haematoxylin & Eosin stained whole slide images using self-supervised deep learning

Journal of Crohn's and colitis, 2023-01, Vol.17 (Supplement_1), p.i427-i428

2023

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P153 Artificial Intelligence to predict interleukin-23 signalling activity from H&E stained whole slide images of Inflammatory Bowel Disease

Journal of Crohn's and colitis, 2024-01, Vol.18 (Supplement_1), p.i458-i458

2024

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

2014 21th Iranian Conference on Biomedical Engineering (ICBME), 2014, p.109-112

2014

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

Medical image analysis, 2018-07, Vol.47, p.45-67

2018

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

Biochimica et biophysica acta. Reviews on cancer, 2021-04, Vol.1875 (2), p.188520-188520, Article 188520

2021

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Mammographic mass classification using filter response patches

IET computer vision, 2018-12, Vol.12 (8), p.1060-1066

2018

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

Journal of imaging, 2020-08, Vol.6 (9), p.83

2020

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

NPJ breast cancer, 2022-09, Vol.8 (1), p.105-105, Article 105

2022

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Stain Colour Normalisation to Improve Mitosis Detection on Breast Histology Images

Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support, 2017, Vol.10553, p.213-221

2017

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

Gigascience, 2020-03, Vol.9 (3)

2020

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Glioma Classification Using Multimodal Radiology and Histology Data

Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021, Vol.12659, p.508-518

2021

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Automated Dcis Identification From Multiplex Immunohistochemistry Using Generative Adversarial Networks

2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI), 2022, p.1-5

2022

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

Medical Image Understanding and Analysis, 2020, Vol.1065, p.15-25

2020

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

Medical Image Understanding and Analysis, 2017, Vol.723, p.398-409

2017

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A Texton-Based Approach for the Classification of Benign and Malignant Masses in Mammograms

Medical Image Understanding and Analysis, 2017, Vol.723, p.355-364

2017

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

2018 IEEE International Conference on Big Data (Big Data), 2018, p.2423-2432

2018

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Manifold learning based registration algorithms applied to multimodal images

2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014, Vol.2014, p.1030-1034

2014

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Evaluation of Demographic Characteristics and Therapeutic Response to ocular Chemical Burn in Patients Referred to Eye Emergency Department of Farshchian Hospital in 2015-2016

Internal Medicine and Medical Investigation Journal, 2018-10, Vol.3 (4)

2018

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P277 Predicting disease relevant features in Crohn’s Disease and Ulcerative Colitis from Haematoxylin & Eosin stained whole slide images using self-supervised deep learning

P153 Artificial Intelligence to predict interleukin-23 signalling activity from H&E stained whole slide images of Inflammatory Bowel Disease

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

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

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

Mammographic mass classification using filter response patches

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

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

Stain Colour Normalisation to Improve Mitosis Detection on Breast Histology Images

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

Glioma Classification Using Multimodal Radiology and Histology Data

Automated Dcis Identification From Multiplex Immunohistochemistry Using Generative Adversarial Networks

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

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

A Texton-Based Approach for the Classification of Benign and Malignant Masses in Mammograms

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

Manifold learning based registration algorithms applied to multimodal images

Evaluation of Demographic Characteristics and Therapeutic Response to ocular Chemical Burn in Patients Referred to Eye Emergency Department of Farshchian Hospital in 2015-2016

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