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Computer vision, Deep learning, Machine learning, Medical image analysis, Active contours
United Kingdom

Biography

I'm a senior lecturer in computer science (machine learning and computer vision) within the Computer Science Department at Exeter University and a fellow of the British Higher Education Academy (HEA). Before joining Exeter University, I was a senior lecturer in data and information science at the School of Computing and Digital Technology, Birmingham City University, where I was also the leading member of the Computer Vision theme within the DAAI research group at Birmingham City University. I've been working on developing artificial intelligence tools for healthcare and life science applications since 2005. I've been working within several groups of biologists, pathologists, and computer scientists in different research projects in Egypt, Singapore, Italy, and the UK. I also worked for the School of Computer Science at Nottingham University, Mechanochemical Cell Biology at Warwick University, Nottingham Molecular Pathology Node (NMPN), and Division of Cancer and Stem Cells both at Nottingham Medical School, as a Research Fellow. In 2016, I got the prestigious Marie Cuire Research Fellowship in the school of Computer Science at Nottingham University. My current research interests are concerned with the development of statistical/classical machine learning and deep learning approaches in the areas of medical image segmentation, medical image classification, semantic/instance segmentation, feature extraction, and data mining and machine learning, with the overall ambition to assist human investigation.

Activities

Employment (5)

University of Warwick Warwick Medical School: Coventry, Coventry, GB

Employment
Source: Self-asserted source
Mohammed M. Abdelsamea

University of Nottingham: Nottingham, Nottingham, GB

Employment
Source: Self-asserted source
Mohammed M. Abdelsamea

Birmingham City University: Birmingham, GB

Employment
Source: Self-asserted source
Mohammed M. Abdelsamea

Assiut University: Assiut, EG

Employment
Source: Self-asserted source
Mohammed M. Abdelsamea

University of Exeter: Exeter, GB

2023-10-16 to present | Senior lecturer (Computer science )
Employment
Source: Self-asserted source
Mohammed M. Abdelsamea

Education and qualifications (2)

University of Nottingham: Nottingham, Nottingham, GB

Qualification
Source: Self-asserted source
Mohammed M. Abdelsamea

IMT Institute for Advanced Studies Lucca: Lucca, IT

Qualification
Source: Self-asserted source
Mohammed M. Abdelsamea

Works (35)

DeepCon: Unleashing the Power of Divide and Conquer Deep Learning for Colorectal Cancer Classification

IEEE Open Journal of the Computer Society
2024 | Journal article
Contributors: Suhaib Chughtai; Zakaria Senousy; Ahmed Mahany; Nouh Sabri Elmitwally; Khalid N. Ismail; Mohamed Medhat Gaber; Mohammed M. Abdelsamea
Source: check_circle
Crossref

Deep multi-locality convolutional neural network for DDoS detection in smart home IoT.

International Journal of Information and Computer Security
2023 | Journal article
Part of ISSN: 1744-1765
Part of ISSN: 1744-1773
Contributors: Mohammed Almehdhar; Ruan Na; Mohammed M. Abdelsamea
Source: Self-asserted source
Mohammed M. Abdelsamea

From Pixels to Deposits: Porphyry Mineralization With Multispectral Convolutional Neural Networks

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
2023 | Journal article
Contributors: Usama Zidan; Hamdy A. El Desouky; Mohamed Medhat Gaber; Mohammed M. Abdelsamea
Source: check_circle
Crossref

AUQantO: Actionable Uncertainty Quantification Optimization in deep learning architectures for medical image classification

Applied Soft Computing
2023-10 | Journal article
Contributors: Zakaria Senousy; Mohamed Medhat Gaber; Mohammed M. Abdelsamea
Source: check_circle
Crossref

The power of progressive active learning in floorplan images for energy assessment

Scientific Reports
2023-09-27 | Journal article
Part of ISSN: 2045-2322
Contributors: Dhoyazan Al-Turki; Marios Kyriakou; Shadi Basurra; Mohamed Medhat Gaber; Mohammed M. Abdelsamea
Source: Self-asserted source
Mohammed M. Abdelsamea

SwinCup: Cascaded swin transformer for histopathological structures segmentation in colorectal cancer

Expert Systems with Applications
2023-04 | Journal article
Contributors: Usama Zidan; Mohamed Medhat Gaber; Mohammed M. Abdelsamea
Source: check_circle
Crossref

A logarithmically amortising temperature effect for supervised learning of wheat solar disinfestation of rice weevil Sitophilus oryzae (Coleoptera: Curculionidae) using plastic bags

Scientific Reports
2023-02-14 | Journal article
Part of ISSN: 2045-2322
Contributors: Mohammed M. Abdelsamea; Mohamed Medhat Gaber; Aliyuda Ali; Marios Kyriakou; Shams Fawki
Source: Self-asserted source
Mohammed M. Abdelsamea
grade
Preferred source (of 2)‎

XDecompo: Explainable Decomposition Approach in Convolutional Neural Networks for Tumour Image Classification

Sensors
2022-12 | Journal article | Author
Contributors: Asmaa Abbas; Mohamed Medhat Gaber; Mohammed M. Abdelsamea
Source: check_circle
Multidisciplinary Digital Publishing Institute
grade
Preferred source (of 2)‎

A survey on artificial intelligence in histopathology image analysis

WIREs Data Mining and Knowledge Discovery
2022-11 | Journal article
Contributors: Mohammed M. Abdelsamea; Usama Zidan; Zakaria Senousy; Mohamed Medhat Gaber; Emad Rakha; Mohammad Ilyas
Source: check_circle
Crossref

4S-DT: Self-Supervised Super Sample Decomposition for Transfer Learning With Application to COVID-19 Detection

IEEE Transactions on Neural Networks and Learning Systems
2021 | Journal article
Part of ISSN: 2162-237X
Part of ISSN: 2162-2388
Source: Self-asserted source
Mohammed M. Abdelsamea
grade
Preferred source (of 3)‎

Classification of COVID-19 in chest X-ray images using DeTraC deep convolutional neural network

Applied Intelligence
2021 | Journal article
EID:

2-s2.0-85090305009

Part of ISSN: 15737497 0924669X
Contributors: Abbas, A.; Abdelsamea, M.M.; Gaber, M.M.
Source: Self-asserted source
Mohammed M. Abdelsamea via Scopus - Elsevier

MCUa: Multi-level Context and Uncertainty aware Dynamic Deep Ensemble for Breast Cancer Histology Image Classification

IEEE Transactions on Biomedical Engineering
2021 | Journal article
Part of ISSN: 0018-9294
Part of ISSN: 1558-2531
Source: Self-asserted source
Mohammed M. Abdelsamea
grade
Preferred source (of 2)‎

Predicting the Economic Impact of the COVID-19 Pandemic in the United Kingdom Using Time-Series Mining

Economies
2021-09 | Journal article | Author
Contributors: Ahmed Rakha; Hansi Hettiarachchi; Dina Rady; Mohamed Medhat Gaber; Emad Rakha; Mohammed M. Abdelsamea
Source: check_circle
Multidisciplinary Digital Publishing Institute
grade
Preferred source (of 2)‎

On The Effect Of Decomposition Granularity On DeTraC For COVID-19 Detection Using Chest X-Ray Images

ECMS 2021 Proceedings edited by Khalid Al-Begain, Mauro Iacono, Lelio Campanile, Andrzej Bargiela
2021-06-01 | Conference paper
Source: Self-asserted source
Mohammed M. Abdelsamea

3E-Net: Entropy-Based Elastic Ensemble of Deep Convolutional Neural Networks for Grading of Invasive Breast Carcinoma Histopathological Microscopic Images

Entropy
2021-05-16 | Journal article
Part of ISSN: 1099-4300
Source: Self-asserted source
Mohammed M. Abdelsamea
grade
Preferred source (of 2)‎

DeTrac: Transfer Learning of Class Decomposed Medical Images in Convolutional Neural Networks

IEEE Access
2020 | Journal article
Part of ISSN: 2169-3536
Source: Self-asserted source
Mohammed M. Abdelsamea
grade
Preferred source (of 3)‎

Artificial intelligence in digital breast pathology: Techniques and applications

The Breast
2020-02 | Journal article
Part of ISSN: 0960-9776
Source: Self-asserted source
Mohammed M. Abdelsamea
grade
Preferred source (of 2)‎

A Novel Autonomous Perceptron Model for Pattern Classification Applications

Entropy
2019-08-06 | Journal article
Part of ISSN: 1099-4300
Source: Self-asserted source
Mohammed M. Abdelsamea
grade
Preferred source (of 2)‎

Tumour parcellation and quantification (TuPaQ): a tool for refining biomarker analysis through rapid and automated segmentation of tumour epithelium

Histopathology
2019-06 | Journal article
Part of ISSN: 0309-0167
Part of ISSN: 1365-2559
Source: Self-asserted source
Mohammed M. Abdelsamea
grade
Preferred source (of 3)‎

A cascade-learning approach for automated segmentation of tumour epithelium in colorectal cancer

Expert Systems with Applications
2019-03 | Journal article
Part of ISSN: 0957-4174
Source: Self-asserted source
Mohammed M. Abdelsamea
grade
Preferred source (of 3)‎

Automated Classification of Malignant and Benign Breast Cancer Lesions Using Neural Networks on Digitized Mammograms

Cancer Informatics
2019-01 | Journal article
Part of ISSN: 1176-9351
Part of ISSN: 1176-9351
Source: Self-asserted source
Mohammed M. Abdelsamea
grade
Preferred source (of 3)‎

Learning Transformations for Automated Classification of Manifestation of Tuberculosis using Convolutional Neural Network

2018 13th International Conference on Computer Engineering and Systems (ICCES)
2018-12 | Conference paper
Source: Self-asserted source
Mohammed M. Abdelsamea
grade
Preferred source (of 2)‎

Maastricht Pathology 2018. 11th Joint Meeting of the British Division of the International Academy of Pathology and the Pathological Society of Great Britain & Ireland, 19-22 June 2018

The Journal of Pathology
2018-09 | Journal article
Part of ISSN: 0022-3417
Source: Self-asserted source
Mohammed M. Abdelsamea

A SOM-based Chan–Vese model for unsupervised image segmentation

Soft Computing
2017-04 | Journal article
Part of ISSN: 1432-7643
Part of ISSN: 1433-7479
Source: Self-asserted source
Mohammed M. Abdelsamea
grade
Preferred source (of 2)‎

A semi-automated system based on level sets and invariant spatial interrelation shape features for Caenorhabditis elegans phenotypes

Journal of Visual Communication and Image Representation
2016-11 | Journal article
Part of ISSN: 1047-3203
Source: Self-asserted source
Mohammed M. Abdelsamea
grade
Preferred source (of 2)‎

On the Relationship between Variational Level Set-Based and SOM-Based Active Contours

Computational Intelligence and Neuroscience
2015 | Journal article
Part of ISSN: 1687-5265
Part of ISSN: 1687-5273
Source: Self-asserted source
Mohammed M. Abdelsamea
grade
Preferred source (of 2)‎

Regional Active Contours based on Variational level sets and Machine Learning for Image Segmentation

2015 | Dissertation or Thesis
Contributors: M. Abdelsamea
Source: Self-asserted source
Mohammed M. Abdelsamea

An efficient Self-Organizing Active Contour model for image segmentation

Neurocomputing
2015-02 | Journal article
Part of ISSN: 0925-2312
Source: Self-asserted source
Mohammed M. Abdelsamea
grade
Preferred source (of 2)‎

Robust local–global SOM-based ACM

Electronics Letters
2015-01-22 | Journal article
Part of ISSN: 0013-5194
Part of ISSN: 1350-911X
Source: Self-asserted source
Mohammed M. Abdelsamea
grade
Preferred source (of 2)‎

A Concurrent SOM-Based Chan-Vese Model for Image Segmentation

Advances in Self-Organizing Maps and Learning Vector Quantization
2014 | Book chapter
Part of ISBN: 9783319076942
Part of ISBN: 9783319076959
Part of ISSN: 2194-5357
Part of ISSN: 2194-5365
Source: Self-asserted source
Mohammed M. Abdelsamea
grade
Preferred source (of 2)‎

A Survey of SOM-Based Active Contour Models for Image Segmentation

Advances in Self-Organizing Maps and Learning Vector Quantization
2014 | Book chapter
Part of ISBN: 9783319076942
Part of ISBN: 9783319076959
Part of ISSN: 2194-5357
Part of ISSN: 2194-5365
Source: Self-asserted source
Mohammed M. Abdelsamea
grade
Preferred source (of 2)‎

Image-based plant phenotyping with incremental learning and active contours

Ecological Informatics
2014-09 | Journal article
Part of ISSN: 1574-9541
Source: Self-asserted source
Mohammed M. Abdelsamea
grade
Preferred source (of 2)‎

Active contour model driven by Globally Signed Region Pressure Force

2013 18th International Conference on Digital Signal Processing (DSP)
2013-07 | Conference paper
Source: Self-asserted source
Mohammed M. Abdelsamea
grade
Preferred source (of 2)‎

An efficient clustering based texture feature extraction for medical image

2008 11th International Conference on Computer and Information Technology
2008-12 | Conference paper
Source: Self-asserted source
Mohammed M. Abdelsamea

Classification of COVID-19 in chest X-ray images using DeTraC deep convolutional neural network

Journal article
Source: Self-asserted source
Mohammed M. Abdelsamea

Peer review (2 reviews for 2 publications/grants)

Review activity for Health and technology. (1)
Review activity for Nature communications (1)