Machine Learning, AI, Deep Learning
Machine Learning, AI, Deep Learning
I have worked in the areas of Machine Learning, AI, Deep Learning for some time. Some of my first publications back in 1999 and 2000 were on Neural Networks, which were rather simple (as shown in the architecture of the paper in Journal of Operations Research, 2000 shown below!) as compared with recent work.
Team members:
Kokeb Dese Gebremeskel
Alumni, City, University of London
Kwun Ho Ngan
Mauricio Alberto Ortega-Ruiz
City, University of London
Riad Ibadulla
City, University of London
Youssef Arafat
City, University of London
Ananda Ananda
City, University of London
Collaborators:
Greg Slabaugh
Jakob Nikolas Kather
Jo Verhoeven
Karen Knapp
Lucy Collinson
Martin Jones
Publications:
 | DRD-UNet, a UNet-like architecture for multi-class breast cancer semantic segmentation Mauricio Alberto Ortega-Ruiz, Cefa Karabağ, Edgar Roman-Rangel, Constantino Carlos Reyes-Aldasoro Published in IEEE Access, March 2024 (see publication) Research themes: Cancer, Machine Learning, AI, Deep Learning, Microscopy Type: Paper |
 | Fat-U-Net: Non-Contracting U-Net for Free-Space Optical Neural Networks Riad Ibadulla, Constantino Carlos Reyes-Aldasoro, Thomas M. Chen" Published in AI and Optical Data Sciences V, January 2024 (see publication) Research themes: Image Processing, Machine Learning, AI, Deep Learning, Microscopy Type: Conference |
 | Dynamic analysis of the effects of vehicle movement over bridges observed with CCTV images Alfredo Camara, Constantino Carlos Reyes-Aldasoro Published in Engrxiv, January 2024 (see publication) Research themes: Image Processing, Machine Learning, AI, Deep Learning, Microscopy Type: Pre-print |
 | PLPose: An Efficient Framework for Detecting Power Lines via Key Points-based Pose Estimation Rabeea Jaffari, Manzoor Ahmed Hashmani, Constantino Carlos Reyes-Aldasoro, Aisha Zahid Junejo, Hasmi Taib, M Nasir B Abdullah Published in Journal of King Saud University-Computer and Information Sciences, June 2023 (see publication) Research themes: Image Processing, Machine Learning, AI, Deep Learning, Microscopy Type: Paper |
 | Contrastive counterfactual visual explanations with overdetermination Adam White, Kwun Ho Ngan, James Phelan, Kevin Ryan, Saman Sadeghi Afgeh, Constantino Carlos Reyes-Aldasoro, Artur d'Avila Garcez Published in Machine Learning, March 2023 (see publication) Research themes: Image Processing, Machine Learning, AI, Deep Learning, Microscopy Type: Paper |
 | Impact of Training Data, Ground Truth and Shape Variability in the Deep Learning-Based Semantic Segmentation of HeLa Cells Observed with Electron Microscopy Cefa Karabağ, Mauricio Alberto Ortega-Ruíz, Constantino Carlos Reyes-Aldasoro" Published in Journal of Imaging, March 2023 (see publication) Research themes: Cancer, Machine Learning, AI, Deep Learning, Microscopy Type: Paper |
 | FatNet: High-Resolution Kernels for Classification Using Fully Convolutional Optical Neural Networks Riad Ibadulla, Thomas M. Chen, Constantino Carlos Reyes-Aldasoro" Published in AI, March 2023 (see publication) Research themes: Image Processing, Machine Learning, AI, Deep Learning, Microscopy Type: Paper |
 | FatNet: High Resolution Kernels for Classification Using Fully Convolutional Optical Neural Networks Riad Ibadulla, Thomas M. Chen, Constantino Carlos Reyes-Aldasoro Published in arXiv, October 2022 (see publication) Research themes: Image Processing, Machine Learning, AI, Deep Learning, Microscopy Type: Pre-print |
| | Volumetric Semantic Instance Segmentation of the Plasma Membrane of HeLa Cells Azucena Ascencio-Cabral, Constantino Carlos Reyes-Aldasoro" Published in Journal of Imaging, September 2022 (see publication) Research themes: Machine Learning, AI, Deep Learning, Medical Imaging, Microscopy Type: Paper |
 | Computational Image Analysis Techniques, Programming Languages and Software Platforms Used in Cancer Research: A Scoping Review Youssef Arafat, Constantino Carlos Reyes-Aldasoro" Published in Lecture Notes in Computer Science, July 2022 (see publication) Research themes: Cancer, Machine Learning, AI, Deep Learning, Medical Imaging, Microscopy Type: Paper |
 | Automatic Gemstone Classification Using Computer Vision Bona Hiu Yan Chow, Constantino Carlos Reyes-Aldasoro, Published in Minerals, December 2021 (see publication) Research themes: Image Processing, Machine Learning, AI, Deep Learning, Microscopy Type: Paper |
| | Contrastive Counterfactual Visual Explanations With Overdetermination Adam White, Kwun Ho Ngan, James Phelan, Saman Sadeghi Afgeh, Kevin Ryan, Constantino Carlos Reyes-Aldasoro, Artur d'Avila Garcez Published in arXiv, September 2021 (see publication) Research themes: Image Processing, Machine Learning, AI, Deep Learning, Microscopy Type: Pre-print |
 | Classification and Visualisation of Normal and Abnormal Radiographs; A Comparison between Eleven Convolutional Neural Network Architectures Ananda Ananda, Kwun Ho Ngan, Cefa Karabağ, Aram Ter-Sarkisov, Eduardo Alonso, Constantino Carlos Reyes-Aldasoro Published in Sensors (Basel), September 2021 (see publication) Research themes: Machine Learning, AI, Deep Learning, Medical Imaging, Microscopy Type: Journal |
 | Special Issue on Computational Pathology: An Overview Anant Madabhushi, Constantino Carlos Reyes-Aldasoro Published in Medical Image Analysis, June 2021 (see publication) Research themes: Cancer, Machine Learning, AI, Deep Learning, Microscopy Type: Paper |
| | Volumetric Semantic Instance Segmentation of the Plasma Membrane of HeLa Cells Cefa Karabağ, Martin L. Jones, Constantino Carlos Reyes-Aldasoro" Published in Journal of Imaging, June 2021 (see publication) Research themes: Cancer, Machine Learning, AI, Deep Learning, Microscopy Type: Paper |
| | A Novel Focal Phi Loss for Power Line Segmentation with Auxiliary Classifier U-Net Rabeea Jaffari, Manzoor Ahmed Hashmani, Constantino Carlos Reyes-Aldasoro Published in Sensors (Basel), April 2021 (see publication) Research themes: Image Processing, Machine Learning, AI, Deep Learning, Microscopy Type: Paper |
| | Morphological Estimation of Cellularity on Neo-Adjuvant Treated Breast Cancer Histological Images Mauricio Alberto Ortega-Ruiz, Cefa Karabağ, Victor García Garduño, Constantino Carlos Reyes-Aldasoro Published in Journal of Imaging, October 2020 (see publication) Research themes: Cancer, Machine Learning, AI, Deep Learning, Microscopy Type: Paper |
 | Semantic segmentation of HeLa cells An objective comparison between one traditional algorithm and four deep-learning architectures Cefa Karabağ, Martin Jones, Christopher J. Peddie, Anne E Weston, Lucy M Collinson, Constantino Carlos Reyes-Aldasoro" Published in PLoS ONE, October 2020 (see publication) Research themes: Cancer, Machine Learning, AI, Deep Learning, Microscopy Type: Paper |
| | Geometric semi-automatic analysis of radiographs of Colles’ fractures Constantino Carlos Reyes-Aldasoro, Kwun Ho Ngan, Ananda Ananda, Artur d’Avila Garcez, Andrew Appelboam, Karen M. Knapp Published in PLoS ONE, September 2020 (see publication) Research themes: Machine Learning, AI, Deep Learning, Microscopy Type: Paper |
 | Geometric differences between nuclear envelopes of Wild-type and Chlamydia trachomatis-infected HeLa cells Cefa Karabağ, Martin L. Jones, Christopher J. Peddie, Anne E. Weston, Lucy M. Collinson, Constantino Carlos Reyes-Aldasoro, Published in bioRxiv, April 2020 (see publication) Research themes: Cancer, Machine Learning, AI, Deep Learning, Microscopy Type: Pre-print |
| | The relationship between Fully Connected Layers and number of classes for the analysis of retinal images Ajna Ram, Constantino Carlos Reyes-Aldasoro Published in arXiv, March 2020 (see publication) Research themes: Image Processing, Machine Learning, AI, Deep Learning, Medical Imaging, Microscopy Type: Pre-print |
 | Predicting survival from colorectal cancer histology slides using deep learning A retrospective multicenter study Jakob Nikolas Kather, Johannes Krisam, Pornpimol Charoentong, Tom Luedde, Esther Herpel, Cleo-Aron Weis, Timo Gaiser, Alexander Marx, Nektarios A. Valous, Dyke Ferber, Lina Jansen, Constantino Carlos Reyes-Aldasoro, Inka Zörnig, Dirk Jäger, Hermann Brenner, Jenny Chang-Claude, Michael Hoffmeister, Niels Halama Published in PLoS Medicine, January 2019 (see publication) Research themes: Cancer, Machine Learning, AI, Deep Learning, Microscopy Type: Paper |
 | Texture Segmentation An Objective Comparison between Five Traditional Algorithms and a Deep-Learning U-Net Architecture Cefa Karabağ, Jo Verhoeven, Naomi Rachel Miller, Constantino Carlos Reyes-Aldasoro Published in Applied Sciences, January 2019 (see publication) Research themes: Machine Learning, AI, Deep Learning, Microscopy, Texture Type: Paper |
 | Generating Magnetic Resonance Spectroscopy Imaging Data of Brain Tumours from Linear, Non-linear and Deep Learning Models Nathan Olliverre, Guang Yang, Greg Slabaugh, Constantino Carlos Reyes-Aldasoro, Eduardo Alonso Published in MICCAI Sashimi, September 2018 (see publication) Research themes: Machine Learning, AI, Deep Learning, Medical Imaging, Microscopy Type: Conference |
 | A combined algorithm for image segmentation using neural networks and 3D surface reconstruction using dynamic meshes Constantino Carlos Reyes-Aldasoro, M. E. Algorri Published in Revista Mexicana de Ingeniería Biomédica, January 2000 (see publication) Research themes: Machine Learning, AI, Deep Learning, Medical Imaging, Microscopy Type: Paper |
 | A hybrid model based on dynamic programming, neural networks, and surrogate value for inventory optimisation applications C. C. Reyes-Aldasoro, A. R. Ganguly, G. Lemus, A. and Gupta Published in Journal of the Operational Research Society, January 1999 (see publication) Research themes: Machine Learning, AI, Deep Learning, Microscopy Type: Paper |