Adel Saleh

Orcid: 0000-0001-5502-100X

According to our database1, Adel Saleh authored at least 28 papers between 2015 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Detecting Breast Tumors in Tomosynthesis Images Utilizing Deep Learning-Based Dynamic Ensemble Approach.
Comput., October, 2023

Stacking Up for Success: A Cascade Network Model for Efficient Road Crack Segmentation.
Proceedings of the Artificial Intelligence Research and Development, 2023

2022
Breast Tumor Classification in Digital Tomosynthesis Based on Deep Learning Radiomics.
Proceedings of the Artificial Intelligence Research and Development, 2022

2021
Efficient Multi-Organ Multi-Center Cell Nuclei Segmentation Method Based on Deep Learnable Aggregation Network.
Traitement du Signal, 2021

Promising Deep Semantic Nuclei Segmentation Models for Multi-Institutional Histopathology Images of Different Organs.
Int. J. Interact. Multim. Artif. Intell., 2021

Lesion Detection in Breast Tomosynthesis Using Efficient Deep Learning and Data Augmentation Techniques.
Proceedings of the Artificial Intelligence Research and Development, 2021

2020
Breast tumor segmentation and shape classification in mammograms using generative adversarial and convolutional neural network.
Expert Syst. Appl., 2020

Channel-wise Aggregation with Self-correction Mechanism for Multi-center Multi-Organ Nuclei Segmentation in Whole Slide Imaging.
Proceedings of the 15th International Joint Conference on Computer Vision, 2020

2019
FinSeg: Finger Parts Semantic Segmentation using Multi-scale Feature Maps Aggregation of FCN.
Proceedings of the 14th International Joint Conference on Computer Vision, 2019

Automated System for Breast Cancer Detection from Electronic Health Records.
Proceedings of the Artificial Intelligence Research and Development, 2019

2018
Aggregating the temporal coherent descriptors in videos using multiple learning kernel for action recognition.
Pattern Recognit. Lett., 2018

Breast Mass Segmentation and Shape Classification in Mammograms Using Deep Neural Networks.
CoRR, 2018

REFUGE CHALLENGE 2018-Task 2: Deep Optic Disc and Cup Segmentation in Fundus Images Using U-Net and Multi-scale Feature Matching Networks.
CoRR, 2018

Retinal Optic Disc Segmentation using Conditional Generative Adversarial Network.
CoRR, 2018

Conditional Generative Adversarial and Convolutional Networks for X-ray Breast Mass Segmentation and Shape Classification.
CoRR, 2018

Conditional Generative Adversarial and Convolutional Networks for X-ray Breast Mass Segmentation and Shape Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

SLSDeep: Skin Lesion Segmentation Based on Dilated Residual and Pyramid Pooling Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Retinal Optic Disc Segmentation Using Conditional Generative Adversarial Network.
Proceedings of the Artificial Intelligence Research and Development, 2018

2017
Classification of Breast Cancer Molecular Subtypes from Their Micro-Texture in Mammograms Using a VGGNet-Based Convolutional Neural Network.
Proceedings of the Recent Advances in Artificial Intelligence Research and Development, 2017

FoodPlaces: Learning Deep Features for Food Related Scene Understanding.
Proceedings of the Recent Advances in Artificial Intelligence Research and Development, 2017

Feature Learning for Breast Tumour Classification Using Bio-Inspired Optimization Algorithms.
Proceedings of the Recent Advances in Artificial Intelligence Research and Development, 2017

2016
Automatic nipple detection in breast thermograms.
Expert Syst. Appl., 2016

Exploiting the Kinematic of the Trajectories of the Local Descriptors to Improve Human Action Recognition.
Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2016), 2016

Analysis of Temporal Coherence in Videos for Action Recognition.
Proceedings of the Image Analysis and Recognition - 13th International Conference, 2016

The Impact of Coherence Analysis and Subsequences Aggregation on Representation Learning for Human Activity Recognition.
Proceedings of the Artificial Intelligence Research and Development, 2016

Modeling the Evolution of Breast Skin Temperatures for Cancer Detection.
Proceedings of the Artificial Intelligence Research and Development, 2016

2015
Multiphase Region-based Active Contours for Semi-automatic Segmentation of Brain MRI Images.
Proceedings of the VISAPP 2015, 2015

Breast Tissue Characterization in X-Ray and Ultrasound Images using Fuzzy Local Directional Patterns and Support Vector Machines.
Proceedings of the VISAPP 2015, 2015


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