Breast Tissue Characterization in X-Ray and Ultrasound Images using Fuzzy Local Directional Patterns and Support Vector Machines. - Mohamed Abdel-Nasser; Domenec Puig; Antonio Moreno; Adel Saleh; Joan Martí; Luis Martin; Anna Magarolas (VISAPP (1), 2015)

Multiphase Region-based Active Contours for Semi-automatic Segmentation of Brain MRI Images. - Farhan Akram; Domenec Puig; Miguel Ángel García; Adel Saleh (VISAPP (1), 2015)

Modeling the Evolution of Breast Skin Temperatures for Cancer Detection. - Mohamed Abdel-Nasser; Adel Saleh; Antonio Moreno; Domenec Puig (CCIA, 2016)

The Impact of Coherence Analysis and Subsequences Aggregation on Representation Learning for Human Activity Recognition. - Adel Saleh; Mohamed Abdel-Nasser; Miguel Ángel García; Domenec Puig (CCIA, 2016)

Analysis of Temporal Coherence in Videos for Action Recognition. - Adel Saleh; Mohamed Abdel-Nasser; Farhan Akram; Miguel Ángel García; Domenec Puig (ICIAR, 2016)

Exploiting the Kinematic of the Trajectories of the Local Descriptors to Improve Human Action Recognition. - Adel Saleh; Miguel Ángel García; Farhan Akram; Mohamed Abdel-Nasser; Domenec Puig (VISIGRAPP (3: VISAPP), 2016)

Automatic nipple detection in breast thermograms. - Mohamed Abdel-Nasser; Adel Saleh; Antonio Moreno; Domenec Puig (Expert Syst. Appl., 2016)

Feature Learning for Breast Tumour Classification Using Bio-Inspired Optimization Algorithms. - Mohamed Abdel-Nasser; Adel Saleh; Antonio Moreno; Nasibeh Saffari Tabalvandani; Domenec Puig (CCIA, 2017)

FoodPlaces: Learning Deep Features for Food Related Scene Understanding. - Md. Mostafa Kamal Sarker; Maria Leyva; Adel Saleh; Vivek Kumar Singh 008; Farhan Akram; Petia Radeva; Domenec Puig (CCIA, 2017)

Classification of Breast Cancer Molecular Subtypes from Their Micro-Texture in Mammograms Using a VGGNet-Based Convolutional Neural Network. - Vivek Kumar Singh 008; Santiago Romaní; Jordina Torrents-Barrena; Farhan Akram; Nidhi Pandey; Md. Mostafa Kamal Sarker; Adel Saleh; Meritxell Arenas; Miguel Arquez; Domenec Puig (CCIA, 2017)

Retinal Optic Disc Segmentation Using Conditional Generative Adversarial Network. - Vivek Kumar Singh 008; Hatem A. Rashwan; Farhan Akram; Nidhi Pandey; Md. Mostafa Kamal Sarker; Adel Saleh; Saddam Abdulwahab; Najlaa Maaroof; Jordina Torrents-Barrena; Santiago Romaní; Domenec Puig (CCIA, 2018)

SLSDeep: Skin Lesion Segmentation Based on Dilated Residual and Pyramid Pooling Networks. - Md. Mostafa Kamal Sarker; Hatem A. Rashwan; Farhan Akram; Syeda Furruka Banu; Adel Saleh; Vivek Kumar Singh 008; Forhad U. H. Chowdhury; Saddam Abdulwahab; Santiago Romaní; Petia Radeva; Domenec Puig (MICCAI (2), 2018)

Conditional Generative Adversarial and Convolutional Networks for X-ray Breast Mass Segmentation and Shape Classification. - Vivek Kumar Singh 008; Santiago Romaní; Hatem A. Rashwan; Farhan Akram; Nidhi Pandey; Md. Mostafa Kamal Sarker; Saddam Abdulwahab; Jordina Torrents-Barrena; Adel Saleh; Miguel Arquez; Meritxell Arenas; Domenec Puig (MICCAI (2), 2018)

Conditional Generative Adversarial and Convolutional Networks for X-ray Breast Mass Segmentation and Shape Classification. - Vivek Kumar Singh 008; Santiago Romaní; Hatem A. Rashwan; Farhan Akram; Nidhi Pandey; Md. Mostafa Kamal Sarker; Jordina Torrents-Barrena; Adel Saleh; Meritxell Arenas; Domenec Puig (CoRR, 2018)

Retinal Optic Disc Segmentation using Conditional Generative Adversarial Network. - Vivek Kumar Singh 008; Hatem A. Rashwan; Farhan Akram; Nidhi Pandey; Md. Mostafa Kamal Sarker; Adel Saleh; Saddam Abdulwahab; Najlaa Maaroof; Santiago Romaní; Domenec Puig (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. - Vivek Kumar Singh 008; Hatem A. Rashwan; Adel Saleh; Farhan Akram; Md. Mostafa Kamal Sarker; Nidhi Pandey; Saddam Abdulwahab (CoRR, 2018)

Breast Mass Segmentation and Shape Classification in Mammograms Using Deep Neural Networks. - Vivek Kumar Singh 008; Hatem A. Rashwan; Santiago Romaní; Farhan Akram; Nidhi Pandey; Md. Mostafa Kamal Sarker; Adel Saleh; Meritxell Arenas; Miguel Arquez; Domenec Puig; Jordina Torrents-Barrena (CoRR, 2018)

Aggregating the temporal coherent descriptors in videos using multiple learning kernel for action recognition. - Adel Saleh; Mohamed Abdel-Nasser; Miguel Ángel García; Domenec Puig (Pattern Recognit. Lett., 2018)

Automated System for Breast Cancer Detection from Electronic Health Records. - Mohamed Abdel-Nasser; Adel Saleh; Domenec Puig (CCIA, 2019)

FinSeg: Finger Parts Semantic Segmentation using Multi-scale Feature Maps Aggregation of FCN. - Adel Saleh; Hatem A. Rashwan; Mohamed Abdel-Nasser; Vivek Kumar Singh 008; Saddam Abdulwahab; Md. Mostafa Kamal Sarker; Miguel Ángel García; Domenec Puig (VISIGRAPP (5: VISAPP), 2019)

Channel-wise Aggregation with Self-correction Mechanism for Multi-center Multi-Organ Nuclei Segmentation in Whole Slide Imaging. - Mohamed Abdel-Nasser; Adel Saleh; Domenec Puig (VISIGRAPP (4: VISAPP), 2020)

Breast tumor segmentation and shape classification in mammograms using generative adversarial and convolutional neural network. - Vivek Kumar Singh 008; Hatem A. Rashwan; Santiago Romaní; Farhan Akram; Nidhi Pandey; Md. Mostafa Kamal Sarker; Adel Saleh; Meritxell Arenas; Miguel Arquez; Domenec Puig; Jordina Torrents-Barrena (Expert Syst. Appl., 2020)

Lesion Detection in Breast Tomosynthesis Using Efficient Deep Learning and Data Augmentation Techniques. - Loay Hassan; Mohamed Abdel-Nasser; Adel Saleh; Domenec Puig (CCIA, 2021)

Promising Deep Semantic Nuclei Segmentation Models for Multi-Institutional Histopathology Images of Different Organs. - Loay Hassan; Adel Saleh; Mohamed Abdel-Nasser; Osama Ahmed Omer; Domenec Puig (Int. J. Interact. Multim. Artif. Intell., 2021)

Efficient Multi-Organ Multi-Center Cell Nuclei Segmentation Method Based on Deep Learnable Aggregation Network. - Loay Hassan; Adel Saleh; Mohamed Abdel-Nasser; Osama Ahmed Omer; Domenec Puig (Traitement du Signal, 2021)

Breast Tumor Classification in Digital Tomosynthesis Based on Deep Learning Radiomics. - Loay Hassan; Mohamed Abdel-Nasser; Adel Saleh; Domenec Puig (CCIA, 2022)

Stacking Up for Success: A Cascade Network Model for Efficient Road Crack Segmentation. - Ammar M. Okran; Adel Saleh; Domenec Puig; Hatem A. Rashwan (CCIA, 2023)

Detecting Breast Tumors in Tomosynthesis Images Utilizing Deep Learning-Based Dynamic Ensemble Approach. - Loay Hassan; Adel Saleh; Vivek Kumar Singh 008; Domenec Puig; Mohamed Abdel-Nasser (Comput., 2023)

Classifying Breast Tumors in Digital Tomosynthesis by Combining Image Quality-Aware Features and Tumor Texture Descriptors. - Loay Hassan; Mohamed Abdel-Nasser; Adel Saleh; Domenec Puig (Mach. Learn. Knowl. Extr., 2024)

Efficient crack segmentation with multi-decoder networks and enhanced feature fusion. - Ammar M. Okran; Hatem A. Rashwan; Adel Saleh; Domenec Puig (Eng. Appl. Artif. Intell., 2025)