Multiresolution mammogram analysis in multilevel decomposition. - Essam A. Rashed; Ismail A. Ismail; Sherif I. Zaki (Pattern Recognit. Lett., 2007)

An Elliptical Basis Function Network for Non-blind Image Deconvolution. - Mohammad Hashem; Essam A. Rashed; Fatma Harby Mohamed (ICCTA, 2015)

Sparsity-constrained three-dimensional image reconstruction for C-arm angiography. - Essam A. Rashed; Mohammad al-Shatouri; Hiroyuki Kudo (Comput. Biol. Medicine, 2015)

Interactive Gestures for Liver Angiography Operation. - Dina A. Elmanakhly; Ayman Atia; Essam A. Rashed; Mostafa-Sami M. Mostafa (HCI (15), 2016)

Low Dose CT Image Restoration by Incremental Learning and Ant Colony Optimization. - Mohamed Hashem; Essam A. Rashed; Fatma Harby Mohamed (ICCTA, 2016)

Probabilistic atlas prior for CT image reconstruction. - Essam A. Rashed; Hiroyuki Kudo (Comput. Methods Programs Biomed., 2016)

Double-Sided Sliding-Paraboloid (DSSP): A new tool for preprocessing GPR data. - Mohamed Rashed; Essam A. Rashed (Comput. Geosci., 2017)

An Interactive Mixed Reality Imaging System for Minimally Invasive Surgeries. - Samir Abou El-Seoud; Amr S. Mady; Essam A. Rashed (ICSIE, 2018)

Image Denoising Technique for CT Dose Modulation. - Haneen A. Elyamani; Samir Abou El-Seoud; Essam A. Rashed (ICSIE, 2018)

Computer Aided Diagnosis System for Liver Cirrhosis Based on Ultrasound Images. - Reham Rabie; Mohamed Meselhy Eltoukhy; Mohammad al-Shatouri; Essam A. Rashed (ICSIE, 2018)

Generation of Head Models for Brain Stimulation Using Deep Convolution Networks. - Essam A. Rashed; José Gómez-Tames; Akimasa Hirata (ICIP, 2019)

Deep learning approach for breast cancer diagnosis. - Essam A. Rashed; M. Samir Abou El-Seoud (ICSIE, 2019)

Spatial Averaging Schemes of In Situ Electric Field for Low-Frequency Magnetic Field Exposures. - Yinliang Diao; José Gómez-Tames; Essam A. Rashed; Robert Kavet; Akimasa Hirata (IEEE Access, 2019)

Human Head Skin Thickness Modeling for Electromagnetic Dosimetry. - Essam A. Rashed; José Gómez-Tames; Akimasa Hirata (IEEE Access, 2019)

Non-Uniform Conductivity Estimation for Personalized Brain Stimulation using Deep Learning. - Essam A. Rashed; José Gómez-Tames; Akimasa Hirata (CoRR, 2019)

Learning-based estimation of dielectric properties and tissue density in head models for personalized radio-frequency dosimetry. - Essam A. Rashed; Yinliang Diao; Akimasa Hirata (CoRR, 2019)

An Interactive Mixed Reality Ray Tracing Rendering Mobile Application of Medical Data in Minimally Invasive Surgeries. - M. Samir Abou El-Seoud; Amr S. Mady; Essam A. Rashed (Int. J. Interact. Mob. Technol., 2019)

Development of accurate human head models for personalized electromagnetic dosimetry using deep learning. - Essam A. Rashed; José Gómez-Tames; Akimasa Hirata (NeuroImage, 2019)

Large-Scale Analysis of the Head Proximity Effects on Antenna Performance Using Machine Learning Based Models. - Yinliang Diao; Essam A. Rashed; Akimasa Hirata (IEEE Access, 2020)

Evaluation of SAR and Temperature Rise in Human Hand Due to Contact Current From 100 kHz to 100 MHz. - Taiki Murakawa; Yinliang Diao; Essam A. Rashed; Sachiko Kodera; Yoshihiro Tanaka; Yoshitsugu Kamimura; Shin Kitamura; Shintaro Uehara; Yohei Otaka; Akimasa Hirata (IEEE Access, 2020)

Model-based approach for analyzing prevalence of nuclear cataracts in elderly residents. - Sachiko Kodera; Akimasa Hirata; Fumiaki Miura; Essam A. Rashed; Natsuko Hatsusaka; Naoki Yamamoto; Eri Kubo; Hiroshi Sasaki (Comput. Biol. Medicine, 2020)

Neural networks approach for mammography diagnosis using wavelets features. - Essam A. Rashed; Mohamed G. Awad (CoRR, 2020)

Influence of Absolute Humidity and Population Density on COVID-19 Spread and Decay Durations: Multi-prefecture Study in Japan. - Akimasa Hirata; Sachiko Kodera; José Gómez-Tames; Essam A. Rashed (CoRR, 2020)

Correlation between COVID-19 morbidity and mortality rates in Japan and local population density, temperature and absolute humidity. - Sachiko Kodera; Essam A. Rashed; Akimasa Hirata (CoRR, 2020)

Influence of segmentation accuracy in structural MR head scans on electric field computation for TMS and tES. - Essam A. Rashed; José Gómez-Tames; Akimasa Hirata (CoRR, 2020)

End-to-end semantic segmentation of personalized deep brain structures for non-invasive brain stimulation. - Essam A. Rashed; José Gómez-Tames; Akimasa Hirata (Neural Networks, 2020)

Deep Learning-Based Development of Personalized Human Head Model With Non-Uniform Conductivity for Brain Stimulation. - Essam A. Rashed; José Gómez-Tames; Akimasa Hirata (IEEE Trans. Medical Imaging, 2020)

An Improved Equilibrium Optimizer Algorithm for Features Selection: Methods and Analysis. - Dina A. Elmanakhly; Mohamed Mostafa Saleh; Essam A. Rashed (IEEE Access, 2021)

Search-Based Regression Testing Optimization. - Nagwa R. Fisal; Abeer Hamdy; Essam A. Rashed (Int. J. Open Source Softw. Process., 2021)

Knowledge discovery from emergency ambulance dispatch during COVID-19: A case study of Nagoya City, Japan. - Essam A. Rashed; Sachiko Kodera; Hidenobu Shirakami; Ryotetsu Kawaguchi; Kazuhiro Watanabe; Akimasa Hirata (J. Biomed. Informatics, 2021)

ECG Localization Method Based on Volume Conductor Model and Kalman Filtering. - Yuki Nakano; Essam A. Rashed; Tatsuhito Nakane; Ilkka Laakso; Akimasa Hirata (Sensors, 2021)

Adaptive Weighted Sum Bi-objective Bat for Regression Testing Optimization. - Nagwa R. Fisal; Abeer Hamdy; Essam A. Rashed (REV, 2022)

BinHOA: Efficient Binary Horse Herd Optimization Method for Feature Selection: Analysis and Validations. - Dina A. Elmanakhly; Mohamed Mostafa Saleh; Essam A. Rashed; Mohamed Abdel-Basset (IEEE Access, 2022)

Did the Tokyo Olympic Games enhance the transmission of COVID-19? An interpretation with machine learning. - Akimasa Hirata; Sachiko Kodera; Yinliang Diao; Essam A. Rashed (Comput. Biol. Medicine, 2022)

COVID-19 forecasting using new viral variants and vaccination effectiveness models. - Essam A. Rashed; Sachiko Kodera; Akimasa Hirata (Comput. Biol. Medicine, 2022)

COVID-19 Status Forecasting Using New Viral variants and Vaccination Effectiveness Models. - Essam A. Rashed; Sachiko Kodera; Akimasa Hirata (CoRR, 2022)

Multi-Objective Adapted Binary Bat for Test Suite Reduction. - Nagwa R. Fisal; Abeer Hamdy; Essam A. Rashed (Intell. Autom. Soft Comput., 2022)

Intercomparison of the Averaged Induced Electric Field in Learning-Based Human Head Models Exposed to Low-Frequency Magnetic Fields. - Yinliang Diao; Essam A. Rashed; Luca Giaccone; Ilkka Laakso; Congsheng Li; Riccardo Scorretti; Yoichi Sekiba; Kenichi Yamazaki; Akimasa Hirata (IEEE Access, 2023)

SHARM: Segmented Head Anatomical Reference Models. - Essam A. Rashed; Mohammad al-Shatouri; Ilkka Laakso; Akimasa Hirata (CoRR, 2023)

Neuro-TransUNet: A comprehensive transformer-based architecture for precise segmentation of stroke lesions in 3D MRI. - Muhammad Nouman; Mohamed Abdalla Mabrok; Essam A. Rashed (ICMIP, 2024)

Segmentation of retinal arteries and veins using deep learning with limited training data. - Ahmed Tamer Salah; Ghada Khoriba; Essam A. Rashed (ICMIP, 2024)

Efficient Attention-guided Transformer for brain stroke segmentation. - Ahmed Soliman; Yalda Zafari-Ghadim; Essam A. Rashed; Mohamed Abdalla Mabrok (ICMIP, 2024)

Effect of the Conductivity Variations on Computed Electric Field Induced in Learning-Based Models. - Yinliang Diao; Essam A. Rashed; Luca Giaccone; Ilkka Laakso; Congsheng Li; Riccardo Scorretti; Akimasa Hirata (IEEE Access, 2024)

Deep Models for Stroke Segmentation: Do Complex Architectures Always Perform Better? - Ahmed Soliman; Yalda Zafari-Ghadim; Yousif Yousif; Ahmed Ibrahim; Amr Mohamed 001; Essam A. Rashed; Mohamed Abdalla Mabrok (IEEE Access, 2024)

Brain Stroke Segmentation Using Deep Learning Models: A Comparative Study. - Ahmed Soliman; Yousif Yousif; Ahmed Ibrahim; Yalda Zafari-Ghadim; Essam A. Rashed; Mohamed Abdalla Mabrok (CoRR, 2024)

Transformers-based architectures for stroke segmentation: A review. - Yalda Zafari-Ghadim; Essam A. Rashed; Mohamed Abdalla Mabrok (CoRR, 2024)

Neuro-TransUNet: Segmentation of stroke lesion in MRI using transformers. - Muhammad Nouman; Mohamed Abdalla Mabrok; Essam A. Rashed (CoRR, 2024)

Transformers-based architectures for stroke segmentation: a review. - Yalda Zafari-Ghadim; Essam A. Rashed; Amr Mohamed 001; Mohamed Mabrok (Artif. Intell. Rev., 2024)

Evaluating Segmentation Accuracy with Diverse Prompt Strategies in Medsam. - Muhammad Nouman; Ghada Khoriba; Essam A. Rashed (ISBI, 2025)

Automatic Generation of Brain Tumor Diagnostic Reports from Multimodality MRI Using Large Language Models. - Essam A. Rashed; Walayat Hussain; Mohammed Mousa; Mohammad al-Shatouri (ISBI, 2025)

Enhanced retinal arteries and veins segmentation through deep learning with conditional random fields. - Mennatullah Mahmoud; Mohammad Mansour; Hisham M. Elrefai; Amira J. Hamed; Essam A. Rashed (Biomed. Signal Process. Control., 2025)

SHARM: Segmented Head Anatomical Reference Models. - Essam A. Rashed; Mohammad al-Shatouri; Ilkka Laakso; Sachiko Kodera; Akimasa Hirata (Biomed. Signal Process. Control., 2025)

A Hybrid CNN-VSSM model for Multi-View, Multi-Task Mammography Analysis: Robust Diagnosis with Attention-Based Fusion. - Yalda Zafari; Roaa Elalfy; Mohamed Mabrok; Somaya Al-Máadeed; Tamer Khattab; Essam A. Rashed (CoRR, 2025)